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Zhang Y, Win AK, Makalic E, Buchanan DD, Pai RK, Phipps AI, Rosty C, Boussioutas A, Karahalios A, Jenkins MA. Associations between pathological features and risk of metachronous colorectal cancer. Int J Cancer 2024; 155:1023-1032. [PMID: 38676439 DOI: 10.1002/ijc.34979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 03/07/2024] [Accepted: 04/02/2024] [Indexed: 04/28/2024]
Abstract
Survivors of colorectal cancer (CRC) are at risk of developing another primary colorectal cancer - metachronous CRC. Understanding which pathological features of the first tumour are associated with risk of metachronous CRC might help tailor existing surveillance guidelines. Population-based CRC cases were recruited from the United States, Canada and Australia between 1997 and 2012 and followed prospectively until 2022 by the Colon Cancer Family Registry. Metachronous CRC was defined as a new primary CRC diagnosed at least 1 year after the initial CRC. Those with the genetic cancer predisposition Lynch syndrome or MUTYH mutation carriers were excluded. Cox regression models were fitted to estimate hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) for the associations. Of 6085 CRC cases, 138 (2.3%) were diagnosed with a metachronous CRC over a median follow-up time of 12 years (incidence: 2.0 per 1000 person-years). CRC cases with a synchronous CRC were 3.4-fold more likely to develop a metachronous CRC (adjusted HR: 3.36, 95% CI: 1.89-5.98) than those without a synchronous tumour. CRC cases with MMR-deficient tumours had a 72% increased risk of metachronous CRC (adjusted HR: 1.72, 95% CI: 1.11-2.64) compared to those with MMR-proficient tumours. Compared to cases who had an adenocarcinoma histologic type, those with an undifferentiated histologic type were 77% less likely to develop a metachronous CRC (adjusted HR: 0.23, 95% CI: 0.06-0.94). Existing surveillance guidelines for CRC survivors could be updated to include increased surveillance for those whose first CRC was diagnosed with a synchronous CRC or was MMR-deficient.
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Affiliation(s)
- Ye Zhang
- Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia
| | - Aung Ko Win
- Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Enes Makalic
- Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Daniel D Buchanan
- Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Rish K Pai
- Department of Pathology and Laboratory Medicine, Mayo Clinic Arizona, Scottsdale, Arizona, USA
| | - Amanda I Phipps
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | | | - Alex Boussioutas
- Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
- Department of Gastroenterology, The Alfred, Monash University, Melbourne, Victoria, Australia
| | - Amalia Karahalios
- Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Mark A Jenkins
- Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia
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Church J. Being a Colorectal Geneticist. Dis Colon Rectum 2024; 67:743-747. [PMID: 38441139 DOI: 10.1097/dcr.0000000000003306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Affiliation(s)
- James Church
- Global Center for Integrated Colorectal Surgery and IBD Interventional Endoscopy, Columbia University Medical Center, New York, New York
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3
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Wang CY, Hsu L, Harrison T. Robust best linear weighted estimator with missing covariates in survival analysis. Stat Med 2024; 43:1790-1803. [PMID: 38402690 PMCID: PMC11093525 DOI: 10.1002/sim.10044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 12/12/2023] [Accepted: 02/09/2024] [Indexed: 02/27/2024]
Abstract
Missing data in covariates can result in biased estimates and loss of power to detect associations. We consider Cox regression in which some covariates are subject to missing. The inverse probability weighted approach is often applied to regression analysis with missing covariates. Inverse probability weighted estimators typically are less efficient than likelihood-based estimators, but in general are more robust against model misspecification. In this article, we propose a robust best linear weighted estimator for Cox regression with missing covariates. Our proposed estimator is the projection of the simple inverse probability weighted estimator onto the orthogonal complement of the score space based on a working regression model of the observed data. The efficiency gain is from the use of the association between the survival outcome variable and the available covariates, which is the working regression model. The asymptotic distribution is derived, and the finite sample performance of the proposed estimator is examined via extensive simulation studies. The methods are applied to a colorectal cancer study to assess the association of the microsatellite instability status with colorectal cancer-specific mortality.
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Affiliation(s)
- Ching-Yun Wang
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, P.O. Box 19024, Seattle, WA 98109-1024, U.S.A
| | - Li Hsu
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, P.O. Box 19024, Seattle, WA 98109-1024, U.S.A
| | - Tabitha Harrison
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, P.O. Box 19024, Seattle, WA 98109-1024, U.S.A
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4
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Thomas CE, Georgeson P, Qu C, Steinfelder RS, Buchanan DD, Song M, Harrison TA, Um CY, Hullar MA, Jenkins MA, Guelpen BV, Lynch BM, Melaku YA, Huyghe JR, Aglago EK, Berndt SI, Boardman LA, Campbell PT, Cao Y, Chan AT, Drew DA, Figueiredo JC, French AJ, Giannakis M, Goode EL, Gruber SB, Gsur A, Gunter MJ, Hoffmeister M, Hsu L, Huang WY, Moreno V, Murphy N, Newcomb PA, Newton CC, Nowak JA, Obón-Santacana M, Ogino S, Sun W, Toland AE, Trinh QM, Ugai T, Zaidi SH, Peters U, Phipps AI. Epidemiologic Factors in Relation to Colorectal Cancer Risk and Survival by Genotoxic Colibactin Mutational Signature. Cancer Epidemiol Biomarkers Prev 2024; 33:534-546. [PMID: 38252034 PMCID: PMC10990777 DOI: 10.1158/1055-9965.epi-23-0600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 08/31/2023] [Accepted: 01/18/2024] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND The genotoxin colibactin causes a tumor single-base substitution (SBS) mutational signature, SBS88. It is unknown whether epidemiologic factors' association with colorectal cancer risk and survival differs by SBS88. METHODS Within the Genetic Epidemiology of Colorectal Cancer Consortium and Colon Cancer Family Registry, we measured SBS88 in 4,308 microsatellite stable/microsatellite instability low tumors. Associations of epidemiologic factors with colorectal cancer risk by SBS88 were assessed using multinomial regression (N = 4,308 cases, 14,192 controls; cohort-only cases N = 1,911), and with colorectal cancer-specific survival using Cox proportional hazards regression (N = 3,465 cases). RESULTS 392 (9%) tumors were SBS88 positive. Among all cases, the highest quartile of fruit intake was associated with lower risk of SBS88-positive colorectal cancer than SBS88-negative colorectal cancer [odds ratio (OR) = 0.53, 95% confidence interval (CI) 0.37-0.76; OR = 0.75, 95% CI 0.66-0.85, respectively, Pheterogeneity = 0.047]. Among cohort studies, associations of body mass index (BMI), alcohol, and fruit intake with colorectal cancer risk differed by SBS88. BMI ≥30 kg/m2 was associated with worse colorectal cancer-specific survival among those SBS88-positive [hazard ratio (HR) = 3.40, 95% CI 1.47-7.84], but not among those SBS88-negative (HR = 0.97, 95% CI 0.78-1.21, Pheterogeneity = 0.066). CONCLUSIONS Most epidemiologic factors did not differ by SBS88 for colorectal cancer risk or survival. Higher BMI may be associated with worse colorectal cancer-specific survival among those SBS88-positive; however, validation is needed in samples with whole-genome or whole-exome sequencing available. IMPACT This study highlights the importance of identification of tumor phenotypes related to colorectal cancer and understanding potential heterogeneity for risk and survival.
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Affiliation(s)
- Claire E Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Peter Georgeson
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Australia
- University of Melbourne Centre for Cancer Research, The University of Melbourne, Parkville, Australia
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Robert S Steinfelder
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Australia
- University of Melbourne Centre for Cancer Research, The University of Melbourne, Parkville, Australia
- Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Mingyang Song
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Caroline Y Um
- Department of Population Science, American Cancer Society, Atlanta, Georgia
| | - Meredith A Hullar
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Brigid M Lynch
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Yohannes Adama Melaku
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- FHMRI Sleep, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Elom K Aglago
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, UK
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Lisa A Boardman
- Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Yin Cao
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, Missouri, USA
- Alvin J. Siteman Cancer Center at Barnes-Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri, USA
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Andrew T Chan
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - David A Drew
- Clinical & Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Amy J French
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ellen L Goode
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Stephen B Gruber
- Department of Medical Oncology & Therapeutics Research and Center for Precision Medicine, City of Hope National Medical Center, Duarte CA, USA
| | - Andrea Gsur
- Center for Cancer Research, Medical University of Vienna, Vienna, Austria
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, United Kingdom
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Victor Moreno
- Unit of Biomarkers and Suceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L’Hospitalet del Llobregat, 08908 Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat,08908 Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine and health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L’Hospitalet de Llobregat, 08908 Barcelona, Spain
| | - Neil Murphy
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Christina C Newton
- Department of Population Science, American Cancer Society, Atlanta, Georgia
| | - Jonathan A Nowak
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Mireia Obón-Santacana
- Unit of Biomarkers and Suceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L’Hospitalet del Llobregat, 08908 Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat,08908 Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
| | - Shuji Ogino
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Wei Sun
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Amanda E Toland
- Departments of Cancer Biology and Genetics and Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - Quang M Trinh
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Tomotaka Ugai
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Syed H Zaidi
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
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5
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Chan JM, Clendenning M, Joseland S, Georgeson P, Mahmood K, Joo JE, Walker R, Como J, Preston S, Chai SM, Chu YL, Meyers AL, Pope BJ, Duggan D, Fink JL, Macrae FA, Rosty C, Winship IM, Jenkins MA, Buchanan DD. Inherited BRCA1 and RNF43 pathogenic variants in a familial colorectal cancer type X family. Fam Cancer 2024; 23:9-21. [PMID: 38063999 PMCID: PMC10869370 DOI: 10.1007/s10689-023-00351-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 11/21/2023] [Indexed: 02/17/2024]
Abstract
Genetic susceptibility to familial colorectal cancer (CRC), including for individuals classified as Familial Colorectal Cancer Type X (FCCTX), remains poorly understood. We describe a multi-generation CRC-affected family segregating pathogenic variants in both BRCA1, a gene associated with breast and ovarian cancer and RNF43, a gene associated with Serrated Polyposis Syndrome (SPS). A single family out of 105 families meeting the criteria for FCCTX (Amsterdam I family history criteria with mismatch repair (MMR)-proficient CRCs) recruited to the Australasian Colorectal Cancer Family Registry (ACCFR; 1998-2008) that underwent whole exome sequencing (WES), was selected for further testing. CRC and polyp tissue from four carriers were molecularly characterized including a single CRC that underwent WES to determine tumor mutational signatures and loss of heterozygosity (LOH) events. Ten carriers of a germline pathogenic variant BRCA1:c.2681_2682delAA p.Lys894ThrfsTer8 and eight carriers of a germline pathogenic variant RNF43:c.988 C > T p.Arg330Ter were identified in this family. Seven members carried both variants, four of which developed CRC. A single carrier of the RNF43 variant met the 2019 World Health Organization (WHO2019) criteria for SPS, developing a BRAF p.V600 wildtype CRC. Loss of the wildtype allele for both BRCA1 and RNF43 variants was observed in three CRC tumors while a LOH event across chromosome 17q encompassing both genes was observed in a CRC. Tumor mutational signature analysis identified the homologous recombination deficiency (HRD)-associated COSMIC signatures SBS3 and ID6 in a CRC for a carrier of both variants. Our findings show digenic inheritance of pathogenic variants in BRCA1 and RNF43 segregating with CRC in a FCCTX family. LOH and evidence of BRCA1-associated HRD supports the importance of both these tumor suppressor genes in CRC tumorigenesis.
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Affiliation(s)
- James M Chan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, Victorian Comprehensive Cancer Centre, The University of Melbourne, 305 Grattan Street, Parkville, VIC, 3010, Australia
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia
| | - Mark Clendenning
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, Victorian Comprehensive Cancer Centre, The University of Melbourne, 305 Grattan Street, Parkville, VIC, 3010, Australia
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia
| | - Sharelle Joseland
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, Victorian Comprehensive Cancer Centre, The University of Melbourne, 305 Grattan Street, Parkville, VIC, 3010, Australia
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia
| | - Peter Georgeson
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, Victorian Comprehensive Cancer Centre, The University of Melbourne, 305 Grattan Street, Parkville, VIC, 3010, Australia
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia
| | - Khalid Mahmood
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, Victorian Comprehensive Cancer Centre, The University of Melbourne, 305 Grattan Street, Parkville, VIC, 3010, Australia
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia
- Melbourne Bioinformatics, The University of Melbourne, Melbourne, VIC, Australia
| | - Jihoon E Joo
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, Victorian Comprehensive Cancer Centre, The University of Melbourne, 305 Grattan Street, Parkville, VIC, 3010, Australia
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia
| | - Romy Walker
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, Victorian Comprehensive Cancer Centre, The University of Melbourne, 305 Grattan Street, Parkville, VIC, 3010, Australia
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia
| | - Julia Como
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, Victorian Comprehensive Cancer Centre, The University of Melbourne, 305 Grattan Street, Parkville, VIC, 3010, Australia
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia
| | - Susan Preston
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, Victorian Comprehensive Cancer Centre, The University of Melbourne, 305 Grattan Street, Parkville, VIC, 3010, Australia
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia
| | - Shuyi Marci Chai
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, Victorian Comprehensive Cancer Centre, The University of Melbourne, 305 Grattan Street, Parkville, VIC, 3010, Australia
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia
| | - Yen Lin Chu
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, Victorian Comprehensive Cancer Centre, The University of Melbourne, 305 Grattan Street, Parkville, VIC, 3010, Australia
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia
| | - Aaron L Meyers
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, Victorian Comprehensive Cancer Centre, The University of Melbourne, 305 Grattan Street, Parkville, VIC, 3010, Australia
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia
| | - Bernard J Pope
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, Victorian Comprehensive Cancer Centre, The University of Melbourne, 305 Grattan Street, Parkville, VIC, 3010, Australia
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia
- Melbourne Bioinformatics, The University of Melbourne, Melbourne, VIC, Australia
| | - David Duggan
- Quantitative Medicine and Systems Biology Division, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - J Lynn Fink
- Faculty of Medicine, Frazer Institute, The University of Queensland, Brisbane, QLD, Australia
- Australian Translational Genomics Centre, Queensland University of Technology, Brisbane, QLD, Australia
| | - Finlay A Macrae
- Colorectal Medicine and Genetics, Royal Melbourne Hospital, Parkville, VIC, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Christophe Rosty
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, Victorian Comprehensive Cancer Centre, The University of Melbourne, 305 Grattan Street, Parkville, VIC, 3010, Australia
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia
- Envoi Pathology, Brisbane, QLD, Australia
- School of Medicine, University of Queensland, Herston, QLD, Australia
| | - Ingrid M Winship
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Medicine, The University of Melbourne, Parkville, VIC, Australia
| | - Mark A Jenkins
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, VIC, Australia
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, Victorian Comprehensive Cancer Centre, The University of Melbourne, 305 Grattan Street, Parkville, VIC, 3010, Australia.
- Centre for Cancer Research, University of Melbourne, The University of Melbourne, Parkville, VIC, Australia.
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, VIC, Australia.
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6
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Joo JE, Chu YL, Georgeson P, Walker R, Mahmood K, Clendenning M, Meyers AL, Como J, Joseland S, Preston SG, Diepenhorst N, Toner J, Ingle DJ, Sherry NL, Metz A, Lynch BM, Milne RL, Southey MC, Hopper JL, Win AK, Macrae FA, Winship IM, Rosty C, Jenkins MA, Buchanan DD. Intratumoral presence of the genotoxic gut bacteria pks + E. coli, Enterotoxigenic Bacteroides fragilis, and Fusobacterium nucleatum and their association with clinicopathological and molecular features of colorectal cancer. Br J Cancer 2024; 130:728-740. [PMID: 38200234 PMCID: PMC10912205 DOI: 10.1038/s41416-023-02554-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 12/07/2023] [Accepted: 12/11/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND This study aimed to investigate clinicopathological and molecular tumour features associated with intratumoral pks+ Escherichia coli (pks+E.coli+), pks+E.coli- (non-E.coli bacteria harbouring the pks island), Enterotoxigenic Bacteroides fragilis (ETBF) and Fusobacterium nucleatum (F. nucleatum). METHODS We screened 1697 tumour-derived DNA samples from the Australasian Colorectal Cancer Family Registry, Melbourne Collaborative Cohort Study and the ANGELS study using targeted PCR. RESULTS Pks+E.coli+ was associated with male sex (P < 0.01) and APC:c.835-8 A > G somatic mutation (P = 0.03). The association between pks+E.coli+ and APC:c.835-8 A > G was specific to early-onset CRCs (diagnosed<45years, P = 0.02). The APC:c.835-A > G was not associated with pks+E.coli- (P = 0.36). F. nucleatum was associated with DNA mismatch repair deficiency (MMRd), BRAF:c.1799T>A p.V600E mutation, CpG island methylator phenotype, proximal tumour location, and high levels of tumour infiltrating lymphocytes (Ps < 0.01). In the stratified analysis by MMRd subgroups, F. nucleatum was associated with Lynch syndrome, MLH1 methylated and double MMR somatic mutated MMRd subgroups (Ps < 0.01). CONCLUSION Intratumoral pks+E.coli+ but not pks+E.coli- are associated with CRCs harbouring the APC:c.835-8 A > G somatic mutation, suggesting that this mutation is specifically related to DNA damage from colibactin-producing E.coli exposures. F. nucleatum was associated with both hereditary and sporadic MMRd subtypes, suggesting the MMRd tumour microenvironment is important for F. nucleatum colonisation irrespective of its cause.
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Affiliation(s)
- Jihoon E Joo
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
| | - Yen Lin Chu
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
| | - Peter Georgeson
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
| | - Romy Walker
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
| | - Khalid Mahmood
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
- Melbourne Bioinformatics, The University of Melbourne, Melbourne, VIC, Australia
| | - Mark Clendenning
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
| | - Aaron L Meyers
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Julia Como
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
| | - Sharelle Joseland
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
| | - Susan G Preston
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
| | - Natalie Diepenhorst
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
| | - Julie Toner
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
| | - Danielle J Ingle
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia
| | - Norelle L Sherry
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia
- Department of Infectious Diseases, Austin Health, Heidelberg, VIC, Australia
| | - Andrew Metz
- Endoscopy Unit, Department of Gastroenterology and Hepatology, The Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Medical School, The University of Melbourne, Parkville, VIC, Australia
| | - Brigid M Lynch
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Finlay A Macrae
- Colorectal Medicine and Genetics, The Royal Melbourne Hospital, Parkville, VIC, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Melbourne, VIC, Australia
- Department of Medicine, The University of Melbourne, Parkville, VIC, Australia
| | - Ingrid M Winship
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Melbourne, VIC, Australia
- Department of Medicine, The University of Melbourne, Parkville, VIC, Australia
| | - Christophe Rosty
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
- Envoi Specialist Pathologists, Brisbane, QLD, Australia
- University of Queensland, Brisbane, QLD, Australia
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, VIC, Australia.
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia.
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Melbourne, VIC, Australia.
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7
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Burnett-Hartman AN, Ton M, He Q, Malen RC, Potter JD, Reedy AM, Phipps AI, Newcomb PA. Dietary Factors Differ Between Young-Onset and Older-Onset Colorectal Cancer Patients. Nutr Cancer 2024; 76:352-355. [PMID: 38347682 PMCID: PMC10983792 DOI: 10.1080/01635581.2024.2316934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 02/02/2024] [Accepted: 02/05/2024] [Indexed: 03/02/2024]
Abstract
We aimed to evaluate differences in dietary factors between young-onset (diagnosed at ages <50) and older-onset colorectal cancer (CRC). CRC patients diagnosed from 1998 to 2018 reported to the Puget Sound Surveillance, Epidemiology, and End Results registry were recruited using mail and telephone. Consented patients completed questionnaires assessing demographics, medical history, and CRC risk factors, including dietary factors. We used multi-variable logistic regression to calculate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) comparing dietary intake in young-onset vs. older-onset CRC. Analyses included 1,087 young- and 2,554 older-onset CRC patients. Compared to older-onset CRC, young-onset CRC patients had lower intake of vegetables (OR for highest intake vs. lowest = 0.59 CI: 0.55, 0.64) and fruit (OR for highest intake vs. lowest = 0.94 CI: 0.88, 0.99) and higher intake of processed meat (OR for highest intake vs. lowest = 1.82 CI: 1.11, 2.99) and spicy food (OR for highest intake vs. lowest = 1.69 CI: 1.09, 2.61). There was no statistically significant difference between young- and older-onset CRC patients for red meat consumption. Dietary patterns differed between young- and older-onset CRC; young-onset CRC patients had lower intake of vegetables and fruit and higher intakes of processed meat and spicy food.
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Affiliation(s)
| | - Mimi Ton
- Fred Hutchinson Cancer Center, Seattle, Washington, USA
- University of Washington, School of Public Health, Seattle, Washington, USA
| | - Qianchuan He
- Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | | | - John D. Potter
- Fred Hutchinson Cancer Center, Seattle, Washington, USA
- University of Washington, School of Public Health, Seattle, Washington, USA
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | | | - Amanda I. Phipps
- Fred Hutchinson Cancer Center, Seattle, Washington, USA
- University of Washington, School of Public Health, Seattle, Washington, USA
| | - Polly A. Newcomb
- Fred Hutchinson Cancer Center, Seattle, Washington, USA
- University of Washington, School of Public Health, Seattle, Washington, USA
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8
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Bacher JW, Udho EB, Strauss EE, Vyazunova I, Gallinger S, Buchanan DD, Pai RK, Templeton AS, Storts DR, Eshleman JR, Halberg RB. A Highly Sensitive Pan-Cancer Test for Microsatellite Instability. J Mol Diagn 2023; 25:806-826. [PMID: 37544360 PMCID: PMC10629437 DOI: 10.1016/j.jmoldx.2023.07.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 07/10/2023] [Accepted: 07/18/2023] [Indexed: 08/08/2023] Open
Abstract
Microsatellite instability (MSI) is an evolving biomarker for cancer detection and treatment. MSI was first used to identify patients with Lynch syndrome, a hereditary form of colorectal cancer (CRC), but has recently become indispensable in predicting patient response to immunotherapy. To address the need for pan-cancer MSI detection, a new multiplex assay was developed that uses novel long mononucleotide repeat (LMR) markers to improve sensitivity. A total of 469 tumor samples from 20 different cancer types, including 319 from patients with Lynch syndrome, were tested for MSI using the new LMR MSI Analysis System. Results were validated by using deficient mismatch repair (dMMR) status according to immunohistochemistry as the reference standard and compared versus the Promega pentaplex MSI panel. The sensitivity of the LMR panel for detection of dMMR status by immunohistochemistry was 99% for CRC and 96% for non-CRC. The overall percent agreement between the LMR and Promega pentaplex panels was 99% for CRC and 89% for non-CRC tumors. An increased number of unstable markers and the larger size shifts observed in dMMR tumors using the LMR panel increased confidence in MSI determinations. The LMR MSI Analysis System expands the spectrum of cancer types in which MSI can be accurately detected.
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Affiliation(s)
- Jeffery W Bacher
- R&D Clinical Diagnostics, Promega Corporation, Madison, Wisconsin; Department of Medicine, University of Wisconsin, Madison, Wisconsin.
| | - Eshwar B Udho
- R&D Clinical Diagnostics, Promega Corporation, Madison, Wisconsin
| | | | - Irina Vyazunova
- R&D Clinical Diagnostics, Promega Corporation, Madison, Wisconsin
| | - Steven Gallinger
- Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia; Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Rish K Pai
- Health Science Research, Mayo Clinic, Scottsdale, Arizona
| | | | - Douglas R Storts
- R&D Clinical Diagnostics, Promega Corporation, Madison, Wisconsin
| | - James R Eshleman
- School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Richard B Halberg
- Department of Medicine, University of Wisconsin, Madison, Wisconsin; Department of Oncology, McArdle Laboratory of Cancer Research, University of Wisconsin, Madison, Wisconsin; University of Wisconsin Carbone Cancer Center, Madison, Wisconsin.
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9
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Walker R, Mahmood K, Como J, Clendenning M, Joo JE, Georgeson P, Joseland S, Preston SG, Pope BJ, Chan JM, Austin R, Bojadzieva J, Campbell A, Edwards E, Gleeson M, Goodwin A, Harris MT, Ip E, Kirk J, Mansour J, Mar Fan H, Nichols C, Pachter N, Ragunathan A, Spigelman A, Susman R, Christie M, Jenkins MA, Pai RK, Rosty C, Macrae FA, Winship IM, Buchanan DD. DNA Mismatch Repair Gene Variant Classification: Evaluating the Utility of Somatic Mutations and Mismatch Repair Deficient Colonic Crypts and Endometrial Glands. Cancers (Basel) 2023; 15:4925. [PMID: 37894291 PMCID: PMC10605939 DOI: 10.3390/cancers15204925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/03/2023] [Accepted: 10/03/2023] [Indexed: 10/29/2023] Open
Abstract
Germline pathogenic variants in the DNA mismatch repair (MMR) genes (Lynch syndrome) predispose to colorectal (CRC) and endometrial (EC) cancer. Lynch syndrome specific tumor features were evaluated for their ability to support the ACMG/InSiGHT framework in classifying variants of uncertain clinical significance (VUS) in the MMR genes. Twenty-eight CRC or EC tumors from 25 VUS carriers (6xMLH1, 9xMSH2, 6xMSH6, 4xPMS2), underwent targeted tumor sequencing for the presence of microsatellite instability/MMR-deficiency (MSI-H/dMMR) status and identification of a somatic MMR mutation (second hit). Immunohistochemical testing for the presence of dMMR crypts/glands in normal tissue was also performed. The ACMG/InSiGHT framework reclassified 7/25 (28%) VUS to likely pathogenic (LP), three (12%) to benign/likely benign, and 15 (60%) VUS remained unchanged. For the seven re-classified LP variants comprising nine tumors, tumor sequencing confirmed MSI-H/dMMR (8/9, 88.9%) and a second hit (7/9, 77.8%). Of these LP reclassified variants where normal tissue was available, the presence of a dMMR crypt/gland was found in 2/4 (50%). Furthermore, a dMMR endometrial gland in a carrier of an MSH2 exon 1-6 duplication provides further support for an upgrade of this VUS to LP. Our study confirmed that identifying these Lynch syndrome features can improve MMR variant classification, enabling optimal clinical care.
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Affiliation(s)
- Romy Walker
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia; (K.M.); (J.C.); (M.C.); (J.E.J.); (P.G.); (S.J.); (S.G.P.); (B.J.P.); (D.D.B.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia;
| | - Khalid Mahmood
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia; (K.M.); (J.C.); (M.C.); (J.E.J.); (P.G.); (S.J.); (S.G.P.); (B.J.P.); (D.D.B.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia;
- Melbourne Bioinformatics, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3052, Australia
| | - Julia Como
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia; (K.M.); (J.C.); (M.C.); (J.E.J.); (P.G.); (S.J.); (S.G.P.); (B.J.P.); (D.D.B.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia;
| | - Mark Clendenning
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia; (K.M.); (J.C.); (M.C.); (J.E.J.); (P.G.); (S.J.); (S.G.P.); (B.J.P.); (D.D.B.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia;
| | - Jihoon E. Joo
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia; (K.M.); (J.C.); (M.C.); (J.E.J.); (P.G.); (S.J.); (S.G.P.); (B.J.P.); (D.D.B.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia;
| | - Peter Georgeson
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia; (K.M.); (J.C.); (M.C.); (J.E.J.); (P.G.); (S.J.); (S.G.P.); (B.J.P.); (D.D.B.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia;
| | - Sharelle Joseland
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia; (K.M.); (J.C.); (M.C.); (J.E.J.); (P.G.); (S.J.); (S.G.P.); (B.J.P.); (D.D.B.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia;
| | - Susan G. Preston
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia; (K.M.); (J.C.); (M.C.); (J.E.J.); (P.G.); (S.J.); (S.G.P.); (B.J.P.); (D.D.B.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia;
| | - Bernard J. Pope
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia; (K.M.); (J.C.); (M.C.); (J.E.J.); (P.G.); (S.J.); (S.G.P.); (B.J.P.); (D.D.B.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia;
- Melbourne Bioinformatics, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3052, Australia
| | - James M. Chan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia; (K.M.); (J.C.); (M.C.); (J.E.J.); (P.G.); (S.J.); (S.G.P.); (B.J.P.); (D.D.B.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia;
| | - Rachel Austin
- Genetic Health Queensland, Royal Brisbane and Women’s Hospital, Brisbane, QLD 4006, Australia; (R.A.); (H.M.F.)
| | - Jasmina Bojadzieva
- Clinical Genetics Unit, Austin Health, Melbourne, VIC 3084, Australia; (J.B.); (A.C.)
| | - Ainsley Campbell
- Clinical Genetics Unit, Austin Health, Melbourne, VIC 3084, Australia; (J.B.); (A.C.)
| | - Emma Edwards
- Familial Cancer Service, Westmead Hospital, Sydney, NSW 2145, Australia;
| | - Margaret Gleeson
- Hunter Family Cancer Service, Newcastle, NSW 2298, Australia; (M.G.); (J.K.); (A.R.)
| | - Annabel Goodwin
- Cancer Genetics Department, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia; (A.G.); (A.S.)
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2050, Australia
| | - Marion T. Harris
- Monash Health Familial Cancer Centre, Clayton, VIC 3168, Australia;
| | - Emilia Ip
- Cancer Genetics Service, Liverpool Hospital, Liverpool, NSW 2170, Australia;
| | - Judy Kirk
- Hunter Family Cancer Service, Newcastle, NSW 2298, Australia; (M.G.); (J.K.); (A.R.)
| | - Julia Mansour
- Tasmanian Clinical Genetics Service, Royal Hobart Hospital, Hobart, TAS 7000, Australia;
| | - Helen Mar Fan
- Genetic Health Queensland, Royal Brisbane and Women’s Hospital, Brisbane, QLD 4006, Australia; (R.A.); (H.M.F.)
| | - Cassandra Nichols
- Genetic Services of Western Australia, King Edward Memorial Hospital, Perth, WA 6008, Australia; (C.N.); (N.P.)
| | - Nicholas Pachter
- Genetic Services of Western Australia, King Edward Memorial Hospital, Perth, WA 6008, Australia; (C.N.); (N.P.)
- Medical School, Faculty of Health and Medical Sciences, University of Western Australia, Perth, WA 6009, Australia
- School of Medicine, Curtin University, Perth, WA 6102, Australia
| | - Abiramy Ragunathan
- Hunter Family Cancer Service, Newcastle, NSW 2298, Australia; (M.G.); (J.K.); (A.R.)
| | - Allan Spigelman
- Cancer Genetics Department, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia; (A.G.); (A.S.)
- St Vincent’s Cancer Genetics Unit, Sydney, NSW 2010, Australia
- Surgical Professorial Unit, UNSW Clinical School of Clinical Medicine, Sydney, NSW 2052, Australia
| | - Rachel Susman
- Genetic Health Queensland, Royal Brisbane and Women’s Hospital, Brisbane, QLD 4006, Australia; (R.A.); (H.M.F.)
| | - Michael Christie
- Department of Medicine, Royal Melbourne Hospital, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3052, Australia;
- Department of Pathology, The Royal Melbourne Hospital, Melbourne, VIC 3052, Australia
| | - Mark A. Jenkins
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia;
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3052, Australia
| | - Rish K. Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ 85259, USA;
| | - Christophe Rosty
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia; (K.M.); (J.C.); (M.C.); (J.E.J.); (P.G.); (S.J.); (S.G.P.); (B.J.P.); (D.D.B.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia;
- Envoi Specialist Pathologists, Brisbane, QLD 4059, Australia
- School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, QLD 4072, Australia
| | - Finlay A. Macrae
- Genomic Medicine and Familial Cancer Centre, Royal Melbourne Hospital, Melbourne, VIC 3052, Australia; (F.A.M.); (I.M.W.)
- Colorectal Medicine and Genetics, The Royal Melbourne Hospital, Melbourne, VIC 3052, Australia
- Department of Medicine, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3052, Australia
| | - Ingrid M. Winship
- Genomic Medicine and Familial Cancer Centre, Royal Melbourne Hospital, Melbourne, VIC 3052, Australia; (F.A.M.); (I.M.W.)
- Department of Medicine, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3052, Australia
| | - Daniel D. Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia; (K.M.); (J.C.); (M.C.); (J.E.J.); (P.G.); (S.J.); (S.G.P.); (B.J.P.); (D.D.B.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC 3000, Australia;
- Genomic Medicine and Familial Cancer Centre, Royal Melbourne Hospital, Melbourne, VIC 3052, Australia; (F.A.M.); (I.M.W.)
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10
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Devall MA, Eaton S, Hu G, Sun X, Jakum E, Venkatesh S, Powell SM, Yoshida C, Weisenberger DJ, Cooper GS, Willis J, Ebrahim S, Zoellner J, Casey G, Li L. Potential role of fructose on human colon DNA methylation in racial disparities observed for colorectal cancer risk. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.31.23290777. [PMID: 37398462 PMCID: PMC10312841 DOI: 10.1101/2023.05.31.23290777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Background and aims An increasing body of observational studies has linked fructose intake to colorectal cancer (CRC). African Americans (AAs) are significantly more likely than European Americans to consume greater quantities of fructose and to develop right-side colon cancer. Yet, a mechanistic link between these two associations remains poorly defined. We aimed to identify differentially methylated regions (DMRs) associated with dietary fructose consumption measures obtained from food frequency questionnaires in a cohort of normal colon biopsies derived from AA men and women (n=79). Methods DNA methylation data from this study was obtained using the Illumina Infinium MethylationEPIC kit and is housed under accession GSE151732. DMR analysis was carried out using DMRcate in right and matched left colon, separately. Secondary analysis of CRC tumors was carried out using data derived from TCGA-COAD, GSE101764 and GSE193535. Differential expression analysis was carried out on CRC tumors from TCGA-COAD using DESeq2 . Results We identified 4,263 right-side fructose-DMRs. In contrast, only 24 DMRs survived multiple testing corrections (FDR<0.05) in matched, left colon. To identify targets by which dietary fructose drives CRC risk, we overlaid these findings with data from three CRC tumor datasets. Remarkably, almost 50% of right-side fructose-DMRs overlapped regions associated with CRC in at least one of three datasets. TNXB and CDX2 ranked among the most significant fructose risk DMRs in right and left colon respectively that also displayed altered gene expression in CRC tumors. Conclusions Our mechanistic data support the notion that fructose has a greater CRC-related effect in right than left AA colon, alluding to a potential role for fructose in contributing to racial disparities in CRC.
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11
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Ugai T, Akimoto N, Haruki K, Harrison TA, Cao Y, Qu C, Chan AT, Campbell PT, Berndt SI, Buchanan DD, Cross AJ, Diergaarde B, Gallinger SJ, Gunter MJ, Harlid S, Hidaka A, Hoffmeister M, Brenner H, Chang-Claude J, Hsu L, Jenkins MA, Lin Y, Milne RL, Moreno V, Newcomb PA, Nishihara R, Obon-Santacana M, Pai RK, Sakoda LC, Schoen RE, Slattery ML, Sun W, Amitay EL, Alwers E, Thibodeau SN, Toland AE, Van Guelpen B, Zaidi SH, Potter JD, Meyerhardt JA, Giannakis M, Song M, Nowak JA, Peters U, Phipps AI, Ogino S. Prognostic role of detailed colorectal location and tumor molecular features: analyses of 13,101 colorectal cancer patients including 2994 early-onset cases. J Gastroenterol 2023; 58:229-245. [PMID: 36648535 PMCID: PMC10203916 DOI: 10.1007/s00535-023-01955-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/01/2023] [Indexed: 01/18/2023]
Abstract
BACKGROUND The pathogenic effect of colorectal tumor molecular features may be influenced by several factors, including those related to microbiota, inflammation, metabolism, and epigenetics, which may change along colorectal segments. We hypothesized that the prognostic association of colon cancer location might differ by tumor molecular characteristics. METHODS Utilizing a consortium dataset of 13,101 colorectal cancer cases, including 2994 early-onset cases, we conducted survival analyses of detailed tumor location stratified by statuses of microsatellite instability (MSI), CpG island methylator phenotype (CIMP), and KRAS and BRAF oncogenic mutation. RESULTS There was a statistically significant trend for better colon cancer-specific survival in relation to tumor location from the cecum to sigmoid colon (Ptrend = 0.002), excluding the rectum. The prognostic association of colon location differed by MSI status (Pinteraction = 0.001). Non-MSI-high tumors exhibited the cecum-to-sigmoid trend for better colon cancer-specific survival [Ptrend < 0.001; multivariable hazard ratio (HR) for the sigmoid colon (vs. cecum), 0.80; 95% confidence interval (CI) 0.70-0.92], whereas MSI-high tumors demonstrated a suggestive cecum-to-sigmoid trend for worse survival (Ptrend = 0.020; the corresponding HR, 2.13; 95% CI 1.15-3.92). The prognostic association of colon tumor location also differed by CIMP status (Pinteraction = 0.003) but not significantly by age, stage, or other features. Furthermore, MSI-high status was a favorable prognostic indicator in all stages. CONCLUSIONS Both detailed colonic location and tumor molecular features need to be accounted for colon cancer prognostication to advance precision medicine. Our study indicates the important role of large-scale studies to robustly examine detailed colonic subsites in molecular oncology research.
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Affiliation(s)
- Tomotaka Ugai
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Ave., EBRC Room 404, Boston, MA, 02215, USA.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Naohiko Akimoto
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Ave., EBRC Room 404, Boston, MA, 02215, USA
| | - Koichiro Haruki
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Ave., EBRC Room 404, Boston, MA, 02215, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Yin Cao
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO, USA
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Alvin J. Siteman Cancer Center, St Louis, MO, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, Australia
- Victorian Comprehensive Cancer Centre, University of Melbourne Centre for Cancer Research, Parkville, VIC, Australia
- Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Amanda J Cross
- Department of Epidemiology and Biostatistics, Imperial College London, Norfolk Place, London, UK
| | - Brenda Diergaarde
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, and UPMC Hillman Cancer Center, Pittsburgh, PA, USA
| | - Steven J Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Akihisa Hidaka
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (Deutschen Konsortium für Translationale Krebsforschung), German Cancer Research Center (Deutsches Krebsforschungszentrum), Heidelberg, Germany
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Victor Moreno
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029, Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Reiko Nishihara
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Ave., EBRC Room 404, Boston, MA, 02215, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mireia Obon-Santacana
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029, Madrid, Spain
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Wei Sun
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Efrat L Amitay
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Elizabeth Alwers
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stephen N Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Amanda E Toland
- Departments of Cancer Biology and Genetics and Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Syed H Zaidi
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | | | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jonathan A Nowak
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Ave., EBRC Room 404, Boston, MA, 02215, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Shuji Ogino
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Ave., EBRC Room 404, Boston, MA, 02215, USA.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Cancer Immunology and Cancer Epidemiology Programs, Dana-Farber Harvard Cancer Center, Boston, MA, USA.
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12
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Murphy N, Newton CC, Song M, Papadimitriou N, Hoffmeister M, Phipps AI, Harrison TA, Newcomb PA, Aglago EK, Berndt SI, Brenner H, Buchanan DD, Cao Y, Chan AT, Chen X, Cheng I, Chang-Claude J, Dimou N, Drew D, Farris AB, French AJ, Gallinger S, Georgeson P, Giannakis M, Giles GG, Gruber SB, Harlid S, Hsu L, Huang WY, Jenkins MA, Laskar RS, Le Marchand L, Limburg P, Lin Y, Mandic M, Nowak JA, Obón-Santacana M, Ogino S, Qu C, Sakoda LC, Schoen RE, Southey MC, Stadler ZK, Steinfelder RS, Sun W, Thibodeau SN, Toland AE, Trinh QM, Tsilidis KK, Ugai T, Van Guelpen B, Wang X, Woods MO, Zaidi SH, Gunter MJ, Peters U, Campbell PT. Body mass index and molecular subtypes of colorectal cancer. J Natl Cancer Inst 2023; 115:165-173. [PMID: 36445035 PMCID: PMC9905970 DOI: 10.1093/jnci/djac215] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 09/21/2022] [Accepted: 10/13/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Obesity is an established risk factor for colorectal cancer (CRC), but the evidence for the association is inconsistent across molecular subtypes of the disease. METHODS We pooled data on body mass index (BMI), tumor microsatellite instability status, CpG island methylator phenotype status, BRAF and KRAS mutations, and Jass classification types for 11 872 CRC cases and 11 013 controls from 11 observational studies. We used multinomial logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) adjusted for covariables. RESULTS Higher BMI was associated with increased CRC risk (OR per 5 kg/m2 = 1.18, 95% CI = 1.15 to 1.22). The positive association was stronger for men than women but similar across tumor subtypes defined by individual molecular markers. In analyses by Jass type, higher BMI was associated with elevated CRC risk for types 1-4 cases but not for type 5 CRC cases (considered familial-like/Lynch syndrome microsatellite instability-H, CpG island methylator phenotype-low or negative, BRAF-wild type, KRAS-wild type, OR = 1.04, 95% CI = 0.90 to 1.20). This pattern of associations for BMI and Jass types was consistent by sex and design of contributing studies (cohort or case-control). CONCLUSIONS In contrast to previous reports with fewer study participants, we found limited evidence of heterogeneity for the association between BMI and CRC risk according to molecular subtype, suggesting that obesity influences nearly all major pathways involved in colorectal carcinogenesis. The null association observed for the Jass type 5 suggests that BMI is not a risk factor for the development of CRC for individuals with Lynch syndrome.
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Affiliation(s)
- Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Christina C Newton
- Population Science Department, American Cancer Society (ACS), Atlanta, GA, USA
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Nikos Papadimitriou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Elom K Aglago
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, UK
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne, VIC, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Yin Cao
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO, USA
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
- Alvin J. Siteman Cancer Center, St Louis, MO, USA
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Xuechen Chen
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - David Drew
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Alton B Farris
- Department of Pathology, Emory University, Atlanta, GA, USA
| | - Amy J French
- Division of Laboratory Genetics, Department of Pathology and Laboratory Medicine, Mayo Clinic, Rochester, MN, USA
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada
| | - Peter Georgeson
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne, VIC, Australia
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Stephen B Gruber
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Ruhina S Laskar
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Loic Le Marchand
- University of Hawaii Cancer Center, Epidemiology Program, Honolulu, HI, USA
| | | | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Marko Mandic
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Johnathan A Nowak
- Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Mereia Obón-Santacana
- Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L’Hospitalet del Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Melissa C Southey
- Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Zsofia K Stadler
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Robert S Steinfelder
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Wei Sun
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | | | - Amanda E Toland
- Departments of Cancer Biology and Genetics and Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Quang M Trinh
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Kostas K Tsilidis
- Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Tomotaka Ugai
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Xiaoliang Wang
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, NL, Canada
| | - Syed H Zaidi
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
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13
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Walker R, Georgeson P, Mahmood K, Joo JE, Makalic E, Clendenning M, Como J, Preston S, Joseland S, Pope BJ, Hutchinson RA, Kasem K, Walsh MD, Macrae FA, Win AK, Hopper JL, Mouradov D, Gibbs P, Sieber OM, O'Sullivan DE, Brenner DR, Gallinger S, Jenkins MA, Rosty C, Winship IM, Buchanan DD. Evaluating Multiple Next-Generation Sequencing-Derived Tumor Features to Accurately Predict DNA Mismatch Repair Status. J Mol Diagn 2023; 25:94-109. [PMID: 36396080 PMCID: PMC10424255 DOI: 10.1016/j.jmoldx.2022.10.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 09/27/2022] [Accepted: 10/20/2022] [Indexed: 11/16/2022] Open
Abstract
Identifying tumor DNA mismatch repair deficiency (dMMR) is important for precision medicine. Tumor features, individually and in combination, derived from whole-exome sequenced (WES) colorectal cancers (CRCs) and panel-sequenced CRCs, endometrial cancers (ECs), and sebaceous skin tumors (SSTs) were assessed for their accuracy in detecting dMMR. CRCs (n = 300) with WES, where mismatch repair status was determined by immunohistochemistry, were assessed for microsatellite instability (MSMuTect, MANTIS, MSIseq, and MSISensor), Catalogue of Somatic Mutations in Cancer tumor mutational signatures, and somatic mutation counts. A 10-fold cross-validation approach (100 repeats) evaluated the dMMR prediction accuracy for i) individual features, ii) Lasso statistical model, and iii) an additive feature combination approach. Panel-sequenced tumors (29 CRCs, 22 ECs, and 20 SSTs) were assessed for the top performing dMMR predicting features/models using these three approaches. For WES CRCs, 10 features provided >80% dMMR prediction accuracy, with MSMuTect, MSIseq, and MANTIS achieving ≥99% accuracy. The Lasso model achieved 98.3% accuracy. The additive feature approach, with three or more of six of MSMuTect, MANTIS, MSIseq, MSISensor, insertion-deletion count, or tumor mutational signature small insertion/deletion 2 + small insertion/deletion 7 achieved 99.7% accuracy. For the panel-sequenced tumors, the additive feature combination approach of three or more of six achieved accuracies of 100%, 95.5%, and 100% for CRCs, ECs, and SSTs, respectively. The microsatellite instability calling tools performed well in WES CRCs; however, an approach combining tumor features may improve dMMR prediction in both WES and panel-sequenced data across tissue types.
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Affiliation(s)
- Romy Walker
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Peter Georgeson
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Khalid Mahmood
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; Melbourne Bioinformatics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Jihoon E Joo
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Enes Makalic
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia
| | - Mark Clendenning
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Julia Como
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Susan Preston
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Sharelle Joseland
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Bernard J Pope
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; Melbourne Bioinformatics, The University of Melbourne, Melbourne, Victoria, Australia
| | - Ryan A Hutchinson
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Kais Kasem
- Department of Clinical Pathology, Medicine Dentistry and Health Sciences, The University of Melbourne, Parkville, Victoria, Australia
| | - Michael D Walsh
- Sullivan Nicolaides Pathology, Bowen Hills, Queensland, Australia
| | - Finlay A Macrae
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Melbourne, Victoria, Australia; Colorectal Medicine and Genetics, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Aung K Win
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia
| | - Dmitri Mouradov
- Personalized Oncology Division, The Walter and Eliza Hall Institute of Medial Research, Parkville, Victoria, Australia; Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia
| | - Peter Gibbs
- Personalized Oncology Division, The Walter and Eliza Hall Institute of Medial Research, Parkville, Victoria, Australia; Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia; Department of Medical Oncology, Western Health, Melbourne, Victoria, Australia
| | - Oliver M Sieber
- Personalized Oncology Division, The Walter and Eliza Hall Institute of Medial Research, Parkville, Victoria, Australia; Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia; Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia; Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria, Australia
| | - Dylan E O'Sullivan
- Department of Oncology, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Darren R Brenner
- Department of Oncology, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada
| | - Steven Gallinger
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada; Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Mark A Jenkins
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia
| | - Christophe Rosty
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; Envoi Specialist Pathologists, Brisbane, Queensland, Australia; University of Queensland, Brisbane, Queensland, Australia
| | - Ingrid M Winship
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Melbourne, Victoria, Australia; Department of Medicine, The University of Melbourne, Parkville, Victoria, Australia
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Melbourne, Victoria, Australia.
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14
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Yu H, Wang X, Bai L, Tang G, Carter KT, Cui J, Huang P, Liang L, Ding Y, Cai M, Huang M, Liu H, Cao G, Gallinger S, Pai RK, Buchanan DD, Win AK, Newcomb PA, Wang J, Grady WM, Luo Y. DNA methylation profile in CpG-depleted regions uncovers a high-risk subtype of early-stage colorectal cancer. J Natl Cancer Inst 2023; 115:52-61. [PMID: 36171645 PMCID: PMC10089593 DOI: 10.1093/jnci/djac183] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 07/27/2022] [Accepted: 08/23/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND The current risk stratification system defined by clinicopathological features does not identify the risk of recurrence in early-stage (stage I-II) colorectal cancer (CRC) with sufficient accuracy. We aimed to investigate whether DNA methylation could serve as a novel biomarker for predicting prognosis in early-stage CRC patients. METHODS We analyzed the genome-wide methylation status of CpG loci using Infinium MethylationEPIC array run on primary tumor tissues and normal mucosa of early-stage CRC patients to identify potential methylation markers for prognosis. The machine-learning approach was applied to construct a DNA methylation-based prognostic classifier for early-stage CRC (MePEC) using the 4 gene methylation markers FAT3, KAZN, TLE4, and DUSP3. The prognostic value of the classifier was evaluated in 2 independent cohorts (n = 438 and 359, respectively). RESULTS The comprehensive analysis identified an epigenetic subtype with high risk of recurrence based on a group of CpG loci in the CpG-depleted region. In multivariable analysis, the MePEC classifier was independently and statistically significantly associated with time to recurrence in validation cohort 1 (hazard ratio = 2.35, 95% confidence interval = 1.47 to 3.76, P < .001) and cohort 2 (hazard ratio = 3.20, 95% confidence interval = 1.92 to 5.33, P < .001). All results were further confirmed after each cohort was stratified by clinicopathological variables and molecular subtypes. CONCLUSIONS We demonstrated the prognostic statistical significance of a DNA methylation profile in the CpG-depleted region, which may serve as a valuable source for tumor biomarkers. MePEC could identify an epigenetic subtype with high risk of recurrence and improve the prognostic accuracy of current clinical variables in early-stage CRC.
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Affiliation(s)
- Huichuan Yu
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
| | - Xiaolin Wang
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
| | - Liangliang Bai
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
| | - Guannan Tang
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
| | - Kelly T Carter
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA
| | - Ji Cui
- Departments of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Pinzhu Huang
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Li Liang
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Molecular Tumor Pathology, Guangzhou, Guangdong, China
| | - Yanqing Ding
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Molecular Tumor Pathology, Guangzhou, Guangdong, China
| | - Muyan Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Meijin Huang
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
| | - Huanliang Liu
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
| | - Guangwen Cao
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Steven Gallinger
- Wallace McCain Centre for Pancreatic Cancer, Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
- PanCuRx Translational Research Initiative, Ontario Institute for Cancer Research, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada
- Hepatobiliary/Pancreatic Surgical Oncology Program, University Health Network, Toronto, ON, Canada
| | - Rish K Pai
- Department of laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
- Genomic Medicine and Familial Cancer Centre, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Polly A Newcomb
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jianping Wang
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
| | - William M Grady
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA
| | - Yanxin Luo
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
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15
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Pai RK, Banerjee I, Shivji S, Jain S, Hartman D, Buchanan DD, Jenkins MA, Schaeffer DF, Rosty C, Como J, Phipps AI, Newcomb PA, Burnett-Hartman AN, Marchand LL, Samadder NJ, Patel B, Swallow C, Lindor NM, Gallinger SJ, Grant RC, Westerling-Bui T, Conner J, Cyr DP, Kirsch R, Pai RK. Quantitative Pathologic Analysis of Digitized Images of Colorectal Carcinoma Improves Prediction of Recurrence-Free Survival. Gastroenterology 2022; 163:1531-1546.e8. [PMID: 35985511 PMCID: PMC9716432 DOI: 10.1053/j.gastro.2022.08.025] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/02/2022] [Accepted: 08/09/2022] [Indexed: 12/02/2022]
Abstract
BACKGROUND & AIMS To examine whether quantitative pathologic analysis of digitized hematoxylin and eosin slides of colorectal carcinoma (CRC) correlates with clinicopathologic features, molecular alterations, and prognosis. METHODS A quantitative segmentation algorithm (QuantCRC) was applied to 6468 digitized hematoxylin and eosin slides of CRCs. Fifteen parameters were recorded from each image and tested for associations with clinicopathologic features and molecular alterations. A prognostic model was developed to predict recurrence-free survival using data from the internal cohort (n = 1928) and validated on an internal test (n = 483) and external cohort (n = 938). RESULTS There were significant differences in QuantCRC according to stage, histologic subtype, grade, venous/lymphatic/perineural invasion, tumor budding, CD8 immunohistochemistry, mismatch repair status, KRAS mutation, BRAF mutation, and CpG methylation. A prognostic model incorporating stage, mismatch repair, and QuantCRC resulted in a Harrell's concordance (c)-index of 0.714 (95% confidence interval [CI], 0.702-0.724) in the internal test and 0.744 (95% CI, 0.741-0.754) in the external cohort. Removing QuantCRC from the model reduced the c-index to 0.679 (95% CI, 0.673-0.694) in the external cohort. Prognostic risk groups were identified, which provided a hazard ratio of 2.24 (95% CI, 1.33-3.87, P = .004) for low vs high-risk stage III CRCs and 2.36 (95% CI, 1.07-5.20, P = .03) for low vs high-risk stage II CRCs, in the external cohort after adjusting for established risk factors. The predicted median 36-month recurrence rate for high-risk stage III CRCs was 32.7% vs 13.4% for low-risk stage III and 15.8% for high-risk stage II vs 5.4% for low-risk stage II CRCs. CONCLUSIONS QuantCRC provides a powerful adjunct to routine pathologic reporting of CRC. A prognostic model using QuantCRC improves prediction of recurrence-free survival.
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Affiliation(s)
- Reetesh K. Pai
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Imon Banerjee
- Department of Radiology and Machine Intelligence in Medicine and Imaging Center (MI-2), Mayo Clinic Arizona, Phoenix, Arizona, USA
| | - Sameer Shivji
- Department of Pathology, Mount Sinai Hospital, Toronto, ON, Canada
| | - Suchit Jain
- Department of Radiology and Machine Intelligence in Medicine and Imaging Center (MI-2), Mayo Clinic Arizona, Phoenix, Arizona, USA
| | - Douglas Hartman
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Daniel D. Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Mark A. Jenkins
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia
| | - David F. Schaeffer
- Department of Pathology and Laboratory Medicine, Vancouver General Hospital, Vancouver, BC, Canada
| | - Christophe Rosty
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, Australia
- Envoi Specialist Pathologists, Brisbane, QLD, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Julia Como
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia
| | - Amanda I. Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Polly A. Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Andrea N. Burnett-Hartman
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Institute for Health Research, Kaiser Permanente Colorado, Denver, Colorado, USA
| | - Loic Le Marchand
- Department of Epidemiology, University of Hawaii, Seattle, Washington, USA
| | - Niloy J. Samadder
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Phoenix, Arizona, USA
| | - Bhavik Patel
- Department of Radiology and Machine Intelligence in Medicine and Imaging Center (MI-2), Mayo Clinic Arizona, Phoenix, Arizona, USA
| | - Carol Swallow
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Department of Surgical Oncology, Princess Margaret Cancer Centre and Mount Sinai Hospital, Toronto, Ontario, Canada
- Division of General Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Noralane M. Lindor
- Department of Health Sciences Research Mayo Clinic, Scottsdale, Arizona, USA
| | - Steven J. Gallinger
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Hepatobiliary/Pancreatic Surgical Oncology Program, University Health Network, Toronto, Ontario, Canada
| | - Robert C. Grant
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Vector Institute, Toronto, Ontario, Canada
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | | | - James Conner
- Department of Pathology, Mount Sinai Hospital, Toronto, ON, Canada
| | - David P. Cyr
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Department of Surgical Oncology, Princess Margaret Cancer Centre and Mount Sinai Hospital, Toronto, Ontario, Canada
- Division of General Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Richard Kirsch
- Department of Pathology, Mount Sinai Hospital, Toronto, ON, Canada
| | - Rish K. Pai
- Department of Pathology and Laboratory Medicine, Mayo Clinic Arizona, Scottsdale, Arizona, USA
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16
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Yin H, Harrison TA, Thomas SS, Sather CL, Koehne AL, Malen RC, Reedy AM, Wurscher MA, Hsu L, Phipps AI, Zaidi SHE, Newcomb PA, Peters U, Huyghe JR. T cell-inflamed gene expression profile is associated with favorable disease-specific survival in non-hypermutated microsatellite-stable colorectal cancer patients. Cancer Med 2022; 12:6583-6593. [PMID: 36341526 PMCID: PMC10067089 DOI: 10.1002/cam4.5429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/26/2022] [Accepted: 10/27/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND The anti-tumor immune response plays a key role in colorectal cancer (CRC) progression and survival. The T cell-inflamed gene expression profile (GEP) is a biomarker predicting response to checkpoint inhibitor immunotherapy across immunogenic cancer types, but the prognostic value in CRC is unknown. We evaluated associations with disease-specific survival, somatic mutations, and examined its differentially expressed genes and pathways among 84 sporadic CRC patients from the Seattle Colon Cancer Family Registry. METHODS Gene expression profiling was performed using Nanostring's nCounter PanCancer IO 360 panel. Somatic mutations were identified by a targeted DNA sequencing panel. RESULTS The T cell-inflamed GEP was positively associated with tumor mutation burden and microsatellite instability high (MSI-H). Higher T cell-inflamed GEP had favorable CRC-specific survival (hazard ratio [HR] per standard deviation unit = 0.50, p = 0.004) regardless of hypermutation or MSI status. Analysis of recurrently mutated genes having at least 10 mutation carriers, suggested that the T cell-inflamed GEP is positively associated with RYR1, and negatively associated with APC. However, these associations were attenuated after adjusting for hypermutation or MSI status. We also found that expression of genes RPL23, EPCAM, AREG and ITGA6, and the Wnt signaling pathway was negatively associated with the T cell-inflamed GEP, which might indicate immune-inhibitory mechanisms. CONCLUSIONS Our results show that the T cell-inflamed GEP is a prognostic biomarker in non-hypermutated microsatellite-stable CRC. This also suggests that patient stratification for immunotherapy within this CRC subgroup should be explored further. Moreover, reported immune-inhibitory gene expression signals may suggest targets for therapeutic combination with immunotherapy.
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Affiliation(s)
- Hang Yin
- Institute for Public Health Genetics, University of Washington, Seattle, Washington, USA
| | - Tabitha A Harrison
- Institute for Public Health Genetics, University of Washington, Seattle, Washington, USA.,Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Sushma S Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Cassie L Sather
- Genomics Resource, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Amanda L Koehne
- Experimental Histopathology, Shared Resource, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Rachel C Malen
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Adriana M Reedy
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Michelle A Wurscher
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.,Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.,Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Syed H E Zaidi
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.,Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.,Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
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17
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Haas CB, Su YR, Petersen P, Wang X, Bien SA, Lin Y, Albanes D, Weinstein SJ, Jenkins MA, Figueiredo JC, Newcomb PA, Casey G, Le Marchand L, Campbell PT, Moreno V, Potter JD, Sakoda LC, Slattery ML, Chan AT, Li L, Giles GG, Milne RL, Gruber SB, Rennert G, Woods MO, Gallinger SJ, Berndt S, Hayes RB, Huang WY, Wolk A, White E, Nan H, Nassir R, Lindor NM, Lewinger JP, Kim AE, Conti D, Gauderman WJ, Buchanan DD, Peters U, Hsu L. Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk. Sci Rep 2022; 12:18852. [PMID: 36344807 PMCID: PMC9640550 DOI: 10.1038/s41598-022-23451-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 10/31/2022] [Indexed: 11/09/2022] Open
Abstract
Observational studies have shown higher folate consumption to be associated with lower risk of colorectal cancer (CRC). Understanding whether and how genetic risk factors interact with folate could further elucidate the underlying mechanism. Aggregating functionally relevant genetic variants in set-based variant testing has higher power to detect gene-environment (G × E) interactions and may provide information on the underlying biological pathway. We investigated interactions between folate consumption and predicted gene expression on colorectal cancer risk across the genome. We used variant weights from the PrediXcan models of colon tissue-specific gene expression as a priori variant information for a set-based G × E approach. We harmonized total folate intake (mcg/day) based on dietary intake and supplemental use across cohort and case-control studies and calculated sex and study specific quantiles. Analyses were performed using a mixed effects score tests for interactions between folate and genetically predicted expression of 4839 genes with available genetically predicted expression. We pooled results across 23 studies for a total of 13,498 cases with colorectal tumors and 13,918 controls of European ancestry. We used a false discovery rate of 0.2 to identify genes with suggestive evidence of an interaction. We found suggestive evidence of interaction with folate intake on CRC risk for genes including glutathione S-Transferase Alpha 1 (GSTA1; p = 4.3E-4), Tonsuko Like, DNA Repair Protein (TONSL; p = 4.3E-4), and Aspartylglucosaminidase (AGA: p = 4.5E-4). We identified three genes involved in preventing or repairing DNA damage that may interact with folate consumption to alter CRC risk. Glutathione is an antioxidant, preventing cellular damage and is a downstream metabolite of homocysteine and metabolized by GSTA1. TONSL is part of a complex that functions in the recovery of double strand breaks and AGA plays a role in lysosomal breakdown of glycoprotein.
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Affiliation(s)
- Cameron B. Haas
- grid.34477.330000000122986657Department of Epidemiology, University of Washington, Seattle, WA USA ,grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Yu-Ru Su
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Paneen Petersen
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Xiaoliang Wang
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Stephanie A. Bien
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Yi Lin
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Demetrius Albanes
- grid.48336.3a0000 0004 1936 8075Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD USA
| | - Stephanie J. Weinstein
- grid.48336.3a0000 0004 1936 8075Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD USA
| | - Mark A. Jenkins
- grid.1008.90000 0001 2179 088XCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC Australia
| | - Jane C. Figueiredo
- grid.50956.3f0000 0001 2152 9905Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA USA ,grid.42505.360000 0001 2156 6853Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Polly A. Newcomb
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA USA ,grid.34477.330000000122986657School of Public Health, University of Washington, Seattle, WA USA
| | - Graham Casey
- grid.27755.320000 0000 9136 933XCenter for Public Health Genomics, University of Virginia, Charlottesville, VA USA
| | - Loic Le Marchand
- grid.410445.00000 0001 2188 0957University of Hawaii Cancer Center, Honolulu, HI USA
| | - Peter T. Campbell
- grid.422418.90000 0004 0371 6485Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA USA
| | - Victor Moreno
- grid.418701.b0000 0001 2097 8389Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain ,grid.466571.70000 0004 1756 6246CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain ,grid.5841.80000 0004 1937 0247Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain ,grid.418284.30000 0004 0427 2257ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
| | - John D. Potter
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA USA ,grid.148374.d0000 0001 0696 9806Center for Public Health Research, Massey University, Wellington, New Zealand
| | - Lori C. Sakoda
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA USA ,grid.280062.e0000 0000 9957 7758Division of Research, Kaiser Permanente Northern California, Oakland, CA USA
| | - Martha L. Slattery
- grid.223827.e0000 0001 2193 0096Department of Internal Medicine, University of Utah, Salt Lake City, UT USA
| | - Andrew T. Chan
- grid.38142.3c000000041936754XDivision of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of Harvard and MIT, Cambridge, MA USA
| | - Li Li
- grid.27755.320000 0000 9136 933XDepartment of Family Medicine, University of Virginia, Charlottesville, VA USA
| | - Graham G. Giles
- grid.1008.90000 0001 2179 088XCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC Australia ,grid.3263.40000 0001 1482 3639Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC Australia ,grid.1002.30000 0004 1936 7857Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC Australia
| | - Roger L. Milne
- grid.1008.90000 0001 2179 088XCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC Australia ,grid.3263.40000 0001 1482 3639Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC Australia ,grid.1002.30000 0004 1936 7857Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC Australia
| | - Stephen B. Gruber
- grid.42505.360000 0001 2156 6853Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Gad Rennert
- grid.413469.dDepartment of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel ,grid.6451.60000000121102151Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel ,grid.413469.dClalit National Cancer Control Center, Haifa, Israel
| | - Michael O. Woods
- grid.25055.370000 0000 9130 6822Memorial University of Newfoundland, Discipline of Genetics, St. John’s, Canada
| | - Steven J. Gallinger
- grid.17063.330000 0001 2157 2938Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON Canada
| | - Sonja Berndt
- grid.48336.3a0000 0004 1936 8075Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD USA
| | - Richard B. Hayes
- grid.137628.90000 0004 1936 8753Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY USA
| | - Wen-Yi Huang
- grid.48336.3a0000 0004 1936 8075Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD USA
| | - Alicja Wolk
- grid.4714.60000 0004 1937 0626Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Emily White
- grid.34477.330000000122986657Department of Epidemiology, University of Washington, Seattle, WA USA ,grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Hongmei Nan
- grid.257413.60000 0001 2287 3919IU Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN USA
| | - Rami Nassir
- Department of Pathology, School of Medicine, Umm Al-Qura’a University, Makkah, Saudi Arabia
| | - Noralane M. Lindor
- grid.417468.80000 0000 8875 6339Department of Health Science Research, Mayo Clinic, Scottsdale, AZ USA
| | - Juan P. Lewinger
- grid.42505.360000 0001 2156 6853Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Andre E. Kim
- grid.42505.360000 0001 2156 6853Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - David Conti
- grid.42505.360000 0001 2156 6853Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - W. James Gauderman
- grid.42505.360000 0001 2156 6853Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Daniel D. Buchanan
- grid.1008.90000 0001 2179 088XColorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC 3010 Australia ,grid.1008.90000 0001 2179 088XUniversity of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC 3010 Australia
| | - Ulrike Peters
- grid.34477.330000000122986657Department of Epidemiology, University of Washington, Seattle, WA USA ,grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA USA
| | - Li Hsu
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA USA ,grid.34477.330000000122986657Department of Biostatistics, University of Washington, Seattle, WA USA
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18
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Georgeson P, Harrison TA, Pope BJ, Zaidi SH, Qu C, Steinfelder RS, Lin Y, Joo JE, Mahmood K, Clendenning M, Walker R, Amitay EL, Berndt SI, Brenner H, Campbell PT, Cao Y, Chan AT, Chang-Claude J, Doheny KF, Drew DA, Figueiredo JC, French AJ, Gallinger S, Giannakis M, Giles GG, Gsur A, Gunter MJ, Hoffmeister M, Hsu L, Huang WY, Limburg P, Manson JE, Moreno V, Nassir R, Nowak JA, Obón-Santacana M, Ogino S, Phipps AI, Potter JD, Schoen RE, Sun W, Toland AE, Trinh QM, Ugai T, Macrae FA, Rosty C, Hudson TJ, Jenkins MA, Thibodeau SN, Winship IM, Peters U, Buchanan DD. Identifying colorectal cancer caused by biallelic MUTYH pathogenic variants using tumor mutational signatures. Nat Commun 2022; 13:3254. [PMID: 35668106 PMCID: PMC9170691 DOI: 10.1038/s41467-022-30916-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 05/24/2022] [Indexed: 01/11/2023] Open
Abstract
Carriers of germline biallelic pathogenic variants in the MUTYH gene have a high risk of colorectal cancer. We test 5649 colorectal cancers to evaluate the discriminatory potential of a tumor mutational signature specific to MUTYH for identifying biallelic carriers and classifying variants of uncertain clinical significance (VUS). Using a tumor and matched germline targeted multi-gene panel approach, our classifier identifies all biallelic MUTYH carriers and all known non-carriers in an independent test set of 3019 colorectal cancers (accuracy = 100% (95% confidence interval 99.87-100%)). All monoallelic MUTYH carriers are classified with the non-MUTYH carriers. The classifier provides evidence for a pathogenic classification for two VUS and a benign classification for five VUS. Somatic hotspot mutations KRAS p.G12C and PIK3CA p.Q546K are associated with colorectal cancers from biallelic MUTYH carriers compared with non-carriers (p = 2 × 10-23 and p = 6 × 10-11, respectively). Here, we demonstrate the potential application of mutational signatures to tumor sequencing workflows to improve the identification of biallelic MUTYH carriers.
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Affiliation(s)
- Peter Georgeson
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, 3010, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3010, Australia
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Bernard J Pope
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, 3010, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3010, Australia
- Melbourne Bioinformatics, The University of Melbourne, Carlton, VIC, Australia
| | - Syed H Zaidi
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Robert S Steinfelder
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jihoon E Joo
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, 3010, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3010, Australia
| | - Khalid Mahmood
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, 3010, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3010, Australia
- Melbourne Bioinformatics, The University of Melbourne, Carlton, VIC, Australia
| | - Mark Clendenning
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, 3010, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3010, Australia
| | - Romy Walker
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, 3010, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3010, Australia
| | - Efrat L Amitay
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center(DKFZ), Heidelberg, Germany
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Yin Cao
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO, USA
- Alvin J. Siteman Cancer Center at Barnes-Jewish Hospital and Washington University School of Medicine, St. Louis, MO, USA
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Kimberly F Doheny
- Center for Inherited Disease Research (CIDR), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David A Drew
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Amy J French
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Steven Gallinger
- Ontario Institute for Cancer Research, Toronto, ON, Canada
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada
| | - Marios Giannakis
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Paul Limburg
- Division of Gastroenterology & Hepatology, Mayo Clinic, Rochester, MN, USA
| | - JoAnn E Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Rami Nassir
- Department of Pathology, College of Medicine, Umm Al-Qura University, Mecca, Saudi Arabia
| | - Jonathan A Nowak
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Mireia Obón-Santacana
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Shuji Ogino
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Immunology Program, Dana-Farber Harvard Cancer Center, Boston, MA, USA
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Wei Sun
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Amanda E Toland
- Departments of Cancer Biology and Genetics and Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Quang M Trinh
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Tomotaka Ugai
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Finlay A Macrae
- Parkville Familial Cancer Centre, Royal Melbourne Hospital, Parkville, VIC, Australia
- Colorectal Medicine and Genetics, Royal Melbourne Hospital, Parkville, VIC, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Christophe Rosty
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, 3010, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3010, Australia
- Envoi Specialist Pathologists, Brisbane, QLD, Australia
- University of Queensland, Brisbane, QLD, Australia
| | | | - Mark A Jenkins
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3010, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Stephen N Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Ingrid M Winship
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Medicine, The University of Melbourne, Parkville, VIC, Australia
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, 3010, Australia.
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3010, Australia.
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, VIC, Australia.
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19
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Alim I, Loke J, Yam S, Templeton AS, Newcomb P, Lindor NM, Pai RK, Jenkins MA, Buchanan DD, Gallinger S, Klugman S, Ostrer H. Cancer Risk C (CR-C), a functional genomics test is a sensitive and rapid test for germline mismatch repair deficiency. Genet Med 2022; 24:1821-1830. [PMID: 35616648 PMCID: PMC10072225 DOI: 10.1016/j.gim.2022.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 04/29/2022] [Accepted: 05/02/2022] [Indexed: 10/18/2022] Open
Abstract
PURPOSE Heritable pathogenic variants in the DNA mismatch repair (MMR) pathway cause Lynch syndrome, a condition that significantly increases risk of colorectal and other cancers. At least half of individuals tested using gene panel sequencing have a variant of uncertain significance or no variant identified leading to no diagnosis. To fill this diagnostic gap, we developed Cancer Risk C (CR-C), a flow variant assay test. METHODS In response to treatment with an alkylating agent, individual assays of the nuclear translocation of MLH1, MSH2, BARD1, PMS2, and BRCA2 proteins and the nuclear phosphorylation of the ATM and ATR proteins distinguished pathogenic/likely pathogenic (P/LP) from benign/likely benign variants in MMR genes. RESULTS A risk classification score based on MLH1, MSH2, and ATR assays was 100% sensitive and 98% specific. Causality of MMR P/LP variants was shown through gene editing and rescue. In individuals with suspected Lynch syndrome but no P/LP, CR-C identified most (73%) as having germline MMR defects. Direct comparison of CR-C on matched blood samples and lymphoblastoid cell lines yielded comparable results (r2 > 0.9). CONCLUSION For identifying germline MMR defects, CR-C provides augmentation to traditional panel sequencing through greater accuracy, shorter turnaround time (48 hours), and performance on blood with minimal sample handling.
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Affiliation(s)
| | - Johnny Loke
- Morgan & Mendel Genomics, Inc, Bronx, NY; Albert Einstein College of Medicine, Bronx, NY
| | - Sarah Yam
- Morgan & Mendel Genomics, Inc, Bronx, NY
| | | | | | | | | | - Mark A Jenkins
- The University of Melbourne, Melbourne, Victoria, Australia
| | | | | | - Susan Klugman
- Albert Einstein College of Medicine, Bronx, NY; Montefiore Medical Center, Bronx, NY
| | - Harry Ostrer
- Morgan & Mendel Genomics, Inc, Bronx, NY; Albert Einstein College of Medicine, Bronx, NY; Montefiore Medical Center, Bronx, NY.
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20
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Gitto S, Magistri P, Marzi L, Mannelli N, De Maria N, Mega A, Vitale G, Valente G, Vizzutti F, Villa E, Marra F, Andreone P, Falcini M, Catellani B, Guerrini GP, Serra V, Di Sandro S, Ballarin R, Piai G, Schepis F, Margotti M, Cursaro C, De Simone P, Petruccelli S, Carrai P, Forte P, Campani C, Zoller H, Di Benedetto F. Predictors of solid extra-hepatic non-skin cancer in liver transplant recipients and analysis of survival: A long-term follow-up study. Ann Hepatol 2022; 27:100683. [PMID: 35151902 DOI: 10.1016/j.aohep.2022.100683] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/02/2022] [Accepted: 02/02/2022] [Indexed: 02/04/2023]
Abstract
INTRODUCTION AND OBJECTIVES De novo malignancies represent an important cause of death for liver transplant recipients. Our aim was to analyze predictors of extra-hepatic non-skin cancer (ESNSC) and the impact of ESNSC on the long-term outcome. PATIENTS We examined data from patients transplanted between 2000 and 2005 and followed-up in five Italian transplant clinics with a retrospective observational cohort study. Cox Regression was performed to identify predictors of ESNSC. A 1:2 cohort sub-study was developed to analyze the impact of ESNSC on 10-year survival. RESULTS We analyzed data from 367 subjects (median follow-up: 15 years). Patients with ESNSC (n = 47) more often developed post-LT diabetes mellitus (DM) (57.4% versus 35,9%, p = 0.004). At multivariate analysis, post-LT DM independently predicted ESNSC (HR 1.929, CI 1.029-3.616, p = 0.040). Recipients with ESNSC showed a lower 10-year survival than matched controls (46,8% versus 68,1%, p = 0.023). CONCLUSIONS Post-LT DM seems to be a relevant risk factor for post-LT ESNSC. ESNSC could have a noteworthy impact on the long-term survival of LT recipients.
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Affiliation(s)
- Stefano Gitto
- Internal Medicine and Liver Unit, Department of Experimental and Clinical Medicine, University Hospital Careggi, University of Florence, Largo Brambilla 3, Florence 50134, Italy.
| | - Paolo Magistri
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation Unit, University of Modena and Reggio Emilia, Modena, Italy
| | - Luca Marzi
- Division of Gastroenterology, Bolzano Regional Hospital, Bolzano, Italy
| | - Nicolò Mannelli
- Internal Medicine and Liver Unit, Department of Experimental and Clinical Medicine, University Hospital Careggi, University of Florence, Largo Brambilla 3, Florence 50134, Italy
| | - Nicola De Maria
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation Unit, University of Modena and Reggio Emilia, Modena, Italy
| | - Andrea Mega
- Division of Gastroenterology, Bolzano Regional Hospital, Bolzano, Italy
| | | | - Giovanna Valente
- Liver Unit for Transplant Management - SATTE, Department of Medical Sciences, AORN Sant'Anna e San Sebastiano, Caserta, Italy
| | - Francesco Vizzutti
- Internal Medicine and Liver Unit, Department of Experimental and Clinical Medicine, University Hospital Careggi, University of Florence, Largo Brambilla 3, Florence 50134, Italy
| | - Erica Villa
- Department of Gastroenterology, Azienda Ospedaliero-Universitaria di Modena and University of Modena and Reggio Emilia, Modena, Italy
| | - Fabio Marra
- Internal Medicine and Liver Unit, Department of Experimental and Clinical Medicine, University Hospital Careggi, University of Florence, Largo Brambilla 3, Florence 50134, Italy
| | - Pietro Andreone
- Department of Medical and Surgical Sciences, Sant'Orsola-Malpighi Hospital, University of Bologna, Italy; Internal and Metabolic Medicine, AOU di Modena and University of Modena and Reggio Emilia, Italy
| | - Margherita Falcini
- Internal Medicine and Liver Unit, Department of Experimental and Clinical Medicine, University Hospital Careggi, University of Florence, Largo Brambilla 3, Florence 50134, Italy
| | - Barbara Catellani
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation Unit, University of Modena and Reggio Emilia, Modena, Italy
| | - Gian Piero Guerrini
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation Unit, University of Modena and Reggio Emilia, Modena, Italy
| | - Valentina Serra
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation Unit, University of Modena and Reggio Emilia, Modena, Italy
| | - Stefano Di Sandro
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation Unit, University of Modena and Reggio Emilia, Modena, Italy
| | - Roberto Ballarin
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation Unit, University of Modena and Reggio Emilia, Modena, Italy
| | - Guido Piai
- Liver Unit for Transplant Management - SATTE, Department of Medical Sciences, AORN Sant'Anna e San Sebastiano, Caserta, Italy
| | - Filippo Schepis
- Department of Gastroenterology, Azienda Ospedaliero-Universitaria di Modena and University of Modena and Reggio Emilia, Modena, Italy
| | - Marzia Margotti
- Internal and Metabolic Medicine, AOU di Modena and University of Modena and Reggio Emilia, Italy
| | - Carmela Cursaro
- Internal and Metabolic Medicine, AOU di Modena and University of Modena and Reggio Emilia, Italy
| | - Paolo De Simone
- Hepatobiliary Surgery and Liver Transplantation, University of Pisa Medical School Hospital, Pisa, Italy
| | - Stefania Petruccelli
- Hepatobiliary Surgery and Liver Transplantation, University of Pisa Medical School Hospital, Pisa, Italy
| | - Paola Carrai
- Hepatobiliary Surgery and Liver Transplantation, University of Pisa Medical School Hospital, Pisa, Italy
| | - Paolo Forte
- Gastroenterology Unit, University Hospital Careggi, Florence, Italy
| | - Claudia Campani
- Gastroenterology Unit, University Hospital Careggi, Florence, Italy
| | - Heinz Zoller
- Department of Medicine I, Medical University of Innsbruck, Austria
| | - Fabrizio Di Benedetto
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation Unit, University of Modena and Reggio Emilia, Modena, Italy
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21
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Huang Y, Hua X, Labadie JD, Harrison TA, Dai JY, Lindstrom S, Lin Y, Berndt SI, Buchanan DD, Campbell PT, Casey G, Gallinger SJ, Gunter MJ, Hoffmeister M, Jenkins MA, Sakoda LC, Schoen RE, Diergaarde B, Slattery ML, White E, Giles G, Brenner H, Chang-Claude J, Joshi A, Ma W, Pai RK, Chan AT, Peters U, Newcomb PA. Genetic variants associated with circulating C-reactive protein levels and colorectal cancer survival: Sex-specific and lifestyle factors specific associations. Int J Cancer 2022; 150:1447-1454. [PMID: 34888857 PMCID: PMC8897240 DOI: 10.1002/ijc.33897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 09/30/2021] [Accepted: 10/29/2021] [Indexed: 11/07/2022]
Abstract
Elevated blood levels of C-reactive protein (CRP) have been linked to colorectal cancer (CRC) survival. We evaluated genetic variants associated with CRP levels and their interactions with sex and lifestyle factors in association with CRC-specific mortality. Our study included 16 142 CRC cases from the International Survival Analysis in Colorectal Cancer Consortium. We identified 618 common single nucleotide polymorphisms (SNPs) associated with CRP levels from the NHGRI-EBI GWAS Catalog. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between SNPs and CRC-specific mortality adjusting for age, sex, genotyping platform/study and principal components. We investigated their interactions with sex and lifestyle factors using likelihood ratio tests. Of 5472 (33.9%) deaths accrued over up to 10 years of follow-up, 3547 (64.8%) were due to CRC. No variants were associated with CRC-specific mortality after multiple comparison correction. We observed strong evidence of interaction between variant rs1933736 at FRK gene and sex in relation to CRC-specific mortality (corrected Pinteraction = .0004); women had higher CRC-specific mortality associated with the minor allele (HR = 1.11, 95% CI = 1.04-1.19) whereas an inverse association was observed for men (HR = 0.88, 95% CI = 0.82-0.94). There was no evidence of interactions between CRP-associated SNPs and alcohol, obesity or smoking. Our study observed a significant interaction between sex and a CRP-associated variant in relation to CRC-specific mortality. Future replication of this association and functional annotation of the variant are needed.
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Affiliation(s)
- Yuhan Huang
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Xinwei Hua
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
- Clinical and Translational Epidemiology Unit and Department of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Julia D. Labadie
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Tabitha A. Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - James Y. Dai
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Sara Lindstrom
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Daniel D. Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, University of Melbourne, Parkville, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
- Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Peter T. Campbell
- Department of Population Science, American Cancer Society, Atlanta, Georgia, USA
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA
| | - Steven J. Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Marc J. Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Mark A. Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Lori C. Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Robert E. Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Brenda Diergaarde
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA
| | - Martha L. Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Graham Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jenny Chang-Claude
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Amit Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Wenjie Ma
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Rish K. Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, Arizona, USA
| | - Andrew T. Chan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Polly A. Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
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22
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Labadie JD, Savas S, Harrison TA, Banbury B, Huang Y, Buchanan DD, Campbell PT, Gallinger SJ, Giles GG, Gunter MJ, Hoffmeister M, Hsu L, Jenkins MA, Lin Y, Ogino S, Phipps AI, Slattery ML, Steinfelder RS, Sun W, Van Guelpen B, Hua X, Figuieredo JC, Pai RK, Nassir R, Qi L, Chan AT, Peters U, Newcomb PA. Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival. Sci Rep 2022; 12:127. [PMID: 34996992 PMCID: PMC8741984 DOI: 10.1038/s41598-021-03945-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 12/06/2021] [Indexed: 12/16/2022] Open
Abstract
Identification of new genetic markers may improve the prediction of colorectal cancer prognosis. Our objective was to examine genome-wide associations of germline genetic variants with disease-specific survival in an analysis of 16,964 cases of colorectal cancer. We analyzed genotype and colorectal cancer-specific survival data from a consortium of 15 studies. Approximately 7.5 million SNPs were examined under the log-additive model using Cox proportional hazards models, adjusting for clinical factors and principal components. Additionally, we ran secondary analyses stratifying by tumor site and disease stage. We used a genome-wide p-value threshold of 5 × 10-8 to assess statistical significance. No variants were statistically significantly associated with disease-specific survival in the full case analysis or in the stage-stratified analyses. Three SNPs were statistically significantly associated with disease-specific survival for cases with tumors located in the distal colon (rs698022, HR = 1.48, CI 1.30-1.69, p = 8.47 × 10-9) and the proximal colon (rs189655236, HR = 2.14, 95% CI 1.65-2.77, p = 9.19 × 10-9 and rs144717887, HR = 2.01, 95% CI 1.57-2.58, p = 3.14 × 10-8), whereas no associations were detected for rectal tumors. Findings from this large genome-wide association study highlight the potential for anatomical-site-stratified genome-wide studies to identify germline genetic risk variants associated with colorectal cancer-specific survival. Larger sample sizes and further replication efforts are needed to more fully interpret these findings.
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Affiliation(s)
- Julia D Labadie
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Sevtap Savas
- Discipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada
- Discipline of Oncology, Faculty of Medicine, Memorial University, St. John's, NL, Canada
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Barb Banbury
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Yuhan Huang
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Daniel D Buchanan
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, VIC, Australia
- Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Peter T Campbell
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Steven J Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Medicine, School of Clinical Sciences at Monash Health, Monash University, VIC, Australia
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research On Cancer, World Health Organization, Lyon, France
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Shuji Ogino
- Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Immunology Program, Dana-Farber Harvard Cancer Center, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Robert S Steinfelder
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Wei Sun
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Xinwei Hua
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Jane C Figuieredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Rami Nassir
- Department of Pathology, School of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Lihong Qi
- Department of Public Health Sciences, University of California Davis, Davis, CA, USA
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
- Department of Epidemiology, University of Washington, Seattle, WA, USA.
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23
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Tonello M, Baratti D, Sammartino P, Di Giorgio A, Robella M, Sassaroli C, Framarini M, Valle M, Macrì A, Graziosi L, Coccolini F, Lippolis PV, Roberta G, Deraco M, Biacchi D, Santullo F, Vaira M, Di Lauro K, D'Acapito F, Carboni F, Giuffrè G, Donini A, Fugazzola P, Faviana P, Lorena S, Scapinello A, Del Bianco P, Sommariva A. Microsatellite and RAS/RAF Mutational Status as Prognostic Factors in Colorectal Peritoneal Metastases Treated with Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy (HIPEC). Ann Surg Oncol 2021; 29:3405-3417. [PMID: 34783946 DOI: 10.1245/s10434-021-11045-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 10/20/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Cytoreductive surgery (CRS) with hyperthermic intraperitoneal chemotherapy (HIPEC) leads to prolonged survival for selected patients with colorectal (CRC) peritoneal metastases (PM). This study aimed to analyze the prognostic role of micro-satellite (MS) status and RAS/RAF mutations for patients treated with CRS. METHODS Data were collected from 13 Italian centers with PM expertise within a collaborative group of the Italian Society of Surgical Oncology. Clinical and pathologic variables and KRAS/NRAS/BRAF mutational and MS status were correlated with overall survival (OS) and disease-free survival (DFS). RESULTS The study enrolled 437 patients treated with CRS-HIPEC. The median OS was 42.3 months [95% confidence interval (CI), 33.4-51.2 months], and the median DFS was 13.6 months (95% CI, 12.3-14.9 months). The local (peritoneal) DFS was 20.5 months (95% CI, 16.4-24.6 months). In addition to the known clinical factors, KRAS mutations (p = 0.005), BRAF mutations (p = 0.01), and MS status (p = 0.04) were related to survival. The KRAS- and BRAF-mutated patients had a shorter survival than the wild-type (WT) patients (5-year OS, 29.4% and 26.8% vs 51.5%, respectively). The patients with micro-satellite instability (MSI) had a longer survival than the patients with micro-satellite stability (MSS) (5-year OS, 58.3% vs 36.7%). The MSI/WT patients had the best prognosis. The MSS/WT and MSI/mutated patients had similar survivals, whereas the MSS/mutated patients showed the worst prognosis (5-year OS, 70.6%, 48.1%, 23.4%; p = 0.0001). In the multivariable analysis, OS was related to the Peritoneal Cancer Index [hazard ratio (HR), 1.05 per point], completeness of cytoreduction (CC) score (HR, 2.8), N status (HR, 1.6), signet-ring (HR, 2.4), MSI/WT (HR, 0.5), and MSS/WT-MSI/mutation (HR, 0.4). Similar results were obtained for DFS. CONCLUSION For patients affected by CRC-PM who are eligible for CRS, clinical and pathologic criteria need to be integrated with molecular features (KRAS/BRAF mutation). Micro-satellite status should be strongly considered because MSI confers a survival advantage over MSS, even for mutated patients.
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Affiliation(s)
- Marco Tonello
- Unit of Surgical Oncology of the Esophagus and Digestive Tract, Surgical Oncology Department, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Dario Baratti
- Peritoneal Surface Malignancy Unit, Department of Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Paolo Sammartino
- Cytoreductive Surgery and HIPEC Unit, Department of Surgery "Pietro Valdoni", Sapienza University of Rome, Rome, Italy
| | - Andrea Di Giorgio
- Surgical Unit of Peritoneum and Retroperitoneum, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Manuela Robella
- Surgical Oncology Unit, Candiolo Cancer Institute, Candiolo, Turin, Italy
| | - Cinzia Sassaroli
- Colorectal Surgical Oncology, Abdominal Oncology Department, Fondazione Giovanni Pascale" IRCCS, Naples, Italy
| | - Massimo Framarini
- General and Oncologic Surgery, Morgagni-Pierantoni Hospital, AUSL Romagna, Forlì, Italy
| | - Mario Valle
- Peritoneal Malignancies Unit, INT "Regina Elena", Rome, Italy
| | - Antonio Macrì
- Peritoneal Surface Malignancy and Soft Tissue Sarcoma Program, University of Messina, Messina, Italy
| | - Luigina Graziosi
- General and Emergency Surgery Department, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
| | - Federico Coccolini
- General Emergency and Trauma Surgery, Bufalini Hospital, Cesena, Italy.,General Emergency and Trauma Surgery, Pisa University Hospital, Pisa, Italy
| | - Piero Vincenzo Lippolis
- General and Peritoneal Surgery, Department of Surgery, Hospital University Pisa (AOUP), Pisa, Italy
| | - Gelmini Roberta
- General and Oncological Surgery Unit, AOU of Modena University of Modena and Reggio Emilia, Modena, Italy
| | - Marcello Deraco
- Peritoneal Surface Malignancy Unit, Department of Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Daniele Biacchi
- Cytoreductive Surgery and HIPEC Unit, Department of Surgery "Pietro Valdoni", Sapienza University of Rome, Rome, Italy
| | - Francesco Santullo
- Surgical Unit of Peritoneum and Retroperitoneum, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Marco Vaira
- Surgical Oncology Unit, Candiolo Cancer Institute, Candiolo, Turin, Italy
| | - Katia Di Lauro
- Department of Advanced Biomedical Sciences, "Federico II" University, Naples, Italy
| | - Fabrizio D'Acapito
- General and Oncologic Surgery, Morgagni-Pierantoni Hospital, AUSL Romagna, Forlì, Italy
| | - Fabio Carboni
- Peritoneal Malignancies Unit, INT "Regina Elena", Rome, Italy
| | - Giuseppe Giuffrè
- Department of Human Pathology in Adult and Developmental Age 'Gaetano Barresi', Section of Pathology, University of Messina, Messina, Italy
| | - Annibale Donini
- General and Emergency Surgery Department, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
| | - Paola Fugazzola
- General Emergency and Trauma Surgery, Bufalini Hospital, Cesena, Italy
| | - Pinuccia Faviana
- Pathological Anatomy III, Laboratory Medicine Department, Hospital University Pisa (AOUP), Pisa, Italy
| | - Sorrentino Lorena
- General and Oncological Surgery Unit, AOU of Modena University of Modena and Reggio Emilia, Modena, Italy
| | | | - Paola Del Bianco
- Clinical Research Unit, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Antonio Sommariva
- Unit of Surgical Oncology of the Esophagus and Digestive Tract, Surgical Oncology Department, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy.
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24
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Jung A, Kay SS, Robinson JL, Sheppard BB, Mayer DK. Large-scale North American cancer survivorship surveys: 2011-2019 update. J Cancer Surviv 2021; 16:1236-1267. [PMID: 34734367 DOI: 10.1007/s11764-021-01111-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 09/07/2021] [Indexed: 11/24/2022]
Abstract
PURPOSE There are gaps in our knowledge to provide quality cancer care to the growing numbers of survivors. Leveraging existing data to answer survivorship research questions is one approach to address these gaps. Therefore, the purpose of this paper is to replicate and expand a previous report of existing cancer survivorship survey data. METHODS We conducted a trifold search strategy for relevant surveys and data sets to (1) determine the extent to which cancer survivors are being surveyed, (2) determine the topics being covered in these surveys, and (3) create a compendium of information about these surveys and data sets, so researchers can conduct additional analyses. RESULTS Thirty-five surveys were identified and included in this report; most were longitudinal studies (71%) in adult cancer survivors (91%). The domains addressed in these surveys were general medical characteristics, medical conditions, costs, employment, symptoms and/or side effects, psychosocial factors and coping, perceived quality of care, and health behaviors. CONCLUSIONS Existing data are available for researchers to explore new knowledge to enhance cancer survivorship quality care. This is an opportunity to fully utilize existing data to answer survivorship questions in a cost effective manner. IMPLICATIONS FOR CANCER SURVIVORS Survivors should be encouraged to participate in research studies as these data can close the gap in our knowledge and care of this growing population.
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Affiliation(s)
- Ahrang Jung
- School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7460, USA
| | | | - Jennifer L Robinson
- Department of Behavioral and Community Health, University of Maryland at College Park, College Park, MD, 20742-2611, USA
| | | | - Deborah K Mayer
- School of Nursing, UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599-7460, USA.
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25
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Georgeson P, Pope BJ, Rosty C, Clendenning M, Mahmood K, Joo JE, Walker R, Hutchinson R, Preston S, Como J, Joseland S, Win AK, Macrae FA, Hopper JL, Mouradov D, Gibbs P, Sieber OM, O’Sullivan DE, Brenner DR, Gallinger S, Jenkins MA, Winship IM, Buchanan DD. Evaluating the utility of tumour mutational signatures for identifying hereditary colorectal cancer and polyposis syndrome carriers. Gut 2021; 70:2138-2149. [PMID: 33414168 PMCID: PMC8260632 DOI: 10.1136/gutjnl-2019-320462] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 12/08/2020] [Accepted: 12/12/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Germline pathogenic variants (PVs) in the DNA mismatch repair (MMR) genes and in the base excision repair gene MUTYH underlie hereditary colorectal cancer (CRC) and polyposis syndromes. We evaluated the robustness and discriminatory potential of tumour mutational signatures in CRCs for identifying germline PV carriers. DESIGN Whole-exome sequencing of formalin-fixed paraffin-embedded (FFPE) CRC tissue was performed on 33 MMR germline PV carriers, 12 biallelic MUTYH germline PV carriers, 25 sporadic MLH1 methylated MMR-deficient CRCs (MMRd controls) and 160 sporadic MMR-proficient CRCs (MMRp controls) and included 498 TCGA CRC tumours. COSMIC V3 single base substitution (SBS) and indel (ID) mutational signatures were assessed for their ability to differentiate CRCs that developed in carriers from non-carriers. RESULTS The combination of mutational signatures SBS18 and SBS36 contributing >30% of a CRC's signature profile was able to discriminate biallelic MUTYH carriers from all other non-carrier control CRCs with 100% accuracy (area under the curve (AUC) 1.0). SBS18 and SBS36 were associated with specific MUTYH variants p.Gly396Asp (p=0.025) and p.Tyr179Cys (p=5×10-5), respectively. The combination of ID2 and ID7 could discriminate the 33 MMR PV carrier CRCs from the MMRp control CRCs (AUC 0.99); however, SBS and ID signatures, alone or in combination, could not provide complete discrimination (AUC 0.79) between CRCs from MMR PV carriers and sporadic MMRd controls. CONCLUSION Assessment of SBS and ID signatures can discriminate CRCs from biallelic MUTYH carriers and MMR PV carriers from non-carriers with high accuracy, demonstrating utility as a potential diagnostic and variant classification tool.
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Affiliation(s)
- Peter Georgeson
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
| | - Bernard J. Pope
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia,Melbourne Bioinformatics, The University of Melbourne, Carlton, Victoria, Australia
| | - Christophe Rosty
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia,Envoi Pathology, Brisbane, Queensland, Australia,University of Queensland, School of Medicine, Herston, Queensland, Australia
| | - Mark Clendenning
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
| | - Khalid Mahmood
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia,Melbourne Bioinformatics, The University of Melbourne, Carlton, Victoria, Australia
| | - Jihoon E. Joo
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
| | - Romy Walker
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
| | - Ryan Hutchinson
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
| | - Susan Preston
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
| | - Julia Como
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
| | - Sharelle Joseland
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
| | - Aung K. Win
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia,Centre for Epidemiology and Biostatistics, The University of Melbourne, Carlton, Victoria, Australia
| | - Finlay A. Macrae
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia,Colorectal Medicine and Genetics, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - John L. Hopper
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Carlton, Victoria, Australia
| | - Dmitry Mouradov
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medial Research, Parkville, Victoria, Australia,Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia
| | - Peter Gibbs
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medial Research, Parkville, Victoria, Australia,Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia,Department of Medical Oncology, Western Health, Victoria, Australia
| | - Oliver M. Sieber
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medial Research, Parkville, Victoria, Australia,Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia,Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia,Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria, Australia
| | - Dylan E. O’Sullivan
- Department of Oncology, University of Calgary, Calgary, Canada,Department of Community Health Sciences, University of Calgary, Calgary, Canada
| | - Darren R. Brenner
- Department of Oncology, University of Calgary, Calgary, Canada,Department of Community Health Sciences, University of Calgary, Calgary, Canada,Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Canada
| | - Steve Gallinger
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada,Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Mark A. Jenkins
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia,Centre for Epidemiology and Biostatistics, The University of Melbourne, Carlton, Victoria, Australia
| | - Ingrid M. Winship
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia,Department of Medicine, The University of Melbourne, Parkville, Victoria, Australia
| | - Daniel D. Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia,Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
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26
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Zou Q, Wang X, Ren D, Hu B, Tang G, Zhang Y, Huang M, Pai RK, Buchanan DD, Win AK, Newcomb PA, Grady WM, Yu H, Luo Y. DNA methylation-based signature of CD8+ tumor-infiltrating lymphocytes enables evaluation of immune response and prognosis in colorectal cancer. J Immunother Cancer 2021; 9:jitc-2021-002671. [PMID: 34548385 PMCID: PMC8458312 DOI: 10.1136/jitc-2021-002671] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/11/2021] [Indexed: 01/12/2023] Open
Abstract
Background Tumor-infiltrating lymphocytes (TILs), especially CD8+ TILs, can be used for predicting immunotherapy responsiveness and survival outcome. However, the evaluation of CD8+ TILs currently relies on histopathological methodology with high variability. We therefore aimed to develop a DNA methylation signature for CD8+ TILs (CD8+ MeTIL) that could evaluate immune response and prognosis in colorectal cancer (CRC). Methods A CD8+ MeTIL signature score was constructed by using CD8+ T cell-specific differentially methylated positions (DMPs) that were identified from Illumina EPIC methylation arrays. Immune cells, colon epithelial cells, and two CRC cohorts (n=282 and 335) were used to develop a PCR-based assay for quantitative analysis of DNA methylation at single-base resolution (QASM) to determine CD8 + MeTIL signature score. Results Three CD8+ T cell-specific DMPs were identified to construct the CD8+ MeTIL signature score, which showed a dramatic discriminability between CD8+ T cells and other cells. The QASM assay we developed for CD8+ MeTIL markers could measure CD8+ TILs distributions in a fully quantitative, accurate, and simple manner. The CD8+ MeTIL score determined by QASM assay showed a strong association with histopathology-based CD8+ TIL counts and a gene expression-based immune marker. Furthermore, the low CD8+ MeTIL score (enriched CD8+ TILs) was associated with MSI-H tumors and predicted better survival in CRC cohorts. Conclusions This study developed a quantitative DNA methylation-based signature that was reliable to evaluate CD8+ TILs and prognosis in CRC. This approach has the potential to be a tool for investigations on CD8+ TILs and a biomarker for therapeutic approaches, including immunotherapy.
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Affiliation(s)
- Qi Zou
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Department of Colorectal and Anal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiaolin Wang
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Donglin Ren
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Department of Colorectal and Anal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Bang Hu
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Department of Colorectal and Anal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Guannan Tang
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yu Zhang
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Meijin Huang
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Rish K Pai
- Department of laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, Arizona, USA
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia.,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia.,Genomic Medicine and Familial Cancer Centre, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Polly A Newcomb
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA.,Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - William M Grady
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.,Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - Huichuan Yu
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yanxin Luo
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China .,Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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27
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Paul B, Kysenius K, Hilton JB, Jones MWM, Hutchinson RW, Buchanan DD, Rosty C, Fryer F, Bush AI, Hergt JM, Woodhead JD, Bishop DP, Doble PA, Hill MM, Crouch PJ, Hare DJ. An integrated mass spectrometry imaging and digital pathology workflow for objective detection of colorectal tumours by unique atomic signatures. Chem Sci 2021; 12:10321-10333. [PMID: 34476052 PMCID: PMC8386113 DOI: 10.1039/d1sc02237g] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 06/29/2021] [Indexed: 12/21/2022] Open
Abstract
Tumours are abnormal growths of cells that reproduce by redirecting essential nutrients and resources from surrounding tissue. Changes to cell metabolism that trigger the growth of tumours are reflected in subtle differences between the chemical composition of healthy and malignant cells. We used LA-ICP-MS imaging to investigate whether these chemical differences can be used to spatially identify tumours and support detection of primary colorectal tumours in anatomical pathology. First, we generated quantitative LA-ICP-MS images of three colorectal surgical resections with case-matched normal intestinal wall tissue and used this data in a Monte Carlo optimisation experiment to develop an algorithm that can classify pixels as tumour positive or negative. Blinded testing and interrogation of LA-ICP-MS images with micrographs of haematoxylin and eosin stained and Ki67 immunolabelled sections revealed Monte Carlo optimisation accurately identified primary tumour cells, as well as returning false positive pixels in areas of high cell proliferation. We analysed an additional 11 surgical resections of primary colorectal tumours and re-developed our image processing method to include a random forest regression machine learning model to correctly identify heterogenous tumours and exclude false positive pixels in images of non-malignant tissue. Our final model used over 1.6 billion calculations to correctly discern healthy cells from various types and stages of invasive colorectal tumours. The imaging mass spectrometry and data analysis methods described, developed in partnership with clinical cancer researchers, have the potential to further support cancer detection as part of a comprehensive digital pathology approach to cancer care through validation of a new chemical biomarker of tumour cells.
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Affiliation(s)
- Bence Paul
- School of Geography, Earth and Atmospheric Sciences, The University of Melbourne Parkville Victoria 3010 Australia
| | - Kai Kysenius
- Department of Biochemistry and Pharmacology, School of Biomedical Sciences, The University of Melbourne Parkville Victoria 3010 Australia
| | - James B Hilton
- Department of Biochemistry and Pharmacology, School of Biomedical Sciences, The University of Melbourne Parkville Victoria 3010 Australia
| | - Michael W M Jones
- Central Analytical Research Facility, Queensland University of Technology Brisbane Queensland 4000 Australia
| | | | - Daniel D Buchanan
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne Parkville Victoria 3010 Australia
- University of Melbourne Centre for Cancer Research, The University of Melbourne Parkville Victoria 3010 Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital Melbourne Victoria 3000 Australia
| | - Christophe Rosty
- Envoi Pathology Brisbane Queensland 4000 Australia
- Faculty of Medicine, The University of Queensland Brisbane Queensland 4000 Australia
- Department of Clinical Pathology, The University of Melbourne Parkville Victoria 3010 Australia
| | - Fred Fryer
- Agilent Technologies Australia Mulgrave Victoria 3170 Australia
| | - Ashley I Bush
- Melbourne Dementia Research Centre at the Florey Institute of Neuroscience and Mental Health, The University of Melbourne Parkville Victoria 3010 Australia
| | - Janet M Hergt
- School of Geography, Earth and Atmospheric Sciences, The University of Melbourne Parkville Victoria 3010 Australia
| | - Jon D Woodhead
- School of Geography, Earth and Atmospheric Sciences, The University of Melbourne Parkville Victoria 3010 Australia
| | - David P Bishop
- Atomic Medicine Initiative, University of Technology Sydney Broadway NSW 2007 Australia
| | - Philip A Doble
- Atomic Medicine Initiative, University of Technology Sydney Broadway NSW 2007 Australia
| | - Michelle M Hill
- Centre for Clinical Research, Faculty of Medicine, The University of Queensland Herston Qld 4006 Australia
- QIMR Berghofer Medical Research Institute Herston Queensland 4006 Australia
| | - Peter J Crouch
- Department of Biochemistry and Pharmacology, School of Biomedical Sciences, The University of Melbourne Parkville Victoria 3010 Australia
| | - Dominic J Hare
- Melbourne Dementia Research Centre at the Florey Institute of Neuroscience and Mental Health, The University of Melbourne Parkville Victoria 3010 Australia
- Atomic Medicine Initiative, University of Technology Sydney Broadway NSW 2007 Australia
- School of BioSciences, The University of Melbourne Parkville Victoria 3010 Australia
- Monash eResearch Centre, Monash University Clayton Victoria 3800 Australia
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28
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Newcomb PA, Ton M, Malen RC, Heffner JL, Labadie J, Phipps AI, Burnett-Hartman AN. Cannabis use is associated with patient and clinical factors in a population-based sample of colorectal cancer survivors. Cancer Causes Control 2021; 32:1321-1327. [PMID: 34263391 DOI: 10.1007/s10552-021-01468-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 06/20/2021] [Indexed: 01/24/2023]
Abstract
PURPOSE This study aimed to characterize patient and clinical factors associated with cannabis (marijuana) use among patients diagnosed with colorectal cancer (CRC). METHODS We identified CRC patients, diagnosed from 2016 to 2018, using the Seattle-Puget Sound Surveillance, Epidemiology, and End Results (SEER) cancer registry. CRC patients were recruited via mail and telephone, and participants completed a questionnaire eliciting information on medical history, demographics, and lifestyle factors, including cannabis use. Cancer stage was obtained from SEER registry data. RESULTS Of 1,433 survey respondents, 339 (24%) were current cannabis users. Current cannabis use was associated with younger age at diagnosis, lower BMI, and a higher prevalence of cigarette smoking and alcohol consumption (p-value < 0.05). Cannabis use was also associated with lower quality of life scores (FACT-C) and advanced-stage cancer (p-value < 0.05). CONCLUSION Cannabis use among CRC patients was common. Patients with more advanced disease were more likely to report cannabis use. Use also varied by some personal factors, consistent with patterns in the general population. Given the high prevalence of cannabis use among CRC patients, research is needed to determine the benefits and harms of cannabis use for symptom management in cancer patients.
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Affiliation(s)
- P A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N, Seattle, WA, 98109, USA. .,Department of Epidemiology, University of Washington, Seattle, WA, USA.
| | - M Ton
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N, Seattle, WA, 98109, USA.,Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - R C Malen
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N, Seattle, WA, 98109, USA
| | - J L Heffner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N, Seattle, WA, 98109, USA
| | - J Labadie
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N, Seattle, WA, 98109, USA
| | - A I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N, Seattle, WA, 98109, USA.,Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - A N Burnett-Hartman
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N, Seattle, WA, 98109, USA.,Institute for Health Research, Kaiser Permanente Colorado, Denver, CO, USA
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29
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Meessen S, Currey N, Jahan Z, Parker HW, Jenkins MA, Buchanan DD, Hopper JL, Segelov E, Dahlstrom JE, Kohonen-Corish MRJ. Tetranucleotide and Low Microsatellite Instability Are Inversely Associated with the CpG Island Methylator Phenotype in Colorectal Cancer. Cancers (Basel) 2021; 13:cancers13143529. [PMID: 34298744 PMCID: PMC8308094 DOI: 10.3390/cancers13143529] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 07/08/2021] [Accepted: 07/08/2021] [Indexed: 01/19/2023] Open
Abstract
Simple Summary A type of DNA mismatch repair defect known as “elevated microsatellite alterations at selected tetranucleotide repeats” (EMAST) is found across many different cancers. Tetranucleotide microsatellite instability, which is caused by MSH3 mismatch repair gene/protein loss-of-function, shares a molecular basis with “low microsatellite instability” (MSI-L) in colorectal cancer. Tetranucleotide microsatellite instability is also a byproduct of “high microsatellite instability” (MSI-H) that arises from deficiency of mismatch repair due to MSH2, MSH6, MLH1 or PMS2 gene alterations. MSH3-related EMAST is emerging as a biomarker of poor prognosis in colorectal cancer and needs to be clearly differentiated from MSI-H. Here, we show that tumours with non-MSI-H-related EMAST or MSI-L rarely show concordant promoter methylation of multiple marker genes. Colorectal tumours that are positive for a single (1/5) tetranucleotide repeat marker are an important subset of the EMAST spectrum. Abstract MSH3 gene or protein deficiency or loss-of-function in colorectal cancer can cause a DNA mismatch repair defect known as “elevated microsatellite alterations at selected tetranucleotide repeats” (EMAST). A high percentage of MSI-H tumors exhibit EMAST, while MSI-L is also linked with EMAST. However, the distribution of CpG island methylator phenotype (CIMP) within the EMAST spectrum is not known. Five tetranucleotide repeat and five MSI markers were used to classify 100 sporadic colorectal tumours for EMAST, MSI-H and MSI-L according to the number of unstable markers detected. Promoter methylation was determined using methylation-specific PCR for MSH3, MCC, CDKN2A (p16) and five CIMP marker genes. EMAST was found in 55% of sporadic colorectal carcinomas. Carcinomas with only one positive marker (EMAST-1/5, 26%) were associated with advanced tumour stage, increased lymph node metastasis, MSI-L and lack of CIMP-H. EMAST-2/5 (16%) carcinomas displayed some methylation but MSI was rare. Carcinomas with ≥3 positive EMAST markers (13%) were more likely to have a proximal colon location and be MSI-H and CIMP-H. Our study suggests that EMAST/MSI-L is a valuable prognostic and predictive marker for colorectal carcinomas that do not display the high methylation phenotype CIMP-H.
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Affiliation(s)
- Sabine Meessen
- Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; (S.M.); (N.C.)
| | - Nicola Currey
- Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; (S.M.); (N.C.)
| | - Zeenat Jahan
- The Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW 2037, Australia; (Z.J.); (H.W.P.)
| | - Hannah W. Parker
- The Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW 2037, Australia; (Z.J.); (H.W.P.)
- Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Mark A. Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3000, Australia; (M.A.J.); (J.L.H.)
| | - Daniel D. Buchanan
- Department of Clinical Pathology, University of Melbourne, Melbourne, VIC 3010, Australia;
- University of Melbourne Centre for Cancer Research, University of Melbourne, Melbourne, VIC 3010, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Melbourne, VIC 3010, Australia
| | - John L. Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3000, Australia; (M.A.J.); (J.L.H.)
| | - Eva Segelov
- Department of Oncology, Monash University and Monash Health, Melbourne, VIC 3168, Australia;
| | - Jane E. Dahlstrom
- ACT Pathology, The Canberra Hospital and Australian National University Medical School, Canberra, ACT 2605, Australia;
| | - Maija R. J. Kohonen-Corish
- Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; (S.M.); (N.C.)
- The Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW 2037, Australia; (Z.J.); (H.W.P.)
- Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia
- Microbiome Research Centre, St George & Sutherland Clinical School, UNSW Sydney, Sydney, NSW 2217, Australia
- School of Medicine, Western Sydney University, Sydney, NSW 2751, Australia
- Correspondence:
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30
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Hua X, Kratz M, Malen RC, Dai JY, Lindström S, Zheng Y, Newcomb PA. Association between post-treatment circulating biomarkers of inflammation and survival among stage II-III colorectal cancer patients. Br J Cancer 2021; 125:806-815. [PMID: 34230610 DOI: 10.1038/s41416-021-01458-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 05/09/2021] [Accepted: 06/02/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Biomarker studies on colorectal cancer (CRC) prognosis are limited to pre-diagnostic or pre-operative measures. Post-treatment biomarkers are not well understood for their associations with CRC survival. METHODS We included 306 eligible incident stage II-III CRC cases from the population-based Seattle Colon Cancer Family Registry. Concentrations of C-reactive protein (CRP), interleukin-6 (IL-6), monocyte chemoattractant protein-1 (MCP-1), adiponectin, and leptin were measured using post-treatment plasma samples. Adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause and CRC-specific mortality were calculated using Cox proportional hazard models. RESULTS Elevated levels of CRP, IL-6, MCP-1, and adiponectin were significantly associated with a higher risk of all-cause mortality within 10 years post blood draw with HRs (95% CI) of 1.32 (1.10-2.59), 2.72 (2.07-3.56), 1.97 (1.18-3.28) and 1.71 (1.14-2.58), respectively. IL-6 and adiponectin had a dose-response effect (Ptrend < 0.0001). For CRC-specific mortality, we observed positive associations for CRP (HR = 1.75, 95% CI: 1.2-2.56), IL-6 (HR = 5.02, 95% CI: 2.92-8.59), MCP-1 (HR = 3.78, 95% CI: 1.41-10.08), and adiponectin (HR = 3.16, 95% CI: 1.27-7.86), and inverse association for leptin (HR = 0.44, 95% CI: 0.29-0.68) within the first year of blood draw, whereas the association for IL-6 remained statistically significant over 10 years. CONCLUSION Our results support the role of chronic inflammation in CRC progression and suggested several post-treatment inflammatory biomarkers, particularly IL-6, are promising prognostic markers for stage II-III CRC patients.
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Affiliation(s)
- Xinwei Hua
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,University of Washington, Seattle, WA, USA.,Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Mario Kratz
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,University of Washington, Seattle, WA, USA
| | - Rachel C Malen
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - James Y Dai
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,University of Washington, Seattle, WA, USA
| | - Sara Lindström
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,University of Washington, Seattle, WA, USA
| | - Yingye Zheng
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,University of Washington, Seattle, WA, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. .,University of Washington, Seattle, WA, USA.
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31
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Hua X, Dai JY, Lindström S, Harrison TA, Lin Y, Alberts SR, Alwers E, Berndt SI, Brenner H, Buchanan DD, Campbell PT, Casey G, Chang-Claude J, Gallinger S, Giles GG, Goldberg RM, Gunter MJ, Hoffmeister M, Jenkins MA, Joshi AD, Ma W, Milne RL, Murphy N, Pai RK, Sakoda LC, Schoen RE, Shi Q, Slattery ML, Song M, White E, Marchand LL, Chan AT, Peters U, Newcomb PA. Genetically Predicted Circulating C-Reactive Protein Concentration and Colorectal Cancer Survival: A Mendelian Randomization Consortium Study. Cancer Epidemiol Biomarkers Prev 2021; 30:1349-1358. [PMID: 33972368 PMCID: PMC8254760 DOI: 10.1158/1055-9965.epi-20-1848] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Revised: 02/17/2021] [Accepted: 05/07/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND A positive association between circulating C-reactive protein (CRP) and colorectal cancer survival was reported in observational studies, which are susceptible to unmeasured confounding and reverse causality. We used a Mendelian randomization approach to evaluate the association between genetically predicted CRP concentrations and colorectal cancer-specific survival. METHODS We used individual-level data for 16,918 eligible colorectal cancer cases of European ancestry from 15 studies within the International Survival Analysis of Colorectal Cancer Consortium. We calculated a genetic-risk score based on 52 CRP-associated genetic variants identified from genome-wide association studies. Because of the non-collapsibility of hazard ratios from Cox proportional hazards models, we used the additive hazards model to calculate hazard differences (HD) and 95% confidence intervals (CI) for the association between genetically predicted CRP concentrations and colorectal cancer-specific survival, overall and by stage at diagnosis and tumor location. Analyses were adjusted for age at diagnosis, sex, body mass index, genotyping platform, study, and principal components. RESULTS Of the 5,395 (32%) deaths accrued over up to 10 years of follow-up, 3,808 (23%) were due to colorectal cancer. Genetically predicted CRP concentration was not associated with colorectal cancer-specific survival (HD, -1.15; 95% CI, -2.76 to 0.47 per 100,000 person-years; P = 0.16). Similarly, no associations were observed in subgroup analyses by stage at diagnosis or tumor location. CONCLUSIONS Despite adequate power to detect moderate associations, our results did not support a causal effect of circulating CRP concentrations on colorectal cancer-specific survival. IMPACT Future research evaluating genetically determined levels of other circulating inflammatory biomarkers (i.e., IL6) with colorectal cancer survival outcomes is needed.
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Affiliation(s)
- Xinwei Hua
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- University of Washington, Seattle, Washington
| | - James Y Dai
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- University of Washington, Seattle, Washington
| | - Sara Lindström
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- University of Washington, Seattle, Washington
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | | | - Elizabeth Alwers
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniel D Buchanan
- Department of Clinical Pathology, Colorectal Oncogenomics Group, The University of Melbourne, Parkville, Victoria, Australia
- University of Melbourne Center for Cancer Research, Victorian Comprehensive Cancer Center, Parkville, Victoria, Australia
- Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Peter T Campbell
- Department of Population Science, American Cancer Society, Atlanta, Geogia
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Medical Center Hamburg-Eppendorf, University Cancer Center Hamburg, Hamburg, Germany
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | | | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Mark A Jenkins
- Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Amit D Joshi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Wenjie Ma
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Center for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Neil Murphy
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Scottsdale, Arizona
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Qian Shi
- Department of Health Science Research, Mayo Clinic, Rochester, Minnesota
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah
| | - Mingyang Song
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- University of Washington, Seattle, Washington
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Andrew T Chan
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- University of Washington, Seattle, Washington
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
- University of Washington, Seattle, Washington
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32
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Archambault AN, Lin Y, Jeon J, Harrison TA, Bishop DT, Brenner H, Casey G, Chan AT, Chang-Claude J, Figueiredo JC, Gallinger S, Gruber SB, Gunter MJ, Hoffmeister M, Jenkins MA, Keku TO, Marchand LL, Li L, Moreno V, Newcomb PA, Pai R, Parfrey PS, Rennert G, Sakoda LC, Sandler RS, Slattery ML, Song M, Win AK, Woods MO, Murphy N, Campbell PT, Su YR, Zeleniuch-Jacquotte A, Liang PS, Du M, Hsu L, Peters U, Hayes RB. Nongenetic Determinants of Risk for Early-Onset Colorectal Cancer. JNCI Cancer Spectr 2021; 5:pkab029. [PMID: 34041438 PMCID: PMC8134523 DOI: 10.1093/jncics/pkab029] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 01/12/2021] [Accepted: 01/27/2021] [Indexed: 12/31/2022] Open
Abstract
Background Incidence of early-onset (younger than 50 years of age) colorectal cancer (CRC) is increasing in many countries. Thus, elucidating the role of traditional CRC risk factors in early-onset CRC is a high priority. We sought to determine whether risk factors associated with late-onset CRC were also linked to early-onset CRC and whether association patterns differed by anatomic subsite. Methods Using data pooled from 13 population-based studies, we studied 3767 CRC cases and 4049 controls aged younger than 50 years and 23 437 CRC cases and 35 311 controls aged 50 years and older. Using multivariable and multinomial logistic regression, we estimated odds ratios (ORs) and 95% confidence intervals (CIs) to assess the association between risk factors and early-onset CRC and by anatomic subsite. Results Early-onset CRC was associated with not regularly using nonsteroidal anti-inflammatory drugs (OR = 1.43, 95% CI = 1.21 to 1.68), greater red meat intake (OR = 1.10, 95% CI = 1.04 to 1.16), lower educational attainment (OR = 1.10, 95% CI = 1.04 to 1.16), alcohol abstinence (OR = 1.23, 95% CI = 1.08 to 1.39), and heavier alcohol use (OR = 1.25, 95% CI = 1.04 to 1.50). No factors exhibited a greater excess in early-onset compared with late-onset CRC. Evaluating risks by anatomic subsite, we found that lower total fiber intake was linked more strongly to rectal (OR = 1.30, 95% CI = 1.14 to 1.48) than colon cancer (OR = 1.14, 95% CI = 1.02 to 1.27; P = .04). Conclusion In this large study, we identified several nongenetic risk factors associated with early-onset CRC, providing a basis for targeted identification of those most at risk, which is imperative in mitigating the rising burden of this disease.
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Affiliation(s)
- Alexi N Archambault
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jihyoun Jeon
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - D Timothy Bishop
- Leeds Institute of Medical Research at St. James’s, University of Leeds, Leeds, UK
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Stephen B Gruber
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA, USA
| | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- School of Public Health, University of Washington, Seattle, WA, USA
| | - Rish Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | | | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Robert S Sandler
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Mingyang Song
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St John’s, Canada
| | - Neil Murphy
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Peter T Campbell
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Yu-Ru Su
- Biostatistics Unit, Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Anne Zeleniuch-Jacquotte
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Peter S Liang
- Department of Medicine, New York University School of Medicine, New York, NY, USA
| | - Mengmeng Du
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Richard B Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY, USA
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Biltaji E, Walker B, Au TH, Rivers Z, Ose J, Li CI, Brixner DI, Stenehjem DD, Ulrich CM. Can Cost-effectiveness Analysis Inform Genotype-Guided Aspirin Use for Primary Colorectal Cancer Prevention? Cancer Epidemiol Biomarkers Prev 2021; 30:1106-1113. [PMID: 33849967 PMCID: PMC8172453 DOI: 10.1158/1055-9965.epi-19-1580] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 05/08/2020] [Accepted: 03/29/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Inherited genetic variants can modify the cancer-chemopreventive effect of aspirin. We evaluated the clinical and economic value of genotype-guided aspirin use for colorectal cancer chemoprevention in average-risk individuals. METHODS A decision analytical model compared genotype-guided aspirin use versus no genetic testing, no aspirin. The model simulated 100,000 adults ≥50 years of age with average colorectal cancer and cardiovascular disease risk. Low-dose aspirin daily starting at age 50 years was recommended only for those with a genetic test result indicating a greater reduction in colorectal cancer risk with aspirin use. The primary outcomes were quality-adjusted life-years (QALY), costs, and incremental cost-effectiveness ratio (ICER). RESULTS The mean cost of using genotype-guided aspirin was $187,109 with 19.922 mean QALYs compared with $186,464 with 19.912 QALYs for no genetic testing, no aspirin. Genotype-guided aspirin yielded an ICER of $66,243 per QALY gained, and was cost-effective in 58% of simulations at the $100,000 willingness-to-pay threshold. Genotype-guided aspirin was associated with 1,461 fewer polyps developed, 510 fewer colorectal cancer cases, and 181 fewer colorectal cancer-related deaths. This strategy prevented 1,078 myocardial infarctions with 1,430 gastrointestinal bleeding events, and 323 intracranial hemorrhage cases compared with no genetic testing, no aspirin. CONCLUSIONS Genotype-guided aspirin use for colorectal cancer chemoprevention may offer a cost-effective approach for the future management of average-risk individuals. IMPACT A genotype-guided aspirin strategy may prevent colorectal cancer, colorectal cancer-related deaths, and myocardial infarctions, while minimizing bleeding adverse events. This model establishes a framework for genetically-guided aspirin use for targeted chemoprevention of colorectal cancer with application toward commercial testing in this population.
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Affiliation(s)
- Eman Biltaji
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah
- Program in Personalized Health, University of Utah, Salt Lake City, Utah
- Department of Pediatrics, School of Medicine, University of Utah, Salt Lake City, Utah
| | - Brandon Walker
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah
- Department of Pathology, School of Medicine, University of Utah, Salt Lake City, Utah
| | - Trang H Au
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah
| | - Zachary Rivers
- Department of Pharmacy Practice and Pharmaceutical Sciences, College of Pharmacy, University of Minnesota
| | - Jennifer Ose
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Christopher I Li
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Diana I Brixner
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah.
- Program in Personalized Health, University of Utah, Salt Lake City, Utah
| | - David D Stenehjem
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah.
- Department of Pharmacy Practice and Pharmaceutical Sciences, College of Pharmacy, University of Minnesota
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
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Joo JE, Clendenning M, Wong EM, Rosty C, Mahmood K, Georgeson P, Winship IM, Preston SG, Win AK, Dugué PA, Jayasekara H, English D, Macrae FA, Hopper JL, Jenkins MA, Milne RL, Giles GG, Southey MC, Buchanan DD. DNA Methylation Signatures and the Contribution of Age-Associated Methylomic Drift to Carcinogenesis in Early-Onset Colorectal Cancer. Cancers (Basel) 2021; 13:cancers13112589. [PMID: 34070516 PMCID: PMC8199056 DOI: 10.3390/cancers13112589] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 05/14/2021] [Accepted: 05/19/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary The role of DNA methylation in the carcinogenesis of colorectal cancer (CRC) diagnosed <50 years of age (early-onset CRC or EOCRC) is currently unknown. In this study, we investigated the genome-wide DNA methylation of 97 tumour and 54 normal colonic mucosa samples from people with EOCRC with the aim of identifying unique DNA methylation signatures and determining the role of ageing-related DNA methylation drift and age-acceleration in EOCRC aetiology. We found extensive DNA methylation alterations associated with EOCRC carcinogenesis, including a unique signature comprising 234 loci compared with CRCs from people >50 years of age. CpGs that undergo ageing-related methylation drift were significantly altered in EOCRC, and accelerated ageing was also evident in normal mucosa from people with EOCRC. Our study is the first study to identify unique DNA methylation changes in EOCRC, contributing novel information that may aid future efforts towards EOCRC prevention. Abstract We investigated aberrant DNA methylation (DNAm) changes and the contribution of ageing-associated methylomic drift and age acceleration to early-onset colorectal cancer (EOCRC) carcinogenesis. Genome-wide DNAm profiling using the Infinium HM450K on 97 EOCRC tumour and 54 normal colonic mucosa samples was compared with: (1) intermediate-onset CRC (IOCRC; diagnosed between 50–70 years; 343 tumour and 35 normal); and (2) late-onset CRC (LOCRC; >70 years; 318 tumour and 40 normal). CpGs associated with age-related methylation drift were identified using a public dataset of 231 normal mucosa samples from people without CRC. DNAm-age was estimated using epiTOC2. Common to all three age-of-onset groups, 88,385 (20% of all CpGs) CpGs were differentially methylated between tumour and normal mucosa. We identified 234 differentially methylated genes that were unique to the EOCRC group; 13 of these DMRs/genes were replicated in EOCRC compared with LOCRCs from TCGA. In normal mucosa from people without CRC, we identified 28,154 CpGs that undergo ageing-related DNAm drift, and of those, 65% were aberrantly methylated in EOCRC tumours. Based on the mitotic-based DNAm clock epiTOC2, we identified age acceleration in normal mucosa of people with EOCRC compared with normal mucosa from the IOCRC, LOCRC groups (p = 3.7 × 10−16) and young people without CRC (p = 5.8 × 10−6). EOCRC acquires unique DNAm alterations at 234 loci. CpGs associated with ageing-associated drift were widely affected in EOCRC without needing the decades-long accrual of DNAm drift as commonly seen in intermediate- and late-onset CRCs. Accelerated ageing in normal mucosa from people with EOCRC potentially underlies the earlier age of diagnosis in CRC carcinogenesis.
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Affiliation(s)
- Jihoon E. Joo
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
| | - Mark Clendenning
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
| | - Ee Ming Wong
- Precision Medicine, Monash Health, Monash University, Clayton, Melbourne 3800, Australia; (E.M.W.); (P.-A.D.); (R.L.M.); (G.G.G.); (M.C.S.)
| | - Christophe Rosty
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
- School of Medicine, University of Queensland, Herston, Brisbane 4006, Australia
- Envoi Pathology, Brisbane 4059, Australia
| | - Khalid Mahmood
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
- Melbourne Bioinformatics, The University of Melbourne, Parkville, Melbourne 3010, Australia
| | - Peter Georgeson
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
| | - Ingrid M. Winship
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Parkville, Melbourne 3050, Australia; (I.M.W.); (F.A.M.)
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Melbourne 3050, Australia
| | - Susan G. Preston
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
| | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne 3010, Australia; (A.K.W.); (D.E.); (J.L.H.); (M.A.J.)
| | - Pierre-Antoine Dugué
- Precision Medicine, Monash Health, Monash University, Clayton, Melbourne 3800, Australia; (E.M.W.); (P.-A.D.); (R.L.M.); (G.G.G.); (M.C.S.)
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne 3010, Australia; (A.K.W.); (D.E.); (J.L.H.); (M.A.J.)
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne 3004, Australia
| | - Harindra Jayasekara
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne 3004, Australia
| | - Dallas English
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne 3010, Australia; (A.K.W.); (D.E.); (J.L.H.); (M.A.J.)
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne 3004, Australia
| | - Finlay A. Macrae
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Parkville, Melbourne 3050, Australia; (I.M.W.); (F.A.M.)
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Melbourne 3050, Australia
- Colorectal Medicine and Genetics, The Royal Melbourne Hospital, Parkville, Melbourne 3050, Australia
| | - John L. Hopper
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne 3010, Australia; (A.K.W.); (D.E.); (J.L.H.); (M.A.J.)
| | - Mark A. Jenkins
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne 3010, Australia; (A.K.W.); (D.E.); (J.L.H.); (M.A.J.)
| | - Roger L. Milne
- Precision Medicine, Monash Health, Monash University, Clayton, Melbourne 3800, Australia; (E.M.W.); (P.-A.D.); (R.L.M.); (G.G.G.); (M.C.S.)
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne 3010, Australia; (A.K.W.); (D.E.); (J.L.H.); (M.A.J.)
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne 3004, Australia
| | - Graham G. Giles
- Precision Medicine, Monash Health, Monash University, Clayton, Melbourne 3800, Australia; (E.M.W.); (P.-A.D.); (R.L.M.); (G.G.G.); (M.C.S.)
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne 3010, Australia; (A.K.W.); (D.E.); (J.L.H.); (M.A.J.)
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne 3004, Australia
| | - Melissa C. Southey
- Precision Medicine, Monash Health, Monash University, Clayton, Melbourne 3800, Australia; (E.M.W.); (P.-A.D.); (R.L.M.); (G.G.G.); (M.C.S.)
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne 3004, Australia
- Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia
| | - Daniel D. Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Melbourne 3050, Australia
- Correspondence: ; Tel.: +61-3-8559-7004
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35
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Robinson JRM, Phipps AI, Barrington WE, Hurvitz PM, Sheppard L, Malen RC, Newcomb PA. Associations of Household Income with Health-Related Quality of Life Following a Colorectal Cancer Diagnosis Varies With Neighborhood Socioeconomic Status. Cancer Epidemiol Biomarkers Prev 2021; 30:1366-1374. [PMID: 33947657 PMCID: PMC8254776 DOI: 10.1158/1055-9965.epi-20-1823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 03/12/2021] [Accepted: 05/03/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Existing evidence indicates household income as a predictor of health-related quality of life (HRQoL) following a colorectal cancer diagnosis. This association likely varies with neighborhood socioeconomic status (nSES), but evidence is limited. METHODS We included data from 1,355 colorectal cancer survivors participating in the population-based Puget Sound Colorectal Cancer Cohort (PSCCC). Survivors reported current annual household income; we measured HRQoL via the Functional Assessment of Cancer Therapy - Colorectal (FACT-C) tool. Using neighborhood data summarized within a 1-km radial buffer of Census block group centroids, we constructed a multidimensional nSES index measure. We employed survivors' geocoded residential addresses to append nSES score for Census block group of residence. With linear generalized estimating equations clustered on survivor location, we evaluated associations of household income with differences in FACT-C mean score, overall and stratified by nSES. We used separate models to explore relationships for wellbeing subscales. RESULTS We found lower household income to be associated with clinically meaningful differences in overall FACT-C scores [<$30K: -13.6; 95% confidence interval (CI): -16.8 to -10.4] and subscale wellbeing after a recent colorectal cancer diagnosis. Relationships were slightly greater in magnitude for survivors living in lower SES neighborhoods. CONCLUSIONS Our findings suggest that recently diagnosed lower income colorectal cancer survivors are likely to report lower HRQoL, and modestly more so in lower SES neighborhoods. IMPACT The findings from this work will aid future investigators' ability to further consider the contexts in which the income of survivors can be leveraged as a means of improving HRQoL.
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Affiliation(s)
- Jamaica R M Robinson
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York. .,Columbia Population Research Center, Columbia University, New York, New York
| | - Amanda I Phipps
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington.,Cancer Epidemiology, Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Wendy E Barrington
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington.,School of Nursing, University of Washington, Seattle, Washington
| | - Philip M Hurvitz
- Urban Form Lab, University of Washington, Seattle, Washington.,Center for Studies in Demography and Ecology, University of Washington, Seattle, Washington
| | - Lianne Sheppard
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington.,Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington
| | - Rachel C Malen
- Cancer Prevention, Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Polly A Newcomb
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington.,Cancer Prevention, Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
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36
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Yuan F, Deng L, Sun X, Chen Z, Shivappa N, Sheth AK, Cooper GS, Hebert JR, Li L. Dietary inflammatory index and risk of colorectal adenoma: effect measure modification by race, nonsteroidal anti-inflammatory drugs, cigarette smoking and body mass index? Cancer Causes Control 2021; 32:837-847. [PMID: 33928482 DOI: 10.1007/s10552-021-01436-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 04/16/2021] [Indexed: 12/19/2022]
Abstract
PURPOSE To investigate if the association between dietary inflammatory potential and colorectal adenoma (CRA) is modified by race and factors known to modulate inflammation. METHODS We examined effect measure modification of race, nonsteroidal anti-inflammatory drugs (NSAIDs), cigarette smoking and body mass index (BMI) on the diet-CRA association by employing energy-adjusted dietary inflammatory index (E-DII™) to characterize dietary inflammatory potential among 587 cases and 1,313 controls participating in a colonoscopy screening-based cross-sectional study of CRA. Participants completed a food frequency questionnaire from which E-DII score was derived. E-DII score was calculated from 34 food parameters (constituents), utilizing an energy-adjusted global comparative database to compute z scores from which centered proportions were summed to create the score. CRA cases were defined as individuals whose colonoscopy detected at least one pathologically confirmed adenomatous polyp. Unconditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS A pro-inflammatory diet was not statistically significantly associated with elevated CRA risk (OR 1.07; 95% CI 0.97-1.19; p value = 0.18) in the multivariate regression model. NSAIDs use (ORnever-users 1.19; 95% CI 1.03-1.38; ORever-users 0.96; 95% CI 0.83-1.12; Pinteraction = 0.04) and race (ORAfrican Americans 1.22; 95% CI 1.03-1.44; OREuropean Americans 0.99; 95% CI 0.86-1.14; Pinteraction = 0.14) appeared to modify the association, whereas cigarette smoking and BMI did not (Pinteraction = 0.40 and 0.78, respectively). CONCLUSION NSAIDs use and race may modify the diet-CRA association. Further investigation in prospective cohort studies is warranted to confirm these findings.
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Affiliation(s)
- Fangcheng Yuan
- Department of Family Medicine, University of Virginia School of Medicine, McKim Hall Rm 3156, Charlottesville, VA, 22908, USA
| | - Lin Deng
- Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Xiangqing Sun
- Department of Family Medicine, University of Virginia School of Medicine, McKim Hall Rm 3156, Charlottesville, VA, 22908, USA
| | - Zhengyi Chen
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Nitin Shivappa
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Department of Nutrition, Connecting Health Innovations LLC, Columbia, SC, USA
| | - Ashutosh K Sheth
- Department of Family Medicine, University of Virginia School of Medicine, McKim Hall Rm 3156, Charlottesville, VA, 22908, USA
| | - Gregory S Cooper
- Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - James R Hebert
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Department of Nutrition, Connecting Health Innovations LLC, Columbia, SC, USA
| | - Li Li
- Department of Family Medicine, University of Virginia School of Medicine, McKim Hall Rm 3156, Charlottesville, VA, 22908, USA.
- Cancer Center, University of Virginia, Charlottesville, VA, USA.
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37
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Pope BJ, Clendenning M, Rosty C, Mahmood K, Georgeson P, Joo JE, Walker R, Hutchinson RA, Jayasekara H, Joseland S, Como J, Preston S, Spurdle AB, Macrae FA, Win AK, Hopper JL, Jenkins MA, Winship IM, Buchanan DD. Germline and Tumor Sequencing as a Diagnostic Tool To Resolve Suspected Lynch Syndrome. J Mol Diagn 2021; 23:358-371. [PMID: 33383211 PMCID: PMC7927277 DOI: 10.1016/j.jmoldx.2020.12.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 11/13/2020] [Accepted: 12/15/2020] [Indexed: 12/22/2022] Open
Abstract
Patients in whom mismatch repair (MMR)-deficient cancer develops in the absence of pathogenic variants of germline MMR genes or somatic hypermethylation of the MLH1 gene promoter are classified as having suspected Lynch syndrome (SLS). Germline whole-genome sequencing (WGS) and targeted and genome-wide tumor sequencing were applied to identify the underlying cause of tumor MMR deficiency in SLS. Germline WGS was performed on samples from 14 cancer-affected patients with SLS, including two sets of first-degree relatives. MMR genes were assessed for germline pathogenic variants, including complex structural rearrangements and noncoding variants. Tumor tissue was assessed for somatic MMR gene mutations using targeted, whole-exome sequencing or WGS. Germline WGS identified pathogenic MMR variants in 3 of the 14 cases (21.4%), including a 9.5-megabase inversion disrupting MSH2 in a mother and daughter. Excluding these 3 MMR carriers, tumor sequencing identified at least two somatic MMR gene mutations in 8 of 11 tumors tested (72.7%). In a second mother-daughter pair, a somatic cause of tumor MMR deficiency was supported by the presence of double somatic MSH2 mutations in their respective tumors. More than 70% of SLS cases had double somatic MMR mutations in the absence of germline pathogenic variants in the MMR or other DNA repair-related genes on WGS, and, therefore, were confidently assigned a noninherited cause of tumor MMR deficiency.
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Affiliation(s)
- Bernard J Pope
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; Melbourne Bioinformatics, The University of Melbourne, Parkville, Victoria, Australia
| | - Mark Clendenning
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Christophe Rosty
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; Envoi Specialist Pathologists, Brisbane, Queensland, Australia; School of Medicine, University of Queensland, Herston, Queensland, Australia
| | - Khalid Mahmood
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; Melbourne Bioinformatics, The University of Melbourne, Parkville, Victoria, Australia
| | - Peter Georgeson
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Jihoon E Joo
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Romy Walker
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Ryan A Hutchinson
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Harindra Jayasekara
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; Division of Cancer Epidemiology, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Sharelle Joseland
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Julia Como
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Susan Preston
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia
| | - Amanda B Spurdle
- Molecular Cancer Epidemiology Laboratory, Berghofer Medical Research Institute, Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - Finlay A Macrae
- Colorectal Medicine and Genetics, The Royal Melbourne Hospital, Parkville, Victoria, Australia; Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia; Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Aung K Win
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia
| | - Ingrid M Winship
- Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia; Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; Centre for Cancer Research, Victorian Comprehensive Cancer Centre, The University of Melbourne, Parkville, Victoria, Australia; Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia.
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Brouwer JGM, Newcomb PA, Bisseling TM, Figueiredo JC, Hopper JL, Jenkins MA, Koornstra JJ, Lindor NM, Vasen HFA, Win AK, Kampman E, van Duijnhoven FJB. Associations of Height With the Risks of Colorectal and Endometrial Cancer in Persons With Lynch Syndrome. Am J Epidemiol 2021; 190:230-238. [PMID: 33524116 PMCID: PMC8210745 DOI: 10.1093/aje/kwaa175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 08/12/2020] [Accepted: 08/12/2020] [Indexed: 11/13/2022] Open
Abstract
People with Lynch syndrome (LS), who carry a pathogenic mutation in a DNA mismatch repair gene, have increased risks of colorectal cancer (CRC) and endometrial cancer (EC). A high reported variability in cancer risk suggests the existence of factors that modify cancer risk for persons with LS. We aimed to investigate the associations between height and CRC and EC risk for persons with LS using data from 2 large studies. Information on 1,115 men and 1,553 women with LS from the Colon Cancer Family Registry (1998–2007) and the GEOLynch Cohort Study (2006–2017) was harmonized. We used weighted Cox proportional hazards regression models with age on the time axis to estimate adjusted hazard ratios and 95% confidence intervals for each 5-cm increment in self-reported height. CRC was diagnosed in 947 persons during 65,369 person-years of observation, and 171 women were diagnosed with EC during 39,227 person-years. Height was not associated with CRC for either men (per 5-cm increment, hazard ratio (HR) = 1.00, 95% confidence interval (CI): 0.91, 1.11) or women (per 5-cm increment, HR = 1.01, 95% CI: 0.92, 1.11), nor was height associated with EC (per 5-cm increment, HR = 1.08, 95% CI: 0.94, 1.24). Hence, we observed no evidence for an association of height with either CRC or EC among persons with LS.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Fränzel J B van Duijnhoven
- Correspondence to Dr. Fränzel J. B. van Duijnhoven, Division of Human Nutrition and Health, Wageningen University & Research, P.O. Box 17, 6700 AA Wageningen, the Netherlands (e-mail: )
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39
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Elsayed FA, Grolleman JE, Ragunathan A, Buchanan DD, van Wezel T, de Voer RM. Monoallelic NTHL1 Loss-of-Function Variants and Risk of Polyposis and Colorectal Cancer. Gastroenterology 2020; 159:2241-2243.e6. [PMID: 32860789 PMCID: PMC7899696 DOI: 10.1053/j.gastro.2020.08.042] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 08/21/2020] [Accepted: 08/22/2020] [Indexed: 12/30/2022]
Affiliation(s)
- Fadwa A. Elsayed
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| | - Judith E. Grolleman
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Abiramy Ragunathan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia,Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | | | - Daniel D. Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia,Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Tom van Wezel
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| | - Richarda M. de Voer
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
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40
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Jarvik GP, Wang X, Fontanillas P, Kim E, Chanprasert S, Gordon AS, Bastarache L, Kowdley KV, Harrison T, Rosenthal EA, Stanaway IB, Bézieau S, Weinstein SJ, Newcomb PA, Casey G, Platz EA, Visvanathan K, Le Marchand L, Ulrich CM, Hardikar S, Li CI, van Duijnhoven FJ, Gsur A, Campbell PT, Moreno V, Vodička P, Brenner H, Chang-Claude J, Hoffmeister M, Slattery ML, Gunter MJ, Aglago EK, Castellví-Bel S, Kweon SS, Chan AT, Li L, Zheng W, Bishop DT, Giles GG, Rennert G, Offit K, Keku TO, Woods MO, Hampe J, Van Guelpen B, Gallinger SJ, de la Chapelle A, Hampel H, Berndt SI, Tangen CM, Lindblom A, Wolk A, Burnett-Hartman A, Wu AH, White E, Gruber SB, Jenkins MA, Mountain J, Peters U, Crosslin DR. Hemochromatosis risk genotype is not associated with colorectal cancer or age at its diagnosis. HGG ADVANCES 2020; 1:100010. [PMID: 35047832 PMCID: PMC8756515 DOI: 10.1016/j.xhgg.2020.100010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 08/12/2020] [Indexed: 11/28/2022] Open
Abstract
Homozygotes for the higher penetrance hemochromatosis risk allele, HFE c.845G>A (p.Cys282Tyr, or C282Y), have been reported to be at a 2- to 3-fold increased risk for colorectal cancer (CRC). These results have been reported for small sample size studies with no information about age at diagnosis for CRC. An association with age at diagnosis might alter CRC screening recommendations. We analyzed two large European ancestry datasets to assess the association of HFE genotype with CRC risk and age at CRC diagnosis. The first dataset included 59,733 CRC or advanced adenoma cases and 72,351 controls from a CRC epidemiological study consortium. The second dataset included 13,564 self-reported CRC cases and 2,880,218 controls from the personal genetics company, 23andMe. No association of the common hereditary hemochromatosis (HH) risk genotype and CRC was found in either dataset. The odds ratios (ORs) for the association of CRC and HFE C282Y homozygosity were 1.08 (95% confidence interval [CI], 0.91-1.29; p = 0.4) and 1.01 (95% CI, 0.78-1.31, p = 0.9) in the two cohorts, respectively. Age at CRC diagnosis also did not differ by HFE C282Y/C282Y genotype in either dataset. These results indicate no increased CRC risk in individuals with HH genotypes and suggest that persons with HH risk genotypes can follow population screening recommendations for CRC.
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Affiliation(s)
- Gail P. Jarvik
- University of Washington Medical Center, Seattle, WA, USA
| | - Xiaoliang Wang
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | | | | | | | | | | | | | | | | | | | | | - Polly A. Newcomb
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- School of Public Health, University of Washington, Seattle, WA
| | - Graham Casey
- University of Virginia, Charlottesville, VA, USA
| | | | - Kala Visvanathan
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | | | | | | | | | | | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP) and Department of Clinical Sciences, Faculty of Medicine, University of Barcelona (UB), L’Hospitalet, 08908, Barcelona, Spain
| | - Pavel Vodička
- Institute of Experimental Medicine, Czech Academy of Sciences, Biomedical Center, Medical Faculty Pilsen and 1st Medical Faculty, Charles University, Prague, Czech Republic
| | | | | | | | | | - Marc J. Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Elom K. Aglago
- Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Sergi Castellví-Bel
- Gastroenterology Department, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Sun-Seog Kweon
- Chonnam National University Medical School, Gwangju, Korea
| | - Andrew T. Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Li Li
- University of Virginia, Charlottesville, VA, USA
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | | | - Graham G. Giles
- Cancer Council Victoria, Melbourne, VIC, Australia
- University of Melbourne, Melbourne, VIC, Australia
- Monash University, Melbourne, VIC, Australia
| | - Gad Rennert
- Lady Davis Carmel Medical Center, Haifa, Israel
| | - Kenneth Offit
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | - Jochen Hampe
- Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Bethan Van Guelpen
- Department of Radiation Sciences, Oncology, Umeå University and Wallenberg Centre for Molecular Medicine, Umeå University, Sweden
| | | | | | | | - Sonja I. Berndt
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Alicja Wolk
- Karolinska Institutet, Stockholm, Sweden
- Uppsala University, Uppsala, Sweden
| | | | - Anna H. Wu
- University of Southern California, Los Angeles, CA, USA
| | - Emily White
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | | | - Mark A. Jenkins
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, VIC, Australia
| | | | - Ulrike Peters
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington School of Medicine, Seattle, WA, USA
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41
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Seyed Khoei N, Jenab M, Murphy N, Banbury BL, Carreras-Torres R, Viallon V, Kühn T, Bueno-de-Mesquita B, Aleksandrova K, Cross AJ, Weiderpass E, Stepien M, Bulmer A, Tjønneland A, Boutron-Ruault MC, Severi G, Carbonnel F, Katzke V, Boeing H, Bergmann MM, Trichopoulou A, Karakatsani A, Martimianaki G, Palli D, Tagliabue G, Panico S, Tumino R, Sacerdote C, Skeie G, Merino S, Bonet C, Rodríguez-Barranco M, Gil L, Chirlaque MD, Ardanaz E, Myte R, Hultdin J, Perez-Cornago A, Aune D, Tsilidis KK, Albanes D, Baron JA, Berndt SI, Bézieau S, Brenner H, Campbell PT, Casey G, Chan AT, Chang-Claude J, Chanock SJ, Cotterchio M, Gallinger S, Gruber SB, Haile RW, Hampe J, Hoffmeister M, Hopper JL, Hsu L, Huyghe JR, Jenkins MA, Joshi AD, Kampman E, Larsson SC, Le Marchand L, Li CI, Li L, Lindblom A, Lindor NM, Martín V, Moreno V, Newcomb PA, Offit K, Ogino S, Parfrey PS, Pharoah PDP, Rennert G, Sakoda LC, Schafmayer C, Schmit SL, Schoen RE, Slattery ML, Thibodeau SN, Ulrich CM, van Duijnhoven FJB, Weigl K, Weinstein SJ, White E, Wolk A, Woods MO, Wu AH, Zhang X, Ferrari P, Anton G, Peters A, Peters U, Gunter MJ, Wagner KH, Freisling H. Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses. BMC Med 2020; 18:229. [PMID: 32878631 PMCID: PMC7469292 DOI: 10.1186/s12916-020-01703-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 07/09/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Bilirubin, a byproduct of hemoglobin breakdown and purported anti-oxidant, is thought to be cancer preventive. We conducted complementary serological and Mendelian randomization (MR) analyses to investigate whether alterations in circulating levels of bilirubin are associated with risk of colorectal cancer (CRC). We decided a priori to perform analyses separately in men and women based on suggestive evidence that associations may differ by sex. METHODS In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition (EPIC), pre-diagnostic unconjugated bilirubin (UCB, the main component of total bilirubin) concentrations were measured by high-performance liquid chromatography in plasma samples of 1386 CRC cases and their individually matched controls. Additionally, 115 single-nucleotide polymorphisms (SNPs) robustly associated (P < 5 × 10-8) with circulating total bilirubin were instrumented in a 2-sample MR to test for a potential causal effect of bilirubin on CRC risk in 52,775 CRC cases and 45,940 matched controls in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colon Cancer Family Registry (CCFR), and the Colorectal Transdisciplinary (CORECT) study. RESULTS The associations between circulating UCB levels and CRC risk differed by sex (Pheterogeneity = 0.008). Among men, higher levels of UCB were positively associated with CRC risk (odds ratio [OR] = 1.19, 95% confidence interval [CI] = 1.04-1.36; per 1-SD increment of log-UCB). In women, an inverse association was observed (OR = 0.86 (0.76-0.97)). In the MR analysis of the main UGT1A1 SNP (rs6431625), genetically predicted higher levels of total bilirubin were associated with a 7% increase in CRC risk in men (OR = 1.07 (1.02-1.12); P = 0.006; per 1-SD increment of total bilirubin), while there was no association in women (OR = 1.01 (0.96-1.06); P = 0.73). Raised bilirubin levels, predicted by instrumental variables excluding rs6431625, were suggestive of an inverse association with CRC in men, but not in women. These differences by sex did not reach formal statistical significance (Pheterogeneity ≥ 0.2). CONCLUSIONS Additional insight into the relationship between circulating bilirubin and CRC is needed in order to conclude on a potential causal role of bilirubin in CRC development.
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Affiliation(s)
- Nazlisadat Seyed Khoei
- Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, Vienna, Austria
| | - Mazda Jenab
- Nutritional Epidemiology Group, Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Neil Murphy
- Nutritional Epidemiology Group, Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Barbara L Banbury
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Robert Carreras-Torres
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL). L'Hospitalet de Llobregat, Barcelona, Spain
| | - Vivian Viallon
- Nutritional Methodology and Biostatistics Group, Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), 150 cours Albert Thomas, 69372, Lyon CEDEX 08, France
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Center, Utrecht, The Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Krasimira Aleksandrova
- Group Nutrition, Immunity and Metabolism, Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Amanda J Cross
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | | | - Magdalena Stepien
- Nutritional Epidemiology Group, Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Andrew Bulmer
- School of Medicine, Griffith University, Brisbane, QLD, Australia
- Alliance for Vascular Access Teaching and Research (AVATAR), Menzies Health Institute Queensland, Griffith University, Brisbane, QLD, Australia
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Marie-Christine Boutron-Ruault
- CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Fac. de médecine - Univ. Paris-Sud, Fac. de médecine - UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Gianluca Severi
- CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Fac. de médecine - Univ. Paris-Sud, Fac. de médecine - UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Franck Carbonnel
- CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Fac. de médecine - Univ. Paris-Sud, Fac. de médecine - UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
- Department of Gastroenterology, Bicêtre University Hospital, Public Assistance Hospitals of Paris, Le Kremlin Bicêtre, France
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Postdam-Rehbrücke, Nuthetal, Germany
| | - Manuela M Bergmann
- Department of Epidemiology, German Institute of Human Nutrition Postdam-Rehbrücke, Nuthetal, Germany
| | | | - Anna Karakatsani
- Hellenic Health Foundation, Athens, Greece
- 2nd Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, "ATTIKON" University Hospital, Haidari, Greece
| | | | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy
| | - Giovanna Tagliabue
- Lombardy Cancer Registry Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, "M.P. Arezzo" Hospital, ASP Ragusa, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø (UiT), The Arctic University of Norway, Tromsø, Norway
- Nutritional Epidemiology Group, School of Food and Nutrition, University of Leeds, Leeds, UK
| | | | - Catalina Bonet
- Cancer Epidemiology Research Program, Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | - Miguel Rodríguez-Barranco
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria, ibs. GRANADA, Universidad de Granada, Granada, Spain
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Leire Gil
- Public Health Division of Gipuzkoa-BIODONOSTIA, Basque Regional Health Department, San Sebastian, Spain
| | - Maria-Dolores Chirlaque
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain
| | - Eva Ardanaz
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Robin Myte
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Johan Hultdin
- Department of Medical Biosciences, Clinical Chemistry, Umeå University, Umeå, Sweden
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Nutrition, Bjørknes University College, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - John A Baron
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michelle Cotterchio
- Prevention and Cancer Control, Cancer Care Ontario, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada
| | - Stephen B Gruber
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Robert W Haile
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Jochen Hampe
- Department of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Amit D Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Ellen Kampman
- Division of Human Nutrition, Wageningen University and Research, Wageningen, The Netherlands
| | - Susanna C Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Christopher I Li
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA, USA
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Noralane M Lindor
- Department of Health Science Research, Mayo Clinic, Scottsdale, AZ, USA
| | - Vicente Martín
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Biomedicine Institute (IBIOMED), University of León, León, Spain
| | - Victor Moreno
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL). L'Hospitalet de Llobregat, Barcelona, Spain
- Cancer Epidemiology Research Program, Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, USA
- Department of Medicine, Weill Cornell Medical College, New York, USA
| | - Shuji Ogino
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Patrick S Parfrey
- The Clinical Epidemiology Unit, Memorial University Medical School, Newfoundland, Canada
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Clemens Schafmayer
- Department of General, Visceral, Vascular, and Transplantation Surgery, University Hospital Rostock, Rostock, Germany
| | - Stephanie L Schmit
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Stephen N Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | | | - Korbinian Weigl
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Medical Faculty, University of Heidelberg, Heidelberg, Germany
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael O Woods
- Discipline of Genetics, Memorial University of Newfoundland, St. John's, Canada
| | - Anna H Wu
- University of Southern California, Preventative Medicine, Los Angeles, CA, USA
| | - Xuehong Zhang
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Pietro Ferrari
- Nutritional Methodology and Biostatistics Group, Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), 150 cours Albert Thomas, 69372, Lyon CEDEX 08, France
| | - Gabriele Anton
- Institute of Epidemiology, Helmholtz Zentrum Munich, Neuherberg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum Munich, Neuherberg, Germany
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Marc J Gunter
- Nutritional Epidemiology Group, Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Karl-Heinz Wagner
- Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, Vienna, Austria
| | - Heinz Freisling
- Nutritional Methodology and Biostatistics Group, Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), 150 cours Albert Thomas, 69372, Lyon CEDEX 08, France.
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42
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Wang X, Su YR, Petersen PS, Bien S, Schmit SL, Drew DA, Albanes D, Berndt SI, Brenner H, Campbell PT, Casey G, Chang-Claude J, Gallinger SJ, Gruber SB, Haile RW, Harrison TA, Hoffmeister M, Jacobs EJ, Jenkins MA, Joshi AD, Li L, Lin Y, Lindor NM, Marchand LL, Martin V, Milne R, Maclnnis R, Moreno V, Nan H, Newcomb PA, Potter JD, Rennert G, Rennert H, Slattery ML, Thibodeau SN, Weinstein SJ, Woods MO, Chan AT, White E, Hsu L, Peters U. Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk. Cancer Epidemiol Biomarkers Prev 2020; 29:1800-1808. [PMID: 32651213 PMCID: PMC7556991 DOI: 10.1158/1055-9965.epi-19-1018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 11/13/2019] [Accepted: 06/24/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Regular use of nonsteroidal anti-inflammatory drugs (NSAID) is associated with lower risk of colorectal cancer. Genome-wide interaction analysis on single variants (G × E) has identified several SNPs that may interact with NSAIDs to confer colorectal cancer risk, but variations in gene expression levels may also modify the effect of NSAID use. Therefore, we tested interactions between NSAID use and predicted gene expression levels in relation to colorectal cancer risk. METHODS Genetically predicted gene expressions were tested for interaction with NSAID use on colorectal cancer risk among 19,258 colorectal cancer cases and 18,597 controls from 21 observational studies. A Mixed Score Test for Interactions (MiSTi) approach was used to jointly assess G × E effects which are modeled via fixed interaction effects of the weighted burden within each gene set (burden) and residual G × E effects (variance). A false discovery rate (FDR) at 0.2 was applied to correct for multiple testing. RESULTS Among the 4,840 genes tested, genetically predicted expression levels of four genes modified the effect of any NSAID use on colorectal cancer risk, including DPP10 (PG×E = 1.96 × 10-4), KRT16 (PG×E = 2.3 × 10-4), CD14 (PG×E = 9.38 × 10-4), and CYP27A1 (PG×E = 1.44 × 10-3). There was a significant interaction between expression level of RP11-89N17 and regular use of aspirin only on colorectal cancer risk (PG×E = 3.23 × 10-5). No interactions were observed between predicted gene expression and nonaspirin NSAID use at FDR < 0.2. CONCLUSIONS By incorporating functional information, we discovered several novel genes that interacted with NSAID use. IMPACT These findings provide preliminary support that could help understand the chemopreventive mechanisms of NSAIDs on colorectal cancer.
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Affiliation(s)
- Xiaoliang Wang
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Yu-Ru Su
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Paneen S Petersen
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Stephanie Bien
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Stephanie L Schmit
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - David A Drew
- Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Graham Casey
- Public Health Sciences, University of Virginia, Charlottesville, Virginia
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Cancer Center Hamburg, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Steven J Gallinger
- Department of Pathology and Laboratory Medicine, Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada
- Division of General Surgery, Toronto General Hospital, Toronto, Ontario, Canada
| | - Stephen B Gruber
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Robert W Haile
- Department of Health Research and Policy (Epidemiology), Stanford University School of Medicine, Palo Alto, California
- Department of Medicine (Oncology), Stanford Cancer Institute, Palo Alto, California
| | - Tabitha A Harrison
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Eric J Jacobs
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Amit D Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, Virginia
| | - Yi Lin
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Noralane M Lindor
- Department of Health Sciences Research, Mayo Clinic, Scottsdale, Arizona
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Vicente Martin
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Biomedicine Institute (IBIOMED), University of León, León, Spain
| | - Roger Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Robert Maclnnis
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Victor Moreno
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Cancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Hongmei Nan
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana
- Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, Indiana
| | - Polly A Newcomb
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - John D Potter
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
- Centre for Public Health Research, Massey University, Wellington, New Zealand
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Hedy Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - Steve N Thibodeau
- Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, Minnesota
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Michael O Woods
- Discipline of Genetics, Memorial University of Newfoundland, St. John's, Canada
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Emily White
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Li Hsu
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Ulrike Peters
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
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43
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Montazeri Z, Li X, Nyiraneza C, Ma X, Timofeeva M, Svinti V, Meng X, He Y, Bo Y, Morgan S, Castellví-Bel S, Ruiz-Ponte C, Fernández-Rozadilla C, Carracedo Á, Castells A, Bishop T, Buchanan D, Jenkins MA, Keku TO, Lindblom A, van Duijnhoven FJB, Wu A, Farrington SM, Dunlop MG, Campbell H, Theodoratou E, Zheng W, Little J. Systematic meta-analyses, field synopsis and global assessment of the evidence of genetic association studies in colorectal cancer. Gut 2020; 69:1460-1471. [PMID: 31818908 PMCID: PMC7398467 DOI: 10.1136/gutjnl-2019-319313] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 11/15/2019] [Accepted: 11/20/2019] [Indexed: 12/18/2022]
Abstract
OBJECTIVE To provide an understanding of the role of common genetic variations in colorectal cancer (CRC) risk, we report an updated field synopsis and comprehensive assessment of evidence to catalogue all genetic markers for CRC (CRCgene2). DESIGN We included 869 publications after parallel literature review and extracted data for 1063 polymorphisms in 303 different genes. Meta-analyses were performed for 308 single nucleotide polymorphisms (SNPs) in 158 different genes with at least three independent studies available for analysis. Scottish, Canadian and Spanish data from genome-wide association studies (GWASs) were incorporated for the meta-analyses of 132 SNPs. To assess and classify the credibility of the associations, we applied the Venice criteria and Bayesian False-Discovery Probability (BFDP). Genetic associations classified as 'positive' and 'less-credible positive' were further validated in three large GWAS consortia conducted in populations of European origin. RESULTS We initially identified 18 independent variants at 16 loci that were classified as 'positive' polymorphisms for their highly credible associations with CRC risk and 59 variants at 49 loci that were classified as 'less-credible positive' SNPs; 72.2% of the 'positive' SNPs were successfully replicated in three large GWASs and the ones that were not replicated were downgraded to 'less-credible' positive (reducing the 'positive' variants to 14 at 11 loci). For the remaining 231 variants, which were previously reported, our meta-analyses found no evidence to support their associations with CRC risk. CONCLUSION The CRCgene2 database provides an updated list of genetic variants related to CRC risk by using harmonised methods to assess their credibility.
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Affiliation(s)
- Zahra Montazeri
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Xue Li
- Centre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Christine Nyiraneza
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Xiangyu Ma
- Department of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, Chongqing, China
| | - Maria Timofeeva
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre and Medical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics & Molecular Medicine, The University of Edinburgh, Edinburgh, UK
| | - Victoria Svinti
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre and Medical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics & Molecular Medicine, The University of Edinburgh, Edinburgh, UK
| | - Xiangrui Meng
- Centre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Yazhou He
- Centre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Yacong Bo
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shenzhen, Hong Kong
| | - Samuel Morgan
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Sergi Castellví-Bel
- Gastroenterology Department, Institut D'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Universitat de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, Spain
| | - Clara Ruiz-Ponte
- Fundación Pública Galega de Medicina Xenómica, Grupo de Medicina Xenómica, Santiago de Compostela, Spain; Instituto de Investigación Sanitaria de Santiago (IDIS), Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Santiago de Compostela, Spain
| | - Ceres Fernández-Rozadilla
- Fundación Pública Galega de Medicina Xenómica, Grupo de Medicina Xenómica, Santiago de Compostela, Spain; Instituto de Investigación Sanitaria de Santiago (IDIS), Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Santiago de Compostela, Spain
| | - Ángel Carracedo
- Fundación Pública Galega de Medicina Xenómica, Grupo de Medicina Xenómica, Santiago de Compostela, Spain; Instituto de Investigación Sanitaria de Santiago (IDIS), Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Santiago de Compostela, Spain
| | - Antoni Castells
- Gastroenterology Department, Institut D'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Universitat de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, Spain
| | - Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Daniel Buchanan
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, Victoria, Australia
- Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | | | - Anna Wu
- University of Southern California, Preventative Medicine, Los Angeles, California, USA
| | - Susan M Farrington
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre and Medical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics & Molecular Medicine, The University of Edinburgh, Edinburgh, UK
| | - Malcolm G Dunlop
- Colon Cancer Genetics Group, Cancer Research UK Edinburgh Centre and Medical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics & Molecular Medicine, The University of Edinburgh, Edinburgh, UK
| | - Harry Campbell
- Centre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, UK
- Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, UK
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Julian Little
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
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44
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Labadie JD, Harrison TA, Banbury B, Amtay EL, Bernd S, Brenner H, Buchanan DD, Campbell PT, Cao Y, Chan AT, Chang-Claude J, English D, Figueiredo JC, Gallinger SJ, Giles GG, Gunter MJ, Hoffmeister M, Hsu L, Jenkins MA, Lin Y, Milne RL, Moreno V, Murphy N, Ogino S, Phipps AI, Sakoda LC, Slattery ML, Southey MC, Sun W, Thibodeau SN, Van Guelpen B, Zaidi SH, Peters U, Newcomb PA. Postmenopausal Hormone Therapy and Colorectal Cancer Risk by Molecularly Defined Subtypes and Tumor Location. JNCI Cancer Spectr 2020; 4:pkaa042. [PMID: 32923935 PMCID: PMC7477374 DOI: 10.1093/jncics/pkaa042] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 04/20/2020] [Accepted: 05/12/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Postmenopausal hormone therapy (HT) is associated with a decreased colorectal cancer (CRC) risk. As CRC is a heterogeneous disease, we evaluated whether the association of HT and CRC differs across etiologically relevant, molecularly defined tumor subtypes and tumor location. METHODS We pooled data on tumor subtypes (microsatellite instability status, CpG island methylator phenotype status, BRAF and KRAS mutations, pathway: adenoma-carcinoma, alternate, serrated), tumor location (proximal colon, distal colon, rectum), and HT use among 8220 postmenopausal women (3898 CRC cases and 4322 controls) from 8 observational studies. We used multinomial logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CIs) for the association of ever vs never HT use with each tumor subtype compared with controls. Models were adjusted for study, age, body mass index, smoking status, and CRC family history. All statistical tests were 2-sided. RESULTS Among postmenopausal women, ever HT use was associated with a 38% reduction in overall CRC risk (OR =0.62, 95% CI = 0.56 to 0.69). This association was similar according to microsatellite instability, CpG island methylator phenotype and BRAF or KRAS status. However, the association was attenuated for tumors arising through the serrated pathway (OR = 0.81, 95% CI = 0.66 to 1.01) compared with the adenoma-carcinoma pathway (OR = 0.63, 95% CI = 0.55 to 0.73; P het =.04) and alternate pathway (OR = 0.61, 95% CI = 0.51 to 0.72). Additionally, proximal colon tumors had a weaker association (OR = 0.71, 95% CI = 0.62 to 0.80) compared with rectal (OR = 0.54, 95% CI = 0.46 to 0.63) and distal colon (OR = 0.57, 95% CI = 0.49 to 0.66; P het =.01) tumors. CONCLUSIONS We observed a strong inverse association between HT use and overall CRC risk, which may predominantly reflect a benefit of HT use for tumors arising through the adenoma-carcinoma and alternate pathways as well as distal colon and rectal tumors.
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Affiliation(s)
- Julia D Labadie
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Barbara Banbury
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Efrat L Amtay
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sonja Bernd
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Yin Cao
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO, USA
- Alvin J. Siteman Cancer Center at Barnes-Jewish Hospital and Washington University School of Medicine, St Louis, MO, USA
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Dallas English
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai, Los Angeles, CA, USA
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Steven J Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain
| | - Neil Murphy
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Shuji Ogino
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Genetic Epidemiology Laboratory, Department of Clinical Pathology, University of Melbourne, Melbourne, Victoria, Australia
| | - Wei Sun
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stephen N Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden; Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Syed H Zaidi
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
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45
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Choi YH, Lakhal-Chaieb L, Kröl A, Yu B, Buchanan D, Ahnen D, Le Marchand L, Newcomb PA, Win AK, Jenkins M, Lindor NM, Briollais L. Risks of Colorectal Cancer and Cancer-Related Mortality in Familial Colorectal Cancer Type X and Lynch Syndrome Families. J Natl Cancer Inst 2020; 111:675-683. [PMID: 30380125 DOI: 10.1093/jnci/djy159] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 06/15/2018] [Accepted: 08/14/2018] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The risk of cancers is well characterized in Lynch syndrome (LS) families but has been less studied in familial colorectal cancer type X (FCCTX) families. METHODS In this article, we compare the risk estimates of first and second colorectal cancers (CRCs) in 168 FCTTX and 780 LS families recruited through the Colon Cancer Family Registry as well as the risk of cancer-related deaths and disease-free survival (DFS) after a first CRC. Our methodology is based on a survival analysis approach, developed specifically to model the occurrence of successive cancers (ie, first and second CRCs) in the presence of competing risk events (ie, death from any causes). RESULTS We found an excess risk of first and second CRC in individuals with LS compared to FCCTX family members. However, for an average age at first CRC of 60 years in FCCTX families and 50 years in LS families, the DFS rates were comparable in men but lower in women from FCCTX vs LS families, eg , 75.1% (95% confidence interval [CI] = 69.0% to 80.9%) vs 78.9% (95% CI = 76.3% to 81.3%) for the 10-year DFS. The 10-year risk of cancer-related death was higher in FCCTX families vs LS families, eg, 15.4% in men (95% CI = 10.9% to 19.8%) and 19.3% in women (95% CI = 13.6% to 24.7%) vs 8.9% (95% CI = 7.5% to 11.4%) and 8.7% (95% CI = 7.1% to 10.8%), respectively. CONCLUSIONS Individuals with CRCs arising in the context of FCCTX do not experience the same improved DFS and overall survival of those with LS, and that difference may be relevant in management decisions.
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Affiliation(s)
- Yun-Hee Choi
- Department of Epidemiology and Biostatistics, Western University, London, ON, Canada
| | - Lajmi Lakhal-Chaieb
- Department of Mathematics and Statistics, Laval University, Québec, QC, Canada
| | - Agnieszka Kröl
- Prosserman Centre for Health Research, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada
| | - Bing Yu
- Department of Epidemiology and Biostatistics, Western University, London, ON, Canada
| | - Daniel Buchanan
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Dennis Ahnen
- Division of Gastroenterology, Faculty of Medicine, University of Colorado, Aurora, CO
| | - Loic Le Marchand
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, HI
| | - Polly A Newcomb
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Mark Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | | | - Laurent Briollais
- Prosserman Centre for Health Research, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada.,Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
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46
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Gemechu SD, van Vliet CM, Win AK, Figueiredo JC, Le Marchand L, Gallinger S, Newcomb PA, Hopper JL, Lindor NM, Jenkins MA, Dowty JG. Do the risks of Lynch syndrome-related cancers depend on the parent of origin of the mutation? Fam Cancer 2020; 19:215-222. [PMID: 32107660 PMCID: PMC7410789 DOI: 10.1007/s10689-020-00167-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 02/19/2020] [Indexed: 01/07/2023]
Abstract
Individuals who carry pathogenic mutations in DNA mismatch repair (MMR) genes have high risks of cancer, and small studies have suggested that these risks depend on the sex of the parent from whom the mutation was inherited. We have conducted the first large study of such a parent-of-origin effect (POE). Our study was based on all MMR gene mutation carriers and their relatives in the Colon Cancer Family Registry, comprising 18,226 people. The POE was estimated as a hazard ratio (HR) using a segregation analysis approach that adjusted for ascertainment. HR = 1 corresponds to no POE and HR > 1 corresponds to higher risks for maternal mutations. For all MMR genes combined, the estimated POE HRs were 1.02 (95% confidence interval (CI) 0.75-1.39, p = 0.9) for male colorectal cancer, 1.12 (95% CI 0.81-1.54, p = 0.5) for female colorectal cancer and 0.84 (95% CI 0.52-1.36, p = 0.5) for endometrial cancer. Separate results for each MMR gene were similar. Therefore, despite being well-powered, our study did not find any evidence that cancer risks for MMR gene mutation carriers depend on the parent-of-origin of the mutation. Based on current evidence, we do not recommend that POEs be incorporated into the clinical guidelines or advice for such carriers.
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Affiliation(s)
- Shimelis Dejene Gemechu
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - Christine M van Vliet
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
- Victorian Comprehensive Cancer Centre, University of Melbourne Centre for Cancer Research, Parkville, VIC, Australia
- Genetic Medicine, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Jane C Figueiredo
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Steven Gallinger
- Mount Sinai Hospital, Lunenfeld Tanenbaum Research Institute, University of Toronto, Toronto, ON, Canada
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- School of Public Health, University of Washington, Seattle, WA, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
| | - Noralane M Lindor
- Department of Health Science Research, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia
- Victorian Comprehensive Cancer Centre, University of Melbourne Centre for Cancer Research, Parkville, VIC, Australia
| | - James G Dowty
- Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia.
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47
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Iwamoto K, Takahashi H, Okuzaki D, Osawa H, Ogino T, Miyoshi N, Uemura M, Matsuda C, Yamamoto H, Mizushima T, Mori M, Doki Y, Eguchi H. Syntenin-1 promotes colorectal cancer stem cell expansion and chemoresistance by regulating prostaglandin E2 receptor. Br J Cancer 2020; 123:955-964. [PMID: 32595209 PMCID: PMC7492211 DOI: 10.1038/s41416-020-0965-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 04/30/2020] [Accepted: 06/12/2020] [Indexed: 11/17/2022] Open
Abstract
Background The protein syntenin-1 is expressed by a variety of cell types, and is upregulated in various malignancies, including melanoma, breast cancer and glioma. Although the mechanism by which elevated syntenin-1 expression contributes to cancer has been described, the exact pathway has not been elucidated. Methods To investigate the involvement of syntenin-1 in colorectal cancer (CRC), we performed immunohistochemical analysis of 139 CRC surgical specimens. We also examined syntenin-1 knockdown in CRC cell lines. Results High syntenin-1 expression was associated with less differentiated histologic grade and poor prognosis, and was an independent prognostic indicator in CRC. Syntenin-1 knockdown in CRC cells reduced the presence of cancer stem cells (CSCs), oxaliplatin chemoresistance and migration. DNA microarray analysis and quantitative real-time polymerase chain reaction showed decreased prostaglandin E2 receptor 2 (PTGER2) expression in syntenin-1-knockdown cells. PTGER2 knockdown in CRC cells yielded the same phenotype as syntenin-1 knockdown. Celecoxib, which has anti-inflammatory effects by targeting cyclooxygenase-2, reduced CSCs and decreased chemoresistance, while prostaglandin E2 (PGE2) had the opposite effect. Conclusions Our findings suggested that syntenin-1 enhanced CSC expansion, oxaliplatin chemoresistance and migration capability through regulation of PTGER2 expression. Syntenin-1 may be a promising new prognostic factor and target for anti-cancer therapies.
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Affiliation(s)
- Kazuya Iwamoto
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Hidekazu Takahashi
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Osaka, Japan.
| | - Daisuke Okuzaki
- Department of Molecular Genetics, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
| | - Hideo Osawa
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Takayuki Ogino
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Norikatsu Miyoshi
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Mamoru Uemura
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Chu Matsuda
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Hirofumi Yamamoto
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Tsunekazu Mizushima
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Masaki Mori
- Department of Surgery and Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Yuichiro Doki
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Hidetoshi Eguchi
- Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Osaka, Japan
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48
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Phipps AI, Alwers E, Harrison T, Banbury B, Brenner H, Campbell PT, Chang-Claude J, Buchanan D, Chan AT, Farris AB, Figueiredo JC, Gallinger S, Giles GG, Jenkins M, Milne RL, Newcomb PA, Slattery ML, Song M, Ogino S, Zaidi SH, Hoffmeister M, Peters U. Association Between Molecular Subtypes of Colorectal Tumors and Patient Survival, Based on Pooled Analysis of 7 International Studies. Gastroenterology 2020; 158:2158-2168.e4. [PMID: 32088204 PMCID: PMC7282955 DOI: 10.1053/j.gastro.2020.02.029] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 01/31/2020] [Accepted: 02/12/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND AND AIMS The heterogeneity among colorectal tumors is probably due to differences in developmental pathways and might associate with patient survival times. We studied the relationship among markers of different subtypes of colorectal tumors and patient survival. METHODS We pooled data from 7 observational studies, comprising 5010 patients with colorectal cancer. All the studies collected information on microsatellite instability (MSI), CpG island methylator phenotype (CIMP), and mutations in KRAS and BRAF in tumors. Tumors with complete marker data were classified as type 1 (MSI-high, CIMP-positive, with pathogenic mutations in BRAF but not KRAS), type 2 (not MSI-high, CIMP-positive, with pathogenic mutations in BRAF but not KRAS), type 3 (not MSI-high or CIMP, with pathogenic mutations in KRAS but not BRAF), type 4 (not MSI-high or CIMP, no pathogenic mutations in BRAF or KRAS), or type 5 (MSI-high, no CIMP, no pathogenic mutations in BRAF or KRAS). We used Cox regression to estimate hazard ratios (HR) and 95% confidence intervals (CIs) for associations of these subtypes and tumor markers with disease-specific survival (DSS) and overall survival times, adjusting for age, sex, stage at diagnosis, and study population. RESULTS Patients with type 2 colorectal tumors had significantly shorter time of DSS than patients with type 4 tumors (HRDSS 1.66; 95% CI 1.33-2.07), regardless of sex, age, or stage at diagnosis. Patients without MSI-high tumors had significantly shorter time of DSS compared with patients with MSI-high tumors (HRDSS 0.42; 95% CI 0.27-0.64), regardless of other tumor markers or stage, or patient sex or age. CONCLUSIONS In a pooled analysis of data from 7 observational studies of patients with colorectal cancer, we found that tumor subtypes, defined by combinations of 4 common tumor markers, were associated with differences in survival time. Colorectal tumor subtypes might therefore be used in determining patients' prognoses.
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Affiliation(s)
- Amanda I. Phipps
- Epidemiology Department, University of Washington, Seattle, WA,Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Elizabeth Alwers
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tabitha Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Barbara Banbury
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany,Division of Preventive Oncology, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), Heidelberg, Germany,German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) Heidelberg, Germany
| | - Peter T. Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany,Cancer Epidemiology Group, University Medical Center Hamburg-Eppendorf, University Cancer Center Hamburg, Hamburg, Germany
| | - Daniel Buchanan
- Department of Clinical Pathology, Colorectal Oncogenomics Group, The University of Melbourne, Parkville, Victoria, Australia
| | - Andrew T. Chan
- Clinical and Translational Epidemiology Unit, Department of Medicine, and Division of Gastroenterology, Massachusetts General Hospital, Boston, MA,Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | | | - Jane C. Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Graham G. Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Mark Jenkins
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Roger L. Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Polly A. Newcomb
- Epidemiology Department, University of Washington, Seattle, WA,Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Mingyang Song
- Clinical and Translational Epidemiology Unit, Department of Medicine, and Division of Gastroenterology, Massachusetts General Hospital, Boston, MA,Departments of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Shuji Ogino
- Departments of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA,Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA,Broad Institute of MIT and Harvard, Cambridge, MA
| | - Syed H. Zaidi
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ulrike Peters
- Epidemiology Department, University of Washington, Seattle, WA,Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
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49
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Gupta S, Bharti B, Ahnen DJ, Buchanan DD, Cheng IC, Cotterchio M, Figueiredo JC, Gallinger SJ, Haile RW, Jenkins MA, Lindor NM, Macrae FA, Le Marchand L, Newcomb PA, Thibodeau SN, Win AK, Martinez ME. Potential impact of family history-based screening guidelines on the detection of early-onset colorectal cancer. Cancer 2020; 126:3013-3020. [PMID: 32307706 DOI: 10.1002/cncr.32851] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Revised: 02/04/2020] [Accepted: 02/06/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND Initiating screening at an earlier age based on cancer family history is one of the primary recommended strategies for the prevention and detection of early-onset colorectal cancer (EOCRC), but data supporting the effectiveness of this approach are limited. The authors assessed the performance of family history-based guidelines for identifying individuals with EOCRC. METHODS The authors conducted a population-based, case-control study of individuals aged 40 to 49 years with (2473 individuals) and without (772 individuals) incident CRC in the Colon Cancer Family Registry from 1998 through 2007. They estimated the sensitivity and specificity of family history-based criteria jointly recommended by the American Cancer Society, the US Multi-Society Task Force on CRC, and the American College of Radiology in 2008 for early screening, and the age at which each participant could have been recommended screening initiation if these criteria had been applied. RESULTS Family history-based early screening criteria were met by approximately 25% of cases (614 of 2473 cases) and 10% of controls (74 of 772 controls), with a sensitivity of 25% and a specificity of 90% for identifying EOCRC cases aged 40 to 49 years. Among 614 individuals meeting early screening criteria, 98.4% could have been recommended screening initiation at an age younger than the observed age of diagnosis. CONCLUSIONS Of CRC cases aged 40 to 49 years, 1 in 4 met family history-based early screening criteria, and nearly all cases who met these criteria could have had CRC diagnosed earlier (or possibly even prevented) if earlier screening had been implemented as per family history-based guidelines. Additional strategies are needed to improve the detection and prevention of EOCRC for individuals not meeting family history criteria for early screening.
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Affiliation(s)
- Samir Gupta
- Section of Gastroenterology, San Diego Veterans Affairs Healthcare System, San Diego, California.,Department of Medicine, University of California at San Diego, La Jolla, California.,Moores Cancer Center, University of California at San Diego, La Jolla, California
| | - Balambal Bharti
- Department of Medicine, University of California at San Diego, La Jolla, California.,Moores Cancer Center, University of California at San Diego, La Jolla, California
| | - Dennis J Ahnen
- Department of Medicine, Division of Gastroenterology & Hepatology, University of Colorado Anschutz Medical Center, Aurora, Colorado.,Gastroenterology of the Rockies, Boulder, Colorado
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia.,University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia.,Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Iona C Cheng
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California
| | - Michelle Cotterchio
- Prevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | | | - Robert W Haile
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Mark A Jenkins
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia.,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Noralane M Lindor
- Department of Health Sciences Research, Mayo Clinic, Scottsdale, Arizona
| | - Finlay A Macrae
- Colorectal Medicine and Genetics, Department of Medicine, University of Melbourne, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Loïc Le Marchand
- Epidemiology Program, Research Cancer Center of Hawaii, University of Hawaii, Honolulu, Hawaii
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Stephen N Thibodeau
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Aung Ko Win
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia.,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Maria Elena Martinez
- Moores Cancer Center, University of California at San Diego, La Jolla, California.,Department of Family Medicine and Public Health, University of California at San Diego, La Jolla, California
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50
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Khankari NK, Banbury BL, Borges MC, Haycock P, Albanes D, Arndt V, Berndt SI, Bézieau S, Brenner H, Campbell PT, Casey G, Chan AT, Chang-Claude J, Conti DV, Cotterchio M, English DR, Figueiredo JC, Giles GG, Giovannucci EL, Gunter MJ, Hampe J, Hoffmeister M, Hopper JL, Jenkins MA, Joshi AD, Marchand LL, Lemire M, Li CI, Li L, Lindblom A, Martín V, Moreno V, Newcomb PA, Offit K, Pharoah PDP, Rennert G, Sakoda LC, Schafmayer C, Schmit SL, Slattery ML, Song M, Thibodeau SN, Ulrich CM, Weinstein SJ, White E, Win AK, Wolk A, Woods MO, Wu AH, Cai Q, Denny JC, Edwards TL, Murff HJ, Gruber SB, Peters U, Zheng W. Mendelian Randomization of Circulating Polyunsaturated Fatty Acids and Colorectal Cancer Risk. Cancer Epidemiol Biomarkers Prev 2020; 29:860-870. [PMID: 32051193 PMCID: PMC7125012 DOI: 10.1158/1055-9965.epi-19-0891] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 10/03/2019] [Accepted: 01/23/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Results from epidemiologic studies examining polyunsaturated fatty acids (PUFA) and colorectal cancer risk are inconsistent. Mendelian randomization may strengthen causal inference from observational studies. Given their shared metabolic pathway, examining the combined effects of aspirin/NSAID use with PUFAs could help elucidate an association between PUFAs and colorectal cancer risk. METHODS Information was leveraged from genome-wide association studies (GWAS) regarding PUFA-associated SNPs to create weighted genetic scores (wGS) representing genetically predicted circulating blood PUFAs for 11,016 non-Hispanic white colorectal cancer cases and 13,732 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). Associations per SD increase in the wGS were estimated using unconditional logistic regression. Interactions between PUFA wGSs and aspirin/NSAID use on colorectal cancer risk were also examined. RESULTS Modest colorectal cancer risk reductions were observed per SD increase in circulating linoleic acid [ORLA = 0.96; 95% confidence interval (CI) = 0.93-0.98; P = 5.2 × 10-4] and α-linolenic acid (ORALA = 0.95; 95% CI = 0.92-0.97; P = 5.4 × 10-5), whereas modest increased risks were observed for arachidonic (ORAA = 1.06; 95% CI = 1.03-1.08; P = 3.3 × 10-5), eicosapentaenoic (OREPA = 1.04; 95% CI = 1.01-1.07; P = 2.5 × 10-3), and docosapentaenoic acids (ORDPA = 1.03; 95% CI = 1.01-1.06; P = 1.2 × 10-2). Each of these effects was stronger among aspirin/NSAID nonusers in the stratified analyses. CONCLUSIONS Our study suggests that higher circulating shorter-chain PUFAs (i.e., LA and ALA) were associated with reduced colorectal cancer risk, whereas longer-chain PUFAs (i.e., AA, EPA, and DPA) were associated with an increased colorectal cancer risk. IMPACT The interaction of PUFAs with aspirin/NSAID use indicates a shared colorectal cancer inflammatory pathway. Future research should continue to improve PUFA genetic instruments to elucidate the independent effects of PUFAs on colorectal cancer.
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Affiliation(s)
- Nikhil K Khankari
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
| | - Barbara L Banbury
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Maria C Borges
- Medical Research Council (MRC) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Philip Haycock
- Medical Research Council (MRC) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Jenny Chang-Claude
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David V Conti
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Michelle Cotterchio
- Prevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada
| | - Dallas R English
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Jane C Figueiredo
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Edward L Giovannucci
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Jochen Hampe
- Department of Medicine, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Amit D Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | | | - Mathieu Lemire
- PanCuRx Translational Research Initiative, Ontario, Institute for Cancer Research, Toronto, Ontario, Canada
| | - Christopher I Li
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, Virginia
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Vicente Martín
- Área de Medicina Preventiva y Salud Publica, Universidad de León, León, Spain
| | - Victor Moreno
- Cancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health and Community Medicine, Seattle, Washington
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Clemens Schafmayer
- Department of General and Thoracic Surgery, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Stephanie L Schmit
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Martha L Slattery
- Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, Utah
| | - Mingyang Song
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Stephen N Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | | | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health and Community Medicine, Seattle, Washington
| | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael O Woods
- Discipline of Genetics, Memorial University of Newfoundland, St. John's, Newfoundland, Canada
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Joshua C Denny
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Todd L Edwards
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Harvey J Murff
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Stephen B Gruber
- Department of Medical Oncology, City of Hope National Medical Center, Duarte, California
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, University of Washington School of Public Health and Community Medicine, Seattle, Washington
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
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