1
|
Huang X, Sun Y, Song J, Huang Y, Shi H, Qian A, Cao Y, Zhou Y, Wang Q. Prognostic value of fatty acid metabolism-related genes in colorectal cancer and their potential implications for immunotherapy. Front Immunol 2023; 14:1301452. [PMID: 38045683 PMCID: PMC10693327 DOI: 10.3389/fimmu.2023.1301452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 10/31/2023] [Indexed: 12/05/2023] Open
Abstract
Introduction Colorectal cancer is one of the most common gastrointestinal cancers and the second leading cause of cancer-related death. Although colonoscopy screening has greatly improved the early diagnosis of colorectal cancer, its recurrence and metastasis are still significant problems. Tumour cells usually have the hallmark of metabolic reprogramming, while fatty acids play important roles in energy storage, cell membrane synthesis, and signal transduction. Many pathways of fatty acid metabolism (FAM) are involved in the occurrence and development of colon cancer, and the complex molecular interaction network contains a variety of genes encoding key enzymes and related products. Methods Clinical information and RNA sequencing data were collected from TCGA and GEO databases. The prognosis model of colon cancer was constructed by LASSO-Cox regression analysis among the selected fatty acid metabolism genes with differential expression. Nomogram for the prognosis model was also constructed in order to analyze its value in evaluating the survival and clinical stage of the colon cancer patients. The differential expression of the selected genes was verified by qPCR and immunohistochemistry. GSEA and GSVA were used to analyze the enrichment pathways for high- and low-risk groups. CIBERSORT was used to analyze the immune microenvironment of colon cancer and to compare the infiltration of immune cells in the high- and low-risk groups. The "circlize" package was used to explore the correlation between the risk score signature and immunotherapy for colon cancer. Results We analysed the differential expression of 704 FAM-related genes between colon tumour and normal tissue and screened 10 genes with prognostic value. Subsequently, we constructed a prognostic model for colon cancer based on eight optimal FAM genes through LASSO Cox regression analysis in the TCGA-COAD dataset, and its practicality was validated in the GSE39582 dataset. Moreover, the risk score calculated based on the prognostic model was validated as an independent prognostic factor for colon cancer patients. We further constructed a nomogram composed of the risk score signature, age and American Joint Committee on Cancer (AJCC) stage for clinical application. The colon cancer cohort was divided into high- and low-risk groups according to the optimal cut-off value, and different enrichment pathways and immune microenvironments were depicted in the groups. Discussion Since the risk score signature was significantly correlated with the expression of immune checkpoint molecules, the prognostic model might be able to predict the immunotherapy response of colon cancer patients. In summary, our findings expand the prognostic value of FAM-related genes in colon cancer and provide evidence for their application in guiding immunotherapy.
Collapse
Affiliation(s)
- Xi Huang
- Department of Laboratory Medicine, Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China, College of Health Sciences and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Yiwen Sun
- School of Public Health, The University of Sydney Faculty of Medicine and Health, NSW, Sydney, Australia
| | - Jia Song
- Department of Laboratory Medicine, Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China, College of Health Sciences and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yusong Huang
- Department of Cardiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huizhong Shi
- Department of Cardiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Aihua Qian
- Department of Laboratory Medicine, Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China, College of Health Sciences and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuncan Cao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Youci Zhou
- Department of Laboratory Medicine, Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China, College of Health Sciences and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qijun Wang
- Department of Laboratory Medicine, Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China, College of Health Sciences and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| |
Collapse
|
2
|
Peduzzi G, Archibugi L, Katzke V, Gentiluomo M, Capurso G, Milanetto AC, Gazouli M, Goetz M, Brenner H, Vermeulen RCH, Talar-Wojnarowska R, Vanella G, Tavano F, Lucchesi M, Mohelnikova-Duchonova B, Chen X, Kiudelis V, Hegyi P, Oliverius M, Stocker H, Stornello C, Vodickova L, Souček P, Neoptolemos JP, Testoni SGG, Morelli L, Lawlor RT, Basso D, Izbicki JR, Ermini S, Kupcinskas J, Pezzilli R, Boggi U, van Laarhoven HWM, Szentesi A, Erőss B, Capretti G, Schöttker B, Skieceviciene J, Aoki MN, van Eijck CHJ, Cavestro GM, Canzian F, Campa D. Common variability in oestrogen-related genes and pancreatic ductal adenocarcinoma risk in women. Sci Rep 2022; 12:18100. [PMID: 36302831 PMCID: PMC9613634 DOI: 10.1038/s41598-022-22973-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 10/21/2022] [Indexed: 12/30/2022] Open
Abstract
The incidence of pancreatic ductal adenocarcinoma (PDAC) is different among males and females. This disparity cannot be fully explained by the difference in terms of exposure to known risk factors; therefore, the lower incidence in women could be attributed to sex-specific hormones. A two-phase association study was conducted in 12,387 female subjects (5436 PDAC cases and 6951 controls) to assess the effect on risk of developing PDAC of single nucleotide polymorphisms (SNPs) in 208 genes involved in oestrogen and pregnenolone biosynthesis and oestrogen-mediated signalling. In the discovery phase 14 polymorphisms showed a statistically significant association (P < 0.05). In the replication none of the findings were validated. In addition, a gene-based analysis was performed on the 208 selected genes. Four genes (NR5A2, MED1, NCOA2 and RUNX1) were associated with PDAC risk, but only NR5A2 showed an association (P = 4.08 × 10-5) below the Bonferroni-corrected threshold of statistical significance. In conclusion, despite differences in incidence between males and females, our study did not identify an effect of common polymorphisms in the oestrogen and pregnenolone pathways in relation to PDAC susceptibility. However, we validated the previously reported association between NR5A2 gene variants and PDAC risk.
Collapse
Affiliation(s)
- Giulia Peduzzi
- grid.5395.a0000 0004 1757 3729Department of Biology, University of Pisa, 56126 Pisa, Italy
| | - Livia Archibugi
- grid.415230.10000 0004 1757 123XDigestive and Liver Disease Unit, Sant’Andrea Hospital, Rome, Italy ,grid.18887.3e0000000417581884Pancreato-Biliary Endoscopy and Endoscopic Ultrasound, Pancreas Translational and Clinical Research Center, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - Verena Katzke
- grid.7497.d0000 0004 0492 0584Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Manuel Gentiluomo
- grid.5395.a0000 0004 1757 3729Department of Biology, University of Pisa, 56126 Pisa, Italy
| | - Gabriele Capurso
- grid.415230.10000 0004 1757 123XDigestive and Liver Disease Unit, Sant’Andrea Hospital, Rome, Italy ,grid.18887.3e0000000417581884Pancreato-Biliary Endoscopy and Endoscopic Ultrasound, Pancreas Translational and Clinical Research Center, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | | | - Maria Gazouli
- grid.5216.00000 0001 2155 0800Laboratory of Biology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Mara Goetz
- grid.13648.380000 0001 2180 3484Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Hermann Brenner
- grid.7497.d0000 0004 0492 0584Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Renata Talar-Wojnarowska
- grid.8267.b0000 0001 2165 3025Department of Digestive Tract Diseases, Medical University of Lodz, Lodz, Poland
| | - Giuseppe Vanella
- grid.415230.10000 0004 1757 123XDigestive and Liver Disease Unit, Sant’Andrea Hospital, Rome, Italy ,grid.18887.3e0000000417581884Pancreato-Biliary Endoscopy and Endoscopic Ultrasound, Pancreas Translational and Clinical Research Center, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - Francesca Tavano
- grid.413503.00000 0004 1757 9135Division of Gastroenterology and Research Laboratory, Fondazione IRCCS “Casa Sollievo Della Sofferenza” Hospital, San Giovanni Rotondo, Italy
| | - Maurizio Lucchesi
- Oncology of Massa Carrara, Oncological Department, Azienda USL Toscana Nord Ovest, Carrara, Italy
| | - Beatrice Mohelnikova-Duchonova
- grid.10979.360000 0001 1245 3953Department of Oncology, Faculty of Medicine and Dentistry, Palacký University, Olomouc, Czech Republic
| | - Xuechen Chen
- grid.7497.d0000 0004 0492 0584Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Vytautas Kiudelis
- grid.45083.3a0000 0004 0432 6841Gastroenterology Department and Institute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Péter Hegyi
- grid.9679.10000 0001 0663 9479Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary ,grid.11804.3c0000 0001 0942 9821Centre for Translational Medicine, Semmelweis University, Budapest, Hungary ,grid.11804.3c0000 0001 0942 9821Division of Pancreatic Diseases, Heart and Vascular Center, Semmelweis University, Budapest, Hungary ,grid.9679.10000 0001 0663 9479János Szentágothai Research Center, University of Pécs, Pécs, Hungary
| | - Martin Oliverius
- grid.4491.80000 0004 1937 116XSurgery Clinic Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Hannah Stocker
- grid.7497.d0000 0004 0492 0584Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
| | - Caterina Stornello
- grid.415230.10000 0004 1757 123XDigestive and Liver Disease Unit, Sant’Andrea Hospital, Rome, Italy ,grid.18887.3e0000000417581884Pancreato-Biliary Endoscopy and Endoscopic Ultrasound, Pancreas Translational and Clinical Research Center, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - Ludmila Vodickova
- grid.424967.a0000 0004 0404 6946Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic ,grid.4491.80000 0004 1937 116XFirst Faculty of Medicine, Institute of Biology and Medical Genetics, Charles University, Prague, Czech Republic ,grid.4491.80000 0004 1937 116XBiomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Pavel Souček
- grid.4491.80000 0004 1937 116XBiomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - John P. Neoptolemos
- grid.7700.00000 0001 2190 4373Department of General Surgery, University of Heidelberg, Heidelberg, Germany
| | - Sabrina Gloria Giulia Testoni
- grid.18887.3e0000000417581884Pancreato-Biliary Endoscopy and Endoscopic Ultrasound, Pancreas Translational and Clinical Research Center, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - Luca Morelli
- grid.5395.a0000 0004 1757 3729General Surgery, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Rita T. Lawlor
- grid.411475.20000 0004 1756 948XARC-NET, Centre for Applied Research on Cancer, University and Hospital Trust of Verona, Verona, Italy
| | - Daniela Basso
- grid.5608.b0000 0004 1757 3470Department DIMED-Laboratory Medicine, University of Padova, Padua, Italy
| | - Jakob R. Izbicki
- grid.13648.380000 0001 2180 3484Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Stefano Ermini
- grid.413181.e0000 0004 1757 8562Blood Transfusion Service, Azienda Ospedaliero-Universitaria Meyer, Florence, Italy
| | - Juozas Kupcinskas
- grid.45083.3a0000 0004 0432 6841Gastroenterology Department and Institute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | | | - Ugo Boggi
- grid.144189.10000 0004 1756 8209Division of General and Transplant Surgery, Pisa University Hospital, Pisa, Italy
| | - Hanneke W. M. van Laarhoven
- grid.7177.60000000084992262Department of Medical Oncology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands ,grid.16872.3a0000 0004 0435 165XCancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Andrea Szentesi
- grid.9679.10000 0001 0663 9479Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary ,grid.9679.10000 0001 0663 9479János Szentágothai Research Center, University of Pécs, Pécs, Hungary ,grid.9008.10000 0001 1016 9625Centre for Translational Medicine, Department of Medicine, University of Szeged, Szeged, Hungary
| | - Bálint Erőss
- grid.9679.10000 0001 0663 9479Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary ,grid.11804.3c0000 0001 0942 9821Division of Pancreatic Diseases, Heart and Vascular Center, Semmelweis University, Budapest, Hungary ,grid.11804.3c0000 0001 0942 9821Center for Translational Medicine, Semmelweis University, Budapest, Hungary
| | - Giovanni Capretti
- grid.452490.eDepartment of Biomedical Sciences, Humanitas University, Milan, Italy ,grid.417728.f0000 0004 1756 8807Pancreatic Surgery Unit, IRCCS Humanitas Research Hospital, Milan, Italy
| | - Ben Schöttker
- grid.7497.d0000 0004 0492 0584Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jurgita Skieceviciene
- grid.45083.3a0000 0004 0432 6841Gastroenterology Department and Institute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Mateus Nóbrega Aoki
- grid.418068.30000 0001 0723 0931Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Curitiba, Brazil
| | - Casper H. J. van Eijck
- grid.5645.2000000040459992XDepartment of Surgery, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Giulia Martina Cavestro
- grid.15496.3f0000 0001 0439 0892Gastroenterology and Gastrointestinal Endoscopy Unit, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federico Canzian
- grid.7497.d0000 0004 0492 0584Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniele Campa
- grid.5395.a0000 0004 1757 3729Department of Biology, University of Pisa, 56126 Pisa, Italy
| |
Collapse
|
3
|
Tian Y, Kim AE, Bien SA, Lin Y, Qu C, Harrison TA, Carreras-Torres R, Díez-Obrero V, Dimou N, Drew DA, Hidaka A, Huyghe JR, Jordahl KM, Morrison J, Murphy N, Obón-Santacana M, Ulrich CM, Ose J, Peoples AR, Ruiz-Narvaez EA, Shcherbina A, Stern MC, Su YR, van Duijnhoven FJB, Arndt V, Baurley JW, Berndt SI, Bishop DT, Brenner H, Buchanan DD, Chan AT, Figueiredo JC, Gallinger S, Gruber SB, Harlid S, Hoffmeister M, Jenkins MA, Joshi AD, Keku TO, Larsson SC, Le Marchand L, Li L, Giles GG, Milne RL, Nan H, Nassir R, Ogino S, Budiarto A, Platz EA, Potter JD, Prentice RL, Rennert G, Sakoda LC, Schoen RE, Slattery ML, Thibodeau SN, Van Guelpen B, Visvanathan K, White E, Wolk A, Woods MO, Wu AH, Campbell PT, Casey G, Conti DV, Gunter MJ, Kundaje A, Lewinger JP, Moreno V, Newcomb PA, Pardamean B, Thomas DC, Tsilidis KK, Peters U, Gauderman WJ, Hsu L, Chang-Claude J. Genome-Wide Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk. J Natl Cancer Inst 2022; 114:1135-1148. [PMID: 35512400 PMCID: PMC9360460 DOI: 10.1093/jnci/djac094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 02/17/2022] [Accepted: 04/26/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND The use of menopausal hormone therapy (MHT) may interact with genetic variants to influence colorectal cancer (CRC) risk. METHODS We conducted a genome-wide, gene-environment interaction between single nucleotide polymorphisms and the use of any MHT, estrogen only, and combined estrogen-progestogen therapy with CRC risk, among 28 486 postmenopausal women (11 519 CRC patients and 16 967 participants without CRC) from 38 studies, using logistic regression, 2-step method, and 2- or 3-degree-of-freedom joint test. A set-based score test was applied for rare genetic variants. RESULTS The use of any MHT, estrogen only and estrogen-progestogen were associated with a reduced CRC risk (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.64 to 0.78; OR = 0.65, 95% CI = 0.53 to 0.79; and OR = 0.73, 95% CI = 0.59 to 0.90, respectively). The 2-step method identified a statistically significant interaction between a GRIN2B variant rs117868593 and MHT use, whereby MHT-associated CRC risk was statistically significantly reduced in women with the GG genotype (OR = 0.68, 95% CI = 0.64 to 0.72) but not within strata of GC or CC genotypes. A statistically significant interaction between a DCBLD1 intronic variant at 6q22.1 (rs10782186) and MHT use was identified by the 2-degree-of-freedom joint test. The MHT-associated CRC risk was reduced with increasing number of rs10782186-C alleles, showing odds ratios of 0.78 (95% CI = 0.70 to 0.87) for TT, 0.68 (95% CI = 0.63 to 0.73) for TC, and 0.66 (95% CI = 0.60 to 0.74) for CC genotypes. In addition, 5 genes in rare variant analysis showed suggestive interactions with MHT (2-sided P < 1.2 × 10-4). CONCLUSION Genetic variants that modify the association between MHT and CRC risk were identified, offering new insights into pathways of CRC carcinogenesis and potential mechanisms involved.
Collapse
Affiliation(s)
- Yu Tian
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- School of Public Health, Capital Medical University, Beijing, China
| | - Andre E Kim
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Stephanie A Bien
- 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
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tabitha A Harrison
- 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
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Virginia Díez-Obrero
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - 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
| | - Akihisa Hidaka
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Kristina M Jordahl
- 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
| | - John Morrison
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Mireia Obón-Santacana
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Jennifer Ose
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Anita R Peoples
- Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Edward A Ruiz-Narvaez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Anna Shcherbina
- Biomedical Informatics Program, Department of Biomedical Data Sciences, Stanford University, Stanford, CA, USA
| | - Mariana C Stern
- Division of Biostatistics, Department of Population and Public Health Sciences & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | | | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - James W Baurley
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
- BioRealm LLC, Walnut, CA, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, 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
| | - 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, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - 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 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
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Population and Public Health Sciences, 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
- Division of Biostatistics, Department of Population and Public Health Sciences & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - 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
| | - Amit D Joshi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Susanna C Larsson
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | | | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA, USA
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The 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, Victoria, Australia
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The 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, Victoria, Australia
| | - Hongmei Nan
- Department of Global Health, Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
| | - Rami Nassir
- Department of Pathology, School of Medicine, Umm Al-Qura'a University, Mecca, Saudi Arabia
| | - Shuji Ogino
- 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
- 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
| | - Arif Budiarto
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 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
| | - Ross L Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, 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 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
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Emily White
- 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
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, NL,Canada
| | - Anna H Wu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Peter T Campbell
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - David V Conti
- Division of Biostatistics, Department of Population and Public Health Sciences & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Juan Pablo Lewinger
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Victor Moreno
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research 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 School of Public Health, Seattle, WA, USA
| | - Bens Pardamean
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Duncan C Thomas
- Division of Biostatistics, Department of Population and Public Health Sciences & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Konstantinos 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
| | - 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
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Cancer Centre Hamburg (UCCH), University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| |
Collapse
|
4
|
Feng Y, Peng Z, Liu W, Yang Z, Shang J, Cui L, Duan F. Evaluation of the epidemiological and prognosis significance of ESR2 rs3020450 polymorphism in ovarian cancer. Gene 2019; 710:316-323. [PMID: 31200086 DOI: 10.1016/j.gene.2019.06.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 06/05/2019] [Accepted: 06/10/2019] [Indexed: 12/15/2022]
Abstract
AIM To investigate the correlation between the polymorphism of estrogen receptor β gene (ESR2) rs3020450 and cancer susceptibility, and explore the epidemiological significance and the effect of ESR2 expression levels on the prognosis of ovarian cancer. METHODS Based on meta-analysis the association between ESR2 rs3020450 polymorphism and cancer susceptibility was estimated and a case-control design was used to verify this result in ovarian cancer. The epidemiological effect of ESR2 rs3020450 polymorphism was assessed by attributable risk percentage (ARP) and population attributable risk percentage (PARP). Kaplan Meier plotters were used to evaluate overall survival (OS) and progression-free survival (PFS) in ovarian cancer patients and GEPIA for the differential expression of ESR2 levels in ovarian cancer and adjacent normal tissues. RESULTS The pooled analysis indicated no significant correlation between the ESR2 rs3020450 polymorphism and the cancer susceptibility. In the stratified analysis by cancer types, significantly decreased risk was found in ovarian cancer (AG vs GG: OR = 0.73, 95%CI: 0.53-0.97, P = 0.03). Unconditional logistic regression results of case-control study in ovarian cancer observed significant differences in all comparisons (AG vs GG: OR = 0.81, 95%CI: 0.62-0.98, P = 0.04; AA vs GG: OR = 0.63, 95%CI: 0.42-0.92, P = 0.01 and AG + AA vs GG: OR = 0.73, 95%CI: 0.53-0.96, P < 0.001). Based on meta-analysis and case-control pooled results, ARP and PARP were evaluated respectively in allele (21.95% and7.97%), heterozygote (36.99% and 12.11%) and dominant model (36.84% and 12.97%) of rs3020450 polymorphism in ovarian cancer. The expression levels of ESR2 in normal tissues was significantly higher than that in cancer tissues (OV, Median, 4.7:0.21), and significant correlations were observed between high ESR2 expression levels and long OS (HR = 0.80, 95%CI: 0.70-0.92, P = 0.002) and PFS (HR = 0.767, 95%Cl: 0.67-0.88, P < 0.001). CONCLUSION Our results indicated that ESR2 rs3020450 polymorphism was associated with ovarian cancer risk from epidemiological perspective, and high ESR2 expression levels was associated with long survival in patients with ovarian cancer.
Collapse
Affiliation(s)
- Yajing Feng
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Department of Nosocomial Infection Management, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Zhen Peng
- Department of Infectious Disease, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, China
| | - Weigang Liu
- Medical Record Statistics Office, Affiliated Hospital of Hebei University of Engineering, Handan, Hebei, China
| | - Zhongyu Yang
- The Ohio State University College of Art and Science, Columbus, OH, USA
| | - Jia Shang
- Department of Infectious Disease, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, China
| | - Liuxin Cui
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
| | - Fujiao Duan
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Medical Research Office, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, Henan, China
| |
Collapse
|
5
|
Vagnini LD, Renzi A, Petersen B, Canas MDCT, Petersen CG, Mauri AL, Mattila MC, Ricci J, Dieamant F, Oliveira JBA, Baruffi RLR, Franco JG. Association between estrogen receptor 1 (ESR1) and leukemia inhibitory factor (LIF) polymorphisms can help in the prediction of recurrent implantation failure. Fertil Steril 2019; 111:527-534. [PMID: 30611552 DOI: 10.1016/j.fertnstert.2018.11.016] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2018] [Revised: 10/19/2018] [Accepted: 11/12/2018] [Indexed: 01/15/2023]
Abstract
OBJECTIVE To investigate an association between polymorphisms related to the implantation process that together could help in the prediction of recurrent implantation failure (RIF). DESIGN Cohort study. SETTING Private fertility center and reproductive genetics laboratory. PATIENT(S) Forty-four women presenting RIF, who were included in study group (RIF group), and two control groups, one with 63 women who were attended at our service and became pregnant after the first IVF/intracytoplasmic sperm injection attempt (control group I) and other with 65 fertile women who had at least two children without any treatment and no history of miscarriage (control group II). INTERVENTION(S) None. MAIN OUTCOME MEASURE(S) Genotyping was performed in the intron region of TP63, VEGFA, MMP2, ESR1, and ESR2 genes and in the 3' untranslated region of the LIF gene on genomic DNA using real-time polymerase chain reaction. RESULT(S) The presence of ESR1/AA (rs12199722) and LIF/GT (rs929271) genotypes was more frequent in the RIF group, leading to a 7.9-fold increase in the chance of women presenting with RIF when compared with women who became pregnant on their first cycle of IVF/intracytoplasmic sperm injection and a 2.8-fold increase when compared with women who became pregnant without treatment. CONCLUSION(S) The association between ESR1 and LIF polymorphisms can help in the prediction of RIF.
Collapse
Affiliation(s)
- Laura Diniz Vagnini
- Paulista Center for Diagnosis, Research and Training, Ribeirao Preto, Brazil.
| | - Adriana Renzi
- Paulista Center for Diagnosis, Research and Training, Ribeirao Preto, Brazil
| | - Bruna Petersen
- Paulista Center for Diagnosis, Research and Training, Ribeirao Preto, Brazil
| | | | - Claudia Guilhermino Petersen
- Paulista Center for Diagnosis, Research and Training, Ribeirao Preto, Brazil; Center for Human Reproduction Prof. Franco Jr, Ribeirão Preto, Brazil
| | - Ana Lucia Mauri
- Paulista Center for Diagnosis, Research and Training, Ribeirao Preto, Brazil; Center for Human Reproduction Prof. Franco Jr, Ribeirão Preto, Brazil
| | | | - Juliana Ricci
- Center for Human Reproduction Prof. Franco Jr, Ribeirão Preto, Brazil
| | - Felipe Dieamant
- Paulista Center for Diagnosis, Research and Training, Ribeirao Preto, Brazil; Center for Human Reproduction Prof. Franco Jr, Ribeirão Preto, Brazil
| | - João Batista Alcantara Oliveira
- Paulista Center for Diagnosis, Research and Training, Ribeirao Preto, Brazil; Center for Human Reproduction Prof. Franco Jr, Ribeirão Preto, Brazil
| | - Ricardo Luiz Razera Baruffi
- Paulista Center for Diagnosis, Research and Training, Ribeirao Preto, Brazil; Center for Human Reproduction Prof. Franco Jr, Ribeirão Preto, Brazil
| | - José Gonçalves Franco
- Paulista Center for Diagnosis, Research and Training, Ribeirao Preto, Brazil; Center for Human Reproduction Prof. Franco Jr, Ribeirão Preto, Brazil
| |
Collapse
|
6
|
Association of PvuII and XbaI polymorphisms on estrogen receptor alpha (ESR1) gene to changes into serum lipid profile of post-menopausal women: Effects of aging, body mass index and breast cancer incidence. PLoS One 2017; 12:e0169266. [PMID: 28199328 PMCID: PMC5310899 DOI: 10.1371/journal.pone.0169266] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Accepted: 12/14/2016] [Indexed: 11/21/2022] Open
Abstract
Estrogen is a steroidal hormone involved in several physiological functions in the female body including regulation of serum lipid metabolism and breast cancer (BC). Estrogen actions on serum lipids mostly occur through its binding to intracellular Estrogen Receptor alpha (ERalpha) isoform, expressed in most of tissues. This gene (ESR1) exhibit many polymorphic sites (SNPs) located either on translated and non-translated regions that regulate ERalpha protein expression and function. This paper aimed to investigate the association of two intronic SNPs of ESR1 gene, namely c454-397T>C (PvuII) and c454-351A>G (XbaI) to alterations in serum levels of total cholesterol (T-chol), total lipid (TL), low density lipoprotein cholesterol (LDL), high density lipoprotein (HDL), and triglycerides (TG) in a cohort of post-menopausal women. In addition, we aimed to associate presence of these SNPs to development of BC along 5 years period. To do so, a group of healthy 499, highly miscigenated, post-menopausal Brazilian women, were carried using PCR-FRLP technique and further confirmed by automatic sequence analysis as well followed through 5 years for BC incidence. Measurements of serum lipid profile by standard commercial methods were carried individually whereas Dual Energy X-ray Absorciometry (DXA) measured Body Mass Indexes (BMI), Fat Mass (FM), Lean Body Mass (LBM), and Body Water Content (BWC). No effects of PvuII SNP on ESR1 gene were observed on patient´s serum T-chol, TL, LDL, HDL, and TG. However, c454-397T>C PvuII SNP is associated to lower body fat and higher levels of lean mass and body water and lower incidence of BC. On the other hand, statistically significant effect of XbaI c454-351A>G SNP on serum TG and TL levels. Patients homozygous for X allele were followed up from 2010–2015. They showed higher incidence of breast cancer (BC) when compared to either heterozygous and any P allele combination. Moreover, the increasing of TG and TL serum concentrations associated to SNP XbaI c454-351A>G on ESR1 gene is enhanced in both obese (higher BMI) and elder women. Taken together, these results suggested that XbaI c454-351A>G SNP is associated to changes in lipid profile, particularly in serum TG and TL, in this cohort of post-menopausal woman. Also, this paper shows another link between obesity and BC corroborating the current thesis that both diseases are interlinked.
Collapse
|
7
|
Garcia-Albeniz X, Rudolph A, Hutter C, White E, Lin Y, Rosse SA, Figueiredo JC, Harrison TA, Jiao S, Brenner H, Casey G, Hudson TJ, Thornquist M, Le Marchand L, Potter J, Slattery ML, Zanke B, Baron JA, Caan BJ, Chanock SJ, Berndt SI, Stelling D, Fuchs CS, Hoffmeister M, Butterbach K, Du M, James Gauderman W, Gunter MJ, Lemire M, Ogino S, Lin J, Hayes RB, Haile RW, Schoen RE, Warnick GS, Jenkins MA, Thibodeau SN, Schumacher FR, Lindor NM, Kolonel LN, Hopper JL, Gong J, Seminara D, Pflugeisen BM, Ulrich CM, Qu C, Duggan D, Cotterchio M, Campbell PT, Carlson CS, Newcomb PA, Giovannucci E, Hsu L, Chan AT, Peters U, Chang-Claude J. CYP24A1 variant modifies the association between use of oestrogen plus progestogen therapy and colorectal cancer risk. Br J Cancer 2016; 114:221-9. [PMID: 26766742 PMCID: PMC4815813 DOI: 10.1038/bjc.2015.443] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Revised: 11/26/2015] [Accepted: 11/30/2015] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Menopausal hormone therapy (MHT) use has been consistently associated with a decreased risk of colorectal cancer (CRC) in women. Our aim was to use a genome-wide gene-environment interaction analysis to identify genetic modifiers of CRC risk associated with use of MHT. METHODS We included 10 835 postmenopausal women (5419 cases and 5416 controls) from 10 studies. We evaluated use of any MHT, oestrogen-only (E-only) and combined oestrogen-progestogen (E+P) hormone preparations. To test for multiplicative interactions, we applied the empirical Bayes (EB) test as well as the Wald test in conventional case-control logistic regression as primary tests. The Cocktail test was used as secondary test. RESULTS The EB test identified a significant interaction between rs964293 at 20q13.2/CYP24A1 and E+P (interaction OR (95% CIs)=0.61 (0.52-0.72), P=4.8 × 10(-9)). The secondary analysis also identified this interaction (Cocktail test OR=0.64 (0.52-0.78), P=1.2 × 10(-5) (alpha threshold=3.1 × 10(-4)). The ORs for association between E+P and CRC risk by rs964293 genotype were as follows: C/C, 0.96 (0.61-1.50); A/C, 0.61 (0.39-0.95) and A/A, 0.40 (0.22-0.73), respectively. CONCLUSIONS Our results indicate that rs964293 modifies the association between E+P and CRC risk. The variant is located near CYP24A1, which encodes an enzyme involved in vitamin D metabolism. This novel finding offers additional insight into downstream pathways of CRC etiopathogenesis.
Collapse
Affiliation(s)
- Xabier Garcia-Albeniz
- Department of Epidemiology, Harvard T.H., Chan School of Public Health, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Anja Rudolph
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Carolyn Hutter
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | - Stephanie A Rosse
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | - Jane C Figueiredo
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | - Shuo Jiao
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), 69120 Heidelberg, Germany
| | - Graham Casey
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Thomas J Hudson
- Ontario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada
| | - Mark Thornquist
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - John Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT 84132, USA
| | - Brent Zanke
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON K1Y 4E9, Canada
| | - John A Baron
- Division of Gastroenterology and Hepatology, University of North Carolina School of Medicine, Chapel Hill, NC 27599-7080, USA
| | - Bette J Caan
- Division of Research, Kaiser Permanente Medical Care Program, Oakland, CA 94612, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892-4608, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892-4608, USA
| | - Deanna Stelling
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | - Charles S Fuchs
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA 02215, USA
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA
- Department of Epidemiology, Harvard T.H., Chan School of Public Health, Boston, MA 02215, USA
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Katja Butterbach
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Mengmeng Du
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | - W James Gauderman
- Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Marc J Gunter
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Mathieu Lemire
- Ontario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada
| | - Shuji Ogino
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA 02215, USA
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA
- Department of Epidemiology, Harvard T.H., Chan School of Public Health, Boston, MA 02215, USA
| | - Jennifer Lin
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Richard B Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY 10016, USA
| | - Robert W Haile
- Department of Medicine, Stanford University, Stanford, CA 94304, USA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA 15213-2582, USA
| | - Greg S Warnick
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | - Mark A Jenkins
- Melbourne School of Population Health, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Stephen N Thibodeau
- Departments of Laboratory Medicine, Pathology and Laboratory Genetics, Mayo Clinic, Scottsdale, AZ 85259, USA
| | - Fredrick R Schumacher
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Noralane M Lindor
- Department of Health Sciences Research, Mayo Clinic, Scottsdale, AZ 85259, USA
| | - Laurence N Kolonel
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - John L Hopper
- Melbourne School of Population Health, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Jian Gong
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | - Daniela Seminara
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Bethann M Pflugeisen
- Department of Cancer Prevention, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
| | - Cornelia M Ulrich
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Department of Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Conghui Qu
- Department of Cancer Prevention, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
| | - David Duggan
- Translational Genomics Research Institute (Tgen), Phoenix, AZ 85004, USA
| | - Michelle Cotterchio
- Prevention and Cancer Control, Cancer Care Ontario, Toronto, ON M5G 2L7, Canada
| | - Peter T Campbell
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30303, USA
| | - Christopher S Carlson
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | - Edward Giovannucci
- Department of Epidemiology, Harvard T.H., Chan School of Public Health, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | - Andrew T Chan
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| |
Collapse
|
8
|
Sun H, Hou J, Shi W, Zhang L. Estrogen receptor 1 (ESR1) genetic variations in cancer risk: a systematic review and meta-analysis. Clin Res Hepatol Gastroenterol 2015; 39:127-35. [PMID: 25200861 DOI: 10.1016/j.clinre.2014.07.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2014] [Revised: 07/10/2014] [Accepted: 07/23/2014] [Indexed: 02/04/2023]
Abstract
BACKGROUND Emerging published data on the association between single nucleotide polymorphisms (SNPs) in the estrogen receptor 1 (ESR1) gene and cancer susceptibility are inconsistent. This review and meta-analysis is performed to derive a more precise evaluation of this relationship. METHODS The literature search of PubMed, Embase, Web of Science and CNKI databases was conducted from their inception through June 2014. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the association. RESULTS Twenty-two literatures were enrolled in this meta-analysis. The results indicated that ESR1 rs1801132 (C>G) was associated with cancer risk in Caucasian populations. However, the results of stratified analysis by cancer type and source of controls indicated that no significant association was found. Furthermore, rs2077647 (A>G) was only associated with an increased risk of hepatocellular carcinoma, but was an adverse effect on cancer risk in Caucasian populations. CONCLUSIONS This present meta-analysis indicated that rs1801132 (C>G) and rs2077647 (A>G) may be protective factors in Caucasian populations. Meanwhile, rs2077647 (A>G) may be closely related with hepatocellular carcinoma.
Collapse
Affiliation(s)
- Huiling Sun
- Department of Life Sciences, Nanjing Normal University, Nanjing 210046, Jiangsu, China
| | - Jinjun Hou
- Clinical Laboratory, Mother and Child Health Care Hospital of Qixia District, Nanjing, Nanjing 210028, Jiangsu, China; Clinical Laboratory, The North Branch of Nanjing Mother and Child Health Care Hospital, Nanjing 210004, Jiangsu, China.
| | - Wenbin Shi
- Clinical Laboratory, Nanjing Traditional Chinese Medical Hospital, Nanjing 210001, Jiangsu, China
| | - Lei Zhang
- Department of Orthopaedics, Lanxi People's Hospital, Jinhua, 321100 Zhejiang, China
| |
Collapse
|
9
|
Passarelli MN, Newcomb PA, Makar KW, Burnett-Hartman AN, Phipps AI, David SP, Hsu L, Harrison TA, Hutter CM, Duggan DJ, White E, Chan AT, Peters U. No association between germline variation in catechol-O-methyltransferase and colorectal cancer survival in postmenopausal women. Menopause 2014; 21:415-20. [PMID: 23880798 PMCID: PMC3865220 DOI: 10.1097/gme.0b013e31829e498d] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Sex steroid hormones play a role in colorectal cancer (CRC) development, but little is known about their influence on tumor progression and metastasis. Because catechol-O-methyltransferase (COMT; 22q11.21) activity is an important component of estrogen-mediated carcinogenesis, we hypothesized that germline variation in COMT may be associated with CRC survival. METHODS We identified 10 single nucleotide polymorphisms that tagged variation across two isoforms of COMT in 2,458 women with CRC from the Nurses' Health Study, Postmenopausal Hormones Supplementary Study to the Colon Cancer Family Registry, VITamins And Lifestyle Study, and Women's Health Initiative. All four studies participated in the Genetics and Epidemiology of Colorectal Cancer Consortium. RESULTS During a median follow-up of 7 years across all studies, there were 799 deaths, including 566 deaths from CRC. Based on multiple comparisons, no associations between single nucleotide polymorphisms and CRC-specific or overall survival reached statistical significance, including the well-characterized Val108/158Met polymorphism (rs4680; CRC-specific survival: hazard ratio per minor allele, 1.04; 95% CI, 0.92-1.17; overall survival: hazard ratio per minor allele, 1.01; 95% CI, 0.90-1.14). CONCLUSIONS In this large study of women with CRC, we find no evidence that common inherited variation in COMT is associated with survival time after diagnosis.
Collapse
Affiliation(s)
- Michael N. Passarelli
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Polly A. Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Karen W. Makar
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Amanda I. Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Sean P. David
- Division of General Medical Disciplines, Stanford University School of Medicine, Stanford, CA
- SRI International, Menlo Park, CA
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Biostatistics, University of Washington School of Public Health, Seattle, WA
| | - Tabitha A. Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Carolyn M. Hutter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - David J. Duggan
- Integrated Cancer Genomics Division, Translational Genomics Research Institute, Phoenix, AZ
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Andrew T. Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| |
Collapse
|
10
|
Foster PA. Oestrogen and colorectal cancer: mechanisms and controversies. Int J Colorectal Dis 2013; 28:737-49. [PMID: 23319136 DOI: 10.1007/s00384-012-1628-y] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/11/2012] [Indexed: 02/06/2023]
Abstract
AIM The role of oestrogen metabolism and action in colorectal cancer (CRC) is controversial. An extensive review of the current literature, encompassing epidemiological evidence, systemic and peripheral oestrogen concentrations, 17β-hydroxysteroid dehydrogenase (17β-HSD) and aromatase in CRC, steroid sulphatase (STS)/oestrone sulphotransferase (EST) and in vitro and in vivo genomic effects was therefore undertaken. METHODS A literature search (key words: colorectal cancer, oestrogen, oestrogen receptor, 17β-HSD, STS, organic anion transporter) was performed using Embase, Medline, and Pubmed and papers were evaluated on scientific relevance on an individual basis. RESULTS Epidemiological data highlights that premenopausal women, or postmenopausal women taking hormone replacement therapy, are significantly less likely than males to develop CRC. This implies that oestrogen signalling is most likely involved in CRC physiology and aetiology. Little is known about oestrogen metabolism in the colon. However, the expression of 17β-HSD, STS, and EST, enzymes involved in oestrogen metabolism, have shown prognostic significance. Evidence also suggests that protective effects are modulated through oestrogen receptor beta, although which metabolite of oestrogen, oestradiol (E2) or oestrone (E1), is more active remains undefined. To complicate matters, the changes in the peripheral ratios of these enzymes, oestrogens and receptors most likely influences CRC progression. CONCLUSION Epidemiological evidence, now supported by in vitro and in vivo studies, strongly associates oestrogen action and metabolism with CRC. Initially protective against CRC, once developed, results suggests that oestrogens increase proliferation. Consequently, hormone-ablation therapy, already successful against breast and prostate cancer, may be effective against CRC.
Collapse
Affiliation(s)
- Paul A Foster
- Centre for Endocrinology, Diabetes and Metabolism, School of Clinical and Experimental Medicine, University of Birmingham, Birmingham, B15 2TT, UK.
| |
Collapse
|
11
|
Passarelli MN, Phipps AI, Potter JD, Makar KW, Coghill AE, Wernli KJ, White E, Chan AT, Hutter CM, Peters U, Newcomb PA. Common single-nucleotide polymorphisms in the estrogen receptor β promoter are associated with colorectal cancer survival in postmenopausal women. Cancer Res 2013; 73:767-75. [PMID: 23149914 PMCID: PMC3588850 DOI: 10.1158/0008-5472.can-12-2484] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Loss of estrogen receptor β (ERβ) expression in the gut is associated with colorectal cancer (CRC) initiation and progression. Germline single-nucleotide polymorphisms (SNP) in genes for the sex-steroid hormone receptors are not strongly associated with CRC risk; however, these SNPs have not previously been evaluated in relation to survival after diagnosis. We enrolled 729 women, ages 50 to 74, diagnosed with invasive CRC between 1997 and 2002 in 13 counties covered by the Seattle-Puget Sound Surveillance Epidemiology and End Results cancer registry. Participants provided germline DNA. We selected 99 tag-SNPs for the androgen receptor (AR), ERα (ESR1), ERβ (ESR2), and progesterone receptor (PGR) genes. Mortality outcomes were ascertained from the National Death Index. During a median of 6.6 years of follow-up, 244 deaths occurred (161 from CRC). We identified 20 SNPs (12 of ESR2 and 8 of PGR) for replication in 1,729 women diagnosed with incident invasive CRC (555 deaths; 405 from CRC) from three prospective cohort studies that participate in the Genetics and Epidemiology of Colorectal Cancer Consortium. Three correlated SNPs in the promoter of ESR2 (rs2987983, rs3020443, and rs2978381) were statistically significant predictors of CRC-specific and overall survival. Minor alleles of each were associated with improved survival [for rs2987983, CRC-specific HR, 0.77; 95% confidence interval (CI), 0.60-0.99 in the initial study, and HR, 0.79; CI, 0.64-0.98 in replication]. No associations were noted for SNPs of AR, ESR1, or PGR. SNPs in the promoter of ESR2 may be important to pathways related to the association between ERβ and tumor progression and metastasis.
Collapse
Affiliation(s)
- Michael N. Passarelli
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Amanda I. Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - John D. Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
- Centre for Public Health Research, Massey University, Wellington, New Zealand
| | - Karen W. Makar
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Anna E. Coghill
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| | | | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Andrew T. Chan
- Gastrointestinal Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Carolyn M. Hutter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Polly A. Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| |
Collapse
|
12
|
Levine AJ, Ihenacho U, Lee W, Figueiredo JC, Vandenberg DJ, Edlund CK, Davis BD, Stern MC, Haile RW. Genetic variation in insulin pathway genes and distal colorectal adenoma risk. Int J Colorectal Dis 2012; 27:1587-95. [PMID: 22645077 DOI: 10.1007/s00384-012-1505-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/10/2012] [Indexed: 02/06/2023]
Abstract
BACKGROUND Insulin, glucose, and other insulin-related proteins that mediate insulin signaling are associated with colorectal neoplasia risk, but associations with common genetic variation in insulin axis genes are less clear. In this study, we used a comprehensive tag single-nucleotide polymorphisms (SNPs) approach to define genetic variation in six insulin axis genes (IGF1, IGF2, IGFBP1, IGFBP3, IRS1, and IRS2) and three genes associated with estrogen signaling (ESR1, ESR2, and PGR). METHODS We assessed associations between SNPs and distal colorectal adenoma (CRA) risk in a case-control study of 1,351 subjects. Cases were individuals with one or more adenomas diagnosed during sigmoidoscopy, and controls were individuals with no adenomas at the sigmoidoscopy exam. We used unconditional logistic regression assuming an additive model to assess SNP-specific risks adjusting for multiple comparisons with P (act). RESULTS Distal adenoma risk was significantly increased for one SNP in IGF2 [per minor allele OR = 1.41; 95 % confidence interval (CI) = 1.16, 1.67; P (act) = 0.005] and decreased for an ESR2 SNP (per minor allele OR = 0.78; 95 % CI = 0.66, 0.91; P (act) = 0.041). There was no statistically significant heterogeneity of these associations by race, sex, BMI, physical activity, or, in women, hormone replacement therapy use. Risk estimates did not differ in the colon versus rectum or for smaller (<1 cm) versus larger (>1 cm) adenomas. CONCLUSIONS These data suggest that selected genetic variability in IGF2 and ESR2 may be modifiers of CRA risk.
Collapse
Affiliation(s)
- A Joan Levine
- Department of Preventive Medicine, Genetic Epidemiology, University of Southern California Keck School of Medicine, NRT 1450 Biggy Street Room 1509A, Los Angeles, CA 90033, USA.
| | | | | | | | | | | | | | | | | |
Collapse
|
13
|
Lin JH, Manson JE, Kraft P, Cochrane BB, Gunter MJ, Chlebowski RT, Zhang SM. Estrogen and progesterone-related gene variants and colorectal cancer risk in women. BMC MEDICAL GENETICS 2011; 12:78. [PMID: 21627810 PMCID: PMC3125237 DOI: 10.1186/1471-2350-12-78] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/11/2011] [Accepted: 05/31/2011] [Indexed: 12/11/2022]
Abstract
Background Observational studies and randomized trials have suggested that estrogens and/or progesterone may lower the risk for colorectal cancer. Inherited variation in the sex-hormone genes may be one mechanism by which sex hormones affect colorectal cancer, although data are limited. Method We conducted a comprehensive evaluation of single nucleotide polymorphisms (SNPs) in genes encoding 3 hormone receptors (ESR1, ESR2, PGR) and 5 hormone synthesizers (CYP19A1 and CYP17A1, HSD17B1, HSD17B2, HSD17B4) among 427 women with incident colorectal cancer and 871 matched controls who were Caucasians of European ancestry from 93676 postmenopausal women enrolled in the Women's Health Initiative Observational cohort. A total of 242 haplotype-tagging and functional SNPs in the 8 genes were included for analysis. Unconditional logistic regression with adjustment for age and hysterectomy status was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Results We observed a weak association between the CYP17A1 rs17724534 SNP and colorectal cancer risk (OR per risk allele (A) = 1.39, 95% CI = 1.09-1.78, corrected p-value = 0.07). In addition, a suggestive interaction between rs17724534 and rs10883782 in 2 discrete LD blocks of CYP17A1 was observed in relation to colorectal cancer (empirical p value = 0.04). Moreover, one haplotype block of CYP19A1 was associated with colorectal cancer (corrected global p value = 0.02), which likely reflected the association with the tagging SNP, rs1902584, in the block. Conclusion Our findings offer some support for a suggestive association of CYP17A1 and CYP19A1 variants with colorectal cancer risk.
Collapse
Affiliation(s)
- Jennifer H Lin
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | | | | | | | | | | | | |
Collapse
|
14
|
Variation in the CYP19A1 gene and risk of colon and rectal cancer. Cancer Causes Control 2011; 22:955-63. [PMID: 21479914 DOI: 10.1007/s10552-011-9768-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2010] [Accepted: 03/31/2011] [Indexed: 12/23/2022]
Abstract
CYP19A1, or aromatase, influences estrogen-metabolizing enzymes and may influence cancer risk. We examine variation in the CYP19A1 gene and risk of colorectal cancer using data from population-based case-control studies (colon n = 1,574 cases, 1,970 controls; rectal n = 791 cases, 999 controls). Four SNPs were statistically significantly associated with colon cancer and four were associated with rectal cancer. After adjustment for multiple comparisons, the AA genotype of rs12591359 was associated with an increased risk of colon cancer (OR 1.44 95% CI 1.16-1.80) and the AA genotype of rs2470144 was associated with a reduced risk of rectal cancer (OR 0.65 95% CI 0.50-0.84). Variants of CYP19A1 were associated with CIMP+ and CIMP+/KRAS2-mutated tumors. CT/TT genotypes of rs1961177 were significantly associated with an increased likelihood of a MSI+ colon tumor (OR 1.77 95% CI 1.26-2.37). We observed statistically significant interactions between genetic variation in NFκB1 and CYP19A1 for both colon and rectal cancer. Our data suggest the importance of CYP19A1 in the development of colon and rectal cancer and that estrogen may influence risk through an inflammation-related mechanism.
Collapse
|