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Wang Y, Huang Y, Antwi SO, Taner CB, Yang L. Racial Disparities in Liver Disease Mortality Trends Among Black and White Populations in the United States, 1999-2020: An Analysis of CDC WONDER Database. Am J Gastroenterol 2024; 119:682-689. [PMID: 37830524 DOI: 10.14309/ajg.0000000000002561] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 10/02/2023] [Indexed: 10/14/2023]
Abstract
INTRODUCTION Liver disease is a significant public health problem in the United States, with notable racial disparities in mortality. This study examines liver disease mortality trends among Black and White populations during 1999-2020. METHODS We used CDC WONDER database to ascertain liver disease age-standardized mortality rates in Black and White Americans. Annual percent change was calculated. Age-standardized absolute rate difference and rate ratios were computed by subtracting and dividing the White population's rate from that of the Black population. RESULTS Liver diseases accounted for 171,627 Black and 1,314,903 White deaths during 1999-2020. Age-standardized mortality rates for Blacks decreased from 22.5 to 20.1 per 100,000 person-years (annual percentage change -0.4%, -0.6% to -0.2%), whereas an increase was observed for Whites, from 17.9 to 25.3 per 100,000 person-years (annual percentage change 1.4%, 1.4% to 1.7%). The rate ratio decreased from 1.26 (1.22-1.29) in 1999 to 0.79 (0.78-0.81) in 2020. This pattern was evident in all census regions, more pronounced among the younger (age 25-64 years) than older (age 65+ years) population and observed across different urbanization levels. The pattern may be attributable to increasing alcohol-related liver disease and metabolic dysfunction-associated steatotic liver disease-related deaths in Whites and tapering in viral hepatitis and primary liver cancer-related deaths in Blacks. Despite notable improvement, racial disparities persist in primary liver cancer and viral hepatitis among the Black population. DISCUSSION The rise in alcohol-related liver disease and metabolic dysfunction-associated steatotic liver disease-related deaths among Whites, and enduring liver cancer and viral hepatitis disparities in the Black population, underscores the urgent need for tailored public health interventions.
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Affiliation(s)
- Yichen Wang
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yuting Huang
- Department of Gastroenterology & Hepatology, Mayo Clinic Florida, Jacksonville, Florida, USA
| | - Samuel O Antwi
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic Florida, Jacksonville, Florida, USA
| | - C Burcin Taner
- Department of Transplantation, Mayo Clinic Florida, Jacksonville, Florida, USA
| | - Liu Yang
- Department of Transplantation, Mayo Clinic Florida, Jacksonville, Florida, USA
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Perdomo S, Abedi-Ardekani B, de Carvalho AC, Ferreiro-Iglesias A, Gaborieau V, Cattiaux T, Renard H, Chopard P, Carreira C, Spanu A, Nikmanesh A, Cardoso Penha RC, Antwi SO, Ashton-Prolla P, Canova C, Chitapanarux T, Cox R, Curado MP, de Oliveira JC, Dzamalala C, Fabianova E, Ferri L, Fitzgerald R, Foretova L, Gallinger S, Goldstein AM, Holcatova I, Huertas A, Janout V, Jarmalaite S, Kaneva R, Kowalski LP, Kulis T, Lagiou P, Lissowska J, Malekzadeh R, Mates D, McCorrmack V, Menya D, Mhatre S, Mmbaga BT, de Moricz A, Nyirády P, Ognjanovic M, Papadopoulou K, Polesel J, Purdue MP, Rascu S, Rebolho Batista LM, Reis RM, Ribeiro Pinto LF, Rodríguez-Urrego PA, Sangkhathat S, Sangrajrang S, Shibata T, Stakhovsky E, Świątkowska B, Vaccaro C, Vasconcelos de Podesta JR, Vasudev NS, Vilensky M, Yeung J, Zaridze D, Zendehdel K, Scelo G, Chanudet E, Wang J, Fitzgerald S, Latimer C, Moody S, Humphreys L, Alexandrov LB, Stratton MR, Brennan P. The Mutographs biorepository: A unique genomic resource to study cancer around the world. Cell Genom 2024; 4:100500. [PMID: 38325367 PMCID: PMC10943582 DOI: 10.1016/j.xgen.2024.100500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 10/24/2023] [Accepted: 01/10/2024] [Indexed: 02/09/2024]
Abstract
Large-scale biorepositories and databases are essential to generate equitable, effective, and sustainable advances in cancer prevention, early detection, cancer therapy, cancer care, and surveillance. The Mutographs project has created a large genomic dataset and biorepository of over 7,800 cancer cases from 30 countries across five continents with extensive demographic, lifestyle, environmental, and clinical information. Whole-genome sequencing is being finalized for over 4,000 cases, with the primary goal of understanding the causes of cancer at eight anatomic sites. Genomic, exposure, and clinical data will be publicly available through the International Cancer Genome Consortium Accelerating Research in Genomic Oncology platform. The Mutographs sample and metadata biorepository constitutes a legacy resource for new projects and collaborations aiming to increase our current research efforts in cancer genomic epidemiology globally.
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Affiliation(s)
- Sandra Perdomo
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Behnoush Abedi-Ardekani
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Ana Carolina de Carvalho
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Aida Ferreiro-Iglesias
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Valérie Gaborieau
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Thomas Cattiaux
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Hélène Renard
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Priscilia Chopard
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Christine Carreira
- Evidence Synthesis and Classification Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Andreea Spanu
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Arash Nikmanesh
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | | | - Samuel O Antwi
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Jacksonville, FL, USA
| | - Patricia Ashton-Prolla
- Experimental Research Center, Genomic Medicine Laboratory, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil; Post-Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Cristina Canova
- Unit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, Padova, Italy
| | - Taned Chitapanarux
- Department of Internal Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Riley Cox
- Ontario Tumour Bank, Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Maria Paula Curado
- Department of Epidemiology, A.C. Camargo Cancer Center, São Paulo, Brazil
| | | | | | | | - Lorenzo Ferri
- Departments of Surgery and Oncology, McGill University, Montreal, QC, Canada
| | | | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Steven Gallinger
- Mount Sinai Hospital; Ontario Institute for Cancer Research (OICR), Toronto, ON, Canada
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Ivana Holcatova
- Institute of Public Health & Preventive Medicine, 2nd Faculty of Medicine, Charles University, Prague, Czech Republic; Department of Oncology, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic
| | | | - Vladimir Janout
- Faculty of Health Sciences, Palacky University, Olomouc, Czech Republic
| | - Sonata Jarmalaite
- Laboratory of Genetic Diagnostic, National Cancer Institute, Vilnius, Lithuania; Department of Botany and Genetics, Institute of Biosciences, Vilnius University, Vilnius, Lithuania
| | - Radka Kaneva
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical Faculty, Medical University of Sofia, Sofia, Bulgaria
| | - Luiz Paulo Kowalski
- Department of Epidemiology, A.C. Camargo Cancer Center, São Paulo, Brazil; University of São Paulo Medical School, São Paulo, Brazil
| | - Tomislav Kulis
- Department of Urology, University Hospital Center Zagreb, Zagreb, Croatia; University of Zagreb School of Medicine, Zagreb, Croatia
| | - Pagona Lagiou
- National and Kapodistrian University of Athens, Athens, Greece
| | - Jolanta Lissowska
- The Maria Sklodowska-Cure National Research Institute of Oncology, Warsaw, Poland
| | - Reza Malekzadeh
- Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Dana Mates
- Occupational Health and Toxicology, National Center for Environmental Risk Monitoring, National Institute of Public Health, Bucharest, Romania
| | - Valerie McCorrmack
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Diana Menya
- Moi University, School of Public Health, Eldoret, Kenya
| | - Sharayu Mhatre
- Division of Molecular Epidemiology and Population Genomics, Centre for Cancer Epidemiology, Tata Memorial Centre, Mumbai, India
| | | | - André de Moricz
- Kilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical Centre & Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | | | - Miodrag Ognjanovic
- IOCPR- International Organization for Cancer Prevention and Research, Serbia, Belgrade
| | | | - Jerry Polesel
- Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Stefan Rascu
- Urology Department, "Carol Davila" University of Medicine and Pharmacy - "Prof. Dr. Th. Burghele" Clinical Hospital, Bucharest, Romania
| | | | - Rui Manuel Reis
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil; Life and Health Sciences Research Institute (ICVS), School of Medicine, Minho University, Braga, Portugal
| | | | | | - Surasak Sangkhathat
- Translational Medicine Research Center, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | | | - Tatsuhiro Shibata
- Laboratory of Molecular Medicine, The Institute of Medical Science, The University of Tokyo, Minato-ku, Japan; Division of Cancer Genomics, National Cancer Center Research Institute, Chuo-ku, Japan
| | | | - Beata Świątkowska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Łódź, Poland
| | - Carlos Vaccaro
- Instituto Medicina Traslacional e Ingenieria Biomedica - CONICET, Buenos Aires, Argentina
| | | | - Naveen S Vasudev
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Marta Vilensky
- Instituto de Oncología Angel Roffo, Universidad de Buenos Aires, Buenos Aires, Argentina
| | | | - David Zaridze
- Clinical Epidemiology, N.N. Blokhin National Medical Research Centre of Oncology, Moscow, Russia
| | - Kazem Zendehdel
- Cancer Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ghislaine Scelo
- Observational & Pragmatic Research Institute Pte., Ltd., Singapore, Singapore
| | - Estelle Chanudet
- Department of Pathology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Jingwei Wang
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Stephen Fitzgerald
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Calli Latimer
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Sarah Moody
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Laura Humphreys
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Ludmil B Alexandrov
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego, La Jolla, CA, USA; Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - Michael R Stratton
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
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Ledenko M, Antwi SO, Patel T. Geospatial analysis of cyanobacterial exposure and liver cancer in the contiguous United States. Hepatology 2024; 79:575-588. [PMID: 37607728 DOI: 10.1097/hep.0000000000000573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/09/2023] [Indexed: 08/24/2023]
Abstract
BACKGROUND AND AIMS Cyanobacteria are commonly found in water bodies and their production of hepatotoxins can contribute to liver damage. However, the population health effects of cyanobacteria exposure (CE) are unknown. Our objectives were to determine the effect of chronic exposure to cyanobacteria through proximity to water bodies with high cyanobacteria counts on the incidence and mortality of liver cancers, as well as to identify location-based risk factors. APPROACH AND RESULTS Across the contiguous United States, regions with high cyanobacteria counts in water bodies were identified using satellite remote sensing data. The data were geospatially mapped to county boundaries, and disease mortality and incidence rates were analyzed. Distinctive spatial clusters of CE and mortality related to liver diseases or cancer were identified. There was a highly significant spatial association between CE, liver disease, and liver cancer but not between CE and all cancers. Hot spots of CE and mortality were identified along the Gulf of Mexico, eastern Texas, Louisiana, and Florida, and cold spots across the Appalachians. The social vulnerability index was identified as a major location-based determinant by logistic regression, with counties in the fourth or fifth quintiles having the highest prevalence of hot spots of CE and mortality from liver cancer. CONCLUSIONS These findings emphasize the importance of environmental exposure to cyanobacteria as a location-based determinant of mortality from liver cancer. Public health initiatives addressing CE may be considered to reduce mortality, particularly in areas of high social vulnerability.
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Affiliation(s)
- Matthew Ledenko
- Department of Transplantation, Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, USA
| | - Samuel O Antwi
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, USA
| | - Tushar Patel
- Department of Transplantation, Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, USA
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4
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Hassan MM, Li D, Han Y, Byun J, Hatia RI, Long E, Choi J, Kelley RK, Cleary SP, Lok AS, Bracci P, Permuth JB, Bucur R, Yuan JM, Singal AG, Jalal PK, Ghobrial RM, Santella RM, Kono Y, Shah DP, Nguyen MH, Liu G, Parikh ND, Kim R, Wu HC, El-Serag H, Chang P, Li Y, Chun YS, Lee SS, Gu J, Hawk E, Sun R, Huff C, Rashid A, Amin HM, Beretta L, Wolff RA, Antwi SO, Patt Y, Hwang LY, Klein AP, Zhang K, Schmidt MA, White DL, Goss JA, Khaderi SA, Marrero JA, Cigarroa FG, Shah PK, Kaseb AO, Roberts LR, Amos CI. Genome-wide association study identifies high-impact susceptibility loci for HCC in North America. Hepatology 2024:01515467-990000000-00763. [PMID: 38381705 DOI: 10.1097/hep.0000000000000800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 12/18/2023] [Indexed: 02/23/2024]
Abstract
BACKGROUND AND AIMS Despite the substantial impact of environmental factors, individuals with a family history of liver cancer have an increased risk for HCC. However, genetic factors have not been studied systematically by genome-wide approaches in large numbers of individuals from European descent populations (EDP). APPROACH AND RESULTS We conducted a 2-stage genome-wide association study (GWAS) on HCC not affected by HBV infections. A total of 1872 HCC cases and 2907 controls were included in the discovery stage, and 1200 HCC cases and 1832 controls in the validation. We analyzed the discovery and validation samples separately and then conducted a meta-analysis. All analyses were conducted in the presence and absence of HCV. The liability-scale heritability was 24.4% for overall HCC. Five regions with significant ORs (95% CI) were identified for nonviral HCC: 3p22.1, MOBP , rs9842969, (0.51, [0.40-0.65]); 5p15.33, TERT , rs2242652, (0.70, (0.62-0.79]); 19q13.11, TM6SF2 , rs58542926, (1.49, [1.29-1.72]); 19p13.11 MAU2 , rs58489806, (1.53, (1.33-1.75]); and 22q13.31, PNPLA3 , rs738409, (1.66, [1.51-1.83]). One region was identified for HCV-induced HCC: 6p21.31, human leukocyte antigen DQ beta 1, rs9275224, (0.79, [0.74-0.84]). A combination of homozygous variants of PNPLA3 and TERT showing a 6.5-fold higher risk for nonviral-related HCC compared to individuals lacking these genotypes. This observation suggests that gene-gene interactions may identify individuals at elevated risk for developing HCC. CONCLUSIONS Our GWAS highlights novel genetic susceptibility of nonviral HCC among European descent populations from North America with substantial heritability. Selected genetic influences were observed for HCV-positive HCC. Our findings indicate the importance of genetic susceptibility to HCC development.
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Affiliation(s)
- Manal M Hassan
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Younghun Han
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA
| | - Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA
| | - Rikita I Hatia
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Erping Long
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Robin Kate Kelley
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA
| | - Sean P Cleary
- Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Anna S Lok
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Paige Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Jennifer B Permuth
- Department of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, Florida, USA
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Roxana Bucur
- Princess Margaret Cancer Center and Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Jian-Min Yuan
- Cancer Epidemiology and Prevention Program, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Amit G Singal
- Division of Digestive and Liver Diseases, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Prasun K Jalal
- Department of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, Texas, USA
| | - R Mark Ghobrial
- J.C. Walter Jr. Transplant Center, Houston Methodist Hospital, Houston, Texas, USA
| | - Regina M Santella
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York City, New York, USA
| | - Yuko Kono
- Division of Gastroenterology and Hepatology, University of California San Diego, San Diego, California, USA
| | - Dimpy P Shah
- Mays Cancer Center, The University of Texas Health Science Center San Antonio MD Anderson, San Antonio, Texas, USA
| | - Mindie H Nguyen
- Division of Gastroenterology and Hepatology, Department of Epidemiology and Population Health, Stanford University Medical Center, Palo Alto, California, USA
| | - Geoffrey Liu
- Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Neehar D Parikh
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Richard Kim
- Department of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Hui-Chen Wu
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York City, New York, USA
| | - Hashem El-Serag
- Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Ping Chang
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Yanan Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Yun Shin Chun
- Division of Surgery, Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Sunyoung S Lee
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jian Gu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ernest Hawk
- Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ryan Sun
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Chad Huff
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Asif Rashid
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Hesham M Amin
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Laura Beretta
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Robert A Wolff
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Samuel O Antwi
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, USA
| | - Yehuda Patt
- Division of Hematology/Oncology, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - Lu-Yu Hwang
- Department of Epidemiology, Human Genetics, and Environment Science, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Alison P Klein
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, USA
| | - Karen Zhang
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA
| | - Mikayla A Schmidt
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Donna L White
- Sections of Gastroenterology and Hepatology and Health Services Research, Baylor College of Medicine, Houston, Texas, USA
| | - John A Goss
- Division of Abdominal Transplantation, Michael E. DeBakey School of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Saira A Khaderi
- Division of Abdominal Transplantation, Baylor College of Medicine, Houston, Texas, USA
| | - Jorge A Marrero
- Division of Digestive and Liver Diseases, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Francisco G Cigarroa
- Transplant Center, The University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Pankil K Shah
- Mays Cancer Center, The University of Texas Health Science Center San Antonio MD Anderson, San Antonio, Texas, USA
| | - Ahmed O Kaseb
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Lewis R Roberts
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA
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Cortés P, Zeng JJ, Karime C, Lewis MD, Gharacholou SM, Antwi SO, Pang M. Validation of prediction tools for GI bleeding in patients on dual anti-platelet therapy after percutaneous coronary intervention. Gastrointest Endosc 2024; 99:10-20.e6. [PMID: 37579980 DOI: 10.1016/j.gie.2023.08.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 06/07/2023] [Accepted: 08/04/2023] [Indexed: 08/16/2023]
Abstract
BACKGROUND AND AIMS The management of dual anti-platelet therapy after percutaneous coronary intervention (PCI) and GI bleeding (GIB) remains a clinical dilemma. We sought to identify predictors of GIB and recurrent bleeding and to determine whether recurrent bleeding increases the risk of major adverse cardiovascular events (MACEs). METHODS In this single-center retrospective study, patients undergoing PCI were identified. The primary and secondary endpoints were GIB at 180 days and recurrent bleeding or MACE at 365 days. Logistic regression was used to identify predictors of GIB and recurrent bleeding. Cox proportional hazards modeling was used to determine whether recurrent bleeding can predict a MACE. RESULTS Five hundred thirty-six patients were included. On multivariable analysis, PCI for acute coronary syndrome was associated with a 95% increased odds of GIB (P < .001). The P2Y12 inhibitor was continued in >90% of patients, which trended toward significance for recurrent bleeding (P < .10). The HAS-BLED score (Hypertension, Abnormal renal and liver function, Stroke, Bleeding tendency or predisposition, Labile INRs, Elderly, Drugs), including a labile international normalized ratio and prior major bleeding, was strongly associated with recurrent bleeding (P ≤ .009). Recurrent bleeding was associated with a 115% increased risk of MACEs (P = .02). We derived a novel risk score, named the SIGE score ([S]TEMI at PCI, having a labile [I]NR at PCI, index [G]IB within 180 days of PCI, and previous precatheterization [E]ndoscopy within 6 months), to predict recurrent bleeding at 365 days with a high predictive accuracy (area under the curve, .773; 95% confidence interval, .702-.845). CONCLUSIONS The SIGE score may help to predict recurrent bleeding, which was shown to be associated with an increased risk of MACEs. Further external validation is needed.
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Affiliation(s)
- Pedro Cortés
- Division of Internal Medicine, Mayo Clinic, Jacksonville, Florida, USA
| | - Jennifer J Zeng
- Krieger School of Arts & Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Christian Karime
- Division of Internal Medicine, Mayo Clinic, Jacksonville, Florida, USA
| | - Michele D Lewis
- Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, USA
| | | | - Samuel O Antwi
- Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, USA; Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, USA
| | - Maoyin Pang
- Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, USA
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King SD, Veliginti S, Brouwers MCGJ, Ren Z, Zheng W, Setiawan VW, Wilkens LR, Shu XO, Arslan AA, Freeman LEB, Bracci PM, Canzian F, Du M, Gallinger SJ, Giles GG, Goodman PJ, Haiman CA, Kogevinas M, Kooperberg C, LeMarchand L, Neale RE, Visvanathan K, White E, Albanes D, Andreotti G, Babic A, Berndt SI, Brais LK, Brennan P, Buring JE, Rabe KG, Bamlet WR, Chanock SJ, Fuchs CS, Gaziano JM, Giovannucci EL, Hackert T, Hassan MM, Katzke V, Kurtz RC, Lee IM, Malats N, Murphy N, Oberg AL, Orlow I, Porta M, Real FX, Rothman N, Sesso HD, Silverman DT, Thompson IM, Wactawski-Wende J, Wang X, Wentzensen N, Yu H, Zeleniuch-Jacquotte A, Yu K, Wolpin BM, Duell EJ, Li D, Hung RJ, Perdomo S, McCullough ML, Freedman ND, Patel AV, Peters U, Riboli E, Sund M, Tjønneland A, Zhong J, Van Den Eeden SK, Kraft P, Risch HA, Amundadottir LT, Klein AP, Stolzenberg-Solomon RZ, Antwi SO. Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization. Cancer Epidemiol Biomarkers Prev 2023; 32:1265-1269. [PMID: 37351909 PMCID: PMC10529823 DOI: 10.1158/1055-9965.epi-23-0453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/15/2023] [Accepted: 06/16/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND There are conflicting data on whether nonalcoholic fatty liver disease (NAFLD) is associated with susceptibility to pancreatic cancer. Using Mendelian randomization (MR), we investigated the relationship between genetic predisposition to NAFLD and risk for pancreatic cancer. METHODS Data from genome-wide association studies (GWAS) within the Pancreatic Cancer Cohort Consortium (PanScan; cases n = 5,090, controls n = 8,733) and the Pancreatic Cancer Case Control Consortium (PanC4; cases n = 4,163, controls n = 3,792) were analyzed. We used data on 68 genetic variants with four different MR methods [inverse variance weighting (IVW), MR-Egger, simple median, and penalized weighted median] separately to predict genetic heritability of NAFLD. We then assessed the relationship between each of the four MR methods and pancreatic cancer risk, using logistic regression to calculate ORs and 95% confidence intervals (CI), adjusting for PC risk factors, including obesity and diabetes. RESULTS No association was found between genetically predicted NAFLD and pancreatic cancer risk in the PanScan or PanC4 samples [e.g., PanScan, IVW OR, 1.04; 95% confidence interval (CI), 0.88-1.22; MR-Egger OR, 0.89; 95% CI, 0.65-1.21; PanC4, IVW OR, 1.07; 95% CI, 0.90-1.27; MR-Egger OR, 0.93; 95% CI, 0.67-1.28]. None of the four MR methods indicated an association between genetically predicted NAFLD and pancreatic cancer risk in either sample. CONCLUSIONS Genetic predisposition to NAFLD is not associated with pancreatic cancer risk. IMPACT Given the close relationship between NAFLD and metabolic conditions, it is plausible that any association between NAFLD and pancreatic cancer might reflect host metabolic perturbations (e.g., obesity, diabetes, or metabolic syndrome) and does not necessarily reflect a causal relationship between NAFLD and pancreatic cancer.
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Affiliation(s)
- Sontoria D. King
- Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Swathi Veliginti
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, USA
| | - Martijn C. G. J. Brouwers
- Division of Endocrinology and Metabolic Diseases, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
| | - Zhewen Ren
- Division of Endocrinology and Metabolic Diseases, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Veronica W. Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lynne R. Wilkens
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Alan A. Arslan
- Departments of Obstetrics and Gynecology, Population Health and Environmental Medicine, NYU Perlmutter Comprehensive Cancer Center, New York, New York, USA
| | - Laura E. Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Paige M. Bracci
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Mengmeng Du
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Steven J. Gallinger
- Hepatobiliary/Pancreatic Surgical Oncology Program, University Health Network, Toronto, ON, Canada
- The Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada
| | - Graham G. Giles
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Phyllis J. Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Manolis Kogevinas
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Loic LeMarchand
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Rachel E. Neale
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Emily White
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Gabriella Andreotti
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Ana Babic
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Lauren K. Brais
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Julie E. Buring
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Kari G. Rabe
- Department of Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - William R. Bamlet
- Department of Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Charles S. Fuchs
- Yale Cancer Center, New Haven, Connecticut, USA
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA
- Smilow Cancer Hospital, New Haven, Connecticut, USA
| | - J. Michael Gaziano
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Boston Veteran Affairs Healthcare System, Boston, Massachusetts, USA
| | - Edward L. Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Thilo Hackert
- Department of General, Visceral and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany
| | - Manal M. Hassan
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Robert C. Kurtz
- Gastroenterology, Hepatology, and Nutrition Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - I-Min Lee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Núria Malats
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Neil Murphy
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Ann L. Oberg
- Department of Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
| | - Irene Orlow
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Miquel Porta
- Hospital del Mar Institute of Medical Research (IMIM), Universitat Autònoma de Barcelona, Spain
| | - Francisco X. Real
- Epithelial Carcinogenesis Group, Spanish National Cancer Research Centre-CNIO, Madrid, Spain
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Howard D. Sesso
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Debra T. Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Ian M. Thompson
- CHRISTUS Santa Rosa Hospital – Medical Center, San Antonio, Texas, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University of Buffalo, Buffalo, New York, USA
| | - Xiaoliang Wang
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Herbert Yu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Anne Zeleniuch-Jacquotte
- Departments of Population Health and Environmental Medicine, NYU Perlmutter Comprehensive Cancer Center, New York, New York, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Brian M. Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Eric J. Duell
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Bellvitge Biomedical Research Institute (IDIBELL), Catalan Institute of Oncology (ICO), Barcelona, Spain
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Rayjean J. Hung
- Lunenfeld-Tanenbaum Research Institute of Sinai Health System, University of Toronto, Toronto, Canada
| | - Sandra Perdomo
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | | | - Neal D. Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Alpa V. Patel
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Elio Riboli
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Malin Sund
- Department of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden
| | | | - Jun Zhong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Stephen K. Van Den Eeden
- Division of Research, Kaiser Permanente, Northern California, Oakland, CA, USA
- Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Harvey A. Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA
| | - Laufey T. Amundadottir
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Alison P. Klein
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Rachael Z. Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Samuel O. Antwi
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, USA
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Jacksonville, Florida, USA
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Wang Y, Huang Y, Chase RC, Li T, Ramai D, Li S, Huang X, Antwi SO, Keaveny AP, Pang M. Global Burden of Digestive Diseases: A Systematic Analysis of the Global Burden of Diseases Study, 1990 to 2019. Gastroenterology 2023; 165:773-783.e15. [PMID: 37302558 DOI: 10.1053/j.gastro.2023.05.050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 04/05/2023] [Accepted: 05/10/2023] [Indexed: 06/13/2023]
Abstract
BACKGROUND & AIMS This study assessed the worldwide burden of digestive diseases between 1990 and 2019. METHODS We analyzed data from the Global Burden of Diseases study, covering 18 digestive diseases across 204 countries and territories. Key disease burden indicators, including incidence, prevalence, mortality, and disability-adjusted life years (DALYs), were studied. Linear regression analysis was applied to the natural logarithm of age-standardized outcomes to determine the annual percent change. RESULTS In 2019, there were 7.32 billion incidents and 2.86 billion prevalent cases of digestive diseases, resulting in 8 million deaths and 277 million DALYs lost. Little to no decrease in global age-standardized incidence and prevalence of digestive diseases was observed between 1990 and 2019, with 95,582 and 35,106 cases per 100,000 individuals in 2019, respectively. The age-standardized death rate was 102 per 100,000 individuals. Digestive diseases accounted for a significant portion of the overall disease burden, with more than one-third of prevalent cases having a digestive etiology. Enteric infections were the primary contributor to incidence, death, and DALYs lost, whereas cirrhosis and other chronic liver diseases had the highest prevalence rate. The burden of digestive diseases was inversely related to the sociodemographic index, with enteric infections being the predominant cause of death in low and low-middle quintiles and colorectal cancer in the high quintile. CONCLUSIONS Despite significant reductions in deaths and DALYs due to digestive diseases from 1990 to 2019, they remain prevalent. A significant disparity in the burden of digestive diseases exists among countries with different development levels.
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Affiliation(s)
- Yichen Wang
- Mercy Internal Medicine Service, Trinity Health of New England, Springfield, Massachusetts
| | - Yuting Huang
- Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida
| | - Robert C Chase
- Department of Internal Medicine, Mayo Clinic, Jacksonville, Florida
| | - Tian Li
- Department of Internal Medicine, State University of New York (SUNY) Downstate Health Sciences University, New York, New York
| | - Daryl Ramai
- Division of Gastroenterology and Hepatology, University of Utah, Salt Lake City, Utah
| | - Si Li
- Department of Internal Medicine, Temple University Hospital, Philadelphia, Pennsylvania
| | - Xiaoquan Huang
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Samuel O Antwi
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Andrew P Keaveny
- Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida
| | - Maoyin Pang
- Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida.
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8
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Antwi SO, Heckman M, White L, Yan I, Sarangi V, Lauer KP, Reddy J, Ahmed F, Veliginti S, Mejías Febres ED, Hatia RI, Chang P, Izquierdo-Sanchez L, Boix L, Rojas A, Banales JM, Reig M, Stål P, Gómez MR, Singal AG, Li D, Hassan MM, Roberts LR, Patel T. Metabolic liver cancer: associations of rare and common germline variants in one-carbon metabolism and DNA methylation genes. Hum Mol Genet 2023; 32:2646-2655. [PMID: 37369012 PMCID: PMC10407694 DOI: 10.1093/hmg/ddad099] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/29/2023] [Accepted: 06/13/2023] [Indexed: 06/29/2023] Open
Abstract
Animal studies implicate one-carbon metabolism and DNA methylation genes in hepatocellular carcinoma (HCC) development in the setting of metabolic perturbations. Using human samples, we investigated the associations between common and rare variants in these closely related biochemical pathways and risk for metabolic HCC development in a multicenter international study. We performed targeted exome sequencing of 64 genes among 556 metabolic HCC cases and 643 cancer-free controls with metabolic conditions. Multivariable logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for multiple comparisons. Gene-burden tests were used for rare variant associations. Analyses were performed in the overall sample and among non-Hispanic whites. The results show that among non-Hispanic whites, presence of rare functional variants in ABCC2 was associated with 7-fold higher risk of metabolic HCC (OR = 6.92, 95% CI: 2.38-20.15, P = 0.0004), and this association remained significant when analyses were restricted to functional rare variants observed in ≥2 participants (cases 3.2% versus controls 0.0%, P = 1.02 × 10-5). In the overall multiethnic sample, presence of rare functional variants in ABCC2 was nominally associated with metabolic HCC (OR = 3.60, 95% CI: 1.52-8.58, P = 0.004), with similar nominal association when analyses were restricted to functional rare variants observed in ≥2 participants (cases 2.9% versus controls 0.2%, P = 0.006). A common variant in PNPLA3 (rs738409[G]) was associated with higher HCC risk in the overall sample (P = 6.36 × 10-6) and in non-Hispanic whites (P = 0.0002). Our findings indicate that rare functional variants in ABCC2 are associated with susceptibility to metabolic HCC in non-Hispanic whites. PNPLA3-rs738409 is also associated with metabolic HCC risk.
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Affiliation(s)
- Samuel O Antwi
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Jacksonville, FL, USA
| | - Michael Heckman
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Launia White
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Irene Yan
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA
| | - Vivekananda Sarangi
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Kimberly P Lauer
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Joseph Reddy
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, USA
| | - Fowsiyo Ahmed
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Swathi Veliginti
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | | | - Rikita I Hatia
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ping Chang
- Department of Gastrointestinal Medical Oncology, The MD Anderson Cancer Center, Houston, TX, USA
| | - Laura Izquierdo-Sanchez
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute—Donostia University Hospital, University of the Basque Country (UPV/EHU), CIBERehd, San Sebastian, Spain
| | - Loreto Boix
- BCLC Group, Liver Unit, ICMDM, IDIBAPS, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain
| | - Angela Rojas
- SeLiver Group, UCM Digestive Diseases, Institute of Biomedicine of Seville (IBiS), Virgen del Rocio University Hospital/CSIC/University of Seville, Seville, Spain
- Hepatic and Digestive Diseases Networking Biomedical Research Centre (CIBERehd), Madrid, Spain
| | - Jesus M Banales
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute—Donostia University Hospital, University of the Basque Country (UPV/EHU), CIBERehd, San Sebastian, Spain
- Department of Biochemistry and Genetics, School of Sciences, University of Navarra, Pamplona, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
| | - Maria Reig
- BCLC Group, Liver Unit, ICMDM, IDIBAPS, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain
| | - Per Stål
- Department of Gastroenterology and Hepatology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Manuel Romero Gómez
- SeLiver Group, UCM Digestive Diseases, Institute of Biomedicine of Seville (IBiS), Virgen del Rocio University Hospital/CSIC/University of Seville, Seville, Spain
- Hepatic and Digestive Diseases Networking Biomedical Research Centre (CIBERehd), Madrid, Spain
| | - Amit G Singal
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The MD Anderson Cancer Center, Houston, TX, USA
| | - Manal M Hassan
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lewis R Roberts
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Tushar Patel
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA
- Department of Transplantation, Mayo Clinic, Jacksonville, FL, USA
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Wiafe YA, Afihene MY, Anto EO, Nmai RA, Amoah-Kumi L, Frimpong J, Dickson FD, Antwi SO, Roberts LR. Non-Alcoholic Fatty Liver Disease and Liver Fibrosis in Persons with Type 2 Diabetes Mellitus in Ghana: A Study of Prevalence, Severity, and Contributing Factors Using Transient Elastography. J Clin Med 2023; 12:jcm12113741. [PMID: 37297935 DOI: 10.3390/jcm12113741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 05/24/2023] [Accepted: 05/26/2023] [Indexed: 06/12/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a metabolic disorder characterized by hyperglycemia, insulin resistance, and pancreatic islet cell dysfunction. T2DM is associated with non-alcoholic fatty liver disease (NAFLD) because of impaired glucose metabolism in both conditions. However, it is widely assumed that people with T2DM in sub-Saharan Africa (SSA) have a lower prevalence of NAFLD than in other parts of the world. With our recent access to transient elastography, we aimed to investigate the prevalence of, severity of, and contributing factors to NAFLD in persons with T2DM in Ghana. We performed a cross-sectional study recruiting 218 individuals with T2DM at the Kwadaso Seventh-Day Adventist and Mount Sinai Hospitals in the Ashanti region of Ghana using a simple randomized sampling technique. A structured questionnaire was used to obtain socio-demographic information, clinical history, exercise and other lifestyle factors, and anthropometric measurements. Transient elastography was performed using a FibroScan® machine to obtain the Controlled Attenuation Parameter (CAP) score and liver fibrosis score. The prevalence of NAFLD among Ghanaian T2DM participants was 51.4% (112/218), of whom 11.6% had significant liver fibrosis. An evaluation of the NAFLD group (n = 112) versus the non-NAFLD group (n = 106) revealed a higher BMI (28.7 vs. 25.2 kg/m2, p = 0.001), waist circumference (106.0 vs. 98.0 cm, p = 0.001), hip circumference (107.0 vs. 100.5 cm, p = 0.003), and waist-to-height ratio (0.66 vs. 0.62, p = 0.001) in T2DM patients with NAFLD compared to those without NAFLD. Being obese was an independent predictor of NAFLD in persons with T2DM than known history of hypertension and dyslipidaemia.
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Affiliation(s)
- Yaw Amo Wiafe
- Department of Medical Diagnostics, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Mary Yeboah Afihene
- Department of Medicine, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Enoch Odame Anto
- Department of Medical Diagnostics, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Richmond Ashitey Nmai
- Department of Medical Diagnostics, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Lois Amoah-Kumi
- Department of Medical Diagnostics, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Joseph Frimpong
- Department of Medical Diagnostics, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | | | - Samuel O Antwi
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Jacksonville, FL 32224, USA
| | - Lewis R Roberts
- Division of Gastroenterology and Hepatology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
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10
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Antwi SO, Craver EC, Nartey YA, Sartorius K, Patel T. Metabolic Risk Factors for Hepatocellular Carcinoma in Patients with Nonalcoholic Fatty Liver Disease: A Prospective Study. Cancers (Basel) 2022; 14:6234. [PMID: 36551719 PMCID: PMC9777437 DOI: 10.3390/cancers14246234] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/03/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a fast-growing public health problem and predisposes to hepatocellular carcinoma (HCC) in a significant proportion of patients. Metabolic alterations might underlie the progression of NAFLD to HCC, but the magnitudes of risk and population-attributable risk fractions (PAFs) for various metabolic conditions that are associated with HCC risk in patients with NAFLD are unknown. We investigated the associations between metabolic conditions and HCC development in individuals with a prior history of NAFLD. The study included 11,245 participants in the SEER-Medicare database, comprising 1310 NAFLD-related HCC cases and 9835 NAFLD controls. We excluded individuals with competing liver diseases (e.g., alcoholic liver disease and chronic viral hepatitis). Baseline pre-existing diabetes mellitus, dyslipidemia, obesity, hypertension, hypothyroidism, and metabolic syndrome were assessed. Multivariable-adjusted logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs). PAFs were also calculated for each metabolic condition. The results show that diabetes (OR = 2.39, 95% CI: 2.04-2.79), metabolic syndrome (OR = 1.73, 95% CI: 1.49-2.01), and obesity (OR = 1.62, 95% CI: 1.43-1.85) were associated with a higher HCC risk in individuals with NAFLD. The highest PAF for HCC was observed for pre-existing diabetes (42.1%, 95% CI: 35.7-48.5), followed by metabolic syndrome (28.8%, 95% CI: 21.7-35.9) and obesity (13.2%, 95% CI: 9.6-16.8). The major predisposing factors for HCC in individuals with NAFLD are diabetes mellitus, metabolic syndrome, and obesity, and their control would be critically important in mitigating the rising incidence of NAFLD-related HCC.
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Affiliation(s)
- Samuel O. Antwi
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Emily C. Craver
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Yvonne A. Nartey
- Department of Internal Medicine and Therapeutics, School of Medical Sciences, University of Cape Coast, Cape Coast 03321, Ghana
| | - Kurt Sartorius
- School of Laboratory Medicine and Molecular Sciences, College of Health Sciences, University of Kwazulu-Natal, Durban 04013, South Africa
- UKZN Gastrointestinal Cancer Research Unit, University of Kwazulu-Natal, Durban 04013, South Africa
| | - Tushar Patel
- Department of Transplantation, Mayo Clinic, Jacksonville, FL 32224, USA
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Cortés P, Kumbhari V, Antwi SO, Wallace MB, Raimondo M, Ji B, Bi Y. Simple risk score to predict the likelihood of a positive EUS in idiopathic acute pancreatitis. Gastrointest Endosc 2022; 96:993-1001.e5. [PMID: 35850170 DOI: 10.1016/j.gie.2022.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 06/09/2022] [Accepted: 07/12/2022] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND AIMS We sought to derive a risk score, DORM65, of known variables to predict the likelihood of a positive EUS in patients with idiopathic acute pancreatitis (IAP). METHODS A retrospective cohort study of 180 patients with IAP was performed across 3 tertiary care centers between January 2018 and December 2021. Multivariate logistic regression modeling was performed to predict a positive EUS. Accuracy of the models was assessed by the area under the receiver-operating characteristic curve (AUROCC). RESULTS The diagnostic yield of EUS was 58.9% (95% confidence interval [CI], 51.7-66.1). The DORM65 scores of 5 predictors present before EUS with the best discrimination were a delayed EUS (defined as ≥82 days from the last episode of AP), obesity, not having had a repeated transabdominal US, male sex, and age ≥65 years at the time of EUS. For those at the lowest risk score group, the positive EUS rate was 13.0% compared with 100% in those at the highest risk group (relative risk, 7.67; P < .001). A score of 3 or more had a positive predictive value of 86.0% with a sensitivity of 34.9% and specificity of 91.9%. The model had a high predictive accuracy (AUROCC, .774; 95% CI, .707-.841). Adding 3 additional predictors (no cholecystectomy, no MRCP, and a single episode of AP) did not increase the accuracy significantly (AUROCC, .805; 95% CI, .742-.867). CONCLUSIONS DORM65 is easily calculated and accurately predicts a positive EUS in patients with IAP. Further validation is needed.
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Affiliation(s)
- Pedro Cortés
- Division of Internal Medicine, Mayo Clinic Florida, Jacksonville, Florida, USA
| | - Vivek Kumbhari
- Division of Gastroenterology and Hepatology, Mayo Clinic Florida, Jacksonville, Florida, USA
| | - Samuel O Antwi
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic Florida, Jacksonville, Florida, USA
| | - Michael B Wallace
- Division of Gastroenterology and Hepatology, Mayo Clinic Florida, Jacksonville, Florida, USA; Division of Gastroenterology and Hepatology, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates
| | - Massimo Raimondo
- Division of Gastroenterology and Hepatology, Mayo Clinic Florida, Jacksonville, Florida, USA
| | - Baoan Ji
- Department of Cancer Biology, Mayo Clinic Florida, Jacksonville, Florida, USA
| | - Yan Bi
- Division of Gastroenterology and Hepatology, Mayo Clinic Florida, Jacksonville, Florida, USA
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12
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Sun P, Antwi SO, Sartorius K, Zheng X, Li X. Tumor Microenvironment, Clinical Features, and Advances in Therapy for Bone Metastasis in Gastric Cancer. Cancers (Basel) 2022; 14:cancers14194888. [PMID: 36230816 PMCID: PMC9563035 DOI: 10.3390/cancers14194888] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 09/30/2022] [Accepted: 10/01/2022] [Indexed: 11/16/2022] Open
Abstract
Gastric cancer (GC) is one of the most malignant neoplasms worldwide, accounting for about 770,000 deaths in 2020. The incidence of gastric cancer bone metastasis (GC-BM) is low, about 0.9–13.4%, and GC patients develop GC-BM because of a suitable bone microenvironment. Osteoblasts, osteoclasts, and tumor cells interact with each other, secreting cytokines such as PTHrP, RANK-L, IL-6, and other growth factors that disrupt the normal bone balance and promote tumor growth. The functions and numbers of immune cells in the bone microenvironment are continuously inhibited, resulting in bone balance disorder due to the cytokines released from destroyed bone and growing tumor cells. Patients with GC-BM are generally younger than 65 years old and they often present with a later stage of the disease, as well as more aggressive tumors. They usually have shorter overall survival (OS) because of the occurrence of skeletal-related events (SREs) and undetected bone destruction due to the untimely bone inspection. Current treatments of GC-BM focus mainly on gastric cancer and SRE-related treatment. This article reviews the clinical features, possible molecular pathogeneses, and the most commonly used diagnostic methods and treatments of bone metastasis in gastric cancer.
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Affiliation(s)
- Pengcheng Sun
- Department of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University, Changzhou 213004, China
- Department of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou 213004, China
| | - Samuel O. Antwi
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL 32224, USA
- The Africa Hepatopancreatobiliary Cancer Consortium (AHPBCC), Mayo Clinic, Jacksonville, FL 32224, USA
| | - Kurt Sartorius
- The Africa Hepatopancreatobiliary Cancer Consortium (AHPBCC), Mayo Clinic, Jacksonville, FL 32224, USA
- School of Laboratory Medicine and Molecular Sciences, College of Health Sciences, University of Kwazulu-Natal, Durban 4041, South Africa
- UKZN Gastrointestinal Cancer Research Unit, University of Kwazulu-Natal, Durban 4041, South Africa
| | - Xiao Zheng
- Department of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University, Changzhou 213004, China
- Correspondence: (X.Z.); (X.L.)
| | - Xiaodong Li
- Department of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou 213004, China
- The Africa Hepatopancreatobiliary Cancer Consortium (AHPBCC), Mayo Clinic, Jacksonville, FL 32224, USA
- Correspondence: (X.Z.); (X.L.)
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Ledenko M, Antwi SO, Arima S, Driscoll J, Furuse J, Klümpen HJ, Larsen FO, Lau DK, Maderer A, Markussen A, Moehler M, Nooijen LE, Shaib WL, Tebbutt NC, André T, Ueno M, Woodford R, Yoo C, Zalupski MM, Patel T. Sex-related disparities in outcomes of cholangiocarcinoma patients in treatment trials. Front Oncol 2022; 12:963753. [PMID: 36033540 PMCID: PMC9404243 DOI: 10.3389/fonc.2022.963753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 07/25/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Matthew Ledenko
- Department of Transplantation, Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL, United States
| | - Samuel O. Antwi
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, United States
| | - Shiho Arima
- Department of Digestive and Lifestyle Diseases, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Julia Driscoll
- Department of Transplantation, Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL, United States
| | - Junji Furuse
- Department of Medical Oncology, Kyorin University Faculty of Medicine, Tokyo, Japan
| | - Heinz-Josef Klümpen
- Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
| | - Finn Ole Larsen
- Department of Oncology, Copenhagen University Hospital, Herlev and Gentofte Hospital, Herlev, Denmark
| | - David K. Lau
- Oncogenic Transcription Laboratory, Olivia Newton-John Cancer and Research Institute, Melbourne, VIC, Australia
- School of Cancer Medicine, La Trobe University, Melbourne, VIC, Australia
| | - Annett Maderer
- First Department of Medicine, University Medical Center of the Johannes-Gutenberg University, Mainz, Germany
- Research Center for Immunotherapy (FZI), University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Alice Markussen
- Department of Oncology, Copenhagen University Hospital, Herlev and Gentofte Hospital, Herlev, Denmark
| | - Markus Moehler
- First Department of Medicine, University Medical Center of the Johannes-Gutenberg University, Mainz, Germany
- Research Center for Immunotherapy (FZI), University Medical Center, Johannes Gutenberg-University, Mainz, Germany
| | - Lynn E. Nooijen
- Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Walid L. Shaib
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, United States
| | - Niall C. Tebbutt
- Department of Medical Oncology, Olivia Newton-John Cancer Centre at Austin Health, Heidelberg, VIC, Australia
| | - Thierry André
- Sorbonne University and Department of Medical Oncology, Hôpital Saint-Antoine, AP-HP, Paris, France
| | - Makoto Ueno
- Department of Gastroenterology, Hepatobiliary and Pancreatic Medical Oncology Division, Kanagawa Cancer Center, Kanagawa, Japan
| | - Rachel Woodford
- National Health and Medical Research Council Clinical Trials Centre (NHMRC CTC), Medical Foundation Building, University of Sydney, Camperdown, NSW, Australia
| | - Changhoon Yoo
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Mark M. Zalupski
- Department of Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI, United States
| | - Tushar Patel
- Department of Transplantation, Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL, United States
- *Correspondence: Tushar Patel,
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Nasereldin DS, White LJ, Hodge DO, Roberts LR, Patel T, Antwi SO. Association of metabolic health phenotypes, obesity, and hepatocellular carcinoma risk. Dig Liver Dis 2022; 54:964-972. [PMID: 34953761 PMCID: PMC9213572 DOI: 10.1016/j.dld.2021.12.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 11/16/2021] [Accepted: 12/02/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND The obesity and hepatocellular carcinoma (HCC) risk association may differ by individuals' metabolic health status. AIM To investigate the association between obesity categories and HCC risk among individuals with different metabolic health phenotypes. METHODS A case-control study among 518 HCC cases and 1,036 frequency-matched controls was conducted. Body mass index (BMI) was assessed before diagnosis. Pre-diagnosis data on dyslipidemia, hypertension, and diabetes were used to categorize participants as metabolically healthy or metabolically unhealthy. Participants were further categorized into metabolically healthy normal weight (MHNW), metabolically healthy overweight (MHOW), metabolically healthy obese (MHO), metabolically unhealthy normal weight (MUNW), metabolically unhealthy overweight (MUOW), and metabolically unhealthy obese (MHO). We used logistic regression to calculate multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS Being overweight (OR=1.68, 95%CI=1.21-2.34) or obese (OR=1.49, 95%CI=1.11-1.89) was associated with higher HCC risk. Among metabolically healthy participants, no association was found between being overweight or obese and HCC risk. However, among the metabolically unhealthy participants, being overweight (OR=1.89, 95%CI=1.31-2.72) or obese (OR=1.50, 95%CI=1.07-2.09) was associated with higher HCC risk. Compared to the MHNW phenotype, no association was found between the MHOW and MHO phenotypes and HCC risk, but the MUNW (OR=1.94, 95%CI=1.09-3.43), MUOW (OR=3.78, 95%CI=2.15-6.65), and MUO (OR=2.93, 95%CI=1.70-5.05) phenotypes were associated with higher HCC risk. CONCLUSION The association between BMI and HCC appears to be restricted to individuals with underlying metabolic abnormalities.
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Affiliation(s)
- Duala S. Nasereldin
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Launia J. White
- Division of Biomedical Statistics, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - David O. Hodge
- Division of Biomedical Statistics, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Lewis R. Roberts
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | - Tushar Patel
- Department of Transplantation, Mayo Clinic, Jacksonville, FL, USA
| | - Samuel O. Antwi
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA;,Corresponding author: Samuel O. Antwi, Ph.D. Mayo Clinic, 4500 San Pablo Road South, Vincent Stabile Building 756N, Jacksonville, FL, 32224, USA. Tel: 1-904-953-0310. Fax: 1-904-953-1447.
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15
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Steck SE, Su LJ, Antwi SO, Morris BB, Crawford B, Adams SA, Hebert JR, Fontham ETH, Bensen JT, Mohler JL, Arab L. Recreational and occupational physical activity in relation to prostate cancer aggressiveness: the North Carolina-Louisiana Prostate Cancer Project (PCaP). Cancer Causes Control 2022; 33:875-887. [PMID: 35320830 PMCID: PMC10964168 DOI: 10.1007/s10552-022-01572-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 03/07/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE To examine associations between recreational and occupational physical activity and prostate cancer aggressiveness in a population-based, case-only, incident prostate cancer study. METHODS Data were analyzed from the cross-sectional North Carolina-Louisiana Prostate Cancer Project of African-American (n = 1,023) and European-American (n = 1,079) men newly diagnosed with prostate cancer (CaP). High-aggressive CaP was defined as Gleason sum ≥ 8, or prostate-specific antigen > 20 ng/ml, or Gleason sum ≥ 7 and clinical stage T3-T4. Metabolic equivalent tasks (MET) were estimated from self-reported recreational physical activity in the year prior to diagnosis assessed retrospectively via a validated questionnaire and from occupational physical activity based on job titles. Associations between physical activity variables and high-aggressive prostate cancer were estimated using logistic regression to calculate odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for multiple confounders. RESULTS There was suggestive evidence that walking for 75-150 min/week for exercise is associated with lower odds of high-aggressive prostate cancer compared to no walking (OR = 0.69, 95% CI 0.47-1.01). Physical activity at the current job was associated with 24% lower odds of high-aggressive prostate cancer (highest vs. lowest tertile OR = 0.76, 95% CI 0.56-1.04). However, total MET-h/week of recreational physical activity and accumulation of high-level physical activity at the longest-held job were not associated with high-aggressive prostate cancer. Results did not vary by race. CONCLUSIONS The odds of high-aggressive prostate cancer were lower among men who walk for exercise and those engaged in occupations with high activity levels.
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Affiliation(s)
- Susan E Steck
- Epidemiology and Biostatistics, and Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Room 456, Columbia, SC, 29208, USA.
| | - L Joseph Su
- Department of Epidemiology, Fay W. Boozman College of Public Health, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Samuel O Antwi
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Bonny B Morris
- Wake Forest Baptist Medical Comprehensive Cancer Center, Winston-Salem, NC, USA
| | - Brittany Crawford
- Epidemiology and Biostatistics, and Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Swann Arp Adams
- Epidemiology and Biostatistics, and Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- College of Nursing, University of South Carolina, Columbia, SC, USA
| | - James R Hebert
- Epidemiology and Biostatistics, and Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Elizabeth T H Fontham
- School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | - Jeannette T Bensen
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - James L Mohler
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Lenore Arab
- David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
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16
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Sartorius K, Antwi SO, Chuturgoon A, Roberts LR, Kramvis A. RNA Therapeutic Options to Manage Aberrant Signaling Pathways in Hepatocellular Carcinoma: Dream or Reality? Front Oncol 2022; 12:891812. [PMID: 35600358 PMCID: PMC9115561 DOI: 10.3389/fonc.2022.891812] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 04/04/2022] [Indexed: 11/24/2022] Open
Abstract
Despite the early promise of RNA therapeutics as a magic bullet to modulate aberrant signaling in cancer, this field remains a work-in-progress. Nevertheless, RNA therapeutics is now a reality for the treatment of viral diseases (COVID-19) and offers great promise for cancer. This review paper specifically investigates RNAi as a therapeutic option for HCC and discusses a range of RNAi technology including anti-sense oligonucleotides (ASOs), Aptamers, small interfering RNA (siRNA), ribozymes, riboswitches and CRISPR/Cas9 technology. The use of these RNAi based interventions is specifically outlined in three primary strategies, namely, repressing angiogenesis, the suppression of cell proliferation and the promotion of apoptosis. We also discuss some of the inherent chemical and delivery problems, as well as targeting issues and immunogenic reaction to RNAi interventions.
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Affiliation(s)
- Kurt Sartorius
- Hepatitis Virus Diversity Research Unit, School of Internal Medicine, University of the Witwatersrand, Johannesburg, South Africa.,The Africa Hepatopancreatobiliary Cancer Consortium (AHPBCC), Mayo Clinic, Jacksonville, FL, United States.,Department of Surgery, KZN Kwazulu-Natal (UKZN) Gastrointestinal Cancer Research Centre, Durban, South Africa
| | - Samuel O Antwi
- The Africa Hepatopancreatobiliary Cancer Consortium (AHPBCC), Mayo Clinic, Jacksonville, FL, United States.,Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, United States
| | - Anil Chuturgoon
- Discipline of Medical Biochemistry, School of Laboratory Medicine and Medical Sciences, College of Health Science, University of KwaZulu-Natal, Durban, South Africa
| | - Lewis R Roberts
- The Africa Hepatopancreatobiliary Cancer Consortium (AHPBCC), Mayo Clinic, Jacksonville, FL, United States.,Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States
| | - Anna Kramvis
- Hepatitis Virus Diversity Research Unit, School of Internal Medicine, University of the Witwatersrand, Johannesburg, South Africa
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Thomas J, Liao LM, Sinha R, Patel T, Antwi SO. Hepatocellular Carcinoma Risk Prediction in the NIH-AARP Diet and Health Study Cohort: A Machine Learning Approach. J Hepatocell Carcinoma 2022; 9:69-81. [PMID: 35211426 PMCID: PMC8858015 DOI: 10.2147/jhc.s341045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 12/21/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Prediction of hepatocellular carcinoma (HCC) development in persons with known risk factors remain a challenge and is an urgent unmet need, considering projected increases in HCC incidence and mortality in the US. We aimed to use machine learning techniques to identify a set of demographic, lifestyle, and health history information that can be used simultaneously for population-level HCC risk prediction. METHODS Data from 377,065 participants of the NIH-AARP Diet and Health Study, among whom 647 developed HCC over 16 years of follow-up, were analyzed. The sample was randomly divided into independent training (60%) and validation (40%) sets. We evaluated 123 participant characteristics and tested 15 different machine learning algorithms for robustness in predicting HCC risk. Separately, we evaluated variables selected from multivariable logistic regression for risk prediction. RESULTS The random under-sampling boosting (RUSBoost) algorithm performed best during model testing. Fourteen participant characteristics were selected for risk prediction based on differences between cases and controls (Bonferroni-corrected p-values <0.0004) and from the most frequently used variables in the initial two decision trees of the RUSBoost learner trees. A predictive model based on the 14 variables had an AUC of 0.72 (sensitivity=0.68, specificity=0.63) and independent validation AUC of 0.65 (sensitivity=0.68, specificity=0.63). A subset of 9 variables identified through logistic regression also had an AUC of 0.72 (sensitivity=0.67, specificity=0.63) and independent validation AUC of 0.65 (sensitivity=0.70, specificity=0.61). CONCLUSION Population-level HCC risk prediction can be performed with a machine learning-based algorithm and could inform strategies for improving HCC risk reduction in at-risk groups.
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Affiliation(s)
- Jonathan Thomas
- Department of Transplantation, Mayo Clinic, Jacksonville, FL, USA
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, The National Cancer Institute, Bethesda, MD, USA
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, The National Cancer Institute, Bethesda, MD, USA
| | - Tushar Patel
- Department of Transplantation, Mayo Clinic, Jacksonville, FL, USA
| | - Samuel O Antwi
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA,Correspondence: Samuel O Antwi, Department of Quantitative Health Sciences, Mayo Clinic, 4500 San Pablo Road South, Vincent Stabile Building 756N, Jacksonville, FL, 32224, USA, Tel +1-904-953-0310, Fax +1-904-953-1447, Email
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18
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Antwi SO, Rabe KG, Bamlet WR, Meyer M, Chandra S, Fagan SE, Hu C, Couch FJ, McWilliams RR, Oberg AL, Petersen GM. Influence of Cancer Susceptibility Gene Mutations and ABO Blood Group of Pancreatic Cancer Probands on Concomitant Risk to First-Degree Relatives. Cancer Epidemiol Biomarkers Prev 2022; 31:372-381. [PMID: 34782396 PMCID: PMC8825751 DOI: 10.1158/1055-9965.epi-21-0745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 09/16/2021] [Accepted: 11/03/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND ABO blood group is associated with pancreatic cancer risk. Whether ABO blood group alone or when combined with inherited mutation status of index pancreatic cancer cases (probands) can enhance pancreatic cancer risk estimation in first-degree relatives (FDR) is unclear. We examined FDRs' risk for pancreatic cancer based on probands' ABO blood group and probands' cancer susceptibility gene mutation status. METHODS Data on 23,739 FDRs, identified through 3,268 pancreatic cancer probands, were analyzed. Probands' ABO blood groups were determined serologically or genetically, and 20 cancer susceptibility genes were used to classify probands as "mutation-positive" or "mutation-negative." SIRs and 95% confidence intervals (CI) were calculated, comparing observed pancreatic cancer cases in the FDRs with the number expected in SEER-21 (reference population). RESULTS Overall, FDRs had 2-fold risk of pancreatic cancer (SIR = 2.00; 95% CI = 1.79-2.22). Pancreatic cancer risk was higher in FDRs of mutation-positive (SIR = 3.80; 95% CI = 2.81-5.02) than mutation-negative (SIR = 1.79; 95% CI = 1.57-2.04) probands (P < 0.001). The magnitude of risk did not differ by ABO blood group alone (SIRblood-group-O = 1.57; 95% CI = 1.20-2.03, SIRnon-O = 1.83; 95% CI = 1.53-2.17; P = 0.33). Among FDRs of probands with non-O blood group, pancreatic cancer risk was higher in FDRs of mutation-positive (SIR = 3.98; 95% CI = 2.62-5.80) than mutation-negative (SIR = 1.66; 95% CI = 1.35-2.03) probands (P < 0.001), but risk magnitudes were statistically similar when probands had blood group O (SIRmutation-positive = 2.65; 95% CI = 1.09-5.47, SIRmutation-negative = 1.48; 95% CI = 1.06-5.47; P = 0.16). CONCLUSIONS There is a range of pancreatic cancer risk to FDRs according to probands' germline mutation status and ABO blood group, ranging from 1.48 for FDRs of probands with blood group O and mutation-negative to 3.98 for FDRs of probands with non-O blood group and mutation-positive. IMPACT Combined ABO blood group and germline mutation status of probands can inform pancreatic cancer risk estimation in FDRs.
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Affiliation(s)
- Samuel O. Antwi
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Kari G. Rabe
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - William R. Bamlet
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Margaret Meyer
- Department of Medical and Molecular Genetics, Indiana University, IN, USA
| | - Shruti Chandra
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Sarah E. Fagan
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD
| | - Chunling Hu
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | - Ann L. Oberg
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Gloria M. Petersen
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
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19
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ReFaey K, Tripathi S, Grewal SS, Bhargav AG, Quinones DJ, Chaichana KL, Antwi SO, Cooper LT, Meyer FB, Dronca RS, Diasio RB, Quinones-Hinojosa A. Cancer Mortality Rates Increasing vs Cardiovascular Disease Mortality Decreasing in the World: Future Implications. Mayo Clin Proc Innov Qual Outcomes 2021; 5:645-653. [PMID: 34195556 PMCID: PMC8240359 DOI: 10.1016/j.mayocpiqo.2021.05.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Objective To highlight the current global trends in mortality for cardiovascular disease and cancer. Methods The World Health Organization and the World Bank DataBank databases were used to analyze mortality rates for cancer and cardiovascular disease by calculating age-standardized mortality rates (ASRs) from 2000 to 2015 for high-income, upper-middle-income, and lower-middle-income countries. Data for cancer mortality and population for 43 countries representing 5 of the 7 continents (except Australia and Antarctica) were analyzed. Results From 2000 to 2015, there was an increase in the ASR for cancer for both men and women irrespective of a country’s income status, representing an overall 7% increase in cancer ASR (Pearson r, +0.99; P<.00001). We report a higher ASR for cancer in high-income countries than in upper-middle-income and lower-middle-income countries specifically; high-income countries saw a 3% increase in cancer ASR vs +31% for upper-middle-income and +19% for lower-middle-income countries (P<.01). There has been a decrease in the ASR for cardiovascular disease for the 15 years analyzed (P<.00001). In addition, high-income countries had a higher ASR for cardiovascular disease than upper-middle-income countries during the 15-year period (P<.05). Conclusion We suspect that because of early detection and targeted interventions, cardiovascular disease mortality rates have decreased during the past decade. On the basis of our results, cancer mortality rates continue to rise, with the projection of surpassing cardiovascular disease mortality rates in the near future.
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Affiliation(s)
- Karim ReFaey
- Neurologic Surgery Department, Mayo Clinic, Jacksonville, FL.,National Center for Adaptive Neurotechnologies, Albany, NY
| | - Shashwat Tripathi
- Neurologic Surgery Department, Mayo Clinic, Jacksonville, FL.,Feinberg School of Medicine, Northwestern University, Chicago, IL
| | | | - Adip G Bhargav
- Neurologic Surgery Department, Mayo Clinic, Rochester, MN.,Mayo Clinic Alix School of Medicine, Mayo Clinic, Rochester, MN
| | | | - Kaisorn L Chaichana
- Neurologic Surgery Department, Mayo Clinic, Jacksonville, FL.,Otolaryngology-Head and Neck Surgery (ENT) Department, Mayo Clinic, Jacksonville, FL
| | - Samuel O Antwi
- Department of Health Sciences Research and Epidemiology, Mayo Clinic, Jacksonville, FL
| | | | | | - Roxana S Dronca
- Hematology Oncology Department, Mayo Clinic, Jacksonville, FL
| | | | - Alfredo Quinones-Hinojosa
- Neurologic Surgery Department, Mayo Clinic, Jacksonville, FL.,Otolaryngology-Head and Neck Surgery (ENT) Department, Mayo Clinic, Jacksonville, FL.,Molecular Neuroscience Department, Mayo Clinic, Jacksonville, FL.,Cancer Biology Department, Mayo Clinic, Jacksonville, FL
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20
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Ghoneim DH, Zhu J, Zheng W, Long J, Murff HJ, Ye F, Setiawan VW, Wilkens LR, Khankari NK, Haycock P, Antwi SO, Yang Y, Arslan AA, Beane Freeman LE, Bracci PM, Canzian F, Du M, Gallinger S, Giles GG, Goodman PJ, Kooperberg C, Le Marchand L, Neale RE, Scelo G, Visvanathan K, White E, Albanes D, Amiano P, Andreotti G, Babic A, Bamlet WR, Berndt SI, Brais LK, Brennan P, Bueno-de-Mesquita B, Buring JE, Campbell PT, Rabe KG, Chanock SJ, Duggal P, Fuchs CS, Gaziano JM, Goggins MG, Hackert T, Hassan MM, Helzlsouer KJ, Holly EA, Hoover RN, Katske V, Kurtz RC, Lee IM, Malats N, Milne RL, Murphy N, Oberg AL, Porta M, Rothman N, Sesso HD, Silverman DT, Thompson IM, Wactawski-Wende J, Wang X, Wentzensen N, Yu H, Zeleniuch-Jacquotte A, Yu K, Wolpin BM, Jacobs EJ, Duell EJ, Risch HA, Petersen GM, Amundadottir LT, Kraft P, Klein AP, Stolzenberg-Solomon RZ, Shu XO, Wu L. Mendelian Randomization Analysis of n-6 Polyunsaturated Fatty Acid Levels and Pancreatic Cancer Risk. Cancer Epidemiol Biomarkers Prev 2020; 29:2735-2739. [PMID: 32967863 PMCID: PMC7710600 DOI: 10.1158/1055-9965.epi-20-0651] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 06/21/2020] [Accepted: 09/18/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Whether circulating polyunsaturated fatty acid (PUFA) levels are associated with pancreatic cancer risk is uncertain. Mendelian randomization (MR) represents a study design using genetic instruments to better characterize the relationship between exposure and outcome. METHODS We utilized data from genome-wide association studies within the Pancreatic Cancer Cohort Consortium and Pancreatic Cancer Case-Control Consortium, involving approximately 9,269 cases and 12,530 controls of European descent, to evaluate associations between pancreatic cancer risk and genetically predicted plasma n-6 PUFA levels. Conventional MR analyses were performed using individual-level and summary-level data. RESULTS Using genetic instruments, we did not find evidence of associations between genetically predicted plasma n-6 PUFA levels and pancreatic cancer risk [estimates per one SD increase in each PUFA-specific weighted genetic score using summary statistics: linoleic acid odds ratio (OR) = 1.00, 95% confidence interval (CI) = 0.98-1.02; arachidonic acid OR = 1.00, 95% CI = 0.99-1.01; and dihomo-gamma-linolenic acid OR = 0.95, 95% CI = 0.87-1.02]. The OR estimates remained virtually unchanged after adjustment for covariates, using individual-level data or summary statistics, or stratification by age and sex. CONCLUSIONS Our results suggest that variations of genetically determined plasma n-6 PUFA levels are not associated with pancreatic cancer risk. IMPACT These results suggest that modifying n-6 PUFA levels through food sources or supplementation may not influence risk of pancreatic cancer.
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Affiliation(s)
- Dalia H Ghoneim
- Division of Cancer Epidemiology, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii
| | - Jingjing Zhu
- Division of Cancer Epidemiology, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Harvey J Murff
- Division of General Internal Medicine, Department of Medicine, Vanderbilt University, Nashville, Tennessee
| | - Fei Ye
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Veronica Wendy Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Lynne R Wilkens
- Division of Cancer Epidemiology, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii
| | - Nikhil K Khankari
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Philip Haycock
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, England, United Kingdom
| | - Samuel O Antwi
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida
| | - Yaohua Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Alan A Arslan
- Departments of Obstetrics and Gynecology, Population Health and Environmental Medicine, NYU Perlmutter Comprehensive Cancer Center, New York, New York
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Mengmeng Du
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Steven Gallinger
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, Ontario, Canada
| | - Graham G Giles
- Division of Cancer Epidemiology, 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
| | - Phyllis J Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Loïc Le Marchand
- Division of Cancer Epidemiology, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii
| | - Rachel E Neale
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Emily White
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Pilar Amiano
- Ministry of Health of the Basque Government, Public Health Division of Gipuzkoa, Biodonostia Health Research Institute, Donostia-San Sebastian; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Gabriella Andreotti
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Ana Babic
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - William R Bamlet
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Lauren K Brais
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - 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 Centre, Utrecht, the Netherlands
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Julie E Buring
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Kari G Rabe
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Priya Duggal
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
| | - Charles S Fuchs
- Yale Cancer Center, New Haven, Connecticut
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut
- Smilow Cancer Hospital, New Haven, Connecticut
| | - J Michael Gaziano
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Boston Veteran Affairs Healthcare System, Boston, Massachusetts
| | - Michael G Goggins
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Thilo Hackert
- Department of General, Visceral and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany
| | - Manal M Hassan
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kathy J Helzlsouer
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Science, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Verena Katske
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Robert C Kurtz
- Gastroenterology, Hepatology, and Nutrition Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - I-Min Lee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Núria Malats
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center, Madrid, Spain
| | - Roger L Milne
- Division of Cancer Epidemiology, 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
| | - Neil Murphy
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Ann L Oberg
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Miquel Porta
- Hospital del Mar Institute of Medical Research (IMIM), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Howard D Sesso
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Ian M Thompson
- CHRISTUS Santa Rosa Hospital - Medical Center, San Antonio, Texas
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University of Buffalo, Buffalo, New York
| | - Xiaoliang Wang
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Herbert Yu
- Division of Cancer Epidemiology, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii
| | - Anne Zeleniuch-Jacquotte
- Departments of Population Health and Environmental Medicine, NYU Perlmutter Comprehensive Cancer Center, New York, New York
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Brian M Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Eric J Jacobs
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Eric J Duell
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Bellvitge Biomedical Research Institute (IDIBELL), Catalan Institute of Oncology (ICO), Barcelona, Spain
| | - Harvey A Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Gloria M Petersen
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Laufey T Amundadottir
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Peter Kraft
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts
| | - Alison P Klein
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Rachel Z Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
| | - Lang Wu
- Division of Cancer Epidemiology, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii.
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Antwi SO, Bamlet WR, Cawthon RM, Rabe KG, Druliner BR, Sicotte H, Jatoi A, Mahipal A, Boardman LA, Oberg AL, Petersen GM. Shorter Treatment-Naïve Leukocyte Telomere Length is Associated with Poorer Overall Survival of Patients with Pancreatic Ductal Adenocarcinoma. Cancer Epidemiol Biomarkers Prev 2020; 30:210-216. [PMID: 33187969 DOI: 10.1158/1055-9965.epi-20-1279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 10/14/2020] [Accepted: 11/02/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Critically shortened telomeres contribute to chromosomal instability and neoplastic transformation and are associated with early death of patients with certain cancer types. Shorter leukocyte telomere length (LTL) has been associated with higher risk for pancreatic ductal adenocarcinoma (PDAC) and might be associated also with survival of patients with PDAC. We investigated the association between treatment-naïve LTL and overall survival of patients with incident PDAC. METHODS The study included 642 consecutively enrolled PDAC patients in the Mayo Clinic Biospecimen Resource for Pancreas Research. Blood samples were obtained at the time of diagnosis, before the start of cancer treatment, from which LTL was assayed by qRT-PCR. LTL was first modeled as a continuous variable (per-interquartile range decrease in LTL) and then as a categorized variable (short, medium, long). Multivariable-adjusted HRs and 95% confidence intervals (CI) were calculated for overall mortality using Cox proportional hazard models. RESULTS Shorter treatment-naïve LTL was associated with higher mortality among patients with PDAC (HRcontinuous = 1.13, 95% CI: 1.01-1.28, P = 0.03; HRshortest vs. longest LTL = 1.29, 95% CI: 1.05-1.59, P trend = 0.01). There was a difference in the association between LTL and overall mortality by tumor stage at diagnosis; resectable tumors (HRcontinuous = 0.91; 95% CI: 0.73-1.12), locally advanced tumors (HRcontinuous = 1.29; 95% CI: 1.07-1.56), and metastatic tumors (HRcontinuous = 1.17; 95% CI: 0.96-1.42), P interaction = 0.04. CONCLUSION Shorter treatment-naïve LTL is associated with poorer overall survival of patients with incident PDAC. IMPACT Peripheral blood LTL might be a prognostic marker for PDAC.
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Affiliation(s)
- Samuel O Antwi
- Division of Epidemiology, Mayo Clinic, Jacksonville, Florida.
| | - William R Bamlet
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Richard M Cawthon
- Department of Human Genetics, University of Utah, Salt Lake City, Utah
| | - Kari G Rabe
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | | | - Hugues Sicotte
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Aminah Jatoi
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota
| | - Amit Mahipal
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota
| | - Lisa A Boardman
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Ann L Oberg
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
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22
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Wongjarupong N, Yonli AT, Nagalo BM, Djigma FW, Somda SK, Hassan MA, Mohamed EA, Sorgho AP, Compaore TR, Soubeiga ST, Kiendrebeogo I, Sanou M, Diarra B, Yang HI, Chen CJ, Ouattara AK, Zohoncon TM, Martinson JJ, Buetow K, Chamcheu JC, Antwi SO, Borad MJ, Simpore J, Roberts LR. Characteristics of Patients With Chronic Hepatitis B Virus Infection With Genotype E Predominance in Burkina Faso. Hepatol Commun 2020; 4:1781-1792. [PMID: 33305149 PMCID: PMC7706297 DOI: 10.1002/hep4.1595] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 07/29/2020] [Accepted: 07/29/2020] [Indexed: 12/14/2022] Open
Abstract
Hepatitis B virus (HBV) genotype E (HBV‐E) accounts for the majority of chronic hepatitis B (CHB) infections in West Africa. We aimed to determine factors associated with HBV‐E‐induced hepatocellular carcinoma (HCC) in West Africa. Data on patients from Burkina Faso who were hepatitis B surface antigen positive (HBsAg+) and had CHB were analyzed. HBV viral load and hepatitis B e antigen (HBeAg) status were measured in 3,885 individuals with CHB without HCC (CHB HCC−) and 59 individuals with CHB with HCC (CHB HCC+). HBV genotyping was performed for 364 subjects with CHB HCC− and 41 subjects with CHB HCC+. Overall, 2.5% of the CHB HCC− group was HBeAg+ compared with 0% of the CHB HCC+ group. Of the 364 patients who were CHB HCC− with available genotyping, the frequencies of HBV genotypes E and C/E were 70.3% and 12.9%, respectively. Age (odds ratio [OR] for older age, 1.08; 95% confidence interval [CI], 1.06‐1.10 per 1‐year increase in age), male sex (OR, 2.03; 95% CI, 1.11‐3.69), and HBV viremia (OR, 1.48; 95% CI, 1.31‐1.67 per 1 log10 IU/mL) were each associated with HCC diagnosis. Patients with genotype E had a lower HBeAg prevalence (6.3% vs. 14.9%), lower HBV viral load, and higher prevalence of cirrhosis (14.5% vs. 4.8%) than patients with genotype C/E. Conclusion: HBV‐E is the most common circulating strain (70.3%) in West African patients. HCC was associated with older age, male sex, and high HBV viral load. It is expected that these results will further inform guidance on clinical management of HBV infection in West Africa.
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Affiliation(s)
| | - Albert Theophane Yonli
- Department of Biochemistry and Microbiology Pietro Annigonni Biomolecular Research Center Ouagadougou Burkina Faso West Africa
| | | | - Florencia Wendkuuni Djigma
- Department of Biochemistry and Microbiology Pietro Annigonni Biomolecular Research Center Ouagadougou Burkina Faso West Africa
| | - Sosthene Kounpielime Somda
- Department of Biochemistry and Microbiology Pietro Annigonni Biomolecular Research Center Ouagadougou Burkina Faso West Africa
| | - Mohamed A Hassan
- Division of Gastroenterology and Hepatology Mayo Clinic Rochester MN
| | - Essa A Mohamed
- Division of Gastroenterology and Hepatology Mayo Clinic Rochester MN
| | - Abel Pegdwende Sorgho
- Department of Biochemistry and Microbiology Pietro Annigonni Biomolecular Research Center Ouagadougou Burkina Faso West Africa
| | - Tegwinde Rebeca Compaore
- Department of Biochemistry and Microbiology Pietro Annigonni Biomolecular Research Center Ouagadougou Burkina Faso West Africa
| | - Serge Theophile Soubeiga
- Department of Biochemistry and Microbiology Pietro Annigonni Biomolecular Research Center Ouagadougou Burkina Faso West Africa
| | - Isabelle Kiendrebeogo
- Department of Biochemistry and Microbiology Pietro Annigonni Biomolecular Research Center Ouagadougou Burkina Faso West Africa
| | - Mahamoudou Sanou
- Department of Biochemistry and Microbiology Pietro Annigonni Biomolecular Research Center Ouagadougou Burkina Faso West Africa
| | - Birama Diarra
- Department of Biochemistry and Microbiology Pietro Annigonni Biomolecular Research Center Ouagadougou Burkina Faso West Africa
| | - Hwai-I Yang
- Genomics Research Center Academia Sinica Taipei Taiwan
| | | | - Abdoul K Ouattara
- Department of Biochemistry and Microbiology Pietro Annigonni Biomolecular Research Center Ouagadougou Burkina Faso West Africa
| | - Théodora M Zohoncon
- Department of Biochemistry and Microbiology Pietro Annigonni Biomolecular Research Center Ouagadougou Burkina Faso West Africa
| | - Jeremy J Martinson
- Division of Infectious Diseases and Microbiology University of Pittsburgh Pittsburgh PA
| | - Kenneth Buetow
- Computational Sciences and Informatics Program for Complex Adaptive System Arizona State University Tempe AZ
| | | | - Samuel O Antwi
- Department of Health Sciences Research Mayo Clinic Jacksonville FL
| | - Mitesh J Borad
- Division of Hematology and Medical Oncology Mayo Clinic Hospital Phoenix AZ
| | - Jacques Simpore
- Department of Biochemistry and Microbiology Pietro Annigonni Biomolecular Research Center Ouagadougou Burkina Faso West Africa
| | - Lewis R Roberts
- Division of Gastroenterology and Hepatology Mayo Clinic Rochester MN
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Antwi SO. Reply to: Comments on "One-carbon metabolism-related micronutrients intake and risk for hepatocellular carcinoma: A prospective cohort study". Int J Cancer 2020; 148:254. [PMID: 32621753 DOI: 10.1002/ijc.33186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 06/26/2020] [Indexed: 11/08/2022]
Affiliation(s)
- Samuel O Antwi
- Department of Health Sciences Research, Division of Epidemiology, Mayo Clinic, Jacksonville, Florida, USA
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24
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Antwi SO, Petrick JL, Campbell PT, Norez DA, Stevens VL, Liao LM, Roberts LR, Patel T, McGlynn KA. One-carbon metabolism-related micronutrients intake and risk for hepatocellular carcinoma: A prospective cohort study. Int J Cancer 2020; 147:2075-2090. [PMID: 32285447 DOI: 10.1002/ijc.33007] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 03/16/2020] [Accepted: 04/01/2020] [Indexed: 12/14/2022]
Abstract
Deficient intake of micronutrients involved in one-carbon metabolism (eg, choline, methionine, vitamin B12 and folic acid) leads to hepatocellular carcinoma (HCC) development in rodents, but is under-investigated in humans. We investigated the association between one-carbon metabolism-related micronutrient intake and HCC risk in a prospective cohort of 494 860 participants with 16 years of follow-up in the NIH-AARP study. Dietary intakes and supplement use were ascertained at baseline using a food-frequency questionnaire. Total intake (diet plus supplements) of the following one-carbon metabolism-related micronutrients were calculated: folate, methionine and vitamins B2 (riboflavin), B3 (niacin), B6 and B12 . These micronutrients were examined both individually and simultaneously, with adjustment for covariates. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). Over the 16-year follow-up period, 647 incident HCC cases were diagnosed. When examined individually, higher total vitamin B3 intake was associated with a lower HCC risk (HRQ5 vs Q1 = 0.60; 95% CI = 0.42-0.85; Ptrend = .008), and the association remained significant when all six micronutrients were examined simultaneously (HRQ5 vs Q1 = 0.32; 95% CI = 0.18-0.55; Ptrend < .0001). Among participants with >3 years of follow-up, higher total vitamin B3 intake was again associated with lower risk (HRQ5 vs Q1 = 0.37; 95% CI = 0.20-0.68; Ptrend = .001), whereas higher total vitamin B6 intake was associated with higher risk (HRQ5 vs Q1 = 2.04; 95% CI = 1.02-4.07; Ptrend = .04). Restricted cubic spline analyses showed a dose-response inverse association between total vitamin B3 intake and HCC risk, and dose-response positive association between total vitamin B6 intake and HCC risk. The study suggests that higher vitamin B3 intake is associated with lower HCC risk, whereas higher vitamin B6 intake is associated with increased risk.
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Affiliation(s)
- Samuel O Antwi
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida, USA
| | - Jessica L Petrick
- Slone Epidemiology Center, Boston University, Boston, Massachusetts, USA
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, USA
| | - Daniel A Norez
- Health Science Center, University of Florida, Jacksonville, Florida, USA
| | - Victoria L Stevens
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, USA
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, The National Cancer Institute, Bethesda, Maryland, USA
| | - Lewis R Roberts
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Tushar Patel
- Department of Transplantation, Mayo Clinic, Jacksonville, Florida, USA
| | - Katherine A McGlynn
- Division of Cancer Epidemiology and Genetics, The National Cancer Institute, Bethesda, Maryland, USA
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Antwi SO, Bamlet WR, Rabe KG, Cawthon RM, Umudi I, Druliner BR, Sicotte H, Oberg AL, Jatoi A, Boardman LA, Petersen GM. Leukocyte Telomere Length and Its Interaction with Germline Variation in Telomere-Related Genes in Relation to Pancreatic Adenocarcinoma Risk. Cancer Epidemiol Biomarkers Prev 2020; 29:1492-1500. [PMID: 32312758 DOI: 10.1158/1055-9965.epi-19-1597] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 03/18/2020] [Accepted: 04/15/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Leukocyte telomere length (LTL) has been associated with risk of multiple cancers, but its association with pancreatic ductal adenocarcinoma (PDAC) is unclear. We therefore investigated the association between peripheral blood LTL and PDAC risk, and examined effect modification by candidate SNPs previously reported to be associated with variation in LTL. METHODS A case-control study of 1,460 PDAC cases and 1,459 frequency-matched controls was performed using biospecimens and data from the Mayo Clinic Biospecimen Resource for Pancreas Research. Quantitative PCR was used to measure LTL and categorized into tertiles based on sex-specific control distribution. Eleven telomere-related SNPs also were genotyped. Logistic regression was used to calculate ORs and 95% confidence intervals (CI). RESULTS Shorter peripheral blood LTL was associated with a higher risk of PDAC (ORT1vsT3 = 1.26, 95% CI = 1.03-1.54, P trend = 0.02; ORcontinuous = 1.14, 95% CI = 1.02-1.28), but the association was restricted to cases with treatment-naïve blood samples (ORT1vsT3 = 1.51, 95% CI = 1.16-1.96, P trend = 0.002; ORcontinuous = 1.25, 95% CI = 1.08-1.45) and not cases whose blood samples were collected after initiation of cancer therapy (ORT1vsT3 = 1.10, 95% CI = 0.87-1.39, P trend = 0.42; ORcontinuous = 1.08, 95% CI = 0.94-1.23). Three SNPs (TERC-rs10936599, ACYP2-rs11125529, and TERC-rs1317082) were each associated with interindividual variation in LTL among controls, but there was no evidence of effect modification by these SNPs. CONCLUSIONS Treatment-naïve short LTL is associated with a higher risk of PDAC, and the association does not differ by germline variation in the candidate telomere-related SNPs examined. IMPACT Peripheral blood LTL might serve as a molecular marker for risk modeling to identify persons at high risk of PDAC.
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Affiliation(s)
- Samuel O Antwi
- Division of Epidemiology, Mayo Clinic, Jacksonville, Florida.
| | - William R Bamlet
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Kari G Rabe
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Richard M Cawthon
- Department of Human Genetics, University of Utah, Salt Lake City, Utah
| | - Isoken Umudi
- Division of Epidemiology, Mayo Clinic, Jacksonville, Florida
| | - Brooke R Druliner
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Hugues Sicotte
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Ann L Oberg
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Aminah Jatoi
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Lisa A Boardman
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
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Antwi SO, Fagan SE, Chaffee KG, Bamlet WR, Hu C, Polley EC, Hart SN, Shimelis H, Lilyquist J, Gnanaolivu RD, McWilliams RR, Oberg AL, Couch FJ, Petersen GM. Risk of Different Cancers Among First-degree Relatives of Pancreatic Cancer Patients: Influence of Probands' Susceptibility Gene Mutation Status. J Natl Cancer Inst 2020; 111:264-271. [PMID: 29982661 DOI: 10.1093/jnci/djx272] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 11/01/2017] [Accepted: 11/22/2017] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Increased risk of malignancies other than pancreatic cancer (PC) has been reported among first-degree relatives (FDRs) of PC patients; however, the roles of susceptibility gene mutations are unclear. We assessed risk for 15 cancers among FDRs of unselected PC probands. METHODS Data on 17 162 FDRs, with more than 336 000 person-years at risk, identified through 2305 sequential PC probands enrolled at Mayo Clinic (2000-2016) were analyzed. Family history data were provided by the probands. Standardized incidence ratios (SIRs) and 95% confidence intervals (CIs) were calculated, comparing malignancies observed among the FDRs with that expected using Surveillance, Epidemiology, and End Results (SEER) data. Genetic testing was performed among a subset of probands (n = 2094), enabling stratified analyses among FDRs based on whether the related proband tested positive or negative for inherited mutation in 22 sequenced cancer susceptibility genes. All statistical tests were two-sided. RESULTS Compared with SEER, PC risk was twofold higher among FDRs of PC probands (SIR = 2.04, 95% CI = 1.78 to 2.31, P < .001). Primary liver cancer risk was elevated among female FDRs (SIR = 2.10, 95% CI = 1.34 to 3.12, P < .001). PC risk was more elevated among FDRs of mutation-positive probands (SIR = 4.32, 95% CI = 3.10 to 5.86) than FDRs of mutation-negative probands (SIR = 1.77, 95% CI = 1.51 to 2.05, between-group P < .001). FDR PC risk was higher when the related proband was younger than age 60 years at diagnosis and mutation-positive (SIR = 5.24, 95% CI = 2.93 to 8.64) than when the proband was younger than age 60 years but mutation-negative (SIR = 1.76, 95% CI = 1.21 to 2.47, between-group P < .001). Breast (SIR = 1.29, 95% CI = 1.01 to 1.63) and ovarian (SIR = 2.38, 95% CI = 1.30 to 4.00) cancers were elevated among FDRs of mutation-positive probands. CONCLUSIONS Our study substantiates twofold risk of PC among FDRs of PC patients and suggests increased risk for primary liver cancer among female FDRs. FDRs of susceptibility mutation carriers had substantially increased risk for PC and increased risk for breast and ovarian cancers.
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Affiliation(s)
- Samuel O Antwi
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Sarah E Fagan
- Department of Epidemiology, Tulane University, New Orleans, LA
| | - Kari G Chaffee
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - William R Bamlet
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Chunling Hu
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Eric C Polley
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Steven N Hart
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Hermela Shimelis
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Jenna Lilyquist
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | | | | | - Ann L Oberg
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Fergus J Couch
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN.,Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
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Affiliation(s)
- Samuel O Antwi
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | - Tushar Patel
- Department of Transplantation, Mayo Clinic, Jacksonville, FL, USA
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Antwi SO, Bamlet WR, Pedersen KS, Chaffee KG, Risch HA, Shivappa N, Steck SE, Anderson KE, Bracci PM, Polesel J, Serraino D, La Vecchia C, Bosetti C, Li D, Oberg AL, Arslan AA, Albanes D, Duell EJ, Huybrechts I, Amundadottir LT, Hoover R, Mannisto S, Chanock SJ, Zheng W, Shu XO, Stepien M, Canzian F, Bueno-de-Mesquita B, Quirós JR, Zeleniuch-Jacquotte A, Bruinsma F, Milne RL, Giles GG, Hébert JR, Stolzenberg-Solomon RZ, Petersen GM. Pancreatic cancer risk is modulated by inflammatory potential of diet and ABO genotype: a consortia-based evaluation and replication study. Carcinogenesis 2019; 39:1056-1067. [PMID: 29800239 DOI: 10.1093/carcin/bgy072] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 04/30/2018] [Accepted: 05/23/2018] [Indexed: 12/12/2022] Open
Abstract
Diets with high inflammatory potential are suspected to increase risk for pancreatic cancer (PC). Using pooled analyses, we examined whether this association applies to populations from different geographic regions and population subgroups with varying risks for PC, including variation in ABO blood type. Data from six case-control studies (cases, n = 2414; controls, n = 4528) in the Pancreatic Cancer Case-Control Consortium (PanC4) were analyzed, followed by replication in five nested case-control studies (cases, n = 1268; controls, n = 4215) from the Pancreatic Cancer Cohort Consortium (PanScan). Two polymorphisms in the ABO locus (rs505922 and rs8176746) were used to infer participants' blood types. Dietary questionnaire-derived nutrient/food intake was used to compute energy-adjusted dietary inflammatory index (E-DII®) scores to assess inflammatory potential of diet. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using multivariable-adjusted logistic regression. Higher E-DII scores, reflecting greater inflammatory potential of diet, were associated with increased PC risk in PanC4 [ORQ5 versus Q1=2.20, 95% confidence interval (CI) = 1.85-2.61, Ptrend < 0.0001; ORcontinuous = 1.20, 95% CI = 1.17-1.24], and PanScan (ORQ5 versus Q1 = 1.23, 95% CI = 0.92-1.66, Ptrend = 0.008; ORcontinuous = 1.09, 95% CI = 1.02-1.15). As expected, genotype-derived non-O blood type was associated with increased PC risk in both the PanC4 and PanScan studies. Stratified analyses of associations between E-DII quintiles and PC by genotype-derived ABO blood type did not show interaction by blood type (Pinteraction = 0.10 in PanC4 and Pinteraction=0.13 in PanScan). The results show that consuming a pro-inflammatory diet and carrying non-O blood type are each individually, but not interactively, associated with increased PC risk.
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Affiliation(s)
- Samuel O Antwi
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - William R Bamlet
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | - Kari G Chaffee
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Harvey A Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Nitin Shivappa
- Cancer Prevention and Control Program, USA.,Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Susan E Steck
- Cancer Prevention and Control Program, USA.,Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Kristin E Anderson
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Jerry Polesel
- Unit of Epidemiology and Biostatistics, Centro di Riferimento Oncologico, Aviano (PN), Italy
| | - Diego Serraino
- Unit of Epidemiology and Biostatistics, Centro di Riferimento Oncologico, Aviano (PN), Italy
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Cristina Bosetti
- Department of Oncology, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Ann L Oberg
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Alan A Arslan
- Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA.,Department of Population Health, New York University School of Medicine, New York, NY, USA.,Department of Obstetrics and Gynecology, New York University School of Medicine, New York, NY, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Eric J Duell
- Unit of Nutrition and Cancer, Bellvitge Biomedical Research Institute-IDIBELL, Catalan Institute of Oncology-ICO. L'Hospitalet de Llobregat, Barcelona, Spain
| | - Inge Huybrechts
- International Agency for Research on Cancer, World Health Organization, France
| | - Laufey T Amundadottir
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Robert Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Satu Mannisto
- Department of Public Health Solutions, National Institute for Health and Welfare Helsinki, Finland
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN, USA
| | - Magdalena Stepien
- International Agency for Research on Cancer, World Health Organization, France
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, UK.,Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Pantai Valley, Kuala Lumpur, Malaysia
| | | | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, New York, NY, USA.,Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA
| | - Fiona Bruinsma
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, and Centre for Epidemiology and Biostatistics, Melbourne School of Global and Population Health, The University of Melbourne, Melbourne, Australia
| | - Roger L Milne
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, and Centre for Epidemiology and Biostatistics, Melbourne School of Global and Population Health, The University of Melbourne, Melbourne, Australia
| | - Graham G Giles
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, and Centre for Epidemiology and Biostatistics, Melbourne School of Global and Population Health, The University of Melbourne, Melbourne, Australia
| | - James R Hébert
- Cancer Prevention and Control Program, USA.,Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Rachael Z Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Gloria M Petersen
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
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Hlady RA, Zhao X, Pan X, Yang JD, Ahmed F, Antwi SO, Giama NH, Patel T, Roberts LR, Liu C, Robertson KD. Genome-wide discovery and validation of diagnostic DNA methylation-based biomarkers for hepatocellular cancer detection in circulating cell free DNA. Am J Cancer Res 2019; 9:7239-7250. [PMID: 31695765 PMCID: PMC6831291 DOI: 10.7150/thno.35573] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2019] [Accepted: 03/09/2019] [Indexed: 02/06/2023] Open
Abstract
Hepatocellular carcinoma (HCC), the most prevalent form of liver cancer, is growing in incidence but treatment options remain limited, particularly for late stage disease. As liver cirrhosis is the principal risk state for HCC development, markers to detect early HCC within this patient population are urgently needed. Perturbation of epigenetic marks, such as DNA methylation (5mC), is a hallmark of human cancers, including HCC. Identification of regions with consistently altered 5mC levels in circulating cell free DNA (cfDNA) during progression from cirrhosis to HCC could therefore serve as markers for development of minimally-invasive screens of early HCC diagnosis and surveillance. Methods: To discover DNA methylation derived biomarkers of HCC in the background of liver cirrhosis, we profiled genome-wide 5mC landscapes in patient cfDNA using the Infinium HumanMethylation450k BeadChip Array. We further linked these findings to primary tissue data available from TCGA and other public sources. Using biological and statistical frameworks, we selected CpGs that robustly differentiated cirrhosis from HCC in primary tissue and cfDNA followed by validation in an additional independent cohort. Results: We identified CpGs that segregate patients with cirrhosis, from patients with HCC within a cirrhotic liver background, through genome-wide analysis of cfDNA 5mC landscapes. Lasso regression analysis pinpointed a panel of probes in our discovery cohort that were validated in two independent datasets. A panel of five CpGs (cg04645914, cg06215569, cg23663760, cg13781744, and cg07610777) yielded area under the receiver operating characteristic (AUROC) curves of 0.9525, 0.9714, and 0.9528 in cfDNA discovery and tissue validation cohorts 1 and 2, respectively. Validation of a 5-marker panel created from combining hypermethylated and hypomethylated CpGs in an independent cfDNA set by bisulfite pyrosequencing yielded an AUROC of 0.956, compared to the discovery AUROC of 0.996. Conclusion: Our finding that 5mC markers derived from primary tissue did not perform well in cfDNA, compared to those identified directly from cfDNA, reveals potential advantages of starting with cfDNA to discover high performing markers for liquid biopsy development.
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Antwi SO, Van Houten HK, Sangaralingham LR, Patel T. Risk of De Novo Hepatocellular Carcinoma Following Use of Direct Acting Antiviral Medications for Treatment of Chronic Hepatitis C. Cancer Prev Res (Phila) 2019; 12:891-902. [PMID: 31451519 DOI: 10.1158/1940-6207.capr-19-0162] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 07/17/2019] [Accepted: 08/19/2019] [Indexed: 12/17/2022]
Abstract
Direct-acting antivirals (DAA) are now the mainstay of treatment for patients with chronic hepatitis C virus (HCV); however, there is some controversy over whether use of DAAs for HCV, as compared with IFN-based regimens, leads to an increased risk for hepatocellular carcinoma (HCC) development. We investigated the association between use of DAAs and subsequent development of HCC in longitudinal data from patients with HCV from diverse backgrounds (various ages, ethnicities, and geographic regions) across the United States. The design was a retrospective study performed using medical and pharmacy claims from OptumLabs. HCV treatment exposure was categorized as DAA-only, DAA + IFN, any-DAA, or IFN-only. To account for confounding by indication, inverse probability of treatment weighting was performed. Cox proportional hazard models were used to calculate hazard ratios (HR) and 95% confidence intervals (CI). We identified 5,781 patients with HCV with no history of HCC at baseline. Compared with IFN-only regimen, no significant increase in HCC risk was found for use of DAA-only (HR, 1.53; 95% CI, 0.73-3.23), DAA + IFN (HR, 1.02; 95% CI, 0.51-2.06), or any-DAA (HR, 1.04; 95% CI, 0.65-1.65). When stratified by sustained virological response (SVR), we noted a higher HCC risk for DAA-only among patients who achieved SVR post-treatment (HR, 7.53; 95% CI, 1.48-38.34), but the CIs were wide, which might be due to the small sample size of the subgroups. Among those who did not achieve SVR, no association was found for use of DAA-only (HR, 0.59; 95% CI, 0.19-1.91). These findings do not provide compelling evidence for the conception that use of DAAs for HCV is associated with increased risk of HCC development.
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Affiliation(s)
- Samuel O Antwi
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida.
| | - Holly K Van Houten
- Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota.,OptumLabs, Cambridge, Massachusetts
| | - Lindsey R Sangaralingham
- Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota.,OptumLabs, Cambridge, Massachusetts
| | - Tushar Patel
- Department of Transplantation, Mayo Clinic, Jacksonville, Florida.
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Antwi SO, Houten HKV, Sangaralingham LR, Patel T. Abstract LB-150: Risk of de novo hepatocellular carcinoma development following use of direct acting antiviral medications for treatment of chronic hepatitis C virus infection. Cancer Res 2019. [DOI: 10.1158/1538-7445.am2019-lb-150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Direct acting antiviral medications (DAA) have become the mainstay for treatment of chronic hepatitis C virus (HCV) infection. However, some studies have suggested an increased risk of HCC development following use of DAAs for HCV compared with use of interferon-based medications (IFN), while other studies, mostly in Veterans Administration population in the United States, did not show an increase in HCC risk after the use of DAA in patients with HCV. To address these conflicting reports, we investigated the association between use of DAA for HCV and subsequent development of HCC in a large, longitudinal data with broad representation of individuals from various ages, ethnicities, and geographic regions across the United States.
Methods: A retrospective cohort study was performed using medical and pharmacy claims from the OptumLabs® Data Warehouse. The study included 9,532 incident HCV cases (2010-2016) of ages 18 years or older treated with DAA or IFN and did not have a prior diagnosis of HCC before initiation of the antiviral therapy. The participants were categorized into DAA-only or IFN-only groups. To account for confounding by indication, inverse probability of treatment weighting (IPTW) was performed to ensure balance in sociodemographic and treatment related factors between treatment groups. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for HCC risk, comparing DAA-only regimen with IFN-only regimen (reference).
Results: Median follow-up for the entire study cohort was 1.4 years, with a slightly longer follow-up for individuals in the IFN-only group (1.8 years) than for those in the DAA-only group (1.4 years). One hundred and seventy-one incident HCC cases developed during follow-up, with a higher occurrence of HCC in the DAA-only group (n=155; 11.9 cases per 1,000 person-years) than in the IFN-only group (n=16; 8.3 cases per 1,000 person-years). Compared with IFN-only treatment, use of DAA-only for HCV was not associated with an increase in HCC risk (HR=1.47, 95% CI: 0.89-2.42). Similarly, no association was found between use of DAA-only regimen and HCC risk among individuals with cirrhosis (HR=1.28, 95% CI: 0.71-2.31) or those without cirrhosis (HR =1.80, 95% CI: 0.64-5.03). When stratified by sustained virologic response (SVR), a measure of complete viral clearance, we noted a higher HCC risk associated with DAA-only regimen among individuals with SVR (HR=7.83, 95% CI: 1.54-39.88) and a lower risk for DAA-only regimen among those without SVR (HR=0.12, 95% CI: 0.02-0.95); however, the CIs are substantially wide, reflecting the small numbers in these subgroup analyses.
Conclusion: Despite some prior reports of increased risk of HCC development following use of DAA for HCV, this ethnically and geographically diverse study did not find compelling evidence indicating an increased HCC risk associated with use of DAA in patients with HCV when compared with use of IFN.
Citation Format: Samuel O. Antwi, Holly K. Van Houten, Lindsey R. Sangaralingham, Tushar Patel. Risk of de novo hepatocellular carcinoma development following use of direct acting antiviral medications for treatment of chronic hepatitis C virus infection [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr LB-150.
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Mody K, Antwi SO, Hodge DO, Ailawadhi S, Roberts L, Bekaii-Saab T. A SEER-based multi-ethnic picture of advanced intrahepatic cholangiocarcinoma in the United States pre- and post-the advent of gemcitabine/cisplatin. J Gastrointest Oncol 2018; 9:1063-1073. [PMID: 30603125 DOI: 10.21037/jgo.2018.07.09] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Background Cholangiocarcinoma (CCA) is a rare, lethal cancer with 5-year survival of less than 10%. Although incidence rates have been increasing in the United States, ethnic variations in survival have not been investigated. We examined multi-ethnic variation in overall survival (OS) and CCA-specific survival (CSS) using data from the population-based Surveillance Epidemiology and End Results (SEER) program in the 4-year period after introduction of gemcitabine/cisplatin (GC) as treatment for CCA, compared with prior years. Methods The study included data from 5,616 advanced, intrahepatic CCA cases reported in SEER between 1990 and 2013. Multivariable-adjusted hazard ratios (HR) and 95% confidence intervals (CIs) were calculated to examine OS and CSS by ethnicity, age, gender and in the pre- and post-GC era (1990-2000, 2001-2009 vs. 2010-2013). Results Compared to non-Hispanic Whites, Hispanics had poorer 3-year OS (HR 1.11, 95% CI: 1.03-1.20) and 3-year CSS (HR 1.15, 95% CI: 1.05-1.25). Similarly, non-Hispanic Blacks had 3-year OS (HR 1.21, 95% CI: 1.10-1.34) and 3-year CSS (HR 1.21, 95% CI: 1.09-1.35). Males and older patients had shorter survival compared to females and younger patients. OS and CSS were both improved for patients' post-advent of GC. Statistically significant improvement in CSS pre- and post-advent of GC was noted in non-Hispanic Whites, while Hispanics actually had worsened survival. Conclusions Hispanics and non-Hispanic Blacks have worse survival after diagnosis with advanced, intrahepatic CCA. Further studies are needed to determine determinants of poor survival among these groups.
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Affiliation(s)
- Kabir Mody
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, FL, USA
| | - Samuel O Antwi
- Division of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | - David O Hodge
- Division of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | - Sikander Ailawadhi
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, FL, USA
| | - Lewis Roberts
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | - Tanios Bekaii-Saab
- Division of Hematology and Medical Oncology, Mayo Clinic, Scottsdale, AZ, USA
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Antwi SO, Habboush YY, Chase LA, Lee DD, Patel T. Response to Loco-Regional Therapy Predicts Outcomes After Liver Transplantation for Combined Hepatocellular-Cholangiocarcinoma. Ann Hepatol 2018; 17:969-979. [PMID: 30600299 DOI: 10.5604/01.3001.0012.7197] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
INTRODUCTION AND AIM Combined hepatocellular-cholangiocarcinoma (HCC-CCA) is a rare liver malignancy distinct from either hepatocellular carcinoma (HCC) or cholangiocarcinoma. Liver transplantation (LT) is not recommended for HCC-CCA because of suboptimal outcomes. Non-invasive diagnosis of HCC-CCA is extremely challenging; thus, some HCC-CCAs are presumed as HCC on imaging and listed for LT with the correct diagnosis ultimately made on explant pathology. We compared HCC-CCA with HCC to determine the utility of response to pre-transplant loco-regional therapy (LRT) in predicting outcomes for HCC-CCA after LT as a potential means of identifying appropriate HCC-CCA patients for LT. MATERIAL AND METHODS Retrospective review of 19 patients with pathologically confirmed HCC-CCA were individually matched to 38 HCC patients (1:2) based on age, sex, and Milan criteria at listing was performed. The modified response evaluation criteria in solid tumors was used to categorize patients as responders or non-responders to pre-transplant LRT based on imaging performed before and after LRT. Overall survival (OS) and recurrence-free survival (RFS) were examined. RESULTS OS at 3 years post-transplant was 74% for HCC-CCA and 87% for HCC. RFS at 3 years was 74% for HCC-CCA, and 87% for HCC. Among responders to LRT, the 3-year OS was 92% for HCC-CCA and 88% for HCC; among non-responders, 3-year OS was 43% for HCC-CCA and 83% for HCC. Higher 3-year OS was observed among HCC-CCA responders (77%) compared with HCC-CCA non-responders (23%). CONCLUSIONS OS was similarly high among.
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Affiliation(s)
- Samuel O Antwi
- Department of Transplantation, Mayo Clinic, Jacksonville, FL, USA
| | - Yacob Y Habboush
- Department of Transplantation, Mayo Clinic, Jacksonville, FL, USA
| | - Lori A Chase
- Department of Transplantation, Mayo Clinic, Jacksonville, FL, USA
| | - David D Lee
- Department of Transplantation, Mayo Clinic, Jacksonville, FL, USA
| | - Tushar Patel
- Department of Transplantation, Mayo Clinic, Jacksonville, FL, USA
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McWilliams RR, Wieben ED, Chaffee KG, Antwi SO, Raskin L, Olopade OI, Li D, Highsmith WE, Colon-Otero G, Khanna LG, Permuth JB, Olson JE, Frucht H, Genkinger J, Zheng W, Blot WJ, Wu L, Almada LL, Fernandez-Zapico ME, Sicotte H, Pedersen KS, Petersen GM. CDKN2A Germline Rare Coding Variants and Risk of Pancreatic Cancer in Minority Populations. Cancer Epidemiol Biomarkers Prev 2018; 27:1364-1370. [PMID: 30038052 DOI: 10.1158/1055-9965.epi-17-1065] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 02/13/2018] [Accepted: 07/11/2018] [Indexed: 12/20/2022] Open
Abstract
Background: Pathogenic germline mutations in the CDKN2A tumor suppressor gene are rare and associated with highly penetrant familial melanoma and pancreatic cancer in non-Hispanic whites (NHW). To date, the prevalence and impact of CDKN2A rare coding variants (RCV) in racial minority groups remain poorly characterized. We examined the role of CDKN2A RCVs on the risk of pancreatic cancer among minority subjects.Methods: We sequenced CDKN2A in 220 African American (AA) pancreatic cancer cases, 900 noncancer AA controls, and 183 Nigerian controls. RCV frequencies were determined for each group and compared with that of 1,537 NHW patients with pancreatic cancer. Odds ratios (OR) and 95% confidence intervals (CI) were calculated for both a case-case comparison of RCV frequencies in AAs versus NHWs, and case-control comparison between AA cases versus noncancer AA controls plus Nigerian controls. Smaller sets of Hispanic and Native American cases and controls also were sequenced.Results: One novel missense RCV and one novel frameshift RCV were found among AA patients: 400G>A and 258_278del. RCV carrier status was associated with increased risk of pancreatic cancer among AA cases (11/220; OR, 3.3; 95% CI, 1.5-7.1; P = 0.004) compared with AA and Nigerian controls (17/1,083). Further, AA cases had higher frequency of RCVs: 5.0% (OR, 13.4; 95% CI, 4.9-36.7; P < 0.001) compared with NHW cases (0.4%).Conclusions: CDKN2A RCVs are more common in AA than in NHW patients with pancreatic cancer and associated with moderately increased pancreatic cancer risk among AAs.Impact: RCVs in CDKN2A are frequent in AAs and are associated with risk for pancreatic cancer. Cancer Epidemiol Biomarkers Prev; 27(11); 1364-70. ©2018 AACR.
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Affiliation(s)
| | - Eric D Wieben
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, Minnesota.,Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Kari G Chaffee
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Samuel O Antwi
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida
| | - Leon Raskin
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Olufunmilayo I Olopade
- Departments of Medicine and Human Genetics, University of Chicago Medical Center, Chicago, Illinois
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - W Edward Highsmith
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Gerardo Colon-Otero
- Department of Medicine, Division of Hematology/Oncology, Mayo Clinic, Jacksonville, Florida
| | - Lauren G Khanna
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Jennifer B Permuth
- Departments of Cancer Epidemiology and Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, Florida
| | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Harold Frucht
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Jeanine Genkinger
- Department of Epidemiology, Columbia University Medical Center, New York, New York.,Herbert Irving Comprehensive Cancer Center, New York, New York
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - William J Blot
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Lang Wu
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Luciana L Almada
- Schulze Center for Novel Therapeutics, Division of Oncology Research, Mayo Clinic, Rochester, Minnesota
| | - Martin E Fernandez-Zapico
- Schulze Center for Novel Therapeutics, Division of Oncology Research, Mayo Clinic, Rochester, Minnesota
| | - Hugues Sicotte
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | | | - Gloria M Petersen
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
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Antwi SO, Li Z, Mody K, Patel TC. Abstract 1192: Independent and joint use of statins and metformin on overall survival after diagnosis of hepatocellular carcinoma: A SEER-Medicare matched study. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-1192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Hepatocellular carcinoma (HCC) is a lethal malignancy that currently ranks fourth in cancer-related deaths in the US and is projected to become the third leading cause of cancer death in the US by 2030. Thus, there is a pressing need to identify modifying risk factors to improve survival after diagnosis of HCC. Statins and metformin are among the most commonly prescribed medications in the elderly in the US and there are experimental data suggesting that these medications may improve overall survival after cancer diagnosis; however, results from observational studies have been equivocal. We therefore investigated the potential benefits of pre- and post-diagnosis use of statins and metformin both independently and jointly on overall survival after diagnosis of HCC. Methods: The study was performed using data from the Surveillance, Epidemiology, and End Results (SEER-18) registry linked to Medicare claims data and included 8,922 elderly (≥65 years) patients diagnosed with HCC between 2009-2013. Data on metformin and statins use were extracted from the Medicare Part D Claims file and the patients were grouped as statins only users, metformin only users, both statins and metformin users, or neither (i.e., non-users, referent group). We assessed association of both pre-diagnosis (≥2 years) and post-diagnosis statins and metformin use on risk of death after diagnosis of HCC. Statins users were further categorized into high potency statins users (simvastatin, atorvastatin, and rosuvastatin) or low potency statins users (pravastatin, lovastatin, and fluvastatin) and compared with non-users. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs), adjusting for multiple risk factors, including age sex, race, cancer stage at diagnosis, cancer grade, first course therapy, neighborhood level education and income, Charlson comorbidity index, and diabetes severity index. Results: Compared with non-users, post-diagnosis statins use was independently associated with 27% lower risk of death after diagnosis of HCC (HR=0.73, 95% CI: 0.60-0.88; p-value = 0.002), adjusting for pre-diagnosis statins use and other risk factors. Further analysis showed that the association for post-diagnosis statins use is evident only among high potency statins users (HR=0.72, 95% CI: 0.60-0.88; users versus non-users) but not low potency statins users (HR=0.83, 95% CI: 0.55-1.25; users versus non-users). No association was found for pre-diagnosis statins use or for pre- or post-diagnosis metformin use. Conclusions: This study suggests that post-diagnosis statins use, particularly high potency statins use, may improve overall survival after diagnosis of HCC. Metformin use, both before and after diagnosis of HCC, is not associated with overall survival.
Citation Format: Samuel O. Antwi, Zhuo Li, Kabir Mody, Tushar C. Patel. Independent and joint use of statins and metformin on overall survival after diagnosis of hepatocellular carcinoma: A SEER-Medicare matched study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1192.
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Affiliation(s)
| | - Zhuo Li
- Mayo Clinic, Jacksonville, FL
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Abstract
INTRODUCTION AND AIM Despite reports of increased incidence of intrahepatic cholangiocarcinoma (iCCA) in the United States, the impact of age or influences of race and ethnicity are not clear. Disparities in iCCA outcomes across various population subgroups also are not readily recognized due to the rarity of this cancer. We examined ethnic, race, age, and gender variations in iCCA incidence and survival using data from the Surveillance, Epidemiology, and End Results Program (1995-2014). MATERIAL AND METHODS We assessed age-adjusted incidence rates, average annual percentage change in incidence, and hazard ratios (HRs) with 95% confidence intervals (CIs) for all-cause and iCCA-specific mortality. RESULTS Overall, 11,127 cases of iCCA were identified, with an age-adjusted incidence rate of 0.92 per 100,000. The incidence rate increased twofold, from 0.49 per 100,000 in 1995 to 1.49 per 100,000 in 2014, with an average annual rate of increase of 5.49%. The iCCA incidence rate was higher among persons age 45 years or older than those younger than 45 years (1.71 vs. 0.07 per 100,000), among males than females (0.97 vs. 0.88 per 100,000) and among Hispanics than non-Hispanics (1.18 vs. 0.89 per 100,000). Compared to non-Hispanics, Hispanics had poorer 5-year allcause mortality (HR = 1.11, 95%CI: 1.05-1.19) and poorer iCCA-specific mortality (HR = 1.15, 95%CI: 1.07-1.24). Survival rates were poor also for individuals age 45 years or older, men, and Blacks and American Indians/Alaska Natives. CONCLUSION The results demonstrate ethnic, race, age and gender disparities in iCCA incidence and survival, and confirm continued increase in iCCA incidence in the United States.
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Affiliation(s)
| | - Omar Y Mousa
- Department of Transplantation Mayo Clinic, Jacksonville, Florida, United States
| | - Tushar Patel
- Department of Transplantation Mayo Clinic, Jacksonville, Florida, United States
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Hu C, Hart SN, Polley EC, Gnanaolivu R, Shimelis H, Lee KY, Lilyquist J, Na J, Moore R, Antwi SO, Bamlet WR, Chaffee KG, DiCarlo J, Wu Z, Samara R, Kasi PM, McWilliams RR, Petersen GM, Couch FJ. Association Between Inherited Germline Mutations in Cancer Predisposition Genes and Risk of Pancreatic Cancer. JAMA 2018; 319:2401-2409. [PMID: 29922827 PMCID: PMC6092184 DOI: 10.1001/jama.2018.6228] [Citation(s) in RCA: 327] [Impact Index Per Article: 54.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
IMPORTANCE Individuals genetically predisposed to pancreatic cancer may benefit from early detection. Genes that predispose to pancreatic cancer and the risks of pancreatic cancer associated with mutations in these genes are not well defined. OBJECTIVE To determine whether inherited germline mutations in cancer predisposition genes are associated with increased risks of pancreatic cancer. DESIGN, SETTING, AND PARTICIPANTS Case-control analysis to identify pancreatic cancer predisposition genes; longitudinal analysis of patients with pancreatic cancer for prognosis. The study included 3030 adults diagnosed as having pancreatic cancer and enrolled in a Mayo Clinic registry between October 12, 2000, and March 31, 2016, with last follow-up on June 22, 2017. Reference controls were 123 136 individuals with exome sequence data in the public Genome Aggregation Database and 53 105 in the Exome Aggregation Consortium database. EXPOSURES Individuals were classified based on carrying a deleterious mutation in cancer predisposition genes and having a personal or family history of cancer. MAIN OUTCOMES AND MEASURES Germline mutations in coding regions of 21 cancer predisposition genes were identified by sequencing of products from a custom multiplex polymerase chain reaction-based panel; associations of genes with pancreatic cancer were assessed by comparing frequency of mutations in genes of pancreatic cancer patients with those of reference controls. RESULTS Comparing 3030 case patients with pancreatic cancer (43.2% female; 95.6% non-Hispanic white; mean age at diagnosis, 65.3 [SD, 10.7] years) with reference controls, significant associations were observed between pancreatic cancer and mutations in CDKN2A (0.3% of cases and 0.02% of controls; odds ratio [OR], 12.33; 95% CI, 5.43-25.61); TP53 (0.2% of cases and 0.02% of controls; OR, 6.70; 95% CI, 2.52-14.95); MLH1 (0.13% of cases and 0.02% of controls; OR, 6.66; 95% CI, 1.94-17.53); BRCA2 (1.9% of cases and 0.3% of controls; OR, 6.20; 95% CI, 4.62-8.17); ATM (2.3% of cases and 0.37% of controls; OR, 5.71; 95% CI, 4.38-7.33); and BRCA1 (0.6% of cases and 0.2% of controls; OR, 2.58; 95% CI, 1.54-4.05). CONCLUSIONS AND RELEVANCE In this case-control study, mutations in 6 genes associated with pancreatic cancer were found in 5.5% of all pancreatic cancer patients, including 7.9% of patients with a family history of pancreatic cancer and 5.2% of patients without a family history of pancreatic cancer. Further research is needed for replication in other populations.
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Affiliation(s)
- Chunling Hu
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Steven N Hart
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Eric C Polley
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Rohan Gnanaolivu
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Hermela Shimelis
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Kun Y Lee
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Jenna Lilyquist
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Jie Na
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Raymond Moore
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Samuel O Antwi
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida
| | - William R Bamlet
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Kari G Chaffee
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - John DiCarlo
- Qiagen Sciences Research and Development, Qiagen Inc, Hilden, Germany
| | - Zhong Wu
- Qiagen Sciences Research and Development, Qiagen Inc, Hilden, Germany
| | - Raed Samara
- Qiagen Sciences Research and Development, Qiagen Inc, Hilden, Germany
| | | | | | - Gloria M Petersen
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
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Zheng J, Merchant AT, Wirth MD, Zhang J, Antwi SO, Shoaibi A, Shivappa N, Stolzenberg-Solomon RZ, Hebert JR, Steck SE. Inflammatory potential of diet and risk of pancreatic cancer in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial. Int J Cancer 2018; 142:2461-2470. [PMID: 29355939 DOI: 10.1002/ijc.31271] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Revised: 12/30/2017] [Accepted: 01/09/2018] [Indexed: 01/28/2023]
Abstract
Inflammation plays a central role in pancreatic cancer etiology and can be modulated by diet. We aimed to examine the association between the inflammatory potential of diet, assessed with the Dietary Inflammatory Index (DII®), and pancreatic cancer risk in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial prospective cohort. Our study included 101,449 participants aged 52-78 years at baseline who completed both baseline questionnaire and a diet history questionnaire. Energy-adjusted DII (E-DII) scores were computed based on food and supplement intake. Cox proportional hazards models and time dependent Cox models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) with participants in the lowest E-DII quintile (most anti-inflammatory scores) as referent. After a median 8.5 years of follow-up, 328 pancreatic cancer cases were identified. E-DII scores were not associated with pancreatic cancer risk in the multivariable model (HRQ5vsQ1 = 0.94; 95% CI = 0.66-1.35; p-trend = 0.43). Time significantly modified the association (p-interaction = 0.01). During follow up <4 years, there was suggestive evidence of an inverse association between E-DII and pancreatic cancer (HRQ5vsQ1 = 0.60; 95% CI = 0.35-1.02; p-trend = 0.20) while there was a significant positive trend in the follow up ≥4 years (HRQ5vsQ1 = 1.31; 95% CI = 0.83-2.08; p-trend = 0.03). Similar results were observed for E-DII from food only. Our study does not support an association between inflammatory potential of diet and pancreatic cancer risk; however, heterogeneous results were obtained with different follow-up times. These divergent associations may result from the influences of undetected disease in the short-term.
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Affiliation(s)
- Jiali Zheng
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC.,Cancer Prevention and Control Program, University of South Carolina, Columbia, SC.,Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Anwar T Merchant
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | - Michael D Wirth
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC.,Cancer Prevention and Control Program, University of South Carolina, Columbia, SC.,Connecting Health Innovations, LLC, Columbia, SC
| | - Jiajia Zhang
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | - Samuel O Antwi
- Department of Health Sciences Research, Division of Epidemiology, Mayo Clinic, Jacksonville, FL
| | - Azza Shoaibi
- Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC
| | - Nitin Shivappa
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC.,Cancer Prevention and Control Program, University of South Carolina, Columbia, SC.,Connecting Health Innovations, LLC, Columbia, SC
| | - Rachael Z Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, National Cancer Institute (NCI/DCEG), Rockville, MD
| | - James R Hebert
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC.,Cancer Prevention and Control Program, University of South Carolina, Columbia, SC.,Connecting Health Innovations, LLC, Columbia, SC
| | - Susan E Steck
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC.,Cancer Prevention and Control Program, University of South Carolina, Columbia, SC
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Mody K, Antwi SO, Hodge DO, Meghji Z, Ailawadhi S, Bekaii-Saab TS, Roberts LR. A SEER-based multiethnic picture of cholangiocarcinoma in the United States pre and post the advent of gemcitabine/cisplatin. J Clin Oncol 2018. [DOI: 10.1200/jco.2018.36.4_suppl.448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
448 Background: Cholangiocarcinoma (CCA) is a rare, lethal cancer with five-year survival of less than 10%. Although incidence rates have been increasing in the United States, ethnic variations in survival have not been investigated. We examined multi-ethnic variation in overall survival (OS) and CCA-specific survival (CSS) using data from the population-based Surveillance Epidemiology and End Results (SEER) program in the four year periods before and after introduction of gemcitabine/cisplatin as treatment for CCA. Methods: The study included data from 9,975 CCA cases reported in SEER between 2006 and 2013. Multivariable-adjusted hazard ratios (HR) and 95% confidence intervals (CIs) were calculated to examine overall and cholangiocarcinoma-specific survival by ethnicity, age, gender and in the pre- and post- gemcitabine/cisplatin era (2006-2009 vs. 2010-2013). Results: Compared to non-Hispanic Whites, Hispanics had poorer 3-year OS (HR = 1.18, 95% CI = 1.10-1.26) and 3-year CCA-specific survival (HR = 1.25, 95% CI = 1.16-1.35). Similarly, non-Hispanic Blacks had 3-year OS (HR = 1.22, 95% CI = 1.12-1.30) and 3-year CCA-specific survival (HR = 1.24, 95% CI = 1.13-1.37). Males and older patients also were found to have shorter survival compared to females and younger patients. Also noted was an increase in CCA incidence rate over time (2006-2013) of 5.93%. Among those < 50 versus ≥50 years old, a 23% higher rate of incidence in those < 50 was noted. Overall survival and CSS were both significantly improved for patients post-advent of Gemcitabine/Cisplatin. Statistically significant improvement in CSS pre- and post-advent of Gemcitabine/Cisplatin was noted in non-hispanic whites (p < 0.001) and Hispanics (p = 0.02). Conclusions: Hispanics and non-Hispanic Blacks have worse survival after diagnosis with CCA. Further studies are needed to determine the determinants of poor survival among these groups toward targeted intervention. Significant improvements in OS and CSS have been seen after the advent of Gemcitabine/Cisplatin. The incidence of CCA is rising faster in young persons, under the age of 50, compared with older patients.
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Antwi SO, Eckel-Passow JE, Diehl ND, Serie DJ, Custer KM, Wu KJ, Cheville JC, Thiel DD, Leibovich BC, Parker AS. Alcohol consumption, variability in alcohol dehydrogenase genes and risk of renal cell carcinoma. Int J Cancer 2017; 142:747-756. [PMID: 29023769 DOI: 10.1002/ijc.31103] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Revised: 09/22/2017] [Accepted: 10/04/2017] [Indexed: 01/20/2023]
Abstract
Alcohol consumption has been associated inversely with renal cell carcinoma (RCC) risk; however, no study has examined effect modification by germline variation in alcohol-metabolizing genes. We investigated whether the association between alcohol intake and RCC risk is modulated by germline variants in alcohol dehydrogenase genes in a large case-control study. Data from 652 RCC cases and 1,366 non-cancer controls were analyzed. Alcohol intake was assessed using a standardized risk factor questionnaire. Three previously genotyped polymorphisms in ADH6 and ADH7 with the TaqMan assay were examined. Odds ratios (ORs) and 95% confidence interval (CI) were calculated using logistic regression, adjusting for covariates. Compared to non-drinkers, ever consumption of alcohol was associated with lower RCC risk (OR = 0.52, 95% CI = 0.42-0.65). Analysis with cubic spline regression curve showed a "J-shaped" relationship between alcohol drinks/day and RCC risk, such that there was no added benefit against RCC for consumption of more than two drinks/day. We observed effect modification by variation in rs1154454 (ADH7) (pinteraction = 0.007); a per unit increase in alcohol drink/day was associated with 35% lower RCC risk among non-minor allele carriers, a 27% lower risk among those who carry one copy of the minor allele, but no association was observed among those with two copies of the minor allele. These findings indicate that alcohol consumption is associated with lower RCC risk. Consuming more than two drinks a day does not confer additional protection against RCC. The association between alcohol intake and RCC risk appears to be modulated by inter-individual germline variation in alcohol-metabolizing genes.
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Affiliation(s)
- Samuel O Antwi
- Department of Health Sciences Research, 4500 San Pablo Road, Jacksonville, FL
| | | | - Nancy D Diehl
- Department of Health Sciences Research, 4500 San Pablo Road, Jacksonville, FL
| | - Daniel J Serie
- Department of Health Sciences Research, 4500 San Pablo Road, Jacksonville, FL
| | - Kaitlynn M Custer
- Department of Health Sciences Research, 4500 San Pablo Road, Jacksonville, FL
| | - Kevin J Wu
- Department of Laboratory Medicine and Pathology, 4500 San Pablo Road, Jacksonville, FL
| | - John C Cheville
- Department of Laboratory Medicine and Pathology, 4500 San Pablo Road, Jacksonville, FL
| | - David D Thiel
- Department of Urology at Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL
| | | | - Alexander S Parker
- Department of Health Sciences Research, 4500 San Pablo Road, Jacksonville, FL
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Habboush YY, Antwi SO, Chase L, Patel TC. Abstract LB-237: Response to loco-regional therapy as predictors of outcomes after transplantation for mixed hepatocellular cholangiocarcinoma. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-lb-237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Mixed hepatocellular cholangiocarcinoma (HCC-CCA) is a rare primary malignancy of the liver which is distinct from hepatocellular carcinoma (HCC) or cholangiocarcinoma. HCC-CCA is presumed to have a poor prognosis and is not recommended for transplantation. The clinical and radiological presentation of HCC-CCA overlaps with HCC; thus, patients with these cancers may be mis-diagnosed as HCC and undergo liver transplantation, with the precise diagnosis ultimately determined on explant pathology. Patients undergoing transplant for presumed HCC receive loco-regional therapy (LRT), such as transarterial chemoembolization and radiofrequency ablation pre-transplant. Our goals were to (1) evaluate pre-transplant response to LRT, as predictors of recurrence and survival after transplant in HCC-CCA, and to (2) compare outcomes of transplant with adjuvant LRT in HCC-CCA and HCC.
Methods: A retrospective study of 57 patients with presumed HCC who underwent liver transplantation and had pre-transplant LRT was performed. The study included 19 HCC-CCA cases and 38 HCC cases diagnosed on explant pathology, and individually matched (1:2) on age, sex, and Milan criteria. Response to LRT was determined by MRI performed before and after LRT. The response evaluation criterion in solid tumors (RECIST) was used to categorize treatment responses as “responders” if a patient had a complete or partial response or “non-responders” if a patient had stable or progressive disease. Recurrence rates, recurrence-free survival (RFS), and overall survival (OS) following LRT and transplant were compared between groups using Fisher’s exact tests.
Results: The overall 1- and 3-year survival rates were 84% and 74% for HCC-CCA, and 95% and 87% for HCC, respectively. RFS at 1 and 3 years was 79% and 74% for HCC-CCA, and 92% and 87% for HCC (p-values >0.05). For HCC-CCA, one-year OS and RFS in LRT responders were 92% and 83%, whereas for LRT non-responders, OS and RFS were 71% each. In contrast, for HCC, one-year OS and RFS in LRT responders were both 97%, whereas among non-responders, they were 83% and 67%, respectively. At three years, OS and RFS in responders were 92% and 75% for HCC-CCA and 88% and 90% for HCC, respectively; whereas among non-responders, OS and RFS rates were 43% and 57% for HCC-CCA and 83% and 50% for HCC, respectively (all p-value >0.05).
Conclusions: Short-term, post-transplant survival was poorer for HCC-CCA than HCC. However, OS among LRT responders for both cancers was similar. Response to LRT predicts favorable RFS in both HCC-CCA and HCC. Among non-responders, recurrence rate and RFS at three years were dismal and similar for both HCC-CCA and HCC, although OS is much lower for HCC-CCA patients. Response to pre-transplant LRT can be used for identifying HCC-CCA patients at high risk of recurrence and poor survival after liver transplantation.
Citation Format: Yacob Y. Habboush, Samuel O. Antwi, Lori Chase, Tushar C. Patel. Response to loco-regional therapy as predictors of outcomes after transplantation for mixed hepatocellular cholangiocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr LB-237. doi:10.1158/1538-7445.AM2017-LB-237
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Antwi SO, Fagan SE, Chaffee KG, Bamlet WR, Robert MR, Oberg AL, Petersen GM. Abstract 4269: Risk of different cancers among first-degree relatives of pancreatic cancer patients and impact of probands’ germline mutation on sibling cancer risk. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-4269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: There have been varying reports on risk of different cancers, other than pancreatic cancer (PC), among first-degree relatives (FDRs) of PC patients. Because the pattern and scope of aggregation of PC with other malignancies in families of PC patients are not entirely clear, we investigated risk of 15 common malignancies among FDRs of unselected PC probands.
Methods: The study included 17,181 FDRs with more than 336,000 person-years at risk. The FDRs were identified through sequentially enrolled PC probands (n=2,305) in the Mayo Clinic prospective pancreatic cancer patient registry from 2000-2016. Data on family history of cancer were provided by the probands at the time of enrollment in structured risk factor questionnaires. Standardized incidence ratios (SIRs) and 95% confidence intervals (CIs) were calculated by comparing cases of each cancer type observed among the FDRs with those expected using data from the Surveillance Epidemiology and End Results Program (SEER). Stratified analyses were performed among siblings of the probands based on whether the related proband tested positive for a mutation in ATM, BARD1, BRCA1, BRCA2, CDKN2A, CHEK2, MUTYH, NBN, PALB2, or PMS2; or tested negative for mutation in a total of 25 sequenced cancer susceptibility genes.
Results: Compared to the SEER reference population, risk of PC was two-fold higher than expected among the FDRs (SIR=2.04, 95% CI: 1.78-2.31) and 12-fold higher than expected among FDRs with history of PC in at least two blood relatives (SIR=11.99, 95% CI: 10.48-13.64). Siblings of mutation-positive probands had higher risk of PC (SIR=13.57, 95% CI: 6.19-25.76) than siblings of mutation-negative probands (SIR=8.91, 95% CI=6.73-11.57). For other cancer types, primary liver cancer was elevated among female FDRs (SIR=2.10, 95% CI: 1.34-3.12), whereas breast (SIR=3.16, 95% CI: 1.63-5.52) and ovarian (SIR =6.61, 95% CI: 1.33-19.31) cancers were elevated only among siblings of the mutation-positive probands. There also were suggestions of lower than expected risk of other malignancies, such as bladder, colorectal and prostate cancers, among the FDRs as compared with the SEER population.
Conclusions: These findings confirm familial aggregation of PC with breast and ovarian cancers, and further suggest a potential aggregation of PC and primary liver cancer among female FDRs of PC probands. The elevated risks of breast cancer and ovarian cancer among siblings of the mutation-positive probands suggests a strong influence of genetic susceptibility shared with the related proband, possibly due to an inherited mutation in BRCA1, BRCA2, or PALB2. These findings lend support to genetic counseling and targeted screening of certain cancers in high-risk families.
Citation Format: Samuel O. Antwi, Sarah E. Fagan, Kari G. Chaffee, William R. Bamlet, McWilliams R. Robert, Ann L. Oberg, Gloria M. Petersen. Risk of different cancers among first-degree relatives of pancreatic cancer patients and impact of probands’ germline mutation on sibling cancer risk [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4269. doi:10.1158/1538-7445.AM2017-4269
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Affiliation(s)
| | | | - Kari G. Chaffee
- 3Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN
| | | | | | - Ann L. Oberg
- 3Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN
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Antwi SO, Eckel-Passow JE, Diehl ND, Serie DJ, Custer KM, Arnold ML, Wu KJ, Cheville JC, Thiel DD, Leibovich BC, Parker AS. Coffee consumption and risk of renal cell carcinoma. Cancer Causes Control 2017. [PMID: 28647866 DOI: 10.1007/s10552-017-0913-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND Studies have suggested an inverse association between coffee consumption and risk of renal cell carcinoma (RCC); however, data regarding decaffeinated coffee are limited. METHODS We conducted a case-control study of 669 incident RCC cases and 1,001 frequency-matched controls. Participants completed identical risk factor questionnaires that solicited information about usual coffee consumption habits. The study participants were categorized as non-coffee, caffeinated coffee, decaffeinated coffee, or both caffeinated and decaffeinated coffee drinkers. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using logistic regression, adjusting for multiple risk factors for RCC. RESULTS Compared with no coffee consumption, we found an inverse association between caffeinated coffee consumption and RCC risk (OR 0.74; 95% CI 0.57-0.99), whereas we observed a trend toward increased risk of RCC for consumption of decaffeinated coffee (OR 1.47; 95% CI 0.98-2.19). Decaffeinated coffee consumption was associated also with increased risk of the clear cell RCC (ccRCC) subtype, particularly the aggressive form of ccRCC (OR 1.80; 95% CI 1.01-3.22). CONCLUSIONS Consumption of caffeinated coffee is associated with reduced risk of RCC, while decaffeinated coffee consumption is associated with an increase in risk of aggressive ccRCC. Further inquiry is warranted in large prospective studies and should include assessment of dose-response associations.
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Affiliation(s)
- Samuel O Antwi
- Department of Health Sciences Research, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Jeanette E Eckel-Passow
- Department of Health Sciences Research, Mayo Clinic, 200 1st St. SW, Rochester, MN, 55905, USA
| | - Nancy D Diehl
- Department of Health Sciences Research, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Daniel J Serie
- Department of Health Sciences Research, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Kaitlynn M Custer
- Department of Health Sciences Research, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Michelle L Arnold
- Department of Health Sciences Research, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Kevin J Wu
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - John C Cheville
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - David D Thiel
- Department of Urology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Bradley C Leibovich
- Department of Urology, Mayo Clinic, 200 1st St. SW, Rochester, MN, 55905, USA
| | - Alexander S Parker
- Department of Health Sciences Research, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA.
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Antwi SO, Boardman LA, Petersen GM. Telomere Length and Pancreatic Cancer Risk-Reply. Cancer Epidemiol Biomarkers Prev 2017. [PMID: 28634187 DOI: 10.1158/1055-9965.epi-17-0307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Samuel O Antwi
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida
| | - Lisa A Boardman
- Division of Gastroenterology, Department of Medicine, Mayo Clinic, Rochester, Minnesota
| | - Gloria M Petersen
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.
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Antwi SO, Bamlet WR, Broderick BT, Chaffee KG, Oberg A, Jatoi A, Boardman LA, Petersen GM. Genetically Predicted Telomere Length is not Associated with Pancreatic Cancer Risk. Cancer Epidemiol Biomarkers Prev 2017; 26:971-974. [PMID: 28264873 PMCID: PMC5483972 DOI: 10.1158/1055-9965.epi-17-0100] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 02/21/2017] [Accepted: 02/27/2017] [Indexed: 01/20/2023] Open
Abstract
Background: Epidemiologic associations of leukocyte telomere length (LTL) and pancreatic ductal adenocarcinoma (PDAC) have been inconsistent owing, in part, to variation in telomere length (TL) assessment across studies. To overcome this limitation and address concerns of potential reverse causation, we used carriage of telomere-related alleles to genetically predict TL and examined its association with PDAC.Methods: A case-control study of 1,500 PDAC cases and 1,500 controls, frequency-matched on age and sex was performed. Eight of nine polymorphisms previously associated with variation in LTL were analyzed. Genetic risk scores (GRS) consisting of the TL-related polymorphisms were computed as the number of long TL alleles carried by an individual scaled to published kilobase pairs of TL associated with each allele. Participants were further categorized on the basis of the number of short TL alleles they carry across all eight SNPs. Associations were examined in additive and dominant models using logistic regression to calculate ORs and 95% confidence intervals (CI).Results: In age- and sex-adjusted models, one short TL allele (rs10936599, T) was associated with reduced risk, whereas another short TL allele (rs2736100, A) was associated with increased risk, with per-allele ORs of 0.89 (95% CI, 0.79-0.99) and 1.13 (95% CI, 1.01-1.24), respectively. No association was observed with GRS or short TL allele counts, and no associations were observed in the dominant models.Conclusions: Findings suggest that genetically predicted short TL is not associated with PDAC risk.Impact: Common genetic determinants of short TL do not appear to influence PDAC risk. Cancer Epidemiol Biomarkers Prev; 26(6); 971-4. ©2017 AACR.
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Affiliation(s)
- Samuel O Antwi
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - William R Bamlet
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Brendan T Broderick
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Kari G Chaffee
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Ann Oberg
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Aminah Jatoi
- Department of Medical Oncology, Mayo Clinic, Rochester, Minnesota
| | - Lisa A Boardman
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Gloria M Petersen
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.
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Antwi SO, Steck SE, Su LJ, Hebert JR, Zhang H, Craft NE, Fontham ETH, Smith GJ, Bensen JT, Mohler JL, Arab L. Carotenoid intake and adipose tissue carotenoid levels in relation to prostate cancer aggressiveness among African-American and European-American men in the North Carolina-Louisiana prostate cancer project (PCaP). Prostate 2016; 76:1053-66. [PMID: 27271547 PMCID: PMC5080909 DOI: 10.1002/pros.23189] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Accepted: 03/29/2016] [Indexed: 12/31/2022]
Abstract
BACKGROUND Associations between carotenoid intake and prostate cancer (CaP) incidence have varied across studies. This may result from combining indolent with aggressive disease in most studies. This study examined whether carotenoid intake and adipose tissue carotenoid levels were inversely associated with CaP aggressiveness. METHODS Data on African-American (AA, n = 1,023) and European-American (EA, n = 1,079) men with incident CaP from North Carolina and Louisiana were analyzed. Dietary carotenoid intake was assessed using a detailed-food frequency questionnaire (FFQ), and abdominal adipose tissue samples were analyzed for carotenoid concentrations using high-performance liquid chromatography. Multivariable logistic regression was used in race-stratified analyses to calculate odds ratios (ORs) and 95% confidence intervals (95%CI) comparing high aggressive CaP with low/intermediate aggressive CaP. RESULTS Carotenoid intake differed significantly between AAs and EAs, which included higher intake of lycopene among EAs and higher β-cryptoxanthin intake among AAs. Comparing the highest and lowest tertiles, dietary lycopene was associated inversely with high aggressive CaP among EAs (OR = 0.55, 95%CI: 0.34-0.89, Ptrend = 0.02), while an inverse association was observed between dietary β-cryptoxanthin intake and high aggressive CaP among AAs (OR = 0.56, 95%CI: 0.36-0.87, Ptrend = 0.01). Adipose tissue α-carotene and lycopene (cis + trans) concentrations were higher among EAs than AAs, and marginally significant inverse linear trends were observed for adipose α-carotene (Ptrend = 0.07) and lycopene (Ptrend = 0.11), and CaP aggressiveness among EAs only. CONCLUSIONS These results suggest that diets high in lycopene and β-cryptoxanthin may protect against aggressive CaP among EAs and AAs, respectively. Differences in dietary behaviors may explain the observed racial differences in associations. Prostate 76:1053-1066, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Samuel O. Antwi
- Division of Epidemiology, Mayo Clinic College of Medicine, Rochester, MN
| | - Susan E. Steck
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC
- Cancer Prevention and Control Program, University of South Carolina, Columbia, SC
- Corresponding author: Dr. Susan E. Steck, Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Room 236, Columbia, SC 29208, USA; phone: (803) 576-5638; fax: (803) 576-5624;
| | - L. Joseph Su
- Food and Drug Administration, Center for Devices and Radiological Health, Division of Epidemiology, University of Memphis, Memphis, TN
| | - James R. Hebert
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC
- Cancer Prevention and Control Program, University of South Carolina, Columbia, SC
| | - Hongmei Zhang
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN
| | | | | | - Gary J. Smith
- Department of Urology, Roswell Park Cancer Institute, Buffalo, NY
| | - Jeannette T. Bensen
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - James L. Mohler
- School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA
| | - Lenore Arab
- David Geffen School of Medicine at UCLA, Los Angeles, CA
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Antwi SO, Oberg AL, Shivappa N, Bamlet WR, Chaffee KG, Steck SE, Hébert JR, Petersen GM. Pancreatic cancer: associations of inflammatory potential of diet, cigarette smoking and long-standing diabetes. Carcinogenesis 2016; 37:481-90. [PMID: 26905587 PMCID: PMC4843052 DOI: 10.1093/carcin/bgw022] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2015] [Revised: 02/04/2016] [Accepted: 02/11/2016] [Indexed: 01/02/2023] Open
Abstract
Epidemiologic studies show strong associations between pancreatic cancer (PC) and inflammatory stimuli or conditions such as cigarette smoking and diabetes, suggesting that inflammation may play a key role in PC. Studies of dietary patterns and cancer outcomes also suggest that diet might influence an individual's risk of PC by modulating inflammation. We therefore examined independent and joint associations between inflammatory potential of diet, cigarette smoking and long-standing (≥5 years) type II diabetes in relation to risk of PC. Analyses included data from 817 cases and 1756 controls. Inflammatory potential of diet was measured using the dietary inflammatory index (DII), calculated from dietary intake assessed via a 144-item food frequency questionnaire, and adjusted for energy intake. Information on smoking and diabetes were obtained via risk factor questionnaires. Associations were examined using multivariable-adjusted logistic regression. Higher DII scores, reflecting a more proinflammatory diet, were associated with increased risk of PC [odds ratio (OR)Quintile 5 versus 1 = 2.54, 95% confidence interval (CI) = 1.87-3.46, P trend < 0.0001]. Excess risk of PC also was observed among former (OR = 1.29, 95% CI = 1.07-1.54) and current (OR = 3.40, 95% CI = 2.28-5.07) smokers compared with never smokers, and among participants with long-standing diabetes (OR = 3.09, 95% CI = 2.02-4.72) compared with nondiabetics. Joint associations were observed for the combined effects of having greater than median DII score, and being a current smoker (OR = 4.79, 95% CI = 3.00-7.65) or having long-standing diabetes (OR = 6.03, 95% CI = 3.41-10.85). These findings suggest that a proinflammatory diet may act as cofactor with cigarette smoking and diabetes to increase risk of PC beyond the risk of any of these factors alone.
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Affiliation(s)
- Samuel O. Antwi
- Division of Epidemiology and
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Charlton 6-243, Rochester, MN 55905, USA and
- Cancer Prevention and Control Program and
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Ann L. Oberg
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Charlton 6-243, Rochester, MN 55905, USA and
| | - Nitin Shivappa
- Cancer Prevention and Control Program and
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - William R. Bamlet
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Charlton 6-243, Rochester, MN 55905, USA and
| | - Kari G. Chaffee
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Charlton 6-243, Rochester, MN 55905, USA and
| | - Susan E. Steck
- Cancer Prevention and Control Program and
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - James R. Hébert
- Cancer Prevention and Control Program and
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Gloria M. Petersen
- *To whom correspondence should be addressed. Tel: +1 5075 381563; Fax: +1 5072 662478;
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Antwi SO, Oberg AL, Shivappa N, Bamlet WR, Chaffee KG, Steck SE, Hebert JR, Petersen GM. Pancreatic Cancer: Associations of Inflammatory Potential of Diet, Cigarette Smoking, and Long-Standing Diabetes. Cancer Epidemiol Biomarkers Prev 2016. [DOI: 10.1158/1055-9965.epi-16-0084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
Background: Pancreatic cancer (PanC) is a rapidly lethal malignancy with poorly understood etiology. Epidemiologic studies show strong associations between PanC and inflammatory conditions or stimuli such as cigarette smoking and diabetes, suggesting that inflammation may play a key role in PanC. Studies of dietary patterns and cancer outcomes also suggest that diet might influence an individual's risk of PanC through modulation of inflammation. We, therefore, examined independent and joint associations between inflammatory potential of diet, cigarette smoking and long-standing type II diabetes (greater than 5 years) in relation to risk of PanC. Methods: Data were from a clinic-based, case-control study of rapidly ascertained patients with incident adenocarcinoma of the exocrine pancreas (n = 819) evaluated at Mayo Clinic and non-cancer control patients (n = 1,769) recruited from Mayo Clinic primary care facilities. Controls were frequency-matched to cases on age, race, and sex. Inflammatory potential of diet was measured using the dietary inflammatory index (DII), calculated from dietary intake assessed via a 144-item food frequency questionnaire and adjusted for energy intake. Logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for age, sex, race, body mass index, diabetes, smoking, and education. Results: Higher DII scores, reflecting a more pro-inflammatory diet, were associated with increased odds of PanC (OR Quintile5vs1 = 2.80, 95% CI, 2.06–3.79, Ptrend < 0.0001). Increased odds of PanC also were observed among current (OR = 2.55, 95% CI, 1.75–3.72) and former (OR = 1.26, 95% CI, 1.05–1.51) smokers as compared to non- smokers, and among participants with long-standing type II diabetes (OR = 2.96, 95% CI, 1.95–4.51) compared to non-diabetics. Joint associations were observed for the combined effect of having greater than the control median DII score and a) being a current smoker (OR = 4.20, 95% CI, 2.67–6.61),or b) having long-standing type II diabetes (OR = 6.13, 95% CI, 3.47–10.80) as compared to having less than or equal to the control median DII score and being a non-smoker or non-diabetic, respectively. Conclusion: These findings suggest that a pro-inflammatory diet may act synergistically with cigarette smoking and diabetes to increase the risk of PanC beyond the risk of any of these factors alone.
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Antwi SO, Steck SE, Zhang H, Stumm L, Zhang J, Hurley TG, Hebert JR. Plasma carotenoids and tocopherols in relation to prostate-specific antigen (PSA) levels among men with biochemical recurrence of prostate cancer. Cancer Epidemiol 2015; 39:752-62. [PMID: 26165176 DOI: 10.1016/j.canep.2015.06.008] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2015] [Revised: 06/26/2015] [Accepted: 06/28/2015] [Indexed: 12/11/2022]
Abstract
BACKGROUND Although men presenting with clinically localized prostate cancer (PrCA) often are treated with radical prostatectomy or radiation therapy with curative intent, about 25-40% develop biochemically recurrent PrCA within 5 years of treatment, which has no known cure. Studies suggest that carotenoid and tocopherol intake may be associated with PrCA risk and progression. We examined plasma carotenoid and tocopherol levels in relation to prostate-specific antigen (PSA) levels among men with PSA-defined biochemical recurrence of PrCA. METHODS Data analyzed were from a 6-month diet, physical activity and stress-reduction intervention trial conducted in South Carolina among biochemically recurrent PrCA patients (n=39). Plasma carotenoids and tocopherol levels were measured using high-performance liquid chromatography (HPLC). Linear regression was used to estimate least-square means comparing PSA levels of men with high versus low carotenoid/tocopherol levels, adjusting for covariates. RESULTS After adjusting for baseline PSA level, plasma cis-lutein/zeaxanthin level at 3 months was related inversely to PSA level at 3 months (P=0.0008), while α-tocopherol (P=0.01), β-cryptoxanthin (P=0.01), and all-trans-lycopene (P=0.004) levels at 3 months were related inversely to PSA levels at 6-months. Percent increase in α-tocopherol and trans-β-carotene levels from baseline to month 3 were associated with lower PSA levels at 3 and 6 months. Percent increase in β-cryptoxanthin, cis-lutein/zeaxanthin and all-trans-lycopene were associated with lower PSA levels at 6 months only. CONCLUSIONS Certain plasma carotenoids and tocopherols were related inversely to PSA levels at various timepoints, suggesting that greater intake of foods containing these micronutrients might be beneficial to men with PSA-defined PrCA recurrence.
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Affiliation(s)
- Samuel O Antwi
- Division of Epidemiology, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, United States
| | - Susan E Steck
- Epidemiology and Biostatistics Arnold School of Public Health, 915 Greene St, Columbia, SC 29208, United States; Cancer Prevention and Control Program, Arnold School of Public Health, 915 Greene St, Columbia, SC 29208, United States.
| | - Hongmei Zhang
- Epidemiology, Biostatistics, and Environmental Health, University of Memphis, 3825 Desoto Avenue, 224 Robison Hall, Memphis, TN 38152, United States
| | - Lareissa Stumm
- Epidemiology, James Madison University, 800 Madison Drive, Harrisonburg, VA 22807, United States
| | - Jiajia Zhang
- Epidemiology and Biostatistics Arnold School of Public Health, 915 Greene St, Columbia, SC 29208, United States
| | - Thomas G Hurley
- Epidemiology and Biostatistics Arnold School of Public Health, 915 Greene St, Columbia, SC 29208, United States; Cancer Prevention and Control Program, Arnold School of Public Health, 915 Greene St, Columbia, SC 29208, United States
| | - James R Hebert
- Epidemiology and Biostatistics Arnold School of Public Health, 915 Greene St, Columbia, SC 29208, United States; Cancer Prevention and Control Program, Arnold School of Public Health, 915 Greene St, Columbia, SC 29208, United States
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