Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-11T04:36:16.654Z Has data issue: false hasContentIssue false

CHEK2, MGMT, SULT1E1 and SULT1A1 Polymorphisms and Endometrial Cancer Risk

Published online by Cambridge University Press:  21 February 2012

Tracy A. O'Mara
Affiliation:
Hormone Dependent Cancer Program, Institute of Health and Biomedical Innovation, Queensland University of Technology, Australia; Genetics and Population Health Division, Queensland Institute of Medical Research, Brisbane, Australia.
Kaltin Ferguson
Affiliation:
Genetics and Population Health Division, Queensland Institute of Medical Research, Brisbane, Australia.
Paul Fahey
Affiliation:
Statistics Unit, Queensland Institute of Medical Research, Brisbane, Australia.
Louise Marquart
Affiliation:
Statistics Unit, Queensland Institute of Medical Research, Brisbane, Australia.
Hannah P. Yang
Affiliation:
Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, United States of America.
Jolanta Lissowska
Affiliation:
Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland.
Stephen Chanock
Affiliation:
Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, United States of America.
Montserrat Garcia-Closas
Affiliation:
Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, United States of America.
Deborah J. Thompson
Affiliation:
Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom.
Catherine S. Healey
Affiliation:
Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom.
Alison M. Dunning
Affiliation:
Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom.
Douglas F. Easton
Affiliation:
Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom.
Penelope M. Webb
Affiliation:
Genetics and Population Health Division, Queensland Institute of Medical Research, Brisbane, Australia.
Amanda B. Spurdle*
Affiliation:
Genetics and Population Health Division, Queensland Institute of Medical Research, Brisbane, Australia. Amanda.Spurdle@qimr.edu.au
*
*ADDRESS FOR CORRESPONDENCE: Dr Amanda B. Spurdle, Genetics and Population Health Division, Queensland Institute of Medical Research, 300 Herston Road, Herston, Brisbane, Queensland, Australia 4006.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Several single nucleotide polymorphisms (SNPs) in candidate genes of DNA repair and hormone pathways have been reported to be associated with endometrial cancer risk. We sought to confirm these associations in two endometrial cancer case-control sample sets and used additional data from an existing genome-wide association study to prioritize an additional SNP for further study. Five SNPs from the CHEK2, MGMT, SULT1E1 and SULT1A1 genes, genotyped in a total of 1597 cases and 1507 controls from two case-control studies, the Australian National Endometrial Cancer Study and the Polish Endometrial Cancer Study, were assessed for association with endometrial cancer risk using logistic regression analysis. Imputed data was drawn for CHEK2 rs8135424 for 666 cases from the Study of Epidemiology and Risk factors in Cancer Heredity study and 5190 controls from the Wellcome Trust Case Control Consortium. We observed no association between SNPs in the MGMT, SULT1E1 and SULT1A1 genes and endometrial cancer risk. The A allele of the rs8135424 CHEK2 SNP was associated with decreased risk of endometrial cancer (adjusted per-allele OR 0.83; 95%CI 0.70-0.98; p = .03) however this finding was opposite to that previously published. Imputed data for CHEK2 rs8135424 supported the direction of effect reported in this study (OR 0.85; 95% CI 0.65–1.10). Previously reported endometrial cancer risk associations with SNPs from in genes involved in estrogen metabolism and DNA repair were not replicated in our larger study population. This study highlights the need for replication of candidate gene SNP studies using large sample groups, to confirm risk associations and better prioritize downstream studies to assess the causal relationship between genetic variants and cancer risk. Our findings suggest that the CHEK2 SNP rs8135424 be prioritized for further study as a genetic factor associated with risk of endometrial cancer.

Type
Articles
Copyright
Copyright © Cambridge University Press 2011