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ABSTRACT: Background
The aim of this study was to investigate the interaction effects of pri-let-7a-1 rs10739971 with pepsinogen C (PGC) and excision repair cross complementing group 6 (ERCC6) gene polymorphisms and its association with the risks of gastric cancer and atrophic gastritis. We hoped to identify miRNA polymorphism or a combination of several polymorphisms that could serve as biomarkers for predicting the risk of gastric cancer and its precancerous diseases.Methods
Sequenom MassARRAY platform method was used to detect polymorphisms of pri-let-7a-1 rs10739971 G ? A, PGC rs4711690 C ? G, PGC rs6458238 G ? A, PGC rs9471643 G ? C, and ERCC6 rs1917799 in 471 gastric cancer patients, 645 atrophic gastritis patients and 717 controls.Results
An interaction effect of pri-let-7a-1 rs10739971 polymorphism with ERCC6 rs1917799 polymorphism was observed for the risk of gastric cancer (P interaction?=?0.026); and interaction effects of pri-let-7a-1 rs10739971 polymorphism with PGC rs6458238 polymorphism (P interaction?=?0.012) and PGC rs9471643 polymorphism (P interaction?=?0.039) were observed for the risk of atrophic gastritis.Conclusion
The combination of pri-let-7a-1 rs10739971 polymorphism and ERCC6 and PGC polymorphisms could provide a greater prediction potential than a single polymorphism on its own. Large-scale studies and molecular mechanism research are needed to confirm our findings.
SUBMITTER: Xu Q
PROVIDER: S-EPMC3934903 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
Xu Qian Q Liu Jing-wei JW He Cai-yun CY Sun Li-ping LP Gong Yue-hua YH Jing Jing-Jing JJ Xing Cheng-zhong CZ Yuan Yuan Y
PloS one 20140225 2
<h4>Background</h4>The aim of this study was to investigate the interaction effects of pri-let-7a-1 rs10739971 with pepsinogen C (PGC) and excision repair cross complementing group 6 (ERCC6) gene polymorphisms and its association with the risks of gastric cancer and atrophic gastritis. We hoped to identify miRNA polymorphism or a combination of several polymorphisms that could serve as biomarkers for predicting the risk of gastric cancer and its precancerous diseases.<h4>Methods</h4>Sequenom Mas ...[more]