PLoS ONE (Jan 2014)

The interaction effects of pri-let-7a-1 rs10739971 with PGC and ERCC6 gene polymorphisms in gastric cancer and atrophic gastritis.

  • Qian Xu,
  • Jing-wei Liu,
  • Cai-yun He,
  • Li-ping Sun,
  • Yue-hua Gong,
  • Jing-Jing Jing,
  • Cheng-zhong Xing,
  • Yuan Yuan

DOI
https://doi.org/10.1371/journal.pone.0089203
Journal volume & issue
Vol. 9, no. 2
p. e89203

Abstract

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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.