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Genetic polymorphisms and susceptibility to esophageal cancer among Chinese population (Review)

Authors: Deyin, Xing; Wen, Tan; Dongxin, Lin;

Genetic polymorphisms and susceptibility to esophageal cancer among Chinese population (Review)

Abstract

Esophageal cancer, which is prevalent in China and some other parts of the world, is a complex disease likely resulting from polymorphisms of multiple interacting genes and gene-environment interactions. Recent efforts have been made to analyze the associations between risk of this cancer and hereditary sequence variations in genes involved in metabolism, DNA repair and cell cycle control. We summarized here the results of published case-control studies that have examined the effects of common alleles of 15 genes, MTHFR, CYP1A1, CYP2A6, CYP2E1, GSTM1, GSTT1, GSTP1, NAT2, XRCC1, XPD, hOGG1, MGMT, p53, CNDD1 and L-Myc, on risk of esophageal squamous cell carcinoma among Chinese. Statistically significant differences in genotype frequencies found in case-control comparisons were MTHFR C677T and A1298C polymorphisms, the XRCC1 Arg194Trp polymorphisms, the hOGG1 Ser326Cys polymorphism, and the p53 Arg72Pro polymorphism. The overall effects of these genetic polymorphisms were moderate in terms of relative risk, with ORs ranging from 2-10. There was also some evidence that genetic polymorphisms in certain carcinogen-metabolizing enzymes such as CYP2E1, CYP1A1, CYP2A6, GSTM1, and GSTP1 modulate risk of the cancer, although the results require confirmation with larger sample size studies. For polymorphisms in GSTT1, XPD, CCND1, and L-Myc, the risk estimate from the studies was sufficiently precise to exclude an OR >/=1.5.

Related Organizations
Keywords

Male, Risk, China, Polymorphism, Genetic, DNA Repair, Esophageal Neoplasms, Cell Cycle, Carcinogens, Carcinoma, Squamous Cell, Humans, Female

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
102
Top 10%
Top 10%
Top 10%
Related to Research communities
Cancer Research