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C2CD4A/B variants in the predisposition of lung cancer in the Chinese Han population

Authors: Mingwei Chen;

C2CD4A/B variants in the predisposition of lung cancer in the Chinese Han population

Abstract

Background: The mRNA levels of C2CD4A and C2CD4B were dysregulation in lung cancer (LC). We aim to evaluate the role of C2CD4A/B variants in LC susceptibility. Methods: 710 cases with LC and 710 healthy controls were enrolled in the study. The genotyping of twelve SNPs in C2CD4A/B were carried out by Agena MassARRAY system. Odds ratios (ORs) and 95% confidence intervals (CIs) for multiple inheritance models were calculated by logistic regression analysis to assess the relationship between selected variants and the predisposition of LC. Results: Rs8037894 (OR = 0.81, p = 0.005), rs7172432 (OR = 0.83, p = 0.013), rs11856307 (OR = 0.86, p = 0.043), and rs1436953 (OR = 0.79, p = 0.002) were related to with the reduced risk of LC. Stratified analysis showed that this association was especially remarkable in the subgroup at aged > 60 years, males, subjects with BMI >24 kg/m2, smokers and non-drinkers. We also found that C2CD4A/B variants were associated with lymph nodes metastasis and pathological type (adenocarcinoma and small cell carcinoma). Conclusions: Our results firstly displayed that C2CD4A/B polymorphisms served as protective factors for LC predisposition in a Chinese Han population. These findings could provide new biological insight into the understanding of C2CD4A/B genes on LC pathogenesis.

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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.
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