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Association of PD-L1 gene rs4143815 C > G polymorphism and human cancer susceptibility: A systematic review and meta-analysis

期刊

PATHOLOGY RESEARCH AND PRACTICE
卷 215, 期 2, 页码 229-234

出版社

ELSEVIER GMBH
DOI: 10.1016/j.prp.2018.12.002

关键词

PD-L1; Cancer; SNP; Meta-analysis

资金

  1. Key Lab for Clinical Anatomy & Reproductive Medicine of Hengyang City [2017KJ182]
  2. University of South China [2014XQD22]
  3. Chinese Scholarship Council [201608430251]
  4. College Students' research learning and innovative experiment program grant from University of South China [2018XJXZ159, 2018XJXZ161]

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Programmed death ligand 1(PD-L1) mediated immune escape play important roles in the development of cancer. The gene polymorphism of PD-L1, in particular rs4143815 C > G, has been associated with the cancer risks, but with conflicting results. Therefore, this meta-analysis was aimed to assess the association between rs4143815 C > G and cancer susceptibility. A systematic literature search was performed to select the studies and the pooled odds ratio (OR) with 95% confidence interval (CI) was used to evaluate the strength of association. Eleven eligible studies containing 3711 cases and 3704 controls were enrolled in the meta-analysis. The results suggested that there is a strong association between rs4143815 C > G and the cancer risks (G vs. C: OR = 1.386, 95% CI: 1.132-1.696, p = 0.002; GG vs. CG + CC: OR = 1.843 95% CI: 1.300-2.613, p = 0.002; GG + CG vs. CC: OR = L280, 95% CI: L040 L576, p = 0.020). Subgroup analysis based on cancer type suggested that PD-Ll rs4143815 C > G might increase the susceptibility to gastric cancer (G vs. C: OR = 1.842, 95% CI: 1.403-2.418, p < 0.001) and bladder cancer (G vs. C: OR = 2.015, 95% CI: 1.556-2.608, p < 0.001), and genotype GG carriers of PD-Ll rs4143815 C > G might have higher risks of HCC (GG vs. CG + CC: OR = 2.226 95% CI: 1.562-3.172, p < 0.001). PD-Ll rs4143815 C > G might confer an increased cancer risk, indicating this SNP may contribute to the pathogenesis of cancer and might be used as a potential biomarker to predict the susceptibility to cancer.

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