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Pooling-analysis on hMLH1 polymorphisms and cancer risk: evidence based on 31,484 cancer cases and 45,494 cancer-free controls

2017; Impact Journals LLC; Volume: 8; Issue: 54 Linguagem: Inglês

10.18632/oncotarget.21810

1949-2553

Sha Li, Yi Zheng, Tian Tian, Meng Wang, Xinghan Liu, Kang Liu, Yajing Zhai, Cong Dai, Yujiao Deng, Shanli Li, Zhijun Dai, Jun Lü,

Genomics and Rare Diseases

// Sha Li 1, 2, * , Yi Zheng 1, 3, * , Tian Tian 3, * , Meng Wang 3 , Xinghan Liu 3 , Kang Liu 3 , Yajing Zhai 1 , Cong Dai 3 , Yujiao Deng 3 , Shanli Li 3 , Zhijun Dai 3 and Jun Lu 1 1 Clinical Research Center, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China 2 Department of Pharmacy, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China 3 Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China * These authors have contributed equally to this work Correspondence to: Jun Lu, email: lujun2006@xjtu.edu.cn Zhijun Dai, email: dzj0911@126.com Keywords: hMLH1, polymorphism, cancer, meta-analysis Received: May 23, 2017 Accepted: September 08, 2017 Published: October 10, 2017 ABSTRACT To elucidate the veritable relationship between three hMLH1 polymorphisms (rs1800734, rs1799977, rs63750447) and cancer risk, we performed this meta-analysis based on overall published data up to May 2017, from PubMed, Web of knowledge, VIP, WanFang and CNKI database, and the references of the original studies or review articles. 57 publications including 31,484 cancer cases and 45,494 cancer-free controls were obtained. The quality assessment of six articles obtained a summarized score less than 6 in terms of the Newcastle-Ottawa Scale (NOS). All statistical analyses were calculated with the software STATA (Version 14.0; Stata Corp, College Station, TX). We found all the three polymorphisms can enhance overall cancer risk, especially in Asians, under different genetic comparisons. In the subgroup analysis by cancer type, we found a moderate association between rs1800734 and the risk of gastric cancer (allele model: OR = 1.14, P = 0.017; homozygote model: OR = 1.33, P = 0.019; dominant model: OR = 1.27, P = 0.024) and lung cancer in recessive model (OR = 1.27, P = 0.024). The G allele of rs1799977 polymorphism was proved to connect with susceptibility of colorectal cancer (allele model: OR = 1.21, P = 0.023; dominate model: OR = 1.32, P <0.0001) and prostate cancer (dominate model: OR = 1.36, P <0.0001). Rs63750447 showed an increased risk of colorectal cancer, endometrial cancer and gastric cancer under all genetic models. These findings provide evidence that hMLH1 polymorphisms may associate with cancer risk, especially in Asians.