Abstract

Cleft lip and palate transmembrane 1-like (CLPTM1L) gene rs402710 (C > T) and rs401681 (C > T) polymorphisms have been widely studied for their potential relation to cancer risk, but studies have produced conflicting results. To systematically evaluate the association between these two polymorphisms and overall cancer risk, we conducted a comprehensive meta-analysis on all relevant articles found in the PubMed and EMBASE databases published prior to May 1, 2017. There were 26 articles with 28 studies, including 30,770 cases and 34,089 controls, for the rs402710 polymorphism and 38 articles with 48 studies, including 67,849 cases and 328,226 controls, for the rs401681 polymorphism. The pooled results indicated that both rs402710 and rs401681 polymorphisms are significantly associated with decreased overall cancer risk. In our stratification analysis, a significant association of the rs402710 polymorphism with lung and bladder cancers was identified among Asian and Caucasian populations in both hospital-based and population-based studies. The rs401681 polymorphism was significantly associated with a decreased risk of lung cancer, bladder cancer, and basal cell carcinoma in Asians and in hospital-based studies. CLPTM1L gene rs402710 and rs401681 polymorphisms thus have a protective association with various types of cancer, especially lung cancer among Asians.

Highlights

  • The number of people who will develop and die from cancer is expected to climb rapidly around the world [1]

  • The Cleft lip and palate transmembrane 1-like (CLPTM1L) gene encodes the CLPTM1like protein which is highly expressed in cisplatinresistant ovarian tumor cell lines and is associated with cisplatin-induced apoptosis [8]

  • Some common genetic variants of Telomerase reverse transcriptase (TERT)-CLPTM1L are hypothesized to have an important role in initiation and development of many cancers, including lung, bladder, pancreatic, thyroid, and breast cancer

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Summary

Introduction

The number of people who will develop and die from cancer is expected to climb rapidly around the world [1]. In 2016, a total of 1,685,210 cases of cancer were newly diagnosed and 595,690 people died from cancer in the United States [2]. Approximately 4,292,000 new cancer cases and 2,814.000 cancer deaths were projected in China in 2015 [3]. It is imperative to deal with the rising cancer burden by taking full advantage of the knowledge embedded in cancer statistics, causes, and mechanisms and apply it to cancer prevention and screening [4]. The roles of multiple genetic changes in influencing the evolution of cancer have been investigated over the years [6]

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