Advances in Clinical and Experimental Medicine

Title abbreviation: Adv Clin Exp Med
JCR Impact Factor (IF) – 1.736
5-Year Impact Factor – 2.135
Index Copernicus  – 166.39
MEiN – 70 pts

ISSN 1899–5276 (print)
ISSN 2451-2680 (online)
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Advances in Clinical and Experimental Medicine

2016, vol. 25, nr 6, November-December, p. 1165–1172

doi: 10.17219/acem/36603

Publication type: original article

Language: English

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Polymorphisms of TGFβ1T+869C and C-509T with Lung Cancer Risk: A Meta-analysis

Zhaomin Deng1,A,B,C,D,E,F, Yuan Yang1,A,B,C,D,E,F, Xiaojun Huang1,A,B,C,D,E,F, Yu Kuang1,A,B,C,D,E,F, Zhen Qin1,B,C,D,E,F, Baoning Wang1,B,C,D,E,F, Hongren Wang1,B,C,D,E,F, Mingyuan Li1,A,B,C,D,E,F

1 Department of Microbiology, West China School of Preclinical and Forensic Medicine, Sichuan University

Abstract

Background. Lung cancer is the most common malignancy worldwide. A better understanding of the mechanisms may contribute to early diagnosis and establishment of new therapeutic targets.
Objectives. A meta-analysis was performed to investigate the association of transforming growth factor-beta 1 (TGFβ1) T+869C and C-509T polymorphisms with lung cancer susceptibility.
Material and Methods. Relevant studies were identified through PubMed, Medline, Embase and CNKI databases. The pooled odds ratios (ORs) with its 95% confidence intervals (CIs) were employed to assess these associations in a fixedor random-effects model.
Results. For the TGFβ1 T+869C polymorphism, 5 published case-control studies with 1167 cases and 1365 controls were included. Overall, no significant association was found between the TGFβ1 T+869C polymorphism and lung cancer susceptibility under any genetic models in the total population (p > 0.05). A subgroup analysis by ethnicity showed no significant association among the Asian population as well, while a significant association was observed in Caucasian descendants. For the TGFβ1 C-509T polymorphism, 4 studies were considered, including 1029 cases and 1133 controls. However, this polymorphism also did not increase the risk of lung cancer in all genetic comparison models.
Conclusion. This meta-analysis suggests that TGFβ1 T+869C and C-509T polymorphisms may not contribute to lung cancer risk in the total population, while the T+869C polymorphism may increase the risk of lung cancer in the Caucasian population. However, many studies are still required to evaluate these associations in large populations.

Key words

lung cancer, polymorphism, meta-analysis, transforming growth factor-beta 1

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