Dataset Information

Significant Association of Interleukin-16 Genetic Variations to Taiwanese Lung Cancer.

ABSTRACT: BACKGROUND/AIM:Interleukin-16 has been reported to exhibit tumoricidal effects, however, the contribution of IL-16 genotypes to lung cancer is still largely unrevealed. This study aimed at investigating whether IL-16 genotypes contribute to lung cancer susceptibility. MATERIALS AND METHODS:IL-16 rs4778889, rs11556218, and rs4072111 genotypic characteristics were determined among 358 lung cancer patients and 716 controls via the polymerase chain reaction-based restriction fragment length polymorphism (PCR-RFLP) methodology. RESULTS:The highlight finding is that the distributions of genotypic (p=8.6E-10) and allelic (p=0.0001) frequencies of IL-16 rs11556218 was significantly different between cases and controls. In detail, the frequencies of IL-16 rs11556218 heterozygous variant TG and homozygous variant GG were 36.6 and 7.3% among the lung cancer patients, significantly higher than those among the controls (22.5% and 2.6%). On the other way, no difference was observed regarding IL-16 rs4778889 or IL-16 rs4072111. CONCLUSION:The present study indicates IL-16 rs11556218 G allele is significantly associated with increased Taiwan lung cancer risk.

SUBMITTER: Wu MF

PROVIDER: S-EPMC7279827 | biostudies-literature | 2020 May-Jun

REPOSITORIES: biostudies-literature

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Significant Association of Interleukin-16 Genetic Variations to Taiwanese Lung Cancer.

Wu Meng-Feng MF Wang Yun-Chi YC Shen Te-Chun TC Chang Wen-Shin WS Li Hsin-Ting HT Liao Cheng-Hsi CH Gong Chi-Li CL Wang Zhi-Hong ZH Tsai Chia-Wen CW Hsia Te-Chun TC Bau DA-Tian DT

In vivo (Athens, Greece) 20200501 3

<h4>Background/aim</h4>Interleukin-16 has been reported to exhibit tumoricidal effects, however, the contribution of IL-16 genotypes to lung cancer is still largely unrevealed. This study aimed at investigating whether IL-16 genotypes contribute to lung cancer susceptibility.<h4>Materials and methods</h4>IL-16 rs4778889, rs11556218, and rs4072111 genotypic characteristics were determined among 358 lung cancer patients and 716 controls via the polymerase chain reaction-based restriction fragment ...[more]

PMID: 32354900

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Project description:BackgroundCancer initiation and development are driven by key mutations in driver genes. Applying high-throughput sequencing technologies and bioinformatic analyses, The Cancer Genome Atlas (TCGA) project has identified panels of somatic mutations that contributed to the etiology of various cancers. However, there are few studies investigating the germline genetic variations in these significantly mutated genes (SMGs) and lung cancer susceptibility.Patients and methodsWe comprehensively evaluated 1655 tagged single nucleotide polymorphisms (SNPs) located in 127 SMGs identified by TCGA, and test their association with lung cancer risk in large-scale case-control study. Functional effect of the validated SNPs, gene mutation frequency and pathways were analyzed.ResultsWe found 11 SNPs in 8 genes showed consistent association (P < 0.1) and 8 SNPs significantly associated with lung cancer risk (P < 0.05) in both discovery and validation phases. The most significant association was rs10412613 in PPP2R1A, with the minor G allele associated with a decreased risk of lung cancer [odds ratio = 0.91, 95% confidence interval (CI): 0.87-0.96, P = 2.3 × 10-4]. Cumulative analysis of risk score built as a weight sum of the 11 SNPs showed consistently elevated risk with increasing risk score (P for trend = 9.5 × 10-9). In stratified analyses, the association of PPP2R1A:rs10412613 and lung cancer risk appeared stronger among population of younger age at diagnosis and never smokers. The expression quantitative trait loci analysis indicated that rs10412613, rs10804682, rs635469 and rs6742399 genotypes significantly correlated with the expression of PPP2R1A, ATR, SETBP1 and ERBB4, respectively. From TCGA data, expression of the identified genes was significantly different in lung tumors compared with normal tissues, and the genes' highest mutation frequency was found in lung cancers. Integrative pathway analysis indicated the identified genes were mainly involved in AKT/NF-κB regulatory pathway suggesting the underlying biological processes.ConclusionThis study revealed novel genetic variants in SMGs associated with lung cancer risk, which might contribute to elucidating the biological network involved in lung cancer development.

Dataset Information

Significant Association of Interleukin-16 Genetic Variations to Taiwanese Lung Cancer.

Publications

Significant Association of Interleukin-16 Genetic Variations to Taiwanese Lung Cancer.

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