Volume 134, Issue 4 pp. 822-831
Cancer Genetics

Genetic variants in fas signaling pathway genes and risk of gastric cancer

Paula L. Hyland

Corresponding Author

Paula L. Hyland

Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA

Cancer Prevention Fellowship Program, Division of Cancer Prevention, NCI, NIH, Bethesda, MD, USA

Correspondence to: Paula L. Hyland, Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Institutes of Health, Bethesda, Maryland 20892, Tel.: 240-276-7225, E-mail: [email protected]Search for more papers by this author
Shih-Wen Lin

Shih-Wen Lin

Cancer Prevention Fellowship Program, Division of Cancer Prevention, NCI, NIH, Bethesda, MD, USA

Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, MD, USA

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Nan Hu

Nan Hu

Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA

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Han Zhang

Han Zhang

Biostatistics Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, MD, USA

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Lemin Wang

Lemin Wang

Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA

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Hua Su

Hua Su

Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA

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Chaoyu Wang

Chaoyu Wang

Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA

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Ti Ding

Ti Ding

Shanxi Cancer Hospital, Taiyuan, People's Republic (PR) China

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Ze-Zhong Tang

Ze-Zhong Tang

Shanxi Cancer Hospital, Taiyuan, People's Republic (PR) China

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Jin-Hu Fan

Jin-Hu Fan

Department of Epidemiology, Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Beijing, People's Republic (PR) China

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You-Lin Qiao

You-Lin Qiao

Department of Epidemiology, Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Beijing, People's Republic (PR) China

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Xiaoqin Xiong

Xiaoqin Xiong

Information Management Services, Inc, Silver Spring, MD, USA

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William Wheeler

William Wheeler

Information Management Services, Inc, Silver Spring, MD, USA

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Carol Giffen

Carol Giffen

Information Management Services, Inc, Silver Spring, MD, USA

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Kai Yu

Kai Yu

Biostatistics Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, MD, USA

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Jeff Yuenger

Jeff Yuenger

Core Genotyping Facility, NCI-Frederick, SAIC-Frederick Inc, and Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA

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Laurie Burdett

Laurie Burdett

Core Genotyping Facility, NCI-Frederick, SAIC-Frederick Inc, and Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA

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Zhaoming Wang

Zhaoming Wang

Core Genotyping Facility, NCI-Frederick, SAIC-Frederick Inc, and Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA

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Stephen J. Chanock

Stephen J. Chanock

Core Genotyping Facility, NCI-Frederick, SAIC-Frederick Inc, and Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA

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Margaret A. Tucker

Margaret A. Tucker

Human Genetics Program, Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, MD, USA

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Sanford M. Dawsey

Sanford M. Dawsey

Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, MD, USA

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Neal D. Freedman

Neal D. Freedman

Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, MD, USA

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Alisa M. Goldstein

Alisa M. Goldstein

Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA

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Christian C. Abnet

Christian C. Abnet

Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, MD, USA

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Philip R. Taylor

Philip R. Taylor

Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA

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First published: 07 August 2013
Citations: 21

Abstract

Populations in north central China are at high risk for gastric cancers (GC), and altered FAS-mediated cell signaling and/or apoptosis may contribute to this risk. We examined the association of 554 single nucleotide polymorphisms (SNPs) in 53 Fas signaling-related genes using a pathway-based approach in 1758 GC cases (1126 gastric cardia adenocarcinomas (GCA) and 632 gastric noncardia adenocarcinomas (GNCA)), and 2111 controls from a genome-wide association study (GWAS) of GC in ethnic Chinese. SNP associations with risk of overall GC, GCA and GNCA were evaluated using unconditional logistic regressions controlling for age, sex and study. Gene- and pathway-based associations were tested using the adaptive rank-truncated product (ARTP) method. Statistical significance was evaluated empirically by permutation. Significant pathway-based associations were observed for Fas signaling with risk of overall GC (p = 5.5E-04) and GCA (p = 6.3E-03), but not GNCA (p= 8.1E-02). Among examined genes in the Fas signaling pathway, MAP2K4, FAF1, MAPK8, CASP10, CASP8, CFLAR, MAP2K1, CAP8AP2, PAK2 and IKBKB were associated with risk of GC (nominal p < 0.05), and FAF1 and MAPK8 were significantly associated with risk of both GCA and GNCA (nominal p< 0.05). Our examination of genetic variation in the Fas signaling pathway is consistent with an association of altered Fas signaling and/or apoptosis with risk of GC. As one of the first attempts to investigate a pathway-level association, our results suggest that these genes and the Fas signaling pathway warrant further evaluation in relation to GC risk in other populations.

Abstract

What's new?

The bacteria H. pylori is known to cause gastric cancer, but genetic changes can also contribute, particularly in high-risk populations. Identifying these genetic changes in patients could help clinicians make more accurate prognosis of gastric cancer. These authors looked at variation in genes of the Fas signaling pathway, searching for a connection with GC in a high-risk Chinese population. They found that changes in ten specific genes contributed to GC risk in the population, suggesting further work to investigate the functions of those genes.

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