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Genetic Variants Within MTORC1 Genes Predict Gastric Cancer Prognosis in Chinese Populations

Objective: Mammalian target of rapamycin complex 1 (mTORC1) plays an important role in maintaining proper cellular functions in gastric cancer (GC). Previous studies demonstrated genetic variants within mTORC1 genes were associated with GC risk. However, no studies reported the associations between...

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Autores principales: Xue, Wenji, Wang, Mengyun, Zhang, Li, Gu, Jianchun, Zhu, Xueru, Wang, Yiwei, Wang, Ruifen, Wang, Lifeng, Wang, Weiye, Wang, Xue-Feng, Mei, Jia-Wei, Zheng, Leizhen, Zhu, Mei-Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5929090/
https://www.ncbi.nlm.nih.gov/pubmed/29721055
http://dx.doi.org/10.7150/jca.23566
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author Xue, Wenji
Wang, Mengyun
Zhang, Li
Gu, Jianchun
Zhu, Xueru
Wang, Yiwei
Wang, Ruifen
Wang, Lifeng
Wang, Weiye
Wang, Xue-Feng
Mei, Jia-Wei
Zheng, Leizhen
Zhu, Mei-Ling
author_facet Xue, Wenji
Wang, Mengyun
Zhang, Li
Gu, Jianchun
Zhu, Xueru
Wang, Yiwei
Wang, Ruifen
Wang, Lifeng
Wang, Weiye
Wang, Xue-Feng
Mei, Jia-Wei
Zheng, Leizhen
Zhu, Mei-Ling
author_sort Xue, Wenji
collection PubMed
description Objective: Mammalian target of rapamycin complex 1 (mTORC1) plays an important role in maintaining proper cellular functions in gastric cancer (GC). Previous studies demonstrated genetic variants within mTORC1 genes were associated with GC risk. However, no studies reported the associations between genetic variants within mTORC1 genes and GC prognosis. Herein, we firstly assessed the associations of genetic variants of mTORC1 genes with overall survival (OS) of GC in Chinese populations. Methods: We genotyped eight single nucleotide polymorphisms (SNPs) in mTORC1 genes (i.e., rs2536 T>C and rs1883965 G>A for mTOR, rs3160 T>C and rs26865 A>G for MLST8, rs3751934 C>A, rs1062935 T>C, rs3751932 T>C and rs12602885 G>A for RPTOR) by the TaqMan method in 197 Chinese GC patients who had surgical resection in Xinhua Hospital. We conducted Kaplan-Meier survival plots and Cox hazards regression analysis to explore the associations of these SNPs with OS. Results: The single-locus analysis indicated that RPTOR rs1062935 T>C was associated with an increased risk of poor GC prognosis (CC vs. TT/TC: adjusted Hazard ratio (HR) = 1.71, 95% confidence interval (CI) = 1.04-2.82). The combined analysis of all eight SNPs showed that patients with more than three risk genotypes significantly increased risk of death (adjusted HR = 2.44, 95% CI = 1.30-4.58), when compared to those with three or less risk genotypes. Conclusions: Our findings indicated that genetic variants within mTORC1 genes may predict GC prognosis in Chinese populations. The results need to be validated in future studies with larger sample sizes.
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spelling pubmed-59290902018-05-02 Genetic Variants Within MTORC1 Genes Predict Gastric Cancer Prognosis in Chinese Populations Xue, Wenji Wang, Mengyun Zhang, Li Gu, Jianchun Zhu, Xueru Wang, Yiwei Wang, Ruifen Wang, Lifeng Wang, Weiye Wang, Xue-Feng Mei, Jia-Wei Zheng, Leizhen Zhu, Mei-Ling J Cancer Research Paper Objective: Mammalian target of rapamycin complex 1 (mTORC1) plays an important role in maintaining proper cellular functions in gastric cancer (GC). Previous studies demonstrated genetic variants within mTORC1 genes were associated with GC risk. However, no studies reported the associations between genetic variants within mTORC1 genes and GC prognosis. Herein, we firstly assessed the associations of genetic variants of mTORC1 genes with overall survival (OS) of GC in Chinese populations. Methods: We genotyped eight single nucleotide polymorphisms (SNPs) in mTORC1 genes (i.e., rs2536 T>C and rs1883965 G>A for mTOR, rs3160 T>C and rs26865 A>G for MLST8, rs3751934 C>A, rs1062935 T>C, rs3751932 T>C and rs12602885 G>A for RPTOR) by the TaqMan method in 197 Chinese GC patients who had surgical resection in Xinhua Hospital. We conducted Kaplan-Meier survival plots and Cox hazards regression analysis to explore the associations of these SNPs with OS. Results: The single-locus analysis indicated that RPTOR rs1062935 T>C was associated with an increased risk of poor GC prognosis (CC vs. TT/TC: adjusted Hazard ratio (HR) = 1.71, 95% confidence interval (CI) = 1.04-2.82). The combined analysis of all eight SNPs showed that patients with more than three risk genotypes significantly increased risk of death (adjusted HR = 2.44, 95% CI = 1.30-4.58), when compared to those with three or less risk genotypes. Conclusions: Our findings indicated that genetic variants within mTORC1 genes may predict GC prognosis in Chinese populations. The results need to be validated in future studies with larger sample sizes. Ivyspring International Publisher 2018-04-06 /pmc/articles/PMC5929090/ /pubmed/29721055 http://dx.doi.org/10.7150/jca.23566 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Xue, Wenji
Wang, Mengyun
Zhang, Li
Gu, Jianchun
Zhu, Xueru
Wang, Yiwei
Wang, Ruifen
Wang, Lifeng
Wang, Weiye
Wang, Xue-Feng
Mei, Jia-Wei
Zheng, Leizhen
Zhu, Mei-Ling
Genetic Variants Within MTORC1 Genes Predict Gastric Cancer Prognosis in Chinese Populations
title Genetic Variants Within MTORC1 Genes Predict Gastric Cancer Prognosis in Chinese Populations
title_full Genetic Variants Within MTORC1 Genes Predict Gastric Cancer Prognosis in Chinese Populations
title_fullStr Genetic Variants Within MTORC1 Genes Predict Gastric Cancer Prognosis in Chinese Populations
title_full_unstemmed Genetic Variants Within MTORC1 Genes Predict Gastric Cancer Prognosis in Chinese Populations
title_short Genetic Variants Within MTORC1 Genes Predict Gastric Cancer Prognosis in Chinese Populations
title_sort genetic variants within mtorc1 genes predict gastric cancer prognosis in chinese populations
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5929090/
https://www.ncbi.nlm.nih.gov/pubmed/29721055
http://dx.doi.org/10.7150/jca.23566
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