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Variants in Notch signalling pathway genes, PSEN1 and MAML2, predict overall survival in Chinese patients with epithelial ovarian cancer

To identify genetic variants in Notch signalling pathway genes that may predict survival of Han Chinese patients with epithelial ovarian cancer (EOC), we analysed a total of 1273 single nucleotide polymorphisms (SNPs) within 75 Notch genes in 480 patients from a published EOC genomewide association...

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Autores principales: Xu, Yuan, Cheng, Lei, Dai, Hongji, Zhang, Ruoxin, Wang, Mengyun, Shi, Tingyan, Sun, Menghong, Cheng, Xi, Wei, Qingyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156353/
https://www.ncbi.nlm.nih.gov/pubmed/30055028
http://dx.doi.org/10.1111/jcmm.13764
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author Xu, Yuan
Cheng, Lei
Dai, Hongji
Zhang, Ruoxin
Wang, Mengyun
Shi, Tingyan
Sun, Menghong
Cheng, Xi
Wei, Qingyi
author_facet Xu, Yuan
Cheng, Lei
Dai, Hongji
Zhang, Ruoxin
Wang, Mengyun
Shi, Tingyan
Sun, Menghong
Cheng, Xi
Wei, Qingyi
author_sort Xu, Yuan
collection PubMed
description To identify genetic variants in Notch signalling pathway genes that may predict survival of Han Chinese patients with epithelial ovarian cancer (EOC), we analysed a total of 1273 single nucleotide polymorphisms (SNPs) within 75 Notch genes in 480 patients from a published EOC genomewide association study (GWAS). We found that PSEN1 rs165934 and MAML2 rs76032516 were associated with overall survival (OS) of patients by multivariate Cox proportional hazards regression analysis. Specifically, the PSEN1 rs165934 AA genotype was associated with a poorer survival (adjusted hazards ratio [adjHR] = 1.41, 95% CI = 1.07‐1.84, and P = .014), compared with the CC + CA genotype, while MAML2 rs76032516 AA + AC genotypes were associated with a poorer survival (adjHR = 1.58, 95% CI = 1.16‐2.14, P = .004), compared with the CC genotype. The combined analysis of these two SNPs revealed that the death risk increased as the number of unfavourable genotypes increased in a dose‐dependent manner (P (trend) < .001). Additionally, the expression quantitative trait loci analysis revealed that the SNP rs165932 in the rs165934 LD block (r (2) = .946) was associated with expression levels of PSEN1, which might be responsible for the observed association with SNP rs165934. The associations of PSEN1 rs165934 and MAML2 rs76032516 of the Notch signalling pathway genes with OS in Chinese EOC patients are novel findings, which need to be validated in other large and independent studies.
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spelling pubmed-61563532018-10-01 Variants in Notch signalling pathway genes, PSEN1 and MAML2, predict overall survival in Chinese patients with epithelial ovarian cancer Xu, Yuan Cheng, Lei Dai, Hongji Zhang, Ruoxin Wang, Mengyun Shi, Tingyan Sun, Menghong Cheng, Xi Wei, Qingyi J Cell Mol Med Original Articles To identify genetic variants in Notch signalling pathway genes that may predict survival of Han Chinese patients with epithelial ovarian cancer (EOC), we analysed a total of 1273 single nucleotide polymorphisms (SNPs) within 75 Notch genes in 480 patients from a published EOC genomewide association study (GWAS). We found that PSEN1 rs165934 and MAML2 rs76032516 were associated with overall survival (OS) of patients by multivariate Cox proportional hazards regression analysis. Specifically, the PSEN1 rs165934 AA genotype was associated with a poorer survival (adjusted hazards ratio [adjHR] = 1.41, 95% CI = 1.07‐1.84, and P = .014), compared with the CC + CA genotype, while MAML2 rs76032516 AA + AC genotypes were associated with a poorer survival (adjHR = 1.58, 95% CI = 1.16‐2.14, P = .004), compared with the CC genotype. The combined analysis of these two SNPs revealed that the death risk increased as the number of unfavourable genotypes increased in a dose‐dependent manner (P (trend) < .001). Additionally, the expression quantitative trait loci analysis revealed that the SNP rs165932 in the rs165934 LD block (r (2) = .946) was associated with expression levels of PSEN1, which might be responsible for the observed association with SNP rs165934. The associations of PSEN1 rs165934 and MAML2 rs76032516 of the Notch signalling pathway genes with OS in Chinese EOC patients are novel findings, which need to be validated in other large and independent studies. John Wiley and Sons Inc. 2018-07-28 2018-10 /pmc/articles/PMC6156353/ /pubmed/30055028 http://dx.doi.org/10.1111/jcmm.13764 Text en © 2018 The Authors. Journal of Cellular and Molecular Medicine published by John Wiley & Sons Ltd and Foundation for Cellular and Molecular Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Xu, Yuan
Cheng, Lei
Dai, Hongji
Zhang, Ruoxin
Wang, Mengyun
Shi, Tingyan
Sun, Menghong
Cheng, Xi
Wei, Qingyi
Variants in Notch signalling pathway genes, PSEN1 and MAML2, predict overall survival in Chinese patients with epithelial ovarian cancer
title Variants in Notch signalling pathway genes, PSEN1 and MAML2, predict overall survival in Chinese patients with epithelial ovarian cancer
title_full Variants in Notch signalling pathway genes, PSEN1 and MAML2, predict overall survival in Chinese patients with epithelial ovarian cancer
title_fullStr Variants in Notch signalling pathway genes, PSEN1 and MAML2, predict overall survival in Chinese patients with epithelial ovarian cancer
title_full_unstemmed Variants in Notch signalling pathway genes, PSEN1 and MAML2, predict overall survival in Chinese patients with epithelial ovarian cancer
title_short Variants in Notch signalling pathway genes, PSEN1 and MAML2, predict overall survival in Chinese patients with epithelial ovarian cancer
title_sort variants in notch signalling pathway genes, psen1 and maml2, predict overall survival in chinese patients with epithelial ovarian cancer
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156353/
https://www.ncbi.nlm.nih.gov/pubmed/30055028
http://dx.doi.org/10.1111/jcmm.13764
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