A novel signature for stratifying the molecular heterogeneity of the tissue-infiltrating T-cell receptor repertoire reflects gastric cancer prognosis

Abstract Many basic properties of the T-cell receptor (TCR) repertoire require clarification, and the changes occurring in the TCR repertoire during carcinogenesis, especially during precancerous stages, remain unclear. This study used deep sequencing analyses to examine 41 gastric tissue samples at...

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Autores principales: Manchao Kuang, Jieyao Cheng, Chengli Zhang, Lin Feng, Xue Xu, Yajing Zhang, Ming Zu, Jianfang Cui, Hang Yu, Kaitai Zhang, Aiming Yang, Shujun Cheng
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Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/429c8b47cda445968aacff01c6f16875
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spelling oai:doaj.org-article:429c8b47cda445968aacff01c6f168752021-12-02T15:06:15ZA novel signature for stratifying the molecular heterogeneity of the tissue-infiltrating T-cell receptor repertoire reflects gastric cancer prognosis10.1038/s41598-017-08289-z2045-2322https://doaj.org/article/429c8b47cda445968aacff01c6f168752017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08289-zhttps://doaj.org/toc/2045-2322Abstract Many basic properties of the T-cell receptor (TCR) repertoire require clarification, and the changes occurring in the TCR repertoire during carcinogenesis, especially during precancerous stages, remain unclear. This study used deep sequencing analyses to examine 41 gastric tissue samples at different pathological stages, including low-grade intraepithelial neoplasia, high-grade intraepithelial neoplasia, early gastric cancer and matched adjacent tissues, to define the characteristics of the infiltrating TCRβ repertoire during gastric carcinogenesis. Moreover, to illustrate the relationship between the local molecular phenotype and TCR repertoire of the microenvironment, whole-genome gene expression microarray analysis of the corresponding gastric precancerous lesions and early gastric cancer tissues was conducted. Our results showed that the degree of variation in the TCR repertoire gradually increased during tumourigenesis. Integrative analysis of microarray data and the TCR repertoire variation index using the network-based Clique Percolation Method identified an 11-gene module related to the inflammatory response that can predict the overall survival of gastric cancer (GC) patients. In conclusion, our results revealed the multistage heterogeneity of tissue-infiltrating TCR repertoire during carcinogenesis. We report a novel way for identifying prognostic biomarkers for GC patients and improves our understanding of immune responses during gastric carcinogenesis.Manchao KuangJieyao ChengChengli ZhangLin FengXue XuYajing ZhangMing ZuJianfang CuiHang YuKaitai ZhangAiming YangShujun ChengNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Manchao Kuang
Jieyao Cheng
Chengli Zhang
Lin Feng
Xue Xu
Yajing Zhang
Ming Zu
Jianfang Cui
Hang Yu
Kaitai Zhang
Aiming Yang
Shujun Cheng
A novel signature for stratifying the molecular heterogeneity of the tissue-infiltrating T-cell receptor repertoire reflects gastric cancer prognosis
description Abstract Many basic properties of the T-cell receptor (TCR) repertoire require clarification, and the changes occurring in the TCR repertoire during carcinogenesis, especially during precancerous stages, remain unclear. This study used deep sequencing analyses to examine 41 gastric tissue samples at different pathological stages, including low-grade intraepithelial neoplasia, high-grade intraepithelial neoplasia, early gastric cancer and matched adjacent tissues, to define the characteristics of the infiltrating TCRβ repertoire during gastric carcinogenesis. Moreover, to illustrate the relationship between the local molecular phenotype and TCR repertoire of the microenvironment, whole-genome gene expression microarray analysis of the corresponding gastric precancerous lesions and early gastric cancer tissues was conducted. Our results showed that the degree of variation in the TCR repertoire gradually increased during tumourigenesis. Integrative analysis of microarray data and the TCR repertoire variation index using the network-based Clique Percolation Method identified an 11-gene module related to the inflammatory response that can predict the overall survival of gastric cancer (GC) patients. In conclusion, our results revealed the multistage heterogeneity of tissue-infiltrating TCR repertoire during carcinogenesis. We report a novel way for identifying prognostic biomarkers for GC patients and improves our understanding of immune responses during gastric carcinogenesis.
format article
author Manchao Kuang
Jieyao Cheng
Chengli Zhang
Lin Feng
Xue Xu
Yajing Zhang
Ming Zu
Jianfang Cui
Hang Yu
Kaitai Zhang
Aiming Yang
Shujun Cheng
author_facet Manchao Kuang
Jieyao Cheng
Chengli Zhang
Lin Feng
Xue Xu
Yajing Zhang
Ming Zu
Jianfang Cui
Hang Yu
Kaitai Zhang
Aiming Yang
Shujun Cheng
author_sort Manchao Kuang
title A novel signature for stratifying the molecular heterogeneity of the tissue-infiltrating T-cell receptor repertoire reflects gastric cancer prognosis
title_short A novel signature for stratifying the molecular heterogeneity of the tissue-infiltrating T-cell receptor repertoire reflects gastric cancer prognosis
title_full A novel signature for stratifying the molecular heterogeneity of the tissue-infiltrating T-cell receptor repertoire reflects gastric cancer prognosis
title_fullStr A novel signature for stratifying the molecular heterogeneity of the tissue-infiltrating T-cell receptor repertoire reflects gastric cancer prognosis
title_full_unstemmed A novel signature for stratifying the molecular heterogeneity of the tissue-infiltrating T-cell receptor repertoire reflects gastric cancer prognosis
title_sort novel signature for stratifying the molecular heterogeneity of the tissue-infiltrating t-cell receptor repertoire reflects gastric cancer prognosis
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/429c8b47cda445968aacff01c6f16875
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