Proliferation Cycle Transcriptomic Signatures are Strongly associated With Gastric Cancer Patient Survival

Gastric cancer is one of the most heterogeneous tumors with multi-level molecular disturbances. Sustaining proliferative signaling and evading growth suppressors are two important hallmarks that enable the cancer cells to become tumorigenic and ultimately malignant, which enable tumor growth. Discov...

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Autores principales:	Jianwen Hu, Yanpeng Yang, Yongchen Ma, Yingze Ning, Guowei Chen, Yucun Liu
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	the cancer genome atlas gene expression omnibus proliferation cell cycle cluster gastric cancer Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/862dc6ce46504646afce75b12761dc37
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spelling	oai:doaj.org-article:862dc6ce46504646afce75b12761dc372021-12-02T01:07:31ZProliferation Cycle Transcriptomic Signatures are Strongly associated With Gastric Cancer Patient Survival2296-634X10.3389/fcell.2021.770994https://doaj.org/article/862dc6ce46504646afce75b12761dc372021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fcell.2021.770994/fullhttps://doaj.org/toc/2296-634XGastric cancer is one of the most heterogeneous tumors with multi-level molecular disturbances. Sustaining proliferative signaling and evading growth suppressors are two important hallmarks that enable the cancer cells to become tumorigenic and ultimately malignant, which enable tumor growth. Discovering and understanding the difference in tumor proliferation cycle phenotypes can be used to better classify tumors, and provide classification schemes for disease diagnosis and treatment options, which are more in line with the requirements of today’s precision medicine. We collected 691 eligible samples from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database, combined with transcriptome data, to explore different heterogeneous proliferation cycle phenotypes, and further study the potential genomic changes that may lead to these different phenotypes in this study. Interestingly, two subtypes with different clinical and biological characteristics were identified through cluster analysis of gastric cancer transcriptome data. The repeatability of the classification was confirmed in an independent Gene Expression Omnibus validation cohort, and consistent phenotypes were observed. These two phenotypes showed different clinical outcomes, and tumor mutation burden. This classification helped us to better classify gastric cancer patients and provide targeted treatment based on specific transcriptome data.Jianwen HuYanpeng YangYongchen MaYingze NingGuowei ChenYucun LiuFrontiers Media S.A.articlethe cancer genome atlasgene expression omnibusproliferationcell cycleclustergastric cancerBiology (General)QH301-705.5ENFrontiers in Cell and Developmental Biology, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	the cancer genome atlas gene expression omnibus proliferation cell cycle cluster gastric cancer Biology (General) QH301-705.5
spellingShingle	the cancer genome atlas gene expression omnibus proliferation cell cycle cluster gastric cancer Biology (General) QH301-705.5 Jianwen Hu Yanpeng Yang Yongchen Ma Yingze Ning Guowei Chen Yucun Liu Proliferation Cycle Transcriptomic Signatures are Strongly associated With Gastric Cancer Patient Survival
description	Gastric cancer is one of the most heterogeneous tumors with multi-level molecular disturbances. Sustaining proliferative signaling and evading growth suppressors are two important hallmarks that enable the cancer cells to become tumorigenic and ultimately malignant, which enable tumor growth. Discovering and understanding the difference in tumor proliferation cycle phenotypes can be used to better classify tumors, and provide classification schemes for disease diagnosis and treatment options, which are more in line with the requirements of today’s precision medicine. We collected 691 eligible samples from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database, combined with transcriptome data, to explore different heterogeneous proliferation cycle phenotypes, and further study the potential genomic changes that may lead to these different phenotypes in this study. Interestingly, two subtypes with different clinical and biological characteristics were identified through cluster analysis of gastric cancer transcriptome data. The repeatability of the classification was confirmed in an independent Gene Expression Omnibus validation cohort, and consistent phenotypes were observed. These two phenotypes showed different clinical outcomes, and tumor mutation burden. This classification helped us to better classify gastric cancer patients and provide targeted treatment based on specific transcriptome data.
format	article
author	Jianwen Hu Yanpeng Yang Yongchen Ma Yingze Ning Guowei Chen Yucun Liu
author_facet	Jianwen Hu Yanpeng Yang Yongchen Ma Yingze Ning Guowei Chen Yucun Liu
author_sort	Jianwen Hu
title	Proliferation Cycle Transcriptomic Signatures are Strongly associated With Gastric Cancer Patient Survival
title_short	Proliferation Cycle Transcriptomic Signatures are Strongly associated With Gastric Cancer Patient Survival
title_full	Proliferation Cycle Transcriptomic Signatures are Strongly associated With Gastric Cancer Patient Survival
title_fullStr	Proliferation Cycle Transcriptomic Signatures are Strongly associated With Gastric Cancer Patient Survival
title_full_unstemmed	Proliferation Cycle Transcriptomic Signatures are Strongly associated With Gastric Cancer Patient Survival
title_sort	proliferation cycle transcriptomic signatures are strongly associated with gastric cancer patient survival
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/862dc6ce46504646afce75b12761dc37
work_keys_str_mv	AT jianwenhu proliferationcycletranscriptomicsignaturesarestronglyassociatedwithgastriccancerpatientsurvival AT yanpengyang proliferationcycletranscriptomicsignaturesarestronglyassociatedwithgastriccancerpatientsurvival AT yongchenma proliferationcycletranscriptomicsignaturesarestronglyassociatedwithgastriccancerpatientsurvival AT yingzening proliferationcycletranscriptomicsignaturesarestronglyassociatedwithgastriccancerpatientsurvival AT guoweichen proliferationcycletranscriptomicsignaturesarestronglyassociatedwithgastriccancerpatientsurvival AT yucunliu proliferationcycletranscriptomicsignaturesarestronglyassociatedwithgastriccancerpatientsurvival
_version_	1718403328770048000

Proliferation Cycle Transcriptomic Signatures are Strongly associated With Gastric Cancer Patient Survival

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