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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: Hu, Jianwen, Yang, Yanpeng, Ma, Yongchen, Ning, Yingze, Chen, Guowei, Liu, Yucun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672820/
https://www.ncbi.nlm.nih.gov/pubmed/34926458
http://dx.doi.org/10.3389/fcell.2021.770994
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author Hu, Jianwen
Yang, Yanpeng
Ma, Yongchen
Ning, Yingze
Chen, Guowei
Liu, Yucun
author_facet Hu, Jianwen
Yang, Yanpeng
Ma, Yongchen
Ning, Yingze
Chen, Guowei
Liu, Yucun
author_sort Hu, Jianwen
collection PubMed
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.
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spelling pubmed-86728202021-12-16 Proliferation Cycle Transcriptomic Signatures are Strongly associated With Gastric Cancer Patient Survival Hu, Jianwen Yang, Yanpeng Ma, Yongchen Ning, Yingze Chen, Guowei Liu, Yucun Front Cell Dev Biol Cell and Developmental Biology 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. Frontiers Media S.A. 2021-12-01 /pmc/articles/PMC8672820/ /pubmed/34926458 http://dx.doi.org/10.3389/fcell.2021.770994 Text en Copyright © 2021 Hu, Yang, Ma, Ning, Chen and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cell and Developmental Biology
Hu, Jianwen
Yang, Yanpeng
Ma, Yongchen
Ning, Yingze
Chen, Guowei
Liu, Yucun
Proliferation Cycle Transcriptomic Signatures are Strongly associated With Gastric Cancer Patient Survival
title 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_short 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
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672820/
https://www.ncbi.nlm.nih.gov/pubmed/34926458
http://dx.doi.org/10.3389/fcell.2021.770994
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