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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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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. |
format | Online Article Text |
id | pubmed-8672820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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