Immune-Related Prognostic Model in Colon Cancer: A Gene Expression-Based Study

Mounting evidence supports that the malignant phenotypes of cancers are defined not only by the intrinsic activity of tumor cells but also by immune cells that are recruited and activated in tumor-related microenvironment. Here, we developed a diagnostic and prognostic model for colon cancer, based...

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Autores principales: Yang, Haojie, Jin, Wei, Liu, Hua, Gan, Dan, Cui, Can, Han, Changpeng, Wang, Zhenyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7227137/
https://www.ncbi.nlm.nih.gov/pubmed/32457797
http://dx.doi.org/10.3389/fgene.2020.00401
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author Yang, Haojie
Jin, Wei
Liu, Hua
Gan, Dan
Cui, Can
Han, Changpeng
Wang, Zhenyi
author_facet Yang, Haojie
Jin, Wei
Liu, Hua
Gan, Dan
Cui, Can
Han, Changpeng
Wang, Zhenyi
author_sort Yang, Haojie
collection PubMed
description Mounting evidence supports that the malignant phenotypes of cancers are defined not only by the intrinsic activity of tumor cells but also by immune cells that are recruited and activated in tumor-related microenvironment. Here, we developed a diagnostic and prognostic model for colon cancer, based on expression profiles of immune-related genes and immune cell component. As a result, we found that B cell infiltration ratio, CD4(+) T cells, as well as immune-related genes of TRIB3, CHGA, CASP7, LGALS4, LEP, NOX4, IL17A, and HSPD1 may be highly relevant with clinical outcome of colon cancer.
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spelling pubmed-72271372020-05-25 Immune-Related Prognostic Model in Colon Cancer: A Gene Expression-Based Study Yang, Haojie Jin, Wei Liu, Hua Gan, Dan Cui, Can Han, Changpeng Wang, Zhenyi Front Genet Genetics Mounting evidence supports that the malignant phenotypes of cancers are defined not only by the intrinsic activity of tumor cells but also by immune cells that are recruited and activated in tumor-related microenvironment. Here, we developed a diagnostic and prognostic model for colon cancer, based on expression profiles of immune-related genes and immune cell component. As a result, we found that B cell infiltration ratio, CD4(+) T cells, as well as immune-related genes of TRIB3, CHGA, CASP7, LGALS4, LEP, NOX4, IL17A, and HSPD1 may be highly relevant with clinical outcome of colon cancer. Frontiers Media S.A. 2020-05-08 /pmc/articles/PMC7227137/ /pubmed/32457797 http://dx.doi.org/10.3389/fgene.2020.00401 Text en Copyright © 2020 Yang, Jin, Liu, Gan, Cui, Han and Wang. http://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 Genetics
Yang, Haojie
Jin, Wei
Liu, Hua
Gan, Dan
Cui, Can
Han, Changpeng
Wang, Zhenyi
Immune-Related Prognostic Model in Colon Cancer: A Gene Expression-Based Study
title Immune-Related Prognostic Model in Colon Cancer: A Gene Expression-Based Study
title_full Immune-Related Prognostic Model in Colon Cancer: A Gene Expression-Based Study
title_fullStr Immune-Related Prognostic Model in Colon Cancer: A Gene Expression-Based Study
title_full_unstemmed Immune-Related Prognostic Model in Colon Cancer: A Gene Expression-Based Study
title_short Immune-Related Prognostic Model in Colon Cancer: A Gene Expression-Based Study
title_sort immune-related prognostic model in colon cancer: a gene expression-based study
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7227137/
https://www.ncbi.nlm.nih.gov/pubmed/32457797
http://dx.doi.org/10.3389/fgene.2020.00401
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