Molecular Subclassification Based on Crosstalk Analysis Improves Prediction of Prognosis in Colorectal Cancer

The poor performance of single-gene lists for prognostic predictions in independent cohorts has limited their clinical use. Here, we employed a pathway-based approach using embedded biological features to identify reproducible prognostic markers as an alternative. We used pathway activity score, sur...

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Autores principales:	Xiaohua Liu, Lili Su, Jingcong Li, Guoping Ou
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	colorectal cancer pathways deregulation score overall survival signature personalized medicine Genetics QH426-470
Acceso en línea:	https://doaj.org/article/60f26ba182e84b7fb62d9281fd1a5b04
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spelling	oai:doaj.org-article:60f26ba182e84b7fb62d9281fd1a5b042021-11-04T09:09:38ZMolecular Subclassification Based on Crosstalk Analysis Improves Prediction of Prognosis in Colorectal Cancer1664-802110.3389/fgene.2021.689676https://doaj.org/article/60f26ba182e84b7fb62d9281fd1a5b042021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.689676/fullhttps://doaj.org/toc/1664-8021The poor performance of single-gene lists for prognostic predictions in independent cohorts has limited their clinical use. Here, we employed a pathway-based approach using embedded biological features to identify reproducible prognostic markers as an alternative. We used pathway activity score, sure independence screening, and K-means clustering analyses to identify and cluster colorectal cancer patients into two distinct subgroups, G2 (aggressive) and G1 (moderate). The differences between these two groups with respect to survival, somatic mutation, pathway activity, and tumor-infiltration by immunocytes were compared. These comparisons revealed that the survival rates in the G2 subgroup were significantly reduced compared to that in the G1 subgroup; further, the mutational burden rates in several oncogenes, including KRAS, DCLK1, and EPHA5, were significantly higher in the G2 subgroup than in the G1 subgroup. The enhanced activity of the critical pathways such as MYC and epithelial-mesenchymal transition may also lead to the progression of colorectal cancer. Taken together, we established a novel prognostic classification system that offers meritorious insights into the hallmarks of colorectal cancer.Xiaohua LiuLili SuJingcong LiGuoping OuFrontiers Media S.A.articlecolorectal cancerpathways deregulation scoreoverall survivalsignaturepersonalized medicineGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	colorectal cancer pathways deregulation score overall survival signature personalized medicine Genetics QH426-470
spellingShingle	colorectal cancer pathways deregulation score overall survival signature personalized medicine Genetics QH426-470 Xiaohua Liu Lili Su Jingcong Li Guoping Ou Molecular Subclassification Based on Crosstalk Analysis Improves Prediction of Prognosis in Colorectal Cancer
description	The poor performance of single-gene lists for prognostic predictions in independent cohorts has limited their clinical use. Here, we employed a pathway-based approach using embedded biological features to identify reproducible prognostic markers as an alternative. We used pathway activity score, sure independence screening, and K-means clustering analyses to identify and cluster colorectal cancer patients into two distinct subgroups, G2 (aggressive) and G1 (moderate). The differences between these two groups with respect to survival, somatic mutation, pathway activity, and tumor-infiltration by immunocytes were compared. These comparisons revealed that the survival rates in the G2 subgroup were significantly reduced compared to that in the G1 subgroup; further, the mutational burden rates in several oncogenes, including KRAS, DCLK1, and EPHA5, were significantly higher in the G2 subgroup than in the G1 subgroup. The enhanced activity of the critical pathways such as MYC and epithelial-mesenchymal transition may also lead to the progression of colorectal cancer. Taken together, we established a novel prognostic classification system that offers meritorious insights into the hallmarks of colorectal cancer.
format	article
author	Xiaohua Liu Lili Su Jingcong Li Guoping Ou
author_facet	Xiaohua Liu Lili Su Jingcong Li Guoping Ou
author_sort	Xiaohua Liu
title	Molecular Subclassification Based on Crosstalk Analysis Improves Prediction of Prognosis in Colorectal Cancer
title_short	Molecular Subclassification Based on Crosstalk Analysis Improves Prediction of Prognosis in Colorectal Cancer
title_full	Molecular Subclassification Based on Crosstalk Analysis Improves Prediction of Prognosis in Colorectal Cancer
title_fullStr	Molecular Subclassification Based on Crosstalk Analysis Improves Prediction of Prognosis in Colorectal Cancer
title_full_unstemmed	Molecular Subclassification Based on Crosstalk Analysis Improves Prediction of Prognosis in Colorectal Cancer
title_sort	molecular subclassification based on crosstalk analysis improves prediction of prognosis in colorectal cancer
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/60f26ba182e84b7fb62d9281fd1a5b04
work_keys_str_mv	AT xiaohualiu molecularsubclassificationbasedoncrosstalkanalysisimprovespredictionofprognosisincolorectalcancer AT lilisu molecularsubclassificationbasedoncrosstalkanalysisimprovespredictionofprognosisincolorectalcancer AT jingcongli molecularsubclassificationbasedoncrosstalkanalysisimprovespredictionofprognosisincolorectalcancer AT guopingou molecularsubclassificationbasedoncrosstalkanalysisimprovespredictionofprognosisincolorectalcancer
_version_	1718444962372124672

Molecular Subclassification Based on Crosstalk Analysis Improves Prediction of Prognosis in Colorectal Cancer

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