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Inflammatory genes are novel prognostic biomarkers for colorectal cancer

Inflammatory genes serve a crucial role in the pathogenesis of inflammation-associated tumors. However, as recent studies have mainly focused on the effects of single inflammatory genes on colorectal cancer (CRC), but not on the global interactions between genes, the underlying mechanisms between in...

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Autores principales: Jiang, Hao, Dong, Li, Gong, Fangyan, Gu, Yuping, Zhang, Henghun, Fan, Dong, Sun, Zhiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5979867/
https://www.ncbi.nlm.nih.gov/pubmed/29693170
http://dx.doi.org/10.3892/ijmm.2018.3631
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author Jiang, Hao
Dong, Li
Gong, Fangyan
Gu, Yuping
Zhang, Henghun
Fan, Dong
Sun, Zhiguo
author_facet Jiang, Hao
Dong, Li
Gong, Fangyan
Gu, Yuping
Zhang, Henghun
Fan, Dong
Sun, Zhiguo
author_sort Jiang, Hao
collection PubMed
description Inflammatory genes serve a crucial role in the pathogenesis of inflammation-associated tumors. However, as recent studies have mainly focused on the effects of single inflammatory genes on colorectal cancer (CRC), but not on the global interactions between genes, the underlying mechanisms between inflammatory genes and CRC remain unclear. In the current study, two inflammation-associated networks were constructed based on inflammatory genes, differentially expressed genes (DEGs) in CRC vs. normal samples, and protein-protein interactions (PPIs). These networks included an inflammation-related neighbor network (IRNN) and an inflammation-related DEG network (IRDN). Notably, the results indicated that the inflammatory genes served as important CRC-associated genes in the IRNN. Certain inflammatory genes were more likely to be network hubs and exhibited higher betweenness centralities, indicating that these inflammatory hub genes had central roles in the communication between genes in the IRNN. By contrast, in the IRDN, functional enrichment analysis revealed that genes were enriched in numerous cancer-associated functions and pathways. Subsequently, 14 genes in a module were identified in the IRDN as the potential biomarkers associated with disease-free survival (DFS) in CRC patients in the GSE24550 dataset, the prognosis of which was further validated using three independent datasets (GSE24549, GSE34551 and GSE103479). All 14 genes (including BCAR1, CRK, FYN, GRB2, LCP2, PIK3R1, PLCG1, PTK2, PTPN11, PTPN6, SHC1, SOS1, SRC and SYK) in this module were inflammatory genes, emphasizing the critical role of inflammation in CRC. In conclusion, these findings based on integrated inflammation-associated networks provided a novel insight that may help elucidate the inflammation-mediated mechanisms involved in CRC.
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spelling pubmed-59798672018-06-01 Inflammatory genes are novel prognostic biomarkers for colorectal cancer Jiang, Hao Dong, Li Gong, Fangyan Gu, Yuping Zhang, Henghun Fan, Dong Sun, Zhiguo Int J Mol Med Articles Inflammatory genes serve a crucial role in the pathogenesis of inflammation-associated tumors. However, as recent studies have mainly focused on the effects of single inflammatory genes on colorectal cancer (CRC), but not on the global interactions between genes, the underlying mechanisms between inflammatory genes and CRC remain unclear. In the current study, two inflammation-associated networks were constructed based on inflammatory genes, differentially expressed genes (DEGs) in CRC vs. normal samples, and protein-protein interactions (PPIs). These networks included an inflammation-related neighbor network (IRNN) and an inflammation-related DEG network (IRDN). Notably, the results indicated that the inflammatory genes served as important CRC-associated genes in the IRNN. Certain inflammatory genes were more likely to be network hubs and exhibited higher betweenness centralities, indicating that these inflammatory hub genes had central roles in the communication between genes in the IRNN. By contrast, in the IRDN, functional enrichment analysis revealed that genes were enriched in numerous cancer-associated functions and pathways. Subsequently, 14 genes in a module were identified in the IRDN as the potential biomarkers associated with disease-free survival (DFS) in CRC patients in the GSE24550 dataset, the prognosis of which was further validated using three independent datasets (GSE24549, GSE34551 and GSE103479). All 14 genes (including BCAR1, CRK, FYN, GRB2, LCP2, PIK3R1, PLCG1, PTK2, PTPN11, PTPN6, SHC1, SOS1, SRC and SYK) in this module were inflammatory genes, emphasizing the critical role of inflammation in CRC. In conclusion, these findings based on integrated inflammation-associated networks provided a novel insight that may help elucidate the inflammation-mediated mechanisms involved in CRC. D.A. Spandidos 2018-07 2018-04-18 /pmc/articles/PMC5979867/ /pubmed/29693170 http://dx.doi.org/10.3892/ijmm.2018.3631 Text en Copyright: © Jiang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Jiang, Hao
Dong, Li
Gong, Fangyan
Gu, Yuping
Zhang, Henghun
Fan, Dong
Sun, Zhiguo
Inflammatory genes are novel prognostic biomarkers for colorectal cancer
title Inflammatory genes are novel prognostic biomarkers for colorectal cancer
title_full Inflammatory genes are novel prognostic biomarkers for colorectal cancer
title_fullStr Inflammatory genes are novel prognostic biomarkers for colorectal cancer
title_full_unstemmed Inflammatory genes are novel prognostic biomarkers for colorectal cancer
title_short Inflammatory genes are novel prognostic biomarkers for colorectal cancer
title_sort inflammatory genes are novel prognostic biomarkers for colorectal cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5979867/
https://www.ncbi.nlm.nih.gov/pubmed/29693170
http://dx.doi.org/10.3892/ijmm.2018.3631
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