Identification and Validation of a Novel Inflammatory Response-Related Gene Signature for the Prognosis of Colon Cancer

Yichao Liang, Xin Wu, Qi Su, Yujie Liu, Hong Xiao Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, People’s Republic of ChinaCorrespondence: Xin WuDepartment of General Surgery, Shengjing Hospital of China Medical University, Shenyang, People’s Republic of Chi...

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Autores principales:	Liang Y, Wu X, Su Q, Liu Y, Xiao H
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2021
Materias:	colon cancer prognosis inflammation Pathology RB1-214 Therapeutics. Pharmacology RM1-950
Acceso en línea:	https://doaj.org/article/f7393baf7e9f4a5a9e1af3c035f76420
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spelling	oai:doaj.org-article:f7393baf7e9f4a5a9e1af3c035f764202021-12-02T17:08:00ZIdentification and Validation of a Novel Inflammatory Response-Related Gene Signature for the Prognosis of Colon Cancer1178-7031https://doaj.org/article/f7393baf7e9f4a5a9e1af3c035f764202021-08-01T00:00:00Zhttps://www.dovepress.com/identification-and-validation-of-a-novel-inflammatory-response-related-peer-reviewed-fulltext-article-JIRhttps://doaj.org/toc/1178-7031Yichao Liang, Xin Wu, Qi Su, Yujie Liu, Hong Xiao Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, People’s Republic of ChinaCorrespondence: Xin WuDepartment of General Surgery, Shengjing Hospital of China Medical University, Shenyang, People’s Republic of ChinaEmail wux5@sj-hospital.orgPurpose: The inflammatory response plays a crucial role in the occurrence and development of colon cancer. In this study, we aimed to explore a novel prognostic model for patients with colon cancer (COAD) based on inflammatory response-related genes.Methods: Inflammatory response-related genes were obtained from Molecular Signatures database. Univariate and multivariate Cox regression analyses were used for model construction based on TCGA dataset. GSE39582 dataset and qRT-PCR dataset were used for validation. Gene set variation analysis and gene set enrichment analysis were performed to explore the potential regulatory pathways. The immune cell infiltration level was analyzed via CIBERSORT. Immunohistochemistry analysis and experiments were used to explore the function of genes in model.Results: In this study, a novel prognostic signature was identified using stepwise Cox proportional hazards regression analysis based on TCGA dataset. The results were subsequently validated in 562 patients from GSE39582 and a qRT-PCR data set from 70 tumor samples. Functional analysis indicated that the tumor microenvironment and immune cell infiltrate were different between high- and low-risk groups. Additionally, IHC results showed that the protein levels of prognostic genes were significantly different between COAD tissues and adjacent non-tumorous tissues, and prognostic genes could regulate the malignant phenotype of COAD cells.Conclusion: Overall, the inflammation-related gene signature can be used for prognostic prediction in patients with COAD.Keywords: colon cancer, prognosis, inflammationLiang YWu XSu QLiu YXiao HDove Medical Pressarticlecolon cancerprognosisinflammationPathologyRB1-214Therapeutics. PharmacologyRM1-950ENJournal of Inflammation Research, Vol Volume 14, Pp 3809-3821 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	colon cancer prognosis inflammation Pathology RB1-214 Therapeutics. Pharmacology RM1-950
spellingShingle	colon cancer prognosis inflammation Pathology RB1-214 Therapeutics. Pharmacology RM1-950 Liang Y Wu X Su Q Liu Y Xiao H Identification and Validation of a Novel Inflammatory Response-Related Gene Signature for the Prognosis of Colon Cancer
description	Yichao Liang, Xin Wu, Qi Su, Yujie Liu, Hong Xiao Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, People’s Republic of ChinaCorrespondence: Xin WuDepartment of General Surgery, Shengjing Hospital of China Medical University, Shenyang, People’s Republic of ChinaEmail wux5@sj-hospital.orgPurpose: The inflammatory response plays a crucial role in the occurrence and development of colon cancer. In this study, we aimed to explore a novel prognostic model for patients with colon cancer (COAD) based on inflammatory response-related genes.Methods: Inflammatory response-related genes were obtained from Molecular Signatures database. Univariate and multivariate Cox regression analyses were used for model construction based on TCGA dataset. GSE39582 dataset and qRT-PCR dataset were used for validation. Gene set variation analysis and gene set enrichment analysis were performed to explore the potential regulatory pathways. The immune cell infiltration level was analyzed via CIBERSORT. Immunohistochemistry analysis and experiments were used to explore the function of genes in model.Results: In this study, a novel prognostic signature was identified using stepwise Cox proportional hazards regression analysis based on TCGA dataset. The results were subsequently validated in 562 patients from GSE39582 and a qRT-PCR data set from 70 tumor samples. Functional analysis indicated that the tumor microenvironment and immune cell infiltrate were different between high- and low-risk groups. Additionally, IHC results showed that the protein levels of prognostic genes were significantly different between COAD tissues and adjacent non-tumorous tissues, and prognostic genes could regulate the malignant phenotype of COAD cells.Conclusion: Overall, the inflammation-related gene signature can be used for prognostic prediction in patients with COAD.Keywords: colon cancer, prognosis, inflammation
format	article
author	Liang Y Wu X Su Q Liu Y Xiao H
author_facet	Liang Y Wu X Su Q Liu Y Xiao H
author_sort	Liang Y
title	Identification and Validation of a Novel Inflammatory Response-Related Gene Signature for the Prognosis of Colon Cancer
title_short	Identification and Validation of a Novel Inflammatory Response-Related Gene Signature for the Prognosis of Colon Cancer
title_full	Identification and Validation of a Novel Inflammatory Response-Related Gene Signature for the Prognosis of Colon Cancer
title_fullStr	Identification and Validation of a Novel Inflammatory Response-Related Gene Signature for the Prognosis of Colon Cancer
title_full_unstemmed	Identification and Validation of a Novel Inflammatory Response-Related Gene Signature for the Prognosis of Colon Cancer
title_sort	identification and validation of a novel inflammatory response-related gene signature for the prognosis of colon cancer
publisher	Dove Medical Press
publishDate	2021
url	https://doaj.org/article/f7393baf7e9f4a5a9e1af3c035f76420
work_keys_str_mv	AT liangy identificationandvalidationofanovelinflammatoryresponserelatedgenesignaturefortheprognosisofcoloncancer AT wux identificationandvalidationofanovelinflammatoryresponserelatedgenesignaturefortheprognosisofcoloncancer AT suq identificationandvalidationofanovelinflammatoryresponserelatedgenesignaturefortheprognosisofcoloncancer AT liuy identificationandvalidationofanovelinflammatoryresponserelatedgenesignaturefortheprognosisofcoloncancer AT xiaoh identificationandvalidationofanovelinflammatoryresponserelatedgenesignaturefortheprognosisofcoloncancer
_version_	1718381592918884352

Identification and Validation of a Novel Inflammatory Response-Related Gene Signature for the Prognosis of Colon Cancer

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