A novel defined cuproptosis-related gene signature for predicting the prognosis of colon adenocarcinoma

The prognosis of colon adenocarcinoma (COAD) needs to be improved. Cuproptosis is a recently discovered cell death caused by intracellular overload of copper ions. There have been no reports about the cuproptosis-related prognostic model in COAD. First, we screened 30 differentially expressed genes...

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Main Authors: Bixian Luo, Jianwei Lin, Anqi Ni, Wei Cai, Xinbo Yu, Mingliang Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.927028/full
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author Bixian Luo
Jianwei Lin
Anqi Ni
Wei Cai
Xinbo Yu
Mingliang Wang
Mingliang Wang
author_facet Bixian Luo
Jianwei Lin
Anqi Ni
Wei Cai
Xinbo Yu
Mingliang Wang
Mingliang Wang
author_sort Bixian Luo
collection DOAJ
description The prognosis of colon adenocarcinoma (COAD) needs to be improved. Cuproptosis is a recently discovered cell death caused by intracellular overload of copper ions. There have been no reports about the cuproptosis-related prognostic model in COAD. First, we screened 30 differentially expressed genes (DEGs) from patients with COAD using The Cancer Genome Atlas (TCGA) database. Gene Expression Omnibus (GEO) database was used as a validation set to establish a risk model of five cuproptosis-related genes (CKDN2A, SDHB, CCS, ULK1, and CMC1) by least absolute shrinkage and selection operator (LASSO) Cox regression analysis. In both TCGA and GEO cohorts, we could see that overall survival of COAD patients of the low-risk group was longer. Combined with the clinical characteristics, the risk score was found to be an independent prognostic factor. Furthermore, single-sample Gene Set Enrichment Analysis (ssGSEA) showed that the levels of Th1 and Treg immune cells changed both in TCGA and GEO databases. Finally, clinical samples were used to verify the mRNA and protein levels of five risk-model genes. In conclusion, this model could predict the prognosis of COAD patients, and the mechanism may be related to the changes in immune cells in the tumor microenvironment (TME).
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spelling doaj.art-89fc1ee77f794202883b703f92a9d4442022-12-22T03:46:13ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-11-011210.3389/fonc.2022.927028927028A novel defined cuproptosis-related gene signature for predicting the prognosis of colon adenocarcinomaBixian Luo0Jianwei Lin1Anqi Ni2Wei Cai3Xinbo Yu4Mingliang Wang5Mingliang Wang6Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaKidney Disease Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Institute of Nephrology, Zhejiang University, Key Laboratory of Kidney Disease Prevention and Control Technology, Zhejiang Province, Zhejiang Clinical Research Center of Kidney and Urinary System Disease, Hangzhou, Zhejiang, ChinaDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of General Surgery, Ruijin Hospital Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaThe prognosis of colon adenocarcinoma (COAD) needs to be improved. Cuproptosis is a recently discovered cell death caused by intracellular overload of copper ions. There have been no reports about the cuproptosis-related prognostic model in COAD. First, we screened 30 differentially expressed genes (DEGs) from patients with COAD using The Cancer Genome Atlas (TCGA) database. Gene Expression Omnibus (GEO) database was used as a validation set to establish a risk model of five cuproptosis-related genes (CKDN2A, SDHB, CCS, ULK1, and CMC1) by least absolute shrinkage and selection operator (LASSO) Cox regression analysis. In both TCGA and GEO cohorts, we could see that overall survival of COAD patients of the low-risk group was longer. Combined with the clinical characteristics, the risk score was found to be an independent prognostic factor. Furthermore, single-sample Gene Set Enrichment Analysis (ssGSEA) showed that the levels of Th1 and Treg immune cells changed both in TCGA and GEO databases. Finally, clinical samples were used to verify the mRNA and protein levels of five risk-model genes. In conclusion, this model could predict the prognosis of COAD patients, and the mechanism may be related to the changes in immune cells in the tumor microenvironment (TME).https://www.frontiersin.org/articles/10.3389/fonc.2022.927028/fullcuproptosiscolon adenocarcinomarisk scoregene signaturenomogram
spellingShingle Bixian Luo
Jianwei Lin
Anqi Ni
Wei Cai
Xinbo Yu
Mingliang Wang
Mingliang Wang
A novel defined cuproptosis-related gene signature for predicting the prognosis of colon adenocarcinoma
Frontiers in Oncology
cuproptosis
colon adenocarcinoma
risk score
gene signature
nomogram
title A novel defined cuproptosis-related gene signature for predicting the prognosis of colon adenocarcinoma
title_full A novel defined cuproptosis-related gene signature for predicting the prognosis of colon adenocarcinoma
title_fullStr A novel defined cuproptosis-related gene signature for predicting the prognosis of colon adenocarcinoma
title_full_unstemmed A novel defined cuproptosis-related gene signature for predicting the prognosis of colon adenocarcinoma
title_short A novel defined cuproptosis-related gene signature for predicting the prognosis of colon adenocarcinoma
title_sort novel defined cuproptosis related gene signature for predicting the prognosis of colon adenocarcinoma
topic cuproptosis
colon adenocarcinoma
risk score
gene signature
nomogram
url https://www.frontiersin.org/articles/10.3389/fonc.2022.927028/full
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