Metabolism-Related Prognostic Biomarkers, Purine Metabolism and Anti-Tumor Immunity in Colon Adenocarcinoma.

colon adenocarcinoma immune-metabolic checkpoints metabolic reprogramming purine metabolism

Journal

Frontiers in bioscience (Landmark edition)
ISSN: 2768-6698
Titre abrégé: Front Biosci (Landmark Ed)
Pays: Singapore
ID NLM: 101612996

Informations de publication

Date de publication:
01 Dec 2023
Historique:
received: 28 04 2023
revised: 18 07 2023
accepted: 16 08 2023
medline: 5 1 2024
pubmed: 5 1 2024
entrez: 5 1 2024
Statut: ppublish

Résumé

Metabolic reprogramming provides a new perspective for understanding cancer. The targeting of dysregulated metabolic pathways may help to reprogram the immune status of the tumor microenvironment (TME), thereby increasing the effectiveness of immune checkpoint therapy. Colorectal cancer (CRC), especially colon adenocarcinoma (COAD), is associated with poor patient survival. The aim of the present study was to identify novel pathways involved in the development and prognosis of COAD, and to explore whether these pathways could be used as targets to improve the efficacy of immunotherapy. Metabolism-related differentially expressed genes (MRDEGs) between tumor and normal tissues were identified using The Cancer Genome Atlas (TCGA) dataset, together with metabolism-related prognostic genes (MRPGs). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed separately for the MRDEGs and MRPGs. Gene Set Variation Analysis (GSVA) was also performed to explore the role of purine metabolism in COAD tumorigenesis. Consensus clustering of purine metabolism genes with the overall survival (OS) of patients and with anti-tumor immunity was also performed. Pearson correlation analysis was used to identify potential targets that correlated strongly with the expression of immune checkpoints. A 6-gene signature that had independent prognostic significance for COAD was identified, together with a predictive model for risk stratification and prognosis. The most significantly enriched pathway amongst MRDEGs and MRPGs was purine metabolism. Differentially expressed purine metabolism genes could divide patients into two clusters with distinct prognosis and anti-tumor immunity. Further analysis suggested that purine metabolism was involved in anti-tumor immunity. This study confirmed the importance of metabolism-related pathways and in particular purine metabolism in the tumorigenesis, prognosis and anti-tumor immunity of COAD. We identified a 6-gene prognostic signature comprised of

Sections du résumé

BACKGROUND BACKGROUND
Metabolic reprogramming provides a new perspective for understanding cancer. The targeting of dysregulated metabolic pathways may help to reprogram the immune status of the tumor microenvironment (TME), thereby increasing the effectiveness of immune checkpoint therapy. Colorectal cancer (CRC), especially colon adenocarcinoma (COAD), is associated with poor patient survival. The aim of the present study was to identify novel pathways involved in the development and prognosis of COAD, and to explore whether these pathways could be used as targets to improve the efficacy of immunotherapy.
METHODS METHODS
Metabolism-related differentially expressed genes (MRDEGs) between tumor and normal tissues were identified using The Cancer Genome Atlas (TCGA) dataset, together with metabolism-related prognostic genes (MRPGs). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed separately for the MRDEGs and MRPGs. Gene Set Variation Analysis (GSVA) was also performed to explore the role of purine metabolism in COAD tumorigenesis. Consensus clustering of purine metabolism genes with the overall survival (OS) of patients and with anti-tumor immunity was also performed. Pearson correlation analysis was used to identify potential targets that correlated strongly with the expression of immune checkpoints.
RESULTS RESULTS
A 6-gene signature that had independent prognostic significance for COAD was identified, together with a predictive model for risk stratification and prognosis. The most significantly enriched pathway amongst MRDEGs and MRPGs was purine metabolism. Differentially expressed purine metabolism genes could divide patients into two clusters with distinct prognosis and anti-tumor immunity. Further analysis suggested that purine metabolism was involved in anti-tumor immunity.
CONCLUSIONS CONCLUSIONS
This study confirmed the importance of metabolism-related pathways and in particular purine metabolism in the tumorigenesis, prognosis and anti-tumor immunity of COAD. We identified a 6-gene prognostic signature comprised of

Identifiants

pubmed: 38179743
pii: S2768-6701(23)01007-9
doi: 10.31083/j.fbl2812328
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

328

Subventions

Organisme : Natural Science Foundation of Sichuan Province
ID : 2023NSFSC1886
Organisme : Natural Science Foundation of Sichuan Province
ID : 2023NSFSC0739

Informations de copyright

© 2023 The Author(s). Published by IMR Press.

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

Auteurs

Hui Liu (H)

Institute of Biomedical Engineering, College of Medicine, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China.

Yuexin Zhang (Y)

Colorectal Cancer Center, Department of General Surgery, West China Tianfu Hospital, Sichuan University, 610041 Chengdu, Sichuan, China.

Quanzheng Zhang (Q)

Department of Critical Care Medicine, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, 610031 Chengdu, Sichuan, China.

Tongtong Zhang (T)

The Center of Gastrointestinal and Minimally Invasive Surgery, Department of General Surgery, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, 610031 Chengdu, Sichuan, China.
The Center of Obesity and Metabolism disease, Department of General surgery, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, 610031 Chengdu, Sichuan, China.
Medical Research Center, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, 610031 Chengdu, Sichuan, China.

Tianqi Lu (T)

The Center of Gastrointestinal and Minimally Invasive Surgery, Department of General Surgery, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, 610031 Chengdu, Sichuan, China.
The Center of Obesity and Metabolism disease, Department of General surgery, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, 610031 Chengdu, Sichuan, China.
Medical Research Center, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, 610031 Chengdu, Sichuan, China.

Classifications MeSH