Development of a novel, clinically relevant anoikis-related gene signature to forecast prognosis in patients with prostate cancer

Frontiers in Genetics

Genetics

Xiaolin Liu¹  Kunming Wang² 

[1] Department of Urology, Sunshine Union Hospital, Weifang, Shandong, China;null;

关键词: prostate cancer;    anoikis;    tumor microenvironment;    gene signature;    prognosis;   

DOI  :  10.3389/fgene.2023.1166668

 received in 2023-02-15, accepted in 2023-08-14,  发布年份 2023

来源: Frontiers

【 摘 要 】

Introduction: Anoikis is a specific form of programmed cell death and is related to prostate cancer (PC) metastasis. This study aimed to develop a reliable anoikis-related gene signature to accurately forecast PC prognosis.Methods: Based on anoikis-related genes and The Cancer Genome Atlas (TCGA) data, anoikis-related molecular subtypes were identified, and their differences in disease-free survival (DFS), stemness, clinical features, and immune infiltration patterns were compared. Differential expression analysis of the two subtypes and weighted gene co-expression network analysis (WGCNA) were employed to identify clinically relevant anoikis-related differentially expressed genes (DEGs) between subtypes, which were then selected to construct a prognostic signature. The clinical utility of the signature was verified using the validation datasets GSE116918 and GSE46602. A nomogram was established to predict patient survival. Finally, differentially enriched hallmark gene sets were revealed between the different risk groups.Results: Two anoikis-related molecular subtypes were identified, and cluster 1 had poor prognosis, higher stemness, advanced clinical features, and differential immune cell infiltration. Next, 13 clinically relevant anoikis-related DEGs were identified, and five of them (CKS2, CDC20, FMOD, CD38, and MSMB) were selected to build a prognostic signature. This gene signature had a high prognostic value. A nomogram that combined Gleason score, T stage, and risk score could accurately predict patient survival. Furthermore, gene sets closely related with DNA repair were differentially expressed in the different risk groups.Conclusion: A novel, clinically relevant five-anoikis-related gene signature was a powerful prognostic biomarker for PC.

【 授权许可】

Unknown   
Copyright © 2023 Liu and Wang.