Research Paper Volume 16, Issue 2 pp 1249—1275

Disulfidptosis status influences prognosis and therapeutic response in clear cell renal cell carcinoma

Weiming Deng1, , Zhenwei Xie2, , Libo Chen1, , Wenjin Li3, , Mingyong Li1, ,

  • 1 Department of Urology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
  • 2 Department of Kidney Transplantation, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
  • 3 Department of Endocrinology, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China

Received: July 20, 2023       Accepted: November 21, 2023       Published: January 24, 2024      

https://doi.org/10.18632/aging.205405
How to Cite

Copyright: © 2024 Deng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Disulfidptosis is a recently identified type of programmed cell death. It is characterized by aberrant accumulation of intracellular disulfides. The clinical implications of disulfidptosis in clear cell renal cell carcinoma (ccRCC) remain unclear. A series of bioinformatics approaches were employed to analyze ten disulfidptosis-related molecules. Firstly, the expression patterns of the disulfidptosis-related molecules were different between normal and ccRCC tissues. A comprehensive cohort of patients with ccRCC was then assembled from three public databases and subjected to cluster analysis based on disulfidptosis-related molecules. Consensus cluster analysis revealed three distinct disulfidptosis clusters. We then conducted weighted gene co-expression network analysis (WGCNA) to identify highly correlated genes. 267 hub genes were screened out through WGCNA, and three gene clusters were then determined. Finally, we identified 87 genes with prognostic value and then used them to develop a disulfidptosis scoring (DSscore) system, which was proven to independently predict survival in ccRCC. Patients in the high-DSscore group exhibited a significant survival advantage and better immunotherapeutic responses compared with those in the low-DSscore group. However, the patients in the low-DSscore group exhibited a greater degree of chemotherapeutic response. In addition, the expression of disulfidptosis-related molecules was validated by qRT-PCR, and the potential of disulfidptosis-related molecules to indicate distinct cell subtypes were validated by single-cell RNA-sequencing. In conclusion, DSscore is a promising index for predicting the prognosis and efficacy of immunotherapy in patients with ccRCC and may provide a basis for novel strategies for future studies.

Abbreviations

ccRCC: Clear cell renal cell carcinoma; CNV: Copy number variations; DEG: Differentially expressed gene; DSscore: Disulfidptosis scoring; GEO: Gene Expression Omnibus; GO: Gene Ontology; KEGG: Kyoto Encyclopedia of Genes and Genomes; IC50: Semi-inhibitory concentration; ICGC: The International Cancer Genome Consortium; OS: Overall survival; PCA: Principal component analysis; PD-1: Programmed death receptor-1; PD-L1: Programmed death ligand 1; RCC: Renal cell carcinoma; scRNA-seq: Single-cell RNA sequencing; ssGSEA: Single-sample gene set enrichment analysis; TCGA: The Cancer Genome Atlas; TIICs: Tumor-infiltrating immune cells; TMB: Tumor mutational burden; TME: Tumor microenvironment; WGCNA: Weighted gene co-expression network analysis.