Constructing a PANoptosis-based prognostic signature to evaluate the immune landscape and therapeutic response in clear cell renal cell carcinoma.

ABSTRACT:

Objective

To identify pyroptosis, apoptosis, and necroptosis (PANoptosis)-related genes (PRGs) in clear cell renal cell carcinoma (ccRCC) for patient stratification and prognosis prediction.

Methods

We used differential expression analysis and weighted gene co-expression network analysis (WGCNA) to identify ccRCC-specific PRGs. A prognostic model, the PANoptosis-index (PANI), was constructed using least absolute shrinkage and selection operator (LASSO) and Cox regression. The PANI model, comprising PRGs, was validated through single-cell RNA-sequencing (scRNA-seq), immunohistochemistry, and reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Patient cohorts were categorized into high- and low-PANI groups, and the model's performance was appraised using va

SUBMITTER: Dong Y 

PROVIDER: S-EPMC12768572 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature