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A multi-programmed cell death-related LncRNA signature for prognosis and immune microenvironment evaluation in kidney
Shaochao Zhan1, Yuchen Li1, Zhaohui Guo1
1The Sixth People's Hospital of Huizhou, No. 2, Aimin East Road, Daxian Street, Huizhou, China.
Abstract:
Kidney renal clear cell carcinoma (KIRC) shows substantial prognostic heterogeneity, motivating robust transcriptome-based risk stratification. Ferroptosis, cuproptosis and disulfidptosis are distinct stress-related cell-death programs whose gene-expression patterns may capture diverse tumour states. Using TCGA-KIRC RNA-seq data (n=533), tumour samples were randomly split 1:1 into a training set (n=267) and an independent test set (n=266); In the training cohort, lncRNAs associated with curated genes for each programmed cell death (PCD) modality were screened using EPIC-adjusted partial Spearman correlations (-r->0.4, FDR<0.05) and differential expression versus adjacent normal tissues (p<0.05). The intersection across modalities yielded 176 multi-PCD-related lncRNAs. Univariate Cox analysis, LASSO-Cox regression and multivariate Cox modelling identified a six-lncRNA signature (AC026401.3, GAS5-AS1, SNHG8, AC084024.4, LINC02027 and AC115522.1) to compute a risk score. High-risk patients had significantly poorer overall and progression-free survival in both training and test cohorts, with stable time-dependent discrimination (AUCs 0.765/0.752/0.751 at 1/3/5 years in the full cohort). Computational analyses suggested risk-associated differences in immune contexture and predicted immune escape, and mutation profiling indicated higher VHL and PBRM1 alteration frequencies in the high-risk group. This signature supports prognostic stratification in KIRC and provides an association-based framework for further validation.