ArticleFrontiers in cell and developmental biology2025
The predictive value of necroptosis-related lncRNAs in prostate cancer prognosis and their potential to distinguish between cold and hot tumors.
Article in Frontiers in cell and developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Prostate cancer (PCa) is frequently associated with poor prognosis, and immunotherapy has shown limited efficacy. This study aimed to identify novel necroptosis-related long non-coding RNAs (lncRNAs) that could predict patient outcomes and guide personalized treatment. Methods: Transcriptomic data from The Cancer Genome Atlas (TCGA) were analyzed using co-expression analysis and univariate Cox regression to identify lncRNAs associated with PCa progression. A necroptosis-related lncRNA prognostic model was constructed using Least Absolute Shrinkage and Selection Operator (LASSO) and validated via Kaplan-Meier survival analysis, time-dependent receiver operating characteristic (ROC) curves, Cox regression, and calibration plots. Functional analyses included Gene set enrichment analysis (GSEA), principal component analysis (PCA), immune profiling, and half-maximal inhibitory concentration (IC50) predictions to explore therapeutic implications. Results: We established a nine-lncRNA necroptosis-related signature with strong prognostic performance. Among these, NR2F1-AS1 was identified as a core oncogenic lncRNA, showing marked upregulation in PCa tissues and promoting proliferation, invasion, and migration Conclusion: Necroptosis-related lncRNAs, particularly NR2F1-AS1, may serve as prognostic biomarkers and inform immune-based stratification, supporting more precise personalized treatment strategies for PCa.
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