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Zhongzheng Ma

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Open access Jul 2026

Establishment and validation of RNA methylation-related lncRNAs signature that predicts prognosis and potential targeted therapy in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a lethal malignancy with limited prognostic biomarkers. This study aimed to develop an RNA methylation-related long non-coding RNA (lncRNA) signature to predict survival and guide therapy in HCC. Transcriptomic and clinical data from 374 HCC tissues (TCGA) were analyzed. RNA methylation-related lncRNAs were identified (Pearson correlation, |cor|> 0.4, p < 0.001). A prognostic signature was constructed using univariate Cox and LASSO regression. Patients were stratified into high-/low-risk groups, validated for survival, immune infiltration, and drug response. A robust three-lncRNA signature (SNHG30, AL049840.5, NRAV) was established. High-risk patients showed significantly worse overall survival (p < 0.001) and progression-free survival (p < 0.001) compared to low-risk patients. The risk score emerged as an independent prognostic factor (multivariate Cox, p < 0.001) with strong predictive accuracy (1-/3-/5-year AUCs: 0.717/0.686/0.682). Functional analysis revealed distinct biological pathways between risk groups, with high-risk tumors associated with cell cycle dysregulation and immune suppression (higher TIDE scores), while low-risk tumors exhibited metabolic pathway activation. Drug sensitivity analysis suggested differential responses to chemotherapy and targeted therapies between risk groups. Our study developed and validated a clinically applicable RNA methylation-related lncRNAs signature that effectively predicts HCC prognosis and therapeutic response. This signature provides valuable insights for risk stratification and may guide personalized treatment decisions in HCC management.

Yunchuan Yang, Xiang Ma, Chi Zhou et al. · 0 citations