Prognostic Value of an Immune Long Non-Coding RNA Signature in Liver Hepatocellular Carcinoma
- Rui Kong 1, Nan Wang 2, Chun Li Zhou 1, Jie Lu 3,2
- Rui Kong 1, Nan Wang 2, Chun Li Zhou 1
- 1Department of Gastroenterology, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, P.R. China.
- 2Department of Gastroenterology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, P.R. China.
- 3Department of Gastroenterology, Pu Dong Area Gongli Hospital, School of Medicine, Shanghai University, Shanghai 200135, P.R. China.
- 0Department of Gastroenterology, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, P.R. China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study identifies a six-long non-coding RNA (lncRNA) signature for predicting hepatocellular carcinoma (LIHC) prognosis. This immune-related lncRNA profile offers potential for accurate diagnosis and treatment strategies in LIHC patients.
Area Of Science
- Oncology
- Immunology
- Molecular Biology
Background
- Long non-coding RNAs (lncRNAs) are increasingly recognized for their roles in hepatocellular carcinoma (LIHC) immunity.
- Certain lncRNAs show promise for LIHC diagnosis and treatment.
Purpose Of The Study
- To develop an immune lncRNA profile for assessing the diagnostic and prognostic significance of immune-associated lncRNAs in LIHC.
- To identify a robust signature for predicting LIHC patient outcomes.
Main Methods
- Screened TCGA LIHC gene expression data for immune-related genes.
- Constructed an immune lncRNA signature using correlation and Cox regression analyses.
- Evaluated prognostic capability via Kaplan-Meier, ROC, clinical, GSEA, and PCA analyses.
Main Results
- Identified a six-lncRNA signature associated with immune genes.
- Classified LIHC samples into distinct risk groups with significant survival differences.
- Demonstrated the signature's independent prognostic value and predictive performance.
Conclusions
- The developed six-lncRNA signature serves as a potential independent predictor for LIHC prognosis.
- This signature may aid in improving diagnostic accuracy and guiding treatment strategies for LIHC.
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