A novel integrative machine learning-based prognostic model reveals lactylation regulation in hepatocellular carcinoma progression - PubMed
3 months ago
- #Machine learning
- #Lactylation
- #Hepatocellular carcinoma
- A novel integrative machine learning-based prognostic model, MRLI, was developed for hepatocellular carcinoma (HCC).
- MRLI predicts prognosis and therapeutic outcomes, showing robust predictive capability compared to existing gene signatures.
- Lactylation plays a vital role in metabolic reprogramming and HCC progression, influencing tumor malignancy and immune microenvironment.
- Single-cell and spatial transcriptomics analysis revealed MRLI's association with cellular proliferation and metabolic reprogramming.
- High MRLI correlates with a tumor immunosuppressive microenvironment and decreased sensitivity to treatments like sorafenib and immune checkpoint inhibitors.
- The study suggests lactylation as a potential clinical therapeutic target in HCC.