Lymphangiogenesis-related gene signature-based risk model for prognostic assessment of cervical cancer: immune-metabolic characterization and molecular subtype analysis.
- Open access
A six-gene lymphangiogenesis-related signature accurately predicts survival and reveals immune and molecular subtypes in cervical cancer.
- Why it matters: Understanding lymphangiogenesis's role in tumor spread and immune environment is crucial for improving prognostic tools and targeted therapies in cervical cancer.
- What they did: Researchers developed a prognostic model using transcriptomic data from the TCGA-CESC cohort and validated it with independent datasets, identifying two molecular subtypes through non-negative matrix factorization.
- The result: The model effectively stratifies patients by survival risk, correlates with immune infiltration and therapy response, and highlights potential upstream regulators, supporting personalized treatment strategies.