Generalizable transcriptome-based tumor malignant level evaluation and molecular subtyping towards precision oncology.

ABSTRACT: In cancer treatment, therapeutic strategies that integrate tumor-specific characteristics (i.e., precision oncology) are widely implemented to provide clinical benefits for cancer patients. Here, through in-depth integration of tumor transcriptome and patients' prognoses across cancers, we investigated dysregulated and prognosis-associated genes and catalogued such important genes in a cancer type-dependent manner. Utilizing the expression matrices of these genes, we built models to quantitatively evaluate the malignant levels of tumors across cancers, which could add value to the clinical staging system for improved prediction of patients' survival. Furthermore, we performed a transcriptome-based molecular subtyping on hepatocellular carcinoma, which revealed three subtypes with significa

SUBMITTER: Hu D 

PROVIDER: S-EPMC11134716 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature