A comprehensive review of cancer survival prediction using multi-omics integration and clinical variables.

ABSTRACT: Cancer is an umbrella term that includes a wide spectrum of disease severity, from those that are malignant, metastatic, and aggressive to benign lesions with very low potential for progression or death. The ability to prognosticate patient outcomes would facilitate management of various malignancies: patients whose cancer is likely to advance quickly would receive necessary treatment that is commensurate with the predicted biology of the disease. Former prognostic models based on clinical variables (age, gender, cancer stage, tumor grade, etc.), though helpful, cannot account for genetic differences, molecular etiology, tumor heterogeneity, and important host biological mechanisms. Therefore, recent prognostic models have shifted toward the integration of complementary information availab

SUBMITTER: Tran D 

PROVIDER: S-EPMC11994034 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature