OSuvm

OSuvm performs consensus survival analysis to assess the prognostic value of genes in uveal melanoma (UM), including implications for liver metastasis risk.


Key Features:

  • Prognostic assessment: Estimates prognostic values of specific genes in UM using survival statistics.
  • Survival metrics: Produces Kaplan-Meier survival plots and reports hazard ratios and log-rank test results.
  • Cohort integration: Integrates gene expression profiles and clinical follow-up from four independent cohorts comprising 229 patients to assess consistency across datasets.
  • Consensus analysis: Aggregates evidence across cohorts to identify genes with consistent prognostic associations.
  • Biomarker evaluation: Has been used to evaluate the prognostic roles of previously reported UM biomarkers.

Scientific Applications:

  • Prognostic biomarker discovery: Identification and validation of candidate molecular biomarkers associated with survival in uveal melanoma.
  • Risk stratification: Assessment of gene-level associations with patient survival and potential risk of liver metastases.
  • Cross-cohort validation: Comparative evaluation of prognostic signals across independent UM cohorts using gene expression and clinical follow-up data.

Methodology:

Performs Kaplan-Meier survival analysis with hazard ratio estimation and log-rank tests on integrated gene expression and clinical follow-up data from four independent cohorts totaling 229 patients.

Topics

Details

Tool Type:
web application
Added:
1/9/2020
Last Updated:
1/4/2021

Operations

Publications

Wang F, Wang Q, Li N, Ge L, Yang M, An Y, Zhang G, Dong H, Ji S, Zhu W, Guo X. OSuvm: An interactive online consensus survival tool for uveal melanoma prognosis analysis. Molecular Carcinogenesis. 2019;59(1):56-61. doi:10.1002/mc.23128. PMID:31646691.

PMID: 31646691
Funding: - National Natural Science Foundation of China: 81602362