SurvMicro

SurvMicro analyzes prognostic microRNA (miRNA) signatures in cancer by integrating publicly available high-throughput miRNA profiles and applying multivariate survival analysis across multiple cohorts.

Key Features:

• Multivariate Survival Analysis: Implements multivariate survival analysis techniques to assess associations between miRNA signatures and clinical outcomes.
• Extensive Cohort Database: Includes data from over 40 cohorts spanning multiple tissues to enable cross-cohort evaluation.
• Public High‑throughput miRNA Integration: Integrates publicly available high-throughput miRNA profiles as input for signature assessment.
• Cross‑cohort Validation: Supports validation and refinement of miRNA signatures across independent cohorts.
• Demonstrated Cancer Contexts: Applied in analyses involving liver and lung cancer datasets.

Scientific Applications:

• Biomarker Discovery: Identification of miRNA-based biomarkers predictive of cancer clinical outcomes.
• Preclinical Evaluation: Preliminary assessment of prognostic miRNA signatures prior to clinical validation.
• Signature Refinement: Cross-cohort validation and refinement of candidate prognostic miRNA signatures.

Methodology:

Integration of public miRNA profiles combined with multivariate survival analysis techniques to evaluate and validate miRNA signatures across independent cohorts.