Cancer Research

Head: Balázs Győrffy, MD, PhD

Purpose

The Cancer Research & Precision Oncology Program advances data-driven oncology focused on survival prediction, biomarker discovery, and translational strategies that improve treatment outcomes in aging populations. The program integrates large-scale multi-omics analysis with clinical oncology and population data to identify actionable targets and optimize precision medicine frameworks.

Why it matters

• Cancer survival increasingly depends on molecular stratification and early detection.

• Aging populations require oncology models that integrate biological heterogeneity with real-world outcomes.

• Translational biomarker discovery is essential for personalized therapy and prevention strategies.

What we do

• Large-scale transcriptomic and multi-omics platforms for tumor profiling

• Survival modeling using international clinical and genomic datasets

• AI-enabled biomarker discovery and validation pipelines

• Identification of prognostic and predictive molecular signatures

• Precision oncology frameworks for therapy stratification

• Integration of molecular data with population-level cancer epidemiology

• Translational research linking tumor biology with aging processes

• Development of reproducible analytic pipelines for clinical oncology

• Cross-consortium data harmonization and meta-analysis

• Collaboration with clinical oncology networks and biobanks

Key outputs

• Clinically validated prognostic biomarkers

• Survival prediction models

• Translational oncology datasets

• Contributions to international precision oncology consortia

• Evidence frameworks supporting personalized cancer care