Colorectal Cancer Cohort Statistical Analysis
Overview #
Statistical analysis of gene expression and clinical outcome data from a colorectal cancer patient cohort to evaluate associations between hepsin (HPN) expression and clinicopathological features, including survival and thrombotic events.
Problem #
Clinical and molecular cohort studies generate heterogeneous datasets combining categorical variables, continuous measurements and time-to-event outcomes. Robust statistical frameworks are required to properly assess associations, account for censored data and control for confounding variables in survival and competing-risk analyses.
Solution #
Performed comprehensive statistical analysis of clinical and molecular data using R. Evaluated associations between HPN expression and clinicopathological variables using appropriate statistical tests for discrete and continuous data. Applied survival analysis methods, including Kaplan-Meier estimation, Cox proportional hazards models and competing-risk frameworks (Fine & Gray models) to assess prognostic significance.
Stack #
R · Survival analysis · Cox regression · Kaplan-Meier · Competing risk models (Fine & Gray, Aalen-Johansen) · Statistical inference · Linux
Impact #
- Assessed the prognostic value of HPN expression in colorectal cancer patients.
- Integrated molecular and clinical variables for survival and risk modeling.
- Applied advanced survival and competing-risk statistical frameworks to clinical cohort data.
- Contributed to peer-reviewed research in oncology and translational medicine.
Related Publications #
Zaragoza-Huesca, D., Nieto-Olivares, A., García-Molina, F., Ricote, G., Montenegro, S., Sánchez-Cánovas, M., Garrido-Rodríguez, P., Peñas-Martínez, J., Vicente, V., Martínez, F., Lozano, M. L., Carmona-Bayonas, A., & Martínez-Martínez, I. (2022). Implication of Hepsin from Primary Tumor in the Prognosis of Colorectal Cancer Patients. Cancers, 14(13), 3106.