Kidney renal clear cell carcinoma is a chemotherapy-resistant cancer and is in great need of personalized molecular therapy. The Cancer Genome Atlas (TCGA) has collected data of gene expressions, protein expressions and matched patients’ survival. We downloaded and preprocessed the data using TCGA-Assembler. The resulting dataset has 428 patients and 286 of them are censored (67% censoring rate). Our goal is to construct clinically-relevant protein biomarkers by integrating the genomic and clinical information, which may assist in developing genomically driven precision medicine.
We provide an interactive web application to interactively display the varying effects of prognostic proteins of several critical pathways in response to the user’s choice of the desired expressions of their respective encoding genes.