Kidney Cancer Biomarker Selection Using Regularized Survival Models.

ABSTRACT: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of RCC showing a significant percentage of mortality. One of the priorities of kidney cancer research is to identify RCC-specific biomarkers for early detection and screening of the disease. With the development of high-throughput technology, it is now possible to measure the expression levels of thousands of genes in parallel and assess the molecular profile of individual tumors. Studying the relationship between gene expression and survival outcome has been widely used to find genes associated with cancer survival, providing new information for clinical decision-making. One of the challenges of using transcriptomics data is their high dimensionality which can lead to instability in the selection of gene signatures. Here w

SUBMITTER: Peixoto C 

PROVIDER: S-EPMC9367278 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature