Experimental and computational modeling for signature and biomarker discovery of renal cell carcinoma progression.

ABSTRACT:

Background

Renal Cell Carcinoma (RCC) is difficult to treat with 5-year survival rate of 10% in metastatic patients. Main reasons of therapy failure are lack of validated biomarkers and scarce knowledge of the biological processes occurring during RCC progression. Thus, the investigation of mechanisms regulating RCC progression is fundamental to improve RCC therapy.

Methods

In order to identify molecular markers and gene processes involved in the steps of RCC progression, we generated several cell lines of higher aggressiveness by serially passaging mouse renal cancer RENCA cells in mice and, concomitantly, performed functional genomics analysis of the cells. Multiple cell lines depicting the major steps of tumor progression (including primary tumor growth, survival in the b

SUBMITTER: Cooley LS 

PROVIDER: S-EPMC8527701 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature