Development and verification of a nomogram for prediction of recurrence-free survival in clear cell renal cell carcinoma.

ABSTRACT: Nowadays, gene expression profiling has been widely used in screening out prognostic biomarkers in numerous kinds of carcinoma. Our studies attempt to construct a clinical nomogram which combines risk gene signature and clinical features for individual recurrent risk assessment and offer personalized managements for clear cell renal cell carcinoma. A total of 580 differentially expressed genes (DEGs) were identified via microarray. Functional analysis revealed that DEGs are of fundamental importance in ccRCC progression and metastasis. In our study, 338 ccRCC patients were retrospectively analysed and a risk gene signature which composed of 5 genes was obtained from a LASSO Cox regression model. Further analysis revealed that identified risk gene signature could usefully distinguish the pa

SUBMITTER: Chen Y 

PROVIDER: S-EPMC6991630 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature