Genes associated with inflammation for prognosis prediction for clear cell renal cell carcinoma: a multi-database analysis.

ABSTRACT:

Background

Clear cell renal cell carcinoma (ccRCC) is the largest subtype of kidney tumour, with inflammatory responses characterising all stages of the tumour. Establishing the relationship between the genes related to inflammatory responses and ccRCC may help the diagnosis and treatment of patients with ccRCC.

Methods

First, we obtained the data for this study from a public database. After differential analysis and Cox regression analysis, we obtained the genes for the establishment of a prognostic model for ccRCC. As we used data from multiple databases, we standardized all the data using the surrogate variable analysis (SVA) package to make the data from different sources comparable. Next, we used a least absolute shrinkage and selection operator (LASSO) regression to co

SUBMITTER: Xiao Y 

PROVIDER: S-EPMC10643973 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature