An immune cell infiltration-related gene signature predicts prognosis for bladder cancer
Abstract
To explore novel therapeutic targets, develop a gene signature and construct a prognostic nomogram of bladder cancer (BCa). Transcriptome data and clinical traits of BCa were downloaded from UCSC Xena database and Gene Expression Omnibus (GEO) database. We then used the method of Single sample Gene Set Enrichment analysis (ssGSEA) to calculate the infiltration abundances of 24 immune cells in eligible BCa samples. By weighted correlation network...
Paper Details
Title
An immune cell infiltration-related gene signature predicts prognosis for bladder cancer
Published Date
Aug 17, 2021
Journal
Volume
11
Issue
1
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