<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>13</volume><submitter>Liu Y</submitter><funding>National Natural Science Foundation of China</funding><pubmed_abstract>&lt;h4>Background&lt;/h4>The ability of cancer-associated fibroblasts (CAFs) to encourage angiogenesis, tumor cell spread, and increase treatment resistance makes them pro-tumorigenic. We aimed to investigate the CAF signature in Bladder urothelial carcinoma (BLCA) and, for clinical application, to build a CAF-based risk signature to decipher the immune landscape and screen for suitable treatment BLCA samples.&lt;h4>Methods&lt;/h4>CAF-related genes were discovered by superimposing CAF marker genes discovered from single-cell RNA-seq (scRNA-seq) data taken from the GEO database with CAF module genes discovered by weighted gene co-expression network analysis (WGCNA) using bulk RNA-seq data from TCGA. After identifying prognostic genes related with CAF using univariate Cox regression, Lasso regression wa</pubmed_abstract><journal>Frontiers in oncology</journal><pagination>1170893</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10140328</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Construction of cancer- associated fibroblasts related risk signature based on single-cell RNA-seq and bulk RNA-seq data in bladder urothelial carcinoma.</pubmed_title><pmcid>PMC10140328</pmcid><pubmed_authors>Liu X</pubmed_authors><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Chen Z</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Jian J</pubmed_authors><pubmed_authors>Wang L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Construction of cancer- associated fibroblasts related risk signature based on single-cell RNA-seq and bulk RNA-seq data in bladder urothelial carcinoma.</name><description>&lt;h4>Background&lt;/h4>The ability of cancer-associated fibroblasts (CAFs) to encourage angiogenesis, tumor cell spread, and increase treatment resistance makes them pro-tumorigenic. We aimed to investigate the CAF signature in Bladder urothelial carcinoma (BLCA) and, for clinical application, to build a CAF-based risk signature to decipher the immune landscape and screen for suitable treatment BLCA samples.&lt;h4>Methods&lt;/h4>CAF-related genes were discovered by superimposing CAF marker genes discovered from single-cell RNA-seq (scRNA-seq) data taken from the GEO database with CAF module genes discovered by weighted gene co-expression network analysis (WGCNA) using bulk RNA-seq data from TCGA. After identifying prognostic genes related with CAF using univariate Cox regression, Lasso regression wa</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023</publication><modification>2026-04-08T13:33:32.814Z</modification><creation>2025-02-19T04:46:04.948Z</creation></dates><accession>S-EPMC10140328</accession><cross_references><pubmed>37124542</pubmed><doi>10.3389/fonc.2023.1170893</doi></cross_references></HashMap>