AUTHOR=Jiang Yunzhong , Qu Xiaowei , Zhang Mengzhao , Zhang Lu , Yang Tao , Ma Minghai , Jing Minxuan , Zhang Nan , Song Rundong , Zhang Yuanquan , Yang Zezhong , Zhang Yaodong , Pu Yuanchun , Fan Jinhai 

TITLE=Identification of a six-gene prognostic signature for bladder cancer associated macrophage

JOURNAL=Frontiers in Immunology

VOLUME=13

YEAR=2022

URL=https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2022.930352

DOI=10.3389/fimmu.2022.930352

ISSN=1664-3224

ABSTRACT=<p>As major components of the tumor microenvironment (TME), tumor-associated macrophages (TAMs) play an exceedingly complicated role in tumor progression and tumorigenesis. However, few studies have reported the specific TAM gene signature in bladder cancer. Herein, this study focused on developing a TAM-related prognostic model in bladder cancer patients based on The Cancer Genome Atlas (TCGA) data. Weighted Gene Co-Expression Network Analysis (WGCNA) was used to identify key genes related to TAM (M2 macrophage). Gene ontology (GO) enrichment and the Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway analysis showed the functional categories of the key genes. Simultaneously, we used the Least Absolute Shrinkage and Selection Operator (LASSO) and univariate and multivariate Cox regressions to establish a TMA-related prognostic model containing six key genes: <italic>TBXAS1, GYPC, HPGDS, GAB3, ADORA3</italic>, and <italic>FOLR2</italic>. Subsequently, single-cell sequencing data downloaded from Gene Expression Omnibus (GEO) suggested that the six genes in the prognostic model were expressed in TAM specifically and may be involved in TAM polarization. In summary, our research uncovered six-TAM related genes that may have an effect on risk stratification in bladder cancer patients and could be regarded as potential TAM-related biomarkers.</p>