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JAM3 is a potential risk biomarker for predicting prognosis and immune cell infiltration by regulating epithelial–mesenchymal transition in bladder cancer

To identify novel biomarkers for predicting prognosis and immune function in bladder cancer (BC) patients, we combined weighted correlation network analysis (WGCNA) and least absolute shrinkage and selection operator (LASSO) regression analysis by using data from The Cancer Genome Atlas (TCGA) and...

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Hauptverfasser: Zhong-qi Pang, Jian-she Wang, Jin-feng Wang, Ya-xuan Wang, Bo Ji, Yi-dan Xu, Jia-xin He, Lu Zhang, Li-qiu Zhang, Bei-chen Ding, Yang Liu, Ming-hua Ren
Format: Artigo
Sprache:Inglês
Veröffentlicht: Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina 2024-02-01
Schriftenreihe:Biomolecules & Biomedicine
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Online-Zugang:https://www.bjbms.org/ojs/index.php/bjbms/article/view/9979
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