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논문 기본 정보

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학술저널
저자정보
Ruize Qin (Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.) Xiaocheng Ma (Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.) Shi Pu (Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.) Chengquan Shen (Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.) Ding Hu (Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.) Changxue Liu (Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.) Kongjia Wang (Department of Urology, Qingdao Municipal Hospital, Qingdao, China.) Yonghua Wang (Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.)
저널정보
대한비뇨기과학회 Investigative and Clinical Urology Investigative and Clinical Urology Vol.65 No.3
발행연도
2024.5
수록면
263 - 278 (16page)
DOI
https://doi.org/10.4111/icu.20230300

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Purpose: Myofibroblastic cancer-associated fibroblasts (myCAFs) are important components of the tumor microenvironment closely associated with tumor stromal remodeling and immunosuppression. This study aimed to explore myCAFs marker gene biomarkers for clinical diagnosis and therapy for patients with bladder cancer (BC). Materials and Methods: BC single-cell RNA sequencing (scRNA-seq) data were obtained from the National Center for Biotechnology Information Sequence Read Archive. Transcriptome and clinical data were downloaded from The Cancer Genome Atlas and the Gene Expression Omnibus databases. Subsequently, univariate Cox and LASSO (Least Absolute Shrinkage and Selection Operator regression) regression analyses were performed to construct a prognostic signature. Immune cell activity was estimated using single-sample gene set enrichment analysis whilst the TIDE (tumor immune dysfunction and exclusion) method was employed to assess patient response to immunotherapy. The chemotherapy response of patients with BC was evaluated using genomics of drug sensitivity in cancer. Furthermore, Immunohistochemistry was used to verify the correlation between MAP1B expression and immunotherapy efficacy. The scRNA-seq data were analyzed to identify myCAFs marker genes. Results: Combined with bulk RNA-sequencing data, we constructed a two-gene (COL6A1 and MAP1B) risk signature. In patients with BC, the signature demonstrated outstanding prognostic value, immune infiltration, and immunotherapy response. This signature served as a crucial guide for the selection of anti-tumor chemotherapy medications. Additionally, immunohistochemistry confirmed that MAP1B expression was significantly correlated with immunotherapy efficacy. Conclusions: Our findings revealed a typical prognostic signature based on myCAF marker genes, which offers patients with BC a novel treatment target alongside theoretical justification.

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