Identification of metabolism-associated genes and construction of a prognostic signature in bladder cancer

Cancer Cell International

卷:20

Jing Liu¹  Yonghua Wang²  Chengquan Shen²  Haitao Niu²  Zhijuan Liang³  Liping Wang³ 

[1] Department of Research Management and International Cooperation, The Affiliated Hospital of Qingdao University;

[2] Department of Urology, The Affiliated Hospital of Qingdao University;

[3] Key Laboratory of Urology and Andrology, The Affiliated Hospital of Qingdao University;

关键词: Bladder cancer;    Metabolism;    TGF-β1;    Prognosis;    TCGA;   

DOI  :  10.1186/s12935-020-01627-8

来源: DOAJ

【 摘 要 】

Abstract Background Bladder cancer (BC) is a commonly diagnosed malignant tumor in the urinary system, with a high morbidity and a high recurrence rate. Current studies indicated that metabolism-associated genes (MAGs) having critical roles in the etiology of BC. The present study aims to identify differentially expressed MAGs and construct a MAGs based prognostic risk signature for BC by using The Cancer Genome Atlas (TCGA) database and proteomics data. Methods RNA-sequence data from the TCGA database and proteomics data from our BC samples were used to identify differentially expressed MAGs and construct a MAGs based prognostic signature in BC. Subsequently, survival analysis and nomogram were used to evaluate the prognostic and predictive value of the MAGs based signature in BC. RNA isolation and reverse transcription‑quantitative PCR (RT-qPCR) were further performed to investigate the expression levels of MAGs in BC cells and explore the relationship between MAGs and M2 tumor associated macrophages (TAMs) secreted transforming growth factor-β1 (TGF-β1) in BC cells. Results A total of 23 differentially expressed MAGs were identified and five MAGs were finally used to construct a MAGs based signature. Survival analysis revealed that the MAGs based signature was closely correlated with the survival outcomes of patients with BC. A nomogram with the MAGs based signature risk score and clinical features was also constructed to facilitate the individualized prediction of BC patients. RT-qPCR showed that five MAGs were significantly differentially expressed and the expression levels of three MAGs were positively correlated with M2 TAMs secreted TGF-β1 in T24 cells. Conclusions Our study identified novel prognostic MAGs and constructed a MAGs based signature, which can be used as an independent factor in evaluating the prognosis of patients with BC. Furthermore, M2 TAMs may promote the expression of MAGs via the TGF-β1 signaling pathway in the microenvironment of BC. Further clinical trials and experimental explorations are needed to validate our observations in BC.

【 授权许可】

Unknown