A Five Glutamine-Associated Signature Predicts Prognosis of Prostate Cancer and Links Glutamine Metabolism with Tumor Microenvironment

Glutamine has been recognized as an important amino acid that provide a variety of intermediate products to fuel biosynthesis. Glutamine metabolism participates in the progression of the tumor via various mechanisms. However, glutamine-metabolism-associated signatures and its significance in prostat...

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Bibliographic Details
Published in:Journal of clinical medicine 2023-03, Vol.12 (6), p.2243
Main Authors: Wang, Hai, Chen, Yuxiao, Zhao, Wei, Liu, Haolin, Tu, Hongtao, Xia, Zhongyou, Wang, Rui, Tang, Jinze, Zhu, Chuang, Li, Rui, Liu, Xiaodong, Gu, Peng
Format: Article
Language:English
Subjects:
Cancer therapies
Care and treatment
Clinical medicine
Development and progression
Gene expression
Genomics
Glutamine metabolism
Health aspects
Health risk assessment
Medical prognosis
Medical research
Metabolism
Methods
Multivariate analysis
Patient outcomes
Patients
Prostate cancer
Prostatectomy
Regression analysis
Software
Surgery
Survival analysis
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Summary:Glutamine has been recognized as an important amino acid that provide a variety of intermediate products to fuel biosynthesis. Glutamine metabolism participates in the progression of the tumor via various mechanisms. However, glutamine-metabolism-associated signatures and its significance in prostate cancer are still unclear. In this current study, we identified five genes associated with glutamine metabolism by univariate and Lasso regression analysis and constructed a model to predict the biochemical recurrence free survival (BCRFS) of PCa. Further validation of the prognostic risk model demonstrated a good efficacy in predicting the BCRFS in PCa patients. Interestingly, based on the CIBERSORTx, ssGSEA and ESTIMATE algorithms predictions, we noticed a distinct immune cell infiltration and immune pathway pattern in the prediction of the two risk groups stratified by the risk model. Drug sensitivity prediction revealed that patients in the high-risk group were more suitable for chemotherapy. Last but not least, glutamine deprivation significantly inhibited cell growth in GLUL or ASNS knock down prostate cancer cell lines. Therefore, we proposed a novel prognostic model by using glutamine metabolism genes for PCa patients and identified potential mechanism of PCa progression through glutamine-related tumor microenvironment remodeling.
ISSN:2077-0383
2077-0383
DOI:10.3390/jcm12062243