A novel immune-related gene-based prognostic signature to predict biochemical recurrence in patients with prostate cancer after radical prostatectomy
- 30 November 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Cancer Immunology, Immunotherapy
- Vol. 70 (12), 3587-3602
- https://doi.org/10.1007/s00262-021-02923-6
Abstract
Accumulating evidences indicates that the immune landscape signature dramatically correlates with tumorigenesis and prognosis of prostate cancer (PCa). Here, we identified a novel immune-related gene-based prognostic signature (IRGPS) to predict biochemical recurrence (BCR) after radical prostatectomy. We also explored the correlation between IRGPS and tumor microenvironment. We identified an IRGPS consisting of seven immune-related genes (PPARGC1A, AKR1C2, COMP, EEF1A2, IRF5, NTM, and TPX2) that were related to the BCR-free survival of PCa patients. The high-risk patients exhibited a higher fraction of regulatory T cells and M2 macrophages than the low-risk BCR patients (P < 0.05) as well as a lower fraction of resting memory CD4 T cells and resting mast cells. These high-risk patients also had higher expression levels of CTLA4, TIGIT, PDCD1, LAG3, and TIM3. Finally, a strong correlation was detected between IRGPS and specific clinicopathological features, including Gleason scores and tumor stage. In conclusion, our study reveals the clinical significance and potential functions of the IRGPS, provides more data for predicting outcomes, and suggests more effective immunotherapeutic target strategies for PCa.Keywords
Funding Information
- Guangdong Basic and Applied Basic Research Foundation (2019A1515110033)
- Distinguished Young Talents in Higher Education Foundation of Guangdong Province (2019KQNCX115, 2020KZDZX1168)
- China Postdoctoral Science Foundation (2019M662865)
- Achievement Cultivation and Clinical Transformation Application Cultivation projects of the First Affiliated Hospital of Guangzhou Medical University (ZH201908)
- National Natural Science Foundation of China (81670643, 81870483)
- Collaborative Innovation Project of Guangzhou Education Bureau (1201620011)
- Guangzhou Science, Technology and Innovation Commission (201704020193)
- Science and Technology Planning Project of Guangdong Province (2017B030314108)
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