A novel immune-related gene-based prognostic signature to predict biochemical recurrence in patients with prostate cancer after radical prostatectomy.
CD4-Positive T-Lymphocytes
/ immunology
Databases, Genetic
Humans
Macrophages
/ immunology
Male
Mast Cells
/ immunology
Neoplasm Grading
/ methods
Neoplasm Recurrence, Local
/ genetics
Prognosis
Prostatectomy
/ methods
Prostatic Neoplasms
/ genetics
Retrospective Studies
Risk Factors
T-Lymphocytes, Regulatory
/ immunology
Tumor Microenvironment
/ immunology
Biochemical recurrence
Immunotherapy
Prognosis
Prostate cancer
Journal
Cancer immunology, immunotherapy : CII
ISSN: 1432-0851
Titre abrégé: Cancer Immunol Immunother
Pays: Germany
ID NLM: 8605732
Informations de publication
Date de publication:
Dec 2021
Dec 2021
Historique:
received:
23
11
2020
accepted:
22
03
2021
pubmed:
3
5
2021
medline:
18
11
2021
entrez:
2
5
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 33934205
doi: 10.1007/s00262-021-02923-6
pii: 10.1007/s00262-021-02923-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3587-3602Subventions
Organisme : Guangdong Basic and Applied Basic Research Foundation
ID : 2019A1515110033
Organisme : Distinguished Young Talents in Higher Education Foundation of Guangdong Province
ID : 2019KQNCX115
Organisme : Distinguished Young Talents in Higher Education Foundation of Guangdong Province
ID : 2020KZDZX1168
Organisme : China Postdoctoral Science Foundation
ID : 2019M662865
Organisme : Achievement cultivation and clinical transformation application cultivation projects of the First Affiliated Hospital of Guangzhou Medical University
ID : ZH201908
Organisme : National Natural Science Foundation of China
ID : 81670643
Organisme : National Natural Science Foundation of China
ID : 81870483
Organisme : Collaborative Innovation Project of Guangzhou Education Bureau
ID : 1201620011
Organisme : Guangzhou Science, Technology and Innovation Commission
ID : 201704020193
Organisme : Science and Technology Planning Project of Guangdong Province
ID : 2017B030314108
Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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