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Immune response drives outcomes in prostate cancer: implications for immunotherapy.
Meng, Jialin; Zhou, Yujie; Lu, Xiaofan; Bian, Zichen; Chen, Yiding; Zhou, Jun; Zhang, Li; Hao, Zongyao; Zhang, Meng; Liang, Chaozhao.
Affiliation
  • Meng J; Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Zhou Y; Institute of Urology & Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, China.
  • Lu X; Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, China.
  • Bian Z; State Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, China.
  • Chen Y; Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Zhou J; Institute of Urology & Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, China.
  • Zhang L; Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Hao Z; Institute of Urology & Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, China.
  • Zhang M; Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Liang C; Institute of Urology & Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, China.
Mol Oncol ; 15(5): 1358-1375, 2021 05.
Article in En | MEDLINE | ID: mdl-33338321
ABSTRACT
The heterogeneity of the immune microenvironment leads to different responses in immune checkpoint blockade therapy. We aimed to propose a robust molecular classification system to investigate the relevance of the immune microenvironment subtype and prognosis of prostate cancer patients, as well as the therapeutic response to immune checkpoint blockade therapy. A total of 1,557 prostate cancer patients were enrolled, including 69 real-world samples from our institute (titled the AHMU-PC cohort). The non-negative matrix factorization algorithm was employed to virtually microdissect patients. The immune enrichment was characterized by a high enrichment of T cell-, B cell-, NK cell-, and macrophage-associated signatures, by which patients were subclassified into nonimmune and immune classes. Subsequently, the immune class was dichotomized into immune-activated and immune-suppressed subtypes based on the stromal signature, represented by the activation of WNT/TGF-ß, TGF-ß1, and C-ECM signatures. Approximately 14.9% to 24.3% of patients belonged to the immune-activated subtype, which was associated with favorable recurrence-free survival outcomes. In addition, patients in the immune-activated subtype were predicted to benefit more from anti-PD-1/PD-L1 therapy. In conclusion, our study identifies a novel immune molecular classifier that is closely related to clinical prognosis and provides novel insights into immunotherapeutic strategies for prostate cancer patients.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Immunity Type of study: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Humans / Male / Middle aged Language: En Journal: Mol Oncol Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Immunity Type of study: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Humans / Male / Middle aged Language: En Journal: Mol Oncol Year: 2021 Document type: Article