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The Prognostic Potential of Human Prostate Cancer-Associated Macrophage Subtypes as Revealed by Single-Cell Transcriptomics.
- Source :
-
Molecular cancer research : MCR [Mol Cancer Res] 2021 Oct; Vol. 19 (10), pp. 1778-1791. Date of Electronic Publication: 2021 Jun 15. - Publication Year :
- 2021
-
Abstract
- Macrophages in the tumor microenvironment are causally linked with prostate cancer development and progression, yet little is known about their composition in neoplastic human tissue. By performing single cell transcriptomic analysis of human prostate cancer resident macrophages, three distinct populations were identified in the diseased prostate. Unexpectedly, no differences were observed between macrophages isolated from the tumorous and nontumorous portions of the prostatectomy specimens. Markers associated with canonical M1 and M2 macrophage phenotypes were identifiable, however these were not the main factors defining unique subtypes. The genes selectively associated with each macrophage cluster were used to develop a gene signature which was highly associated with both recurrence-free and metastasis-free survival. These results highlight the relevance of tissue-specific macrophage subtypes in the tumor microenvironment for prostate cancer progression and demonstrates the utility of profiling single-cell transcriptomics in human tumor samples as a strategy to design gene classifiers for patient prognostication. IMPLICATIONS: The specific macrophage subtypes present in a diseased human prostate have prognostic value, suggesting that the relative proportions of these populations are related to patient outcome. Understanding the relative contributions of these subtypes will not only inform patient prognostication, but will enable personalized immunotherapeutic strategies to increase beneficial populations or reduce detrimental populations.<br /> (©2021 The Authors; Published by the American Association for Cancer Research.)
- Subjects :
- Biomarkers, Tumor genetics
Gene Expression Profiling methods
Gene Expression Regulation, Neoplastic genetics
Humans
Macrophage Activation genetics
Male
Prognosis
Prostate pathology
Prostatectomy methods
Single-Cell Analysis methods
Tumor Microenvironment genetics
Macrophages pathology
Prostatic Neoplasms genetics
Prostatic Neoplasms pathology
Transcriptome genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1557-3125
- Volume :
- 19
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Molecular cancer research : MCR
- Publication Type :
- Academic Journal
- Accession number :
- 34131070
- Full Text :
- https://doi.org/10.1158/1541-7786.MCR-20-0740