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The prognostic potential of human prostate cancer-associated macrophage subtypes as revealed by single-cell transcriptomics

  • Joseph C. Siefert
  • , Bianca Cioni
  • , Mauro J. Muraro
  • , Mohammed Alshalalfa
  • , Judith Vivie
  • , Henk G. van der Poel
  • , Ivo G. Schoots
  • , Elise Bekers
  • , Felix Y. Feng
  • , Lodewyk F.A. Wessels*
  • , Wilbert Zwart*
  • , Andries M. Bergman*
  • *Corresponding author for this work
  • Netherlands Cancer Institute
  • Single Cell Discoveries B.V.
  • Utrecht University
  • University of California at San Francisco
  • Oncode Institute

Research output: Contribution to journalArticleAcademicpeer-review

26 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1778-1791
Number of pages14
JournalMolecular Cancer Research
Volume19
Issue number10
DOIs
Publication statusPublished - 1 Oct 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
2021 The Authors; Published by the American Association for Cancer Research

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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