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Single-cell resolution characterization of myeloid-derived cell states with implication in cancer outcome

Author

Listed:
  • Gabriela Rapozo Guimarães

    (Brazilian National Cancer Institute (INCA))

  • Giovanna Resk Maklouf

    (Brazilian National Cancer Institute (INCA))

  • Cristiane Esteves Teixeira

    (Brazilian National Cancer Institute (INCA))

  • Leandro Santos

    (Brazilian National Cancer Institute (INCA))

  • Nayara Gusmão Tessarollo

    (Brazilian National Cancer Institute (INCA))

  • Nayara Evelin Toledo

    (Brazilian National Cancer Institute (INCA))

  • Alessandra Freitas Serain

    (Brazilian National Cancer Institute (INCA))

  • Cristóvão Antunes Lanna

    (Brazilian National Cancer Institute (INCA))

  • Marco Antônio Pretti

    (Brazilian National Cancer Institute (INCA))

  • Jéssica Gonçalves Vieira Cruz

    (Brazilian National Cancer Institute (INCA))

  • Marcelo Falchetti

    (Federal University of Santa Catarina)

  • Mylla M. Dimas

    (Federal University of Santa Catarina)

  • Igor Salerno Filgueiras

    (University of São Paulo,(USP))

  • Otavio Cabral-Marques

    (University of São Paulo,(USP)
    Instituto D’Or de Ensino e Pesquisa
    University of São Paulo (USP))

  • Rodrigo Nalio Ramos

    (University of São Paulo,(USP)
    Instituto D’Or de Ensino e Pesquisa
    University of São Paulo (USP))

  • Fabiane Carvalho Macedo

    (Brazilian National Cancer Institute (INCA))

  • Fabiana Resende Rodrigues

    (Brazilian National Cancer Institute (INCA))

  • Nina Carrossini Bastos

    (Brazilian National Cancer Institute (INCA))

  • Jesse Lopes Silva

    (Brazilian National Cancer Institute (INCA))

  • Edroaldo Lummertz da Rocha

    (Federal University of Santa Catarina)

  • Cláudia Bessa Pereira Chaves

    (Brazilian National Cancer Institute (INCA)
    Brazilian National Cancer Institute (INCA))

  • Andreia Cristina Melo

    (Brazilian National Cancer Institute (INCA))

  • Pedro M. M. Moraes-Vieira

    (Universidade Estadual de Campinas
    Universidade Estadual de Campinas
    Universidade Estadual de Campinas)

  • Marcelo A. Mori

    (Universidade Estadual de Campinas
    Universidade Estadual de Campinas
    Universidade Estadual de Campinas)

  • Mariana Boroni

    (Brazilian National Cancer Institute (INCA))

Abstract

Tumor-associated myeloid-derived cells (MDCs) significantly impact cancer prognosis and treatment responses due to their remarkable plasticity and tumorigenic behaviors. Here, we integrate single-cell RNA-sequencing data from different cancer types, identifying 29 MDC subpopulations within the tumor microenvironment. Our analysis reveals abnormally expanded MDC subpopulations across various tumors and distinguishes cell states that have often been grouped together, such as TREM2+ and FOLR2+ subpopulations. Using deconvolution approaches, we identify five subpopulations as independent prognostic markers, including states co-expressing TREM2 and PD-1, and FOLR2 and PDL-2. Additionally, TREM2 alone does not reliably predict cancer prognosis, as other TREM2+ macrophages show varied associations with prognosis depending on local cues. Validation in independent cohorts confirms that FOLR2-expressing macrophages correlate with poor clinical outcomes in ovarian and triple-negative breast cancers. This comprehensive MDC atlas offers valuable insights and a foundation for futher analyses, advancing strategies for treating solid cancers.

Suggested Citation

  • Gabriela Rapozo Guimarães & Giovanna Resk Maklouf & Cristiane Esteves Teixeira & Leandro Santos & Nayara Gusmão Tessarollo & Nayara Evelin Toledo & Alessandra Freitas Serain & Cristóvão Antunes Lanna , 2024. "Single-cell resolution characterization of myeloid-derived cell states with implication in cancer outcome," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-49916-4
    DOI: 10.1038/s41467-024-49916-4
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