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

Author:

Guimarães Gabriela RapozoORCID,Maklouf Giovanna Resk,Teixeira Cristiane EstevesORCID,de Oliveira Santos Leandro,Tessarollo Nayara GusmãoORCID,de Toledo Nayara Evelin,Serain Alessandra Freitas,de Lanna Cristóvão AntunesORCID,Pretti Marco AntônioORCID,da Cruz Jéssica Gonçalves Vieira,Falchetti MarceloORCID,Dimas Mylla M.ORCID,Filgueiras Igor SalernoORCID,Cabral-Marques Otavio,Ramos Rodrigo NalioORCID,de Macedo Fabiane Carvalho,Rodrigues Fabiana Resende,Bastos Nina Carrossini,da Silva Jesse LopesORCID,Lummertz da Rocha EdroaldoORCID,Chaves Cláudia Bessa PereiraORCID,de Melo Andreia Cristina,Moraes-Vieira Pedro M. M.ORCID,Mori Marcelo A.ORCID,Boroni MarianaORCID

Abstract

AbstractTumor-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.

Publisher

Springer Science and Business Media LLC

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