{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["15(1)"],"submitter":["Guimaraes GR"],"pubmed_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 association"],"journal":["Nature communications"],"pagination":["5694"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11228020"],"repository":["biostudies-literature"],"pubmed_title":["Single-cell resolution characterization of myeloid-derived cell states with implication in cancer outcome."],"pmcid":["PMC11228020"],"pubmed_authors":["de Oliveira Santos L","da Cruz JGV","Cabral-Marques O","Guimaraes GR","Rodrigues FR","Tessarollo NG","Ramos RN","Teixeira CE","Bastos NC","de Melo AC","Moraes-Vieira PMM","de Toledo NE","Boroni M","Dimas MM","Maklouf GR","Pretti MA","Falchetti M","Chaves CBP","Serain AF","de Lanna CA","de Macedo FC","Lummertz da Rocha E","Filgueiras IS","da Silva JL","Mori MA"],"additional_accession":[]},"is_claimable":false,"name":"Single-cell resolution characterization of myeloid-derived cell states with implication in cancer outcome.","description":"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 association","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jul","modification":"2026-06-01T13:34:50.672Z","creation":"2025-04-04T11:24:24.694Z"},"accession":"S-EPMC11228020","cross_references":{"pubmed":["38972873"],"doi":["10.1038/s41467-024-49916-4"]}}