Evidence map›Paper›PMID 38972873›Full record

ArticleNature communications2024

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

Gabriela Rapozo Guimarães, Giovanna Resk Maklouf, Cristiane Esteves Teixeira, Leandro de Oliveira Santos, Nayara Gusmão Tessarollo, Nayara Evelin de Toledo, Alessandra Freitas Serain, Cristóvão Antunes de Lanna, Marco Antônio Pretti, Jéssica Gonçalves Vieira da Cruz and 15 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed.

  1. Article
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  8. Macrophage Plasticity in Cancer Therapy: Function, Timing, and Tradeoffs.International journal of molecular sciences · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Gabriela Rapozo Guimarães *Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.ORCID 0000-0001-5483-0278
Giovanna Resk Maklouf *Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.
Cristiane Esteves TeixeiraLaboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.ORCID 0000-0002-7443-2151
Leandro de Oliveira SantosLaboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.
Nayara Gusmão TessarolloLaboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.ORCID 0000-0003-4735-6971
Nayara Evelin de ToledoLaboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.
Alessandra Freitas SerainLaboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.
Cristóvão Antunes de LannaLaboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.ORCID 0000-0002-5946-4358
Marco Antônio PrettiLaboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.ORCID 0000-0002-9511-294X
Jéssica Gonçalves Vieira da CruzLaboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.
Marcelo FalchettiDepartment of Microbiology, Immunology, and Parasitology, Federal University of Santa Catarina, Florianópolis, SC, Brazil.ORCID 0000-0002-9438-680X
Mylla M DimasDepartment of Microbiology, Immunology, and Parasitology, Federal University of Santa Catarina, Florianópolis, SC, Brazil.ORCID 0000-0002-9623-069X
Igor Salerno FilgueirasDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo,(USP), São Paulo, Brazil.ORCID 0000-0002-3493-4464
Otavio Cabral-MarquesDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo,(USP), São Paulo, Brazil.
Rodrigo Nalio RamosDepartment of Immunology, Institute of Biomedical Sciences, University of São Paulo,(USP), São Paulo, Brazil.ORCID 0000-0003-1249-4733
Fabiane Carvalho de MacedoDivision of Pathology, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.
Fabiana Resende RodriguesDivision of Pathology, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.
Nina Carrossini BastosDivision of Pathology, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.
Jesse Lopes da SilvaDivision of Clinical Research and Technological Development, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.ORCID 0000-0002-0790-9917
Edroaldo Lummertz da RochaDepartment of Microbiology, Immunology, and Parasitology, Federal University of Santa Catarina, Florianópolis, SC, Brazil.ORCID 0000-0003-0537-4223
Cláudia Bessa Pereira ChavesDivision of Clinical Research and Technological Development, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.ORCID 0000-0003-1919-5672
Andreia Cristina de MeloDivision of Clinical Research and Technological Development, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.
Pedro M M Moraes-VieiraLaboratory of Immunometabolism, Department of Genetics, Evolution, Microbiology, and Immunology, Institute of Biology, Universidade Estadual de Campinas, Campinas, SP, Brazil.ORCID 0000-0002-8263-786X
Marcelo A MoriObesity and Comorbidities Research Center (OCRC), Universidade Estadual de Campinas, Campinas, SP, Brazil.ORCID 0000-0001-7112-5263
Mariana BoroniLaboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil. mariana.boroni@inca.gov.br.ORCID 0000-0003-3495-9917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Membrane GlycoproteinsMyeloid CellsNeoplasmsReceptors, ImmunologicSingle-Cell AnalysisTumor MicroenvironmentB7-H1 AntigenBiomarkers, TumorFemaleHumansOvarian NeoplasmsPrognosisProgrammed Cell Death 1 ReceptorTriple Negative Breast NeoplasmsB7-H1 AntigenBiomarkers, TumorMembrane GlycoproteinsPDCD1 protein, humanProgrammed Cell Death 1 ReceptorReceptors, ImmunologicTREM2 protein, human

Identifiers

PMID38972873
PMCPMC11228020

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.