Evidence map›Paper›PMID 38571605›Full record

ReviewHeliyon2024

Macrophage diversity in human cancers: New insight provided by single-cell resolution and spatial context.

Militsa Rakina, Irina Larionova, Julia Kzhyshkowska

Open access · goldAbstract readReview
In one paragraph

Review in Heliyon, 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
9.9field-weighted citation impact, top 1% of its field
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, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Targeting CD24 Activates Macrophages to Reduce Tumor Burden in Preclinical Models of Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
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  15. Article
  16. A Single-Cell Atlas of Uterine Carcinosarcoma from Diverse Ancestries.bioRxiv : the preprint server for biology · 2026
    Article
  17. Article
  18. Review
  19. Current issues in molecular biology · 2026
    Article
  20. Review
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

3 authors at 2 institutions in 2 countries.

Militsa RakinaLaboratory of Translational Cellular and Molecular Biomedicine, National Research Tomsk State University, Tomsk, 634050, Russia.
Irina LarionovaLaboratory of Translational Cellular and Molecular Biomedicine, National Research Tomsk State University, Tomsk, 634050, Russia.
Julia KzhyshkowskaLaboratory of Translational Cellular and Molecular Biomedicine, National Research Tomsk State University, Tomsk, 634050, Russia.
Russian Academy of Sciences · RUNational Research Tomsk State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

M1/M2 paradigm of macrophage plasticity has existed for decades. Now it becomes clear that this dichotomy doesn't adequately reflect the diversity of macrophage phenotypes in tumor microenvironment (TME). Tumor-associated macrophages (TAMs) are a major population of innate immune cells in the TME that promotes tumor cell proliferation, angiogenesis and lymphangiogenesis, invasion and metastatic niche formation, as well as response to anti-tumor therapy. However, the fundamental restriction in therapeutic TAM targeting is the limited knowledge about the specific TAM states in distinct human cancer types. Here we summarized the results of the most recent studies that use advanced technologies (e.g. single-cell RNA sequencing and spatial transcriptomics) allowing to decipher novel functional subsets of TAMs in numerous human cancers. The transcriptomic profiles of these TAM subsets and their clinical significance were described. We emphasized the characteristics of specific TAM subpopulations - TREM2+, SPP1+, MARCO+, FOLR2+, SIGLEC1+, APOC1+, C1QC+, and others, which have been most extensively characterized in several cancers, and are associated with cancer prognosis. Spatial transcriptomics technologies defined specific spatial interactions between TAMs and other cell types, especially fibroblasts, in tumors. Spatial transcriptomics methods were also applied to identify markers of immunotherapy response, which are expressed by macrophages or in the macrophage-abundant regions. We highlighted the perspectives for novel techniques that utilize spatial and single cell resolution in investigating new ligand-receptor interactions for effective immunotherapy based on TAM-targeting.

Indexed as

DiversityPhenotypePlasticitySingle-cell analysisSpatial transcriptomicsSubpopulationTumor-associated macrophages

Identifiers

PMID38571605
PMCPMC10988020
OpenAlexW4393210079

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.