Evidence map›Paper›PMID 39962208›Full record

ReviewNature cancer2025

Linking macrophage metabolism to function in the tumor microenvironment.

Robbie Jin, Luke Neufeld, Tracy L McGaha

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers.

0numbers the graph read from it
0cells of the map it votes in
114citing 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

114 citing papers in PubMed.

  1. Review
  2. Materials today. Bio · 2026
    Article
  3. Review
  4. Article
  5. Macrophage Trogocytosis of Tumor Cells Drives the Immunosuppression of Tumor Microenvironment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. DONSON links tumor-cell survival to MIF-associated macrophage remodeling in small cell lung cancer.Apoptosis : an international journal on programmed cell death · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
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  14. Review
  15. Article
  16. Article
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  18. Review
  19. Article
  20. Article

54 more citing papers are in PubMed but not listed here.

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.

Robbie Jin *Tumor Immunotherapy Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-0761-2491
Luke Neufeld *Tumor Immunotherapy Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-4557-9063
Tracy L McGahaTumor Immunotherapy Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada. tracy.mcgaha@uhn.ca.ORCID http://orcid.org/0000-0003-4721-9301

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macrophages are present at high frequency in most solid tumor types, and their relative abundance negatively correlates with therapy responses and survival outcomes. Tissue-resident macrophages are highly tuned to integrate tissue niche signals, and multiple factors within the idiosyncratic tumor microenvironment (TME) drive macrophages to polarization states that favor immune suppression, tumor growth and metastasis. These diverse functional states are underpinned by extensive and complex rewiring of tumor-associated macrophage (TAM) metabolism. In this Review, we link distinct and specific macrophage functional states within the TME to major, phenotype-sustaining metabolic programs and discuss the metabolic impact of macrophage-modulating therapeutic interventions.

Indexed as

MacrophagesNeoplasmsTumor-Associated MacrophagesTumor MicroenvironmentAnimalsHumans

Identifiers

PMID39962208

What OpenQuestion holds

Textmetadata
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.