Evidence map›Paper›PMID 38831013›Full record

ReviewBritish journal of cancer2024

Clinical landscape of macrophage-reprogramming cancer immunotherapies.

Jenna H Rannikko, Maija Hollmén

Abstract readReview
In one paragraph

Review in British journal of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

92 citing papers in PubMed.

  1. Article
  2. Macrophages are what they eat.Nature chemical biology · 2026
    Article
  3. Article
  4. Review
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  8. Review
  9. Article
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  11. Review
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  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Microorganisms · 2026
    Article
  20. Tracking macrophages by direct and indirectEuropean journal of nuclear medicine and molecular imaging · 2026
    Article

32 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

2 authors.

Jenna H RannikkoMediCity Research Laboratory and InFLAMES Flagship, University of Turku, Turku, Finland.ORCID http://orcid.org/0000-0002-9506-9099
Maija HollménMediCity Research Laboratory and InFLAMES Flagship, University of Turku, Turku, Finland. maijal@utu.fi.ORCID http://orcid.org/0000-0002-3250-7653

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumour-associated macrophages (TAMs) sustain a tumour-supporting and immunosuppressive milieu and therefore aggravate cancer prognosis. To modify TAM behaviour and unlock their anti-tumoural potential, novel TAM-reprogramming immunotherapies are being developed at an accelerating rate. At the same time, scientific discoveries have highlighted more sophisticated TAM phenotypes with complex biological functions and contradictory prognostic associations. To understand the evolving clinical landscape, we reviewed current and past clinically evaluated TAM-reprogramming cancer therapeutics and summarised almost 200 TAM-reprogramming agents investigated in more than 700 clinical trials. Observable overall trends include a high frequency of overlapping strategies against the same therapeutic targets, development of more complex strategies to improve previously ineffective approaches and reliance on combinatory strategies for efficacy. However, strong anti-tumour efficacy is uncommon, which encourages re-directing efforts on identifying biomarkers for eligible patient populations and comparing similar treatments earlier. Future endeavours will benefit from considering the shortcomings of past treatment strategies and accommodating the emerging complexity of TAM biology.

Indexed as

ImmunotherapyNeoplasmsTumor-Associated MacrophagesHumansMacrophagesTumor Microenvironment

Identifiers

PMID38831013
PMCPMC11333586

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.