Evidence map›Paper›PMID 41355895›Full record

ReviewBiomaterials research2025

Targeting Microbe-Mediated Macrophage Education: A Novel Paradigm in Cancer Immunotherapy.

Rongwei Xu, Xinyuan Zhao, Xu Chen, Huixi Zhou, Li Cui

Abstract readReview
In one paragraph

Review in Biomaterials research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

5 authors.

Rongwei XuStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou 510280, Guangdong, China.
Xinyuan ZhaoStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou 510280, Guangdong, China.
Xu ChenStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou 510280, Guangdong, China.
Huixi ZhouStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou 510280, Guangdong, China.
Li CuiStomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou 510280, Guangdong, China.ORCID https://orcid.org/0000-0001-9814-6945

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) is a complex ecosystem where interactions between tumor cells, immune cells, and microbes notably influence cancer progression and response to therapy. Tumor-associated macrophages (TAMs), which are crucial components of the TME, exhibit remarkable plasticity, adapting their functions in response to signals from both the tumor and its microbiota. Microbes-including bacteria, viruses, fungi, and their metabolites-modulate multiple aspects of TAM biology, from polarization and metabolism to immune modulation, thereby influencing tumor progression and immune evasion. This review focuses on the mechanisms through which microbes shape TAM responses, particularly in the context of cancer immunotherapy. Emerging therapeutic strategies leverage these microbe-TAM interactions using engineered microbes, oncolytic viruses, and microbial nanomaterials to reprogram TAMs and enhance antitumor immunity. Although formidable challenges remain, including spatial and temporal heterogeneity, mechanistic complexity, and safety concerns, these innovative approaches hold the potential to revolutionize cancer treatment. By targeting the microbe-TAM axis, this therapeutic strategy offers a promising avenue for overcoming resistance and improving the effectiveness of cancer immunotherapy.

Identifiers

PMID41355895
PMCPMC12678025

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.