Evidence map›Paper›PMID 39031507›Full record

ReviewImmunity, inflammation and disease2024

Potential mechanisms and targeting strategies of the gut microbiota in antitumor immunity and immunotherapy.

Qian Yin, Jiao-Jiao Ni, Jie-Er Ying

Abstract readReview
In one paragraph

Review in Immunity, inflammation and disease, 2024. 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. Review
  2. Review
  3. Gut microbiota shapes cancer immunotherapy responses.NPJ biofilms and microbiomes · 2025
    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

3 authors.

Qian YinPostgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, China.ORCID 0009-0006-8664-0624
Jiao-Jiao NiDepartment of Hepato-Pancreato-Biliary & Gastric Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, China.
Jie-Er YingDepartment of Hepato-Pancreato-Biliary & Gastric Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, China.

Funding

China Postdoctoral Science Foundation 2022M723205Special Research Support for Post-marketing Clinical Research of Innovative Drugs WKZX2023CX030001Zhejiang Anti-Cancer Association-Qilu Clinical Research zjskaxhqllckyxm202208Zhejiang Provincial Natural Science Foundation of China LQ23H160009Zhejiang Provincial Natural Science Foundation of China LTGY23H160010
6 · The paper itself

Abstract

backgroundImmunotherapies, notably immune checkpoints inhibitors that target programmed death 1/programmed death ligand 1(PD-1/PD-L1) and cytotoxic T lymphocyte-associated antigen 4 (CTLA-4), had profoundly changed the way advanced and metastatic cancers are treated and dramatically improved overall and progression-free survival.

aimsThis review article aimed to explore the underlying molecular mechanisms by which the gut microbiota affects antitumor immunity and the efficacy of cancer immunotherapy.

methodsWe summarized the latest knowledge supporting the associations among the gut microbiota, antitumor immunity, and immunotherapy. Moreover, we disscussed the therapeutic strategy for improving immunotherapy efficacy by modulating gut microbiota in cancer treatment.

resultsThe potential molecular mechanisms underlying these associations are explained in terms of four aspects: immunomodulation, molecular mimicry, mamps, and microbial metabolites.

conclusionThe gut microbiota significantly impacts antitumor immunity and alters the effectiveness of cancer immunotherapy.

Indexed as

Gastrointestinal MicrobiomeImmunotherapyNeoplasmsAnimalsHumansImmune Checkpoint InhibitorsImmunomodulationImmune Checkpoint Inhibitorsantitumor immunitycancercancer therapygut microbiotaimmunotherapy

Identifiers

PMID39031507
PMCPMC11259004

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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 OpenQuestion graph.