Evidence map›Paper›PMID 36253536›Full record

ReviewNature reviews. Cancer2022

Targeting the gut microbiota for cancer therapy.

Miriam R Fernandes, Poonam Aggarwal, Raquel G F Costa, Alicia M Cole, Giorgio Trinchieri

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 193 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
193citing papers in PubMed, 2 pooled it
–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

193 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
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  6. Review
  7. Gut microbes · 2026
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Use, understanding, and perceptions of gut microbiome research and practices in oncology.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  13. Review
  14. Article
  15. Formic acid released by intratumoralActa pharmaceutica Sinica. B · 2026
    Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Review

133 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

5 authors.

Miriam R FernandesLaboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.
Poonam AggarwalLaboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.
Raquel G F CostaLaboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.
Alicia M ColeLaboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.ORCID 0000-0002-7792-2543
Giorgio TrinchieriLaboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA. trinchig@mail.nih.gov.ORCID 0000-0001-5892-7464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing evidence suggests that the gut microbiota modulates the efficacy and toxicity of cancer therapy, most notably immunotherapy and its immune-related adverse effects. The poor response to immunotherapy in patients treated with antibiotics supports this influential role of the microbiota. Until recently, results pertaining to the identification of the microbial species responsible for these effects were incongruent, and relatively few studies analysed the underlying mechanisms. A better understanding of the taxonomy of the species involved and of the mechanisms of action has since been achieved. Defined bacterial species have been shown to promote an improved response to immune-checkpoint inhibitors by producing different products or metabolites. However, a suppressive effect of Gram-negative bacteria may be dominant in some unresponsive patients. Machine learning approaches trained on the microbiota composition of patients can predict the ability of patients to respond to immunotherapy with some accuracy. Thus, interest in modulating the microbiota composition to improve patient responsiveness to therapy has been mounting. Clinical proof-of-concept studies have demonstrated that faecal microbiota transplantation or dietary interventions might be utilized clinically to improve the success rate of immunotherapy in patients with cancer. Here, we review recent advances and discuss emerging strategies for microbiota-based cancer therapies.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaNeoplasmsFecal Microbiota TransplantationHumansImmunotherapy

Identifiers

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.