Evidence map›Paper›PMID 33123253›Full record

ReviewOncology letters2020

Association between the gut microbiota and patient responses to cancer immune checkpoint inhibitors.

Jian Wang, Hong-Ru Yang, Dai-Jie Wang, Xing-Xia Wang

Abstract readReview
In one paragraph

Review in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Effect of microbiome group on immune checkpoint inhibitors in treatment of gastrointestinal tumors.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2023
    Article
  6. Review
  7. Review
  8. An oral cancer vaccine using aMolecular therapy oncolytics · 2021
    Article
  9. Review
  10. Review
  11. Food, Nutrition, Physical Activity and Microbiota: Which Impact on Lung Cancer?International journal of environmental research and public health · 2021
    Review
  12. Review
  13. 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

4 authors.

Jian WangDepartment of Oncology, Luzhou People's Hospital, Luzhou, Sichuan 646000, P.R. China.
Hong-Ru YangDepartment of Oncology, Luzhou People's Hospital, Luzhou, Sichuan 646000, P.R. China.
Dai-Jie WangDepartment of Oncology, Luzhou People's Hospital, Luzhou, Sichuan 646000, P.R. China.
Xing-Xia WangDepartment of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies are increasingly investigating the association between the gut microbiota and the outcomes of immunotherapy in patients with cancer. Notably, certain studies have demonstrated that the gut microbiota serves a key role in regulating a patient's response to immunotherapy. In the present review, the potential associations between the gut microbiota, and cancer, host immunity and cancer immunotherapy are reviewed. Furthermore, the effects of fecal microbiota transplantation, antibiotics, probiotics, prebiotics, synbiotics, components of traditional Chinese medicine and various lifestyle factors on the gut microbiota and cancer immunotherapy outcomes are discussed. Certain dominant bacterial groups in the context of cancer immunotherapy and certain effective methods for optimizing immunotherapy by regulating the gut microbiota have been identified. Further investigation may enable the rapid conversion of these discoveries into practical products and clinically applicable methods.

Indexed as

antibioticsCTLA-4FMTPD-1PD-L1traditional Chinese medicine

Identifiers

PMID33123253
PMCPMC7583737

What OpenQuestion holds

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Registered trials

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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.