Evidence map›Paper›PMID 32216675›Full record

ReviewGut microbes2020

Gut bacteria affect the tumoral immune milieu: distorting the efficacy of immunotherapy or not?.

Pu Xiaoyu, Ge Chao, Dong Lihua, Chang Pengyu

Open access · goldAbstract readReview
In one paragraph

Review in Gut microbes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 51% of its field
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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. The Role of Gut Microbiota in Tumor Immunotherapy.Journal of immunology research · 2021
    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 at 1 institution in 1 country.

Pu XiaoyuDepartment of Radiation Oncology & Therapy, Jilin Provincial Key Laboratory of Radiation Oncology & Therapy, The First Hospital of Jilin University , Changchun, China.ORCID 0000-0001-9138-1598
Ge ChaoDepartment of Radiation Oncology & Therapy, Jilin Provincial Key Laboratory of Radiation Oncology & Therapy, The First Hospital of Jilin University , Changchun, China.ORCID 0000-0002-5976-3462
Dong LihuaDepartment of Radiation Oncology & Therapy, Jilin Provincial Key Laboratory of Radiation Oncology & Therapy, The First Hospital of Jilin University , Changchun, China.ORCID 0000-0002-5148-2949
Chang PengyuDepartment of Radiation Oncology & Therapy, Jilin Provincial Key Laboratory of Radiation Oncology & Therapy, The First Hospital of Jilin University , Changchun, China.ORCID 0000-0001-9047-7942
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy using immune-checkpoint inhibitors is revolutionizing oncotherapy. However, the application of immunotherapy may be restricted because of the lack of proper biomarkers in a portion of cancer patients. Recently, emerging evidence has revealed that gut commensal bacteria can impact the therapeutic efficacy of immune-checkpoint inhibitors in several cancer models. In addition, testing the composition of gut bacteria provides context for prediction of the efficacy and toxicity of immunotherapy. In this review, we discuss the impacts of gut commensal bacteria on the tumoral immune milieu, highlighting some typical bacteria and their associations with immunotherapy.

Indexed as

Bacterial Physiological PhenomenaGastrointestinal MicrobiomeImmunotherapyAnimalsBacteriaBiomarkersFecesGastrointestinal TractHumansImmune Checkpoint InhibitorsImmunityNeoplasmsSymbiosisBiomarkersImmune Checkpoint InhibitorsCommensal bacteriagut immunityimmune-checkpoint inhibitorimmunotherapy biomarkertumor immune milieu

Identifiers

PMID32216675
PMCPMC7524336
OpenAlexW3013316809

What Socratic 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 Socratic graph.