Evidence map›Paper›PMID 37525016›Full record

ReviewNature cancer2023

Understanding the mechanisms and translational implications of the microbiome for cancer therapy innovation.

Jessica Queen, Fyza Shaikh, Cynthia L Sears

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Review
  3. The emerging role of non-Gastroenterology report · 2026
    Review
  4. Review
  5. ISME communications · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Molecular Mechanisms of Probiotic Action Against Gastrointestinal Cancers.International journal of molecular sciences · 2025
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Emerging technologies and current challenges in intratumoral microbiota research.Frontiers in cellular and infection microbiology · 2025
    Review
  17. Review
  18. Fecal microbial transplants as investigative tools in cancer.American journal of physiology. Gastrointestinal and liver physiology · 2024
    Review
  19. Review
  20. 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.

Jessica Queen *Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-4924-6621
Fyza Shaikh *Cancer Immunology Program, Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0001-7839-8483
Cynthia L Sears *Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. csears@jhmi.edu.ORCID 0000-0003-4059-1661

Funding

Metabolite driven mechanisms by which gut microbes impact checkpoint inhibitor success in non-small cell lung cancer patientsK08CA263316 · NCI · JOHNS HOPKINS UNIVERSITY · PI SHAIKH, FYZA Y · 2021 to 2025
$1.1M
Cancer Research UK 27140NCI NIH HHS K08 CA263316
6 · The paper itself

Abstract

The intersection of the microbiota and cancer and the mechanisms that define these interactions are a fascinating, rapidly evolving area of cancer biology and therapeutics. Here we present recent insights into the mechanisms by which specific bacteria or their communities contribute to carcinogenesis and discuss the bidirectional interplay between microbiota and host gene or epigenome signaling. We conclude with comments on manipulation of the microbiota for the therapeutic benefit of patients with cancer.

Indexed as

MicrobiotaNeoplasmsBacteriaCarcinogenesisHumans

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.