Evidence map›Paper›PMID 33743198›Full record

ReviewThe lancet. Gastroenterology & hepatology2021

The relationship between gastrointestinal cancers and the microbiota.

Kaitlyn D LaCourse, Christopher D Johnston, Susan Bullman

Abstract readReview
In one paragraph

Review in The lancet. Gastroenterology & hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  18. Intratumoral microorganisms in tumors of the digestive system.Cell communication and signaling : CCS · 2024
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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.

Kaitlyn D LaCourseHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Christopher D JohnstonVaccine and Infection Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Susan BullmanHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. Electronic address: sbullman@fredhutch.org.

Funding

The SyngenicDNA and μPOET Platform: Overcoming Innate Barriers to Genetic Engineering in Bacteria.R01DE027850 · NIDCR · FRED HUTCHINSON CANCER RESEARCH CENTER · PI JOHNSTON, CHRISTOPHER D · 2017 to 2021
$4.9M
The role of Fusobacterium in colorectal cancer treatment, tumor ecology and chemotherapeutic efficacyR00CA229984 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BULLMAN, SUSAN · 2019 to 2021
$718k
NCI NIH HHS R00 CA229984NIDCR NIH HHS R01 DE027850
6 · The paper itself

Abstract

The contribution of the microbiota to disease progression and treatment efficacy is often neglected when determining who is at the highest risk of developing gastrointestinal cancers or designing treatment strategies for patients. We reviewed the current literature on the effect of the human microbiota on cancer risk, prognosis, and treatment efficacy. We highlight emerging research that seeks to identify microbial signatures as biomarkers for various gastrointestinal cancers, and discuss how we could harness knowledge of the microbiome to detect, prevent, and treat these cancers. Finally, we outline further research needed in the field of gastrointestinal cancers and the microbiota, and describe the efforts required to increase the accuracy and reproducibility of data linking the microbiome to cancer.

Indexed as

AdultAgedBiomarkers, TumorDisease ProgressionDysbiosisGastrointestinal NeoplasmsHumansMicrobiotaMiddle AgedPrognosisReproducibility of ResultsTreatment OutcomeBiomarkers, Tumor

Identifiers

PMID33743198
PMCPMC10773981

What OpenQuestion holds

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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.