Evidence map›Paper›PMID 31526274›Full record

ReviewCritical reviews in clinical laboratory sciences2019

Complex interactions between the microbiome and cancer immune therapy.

Drew J Schwartz, Olivia N Rebeck, Gautam Dantas

Open access · greenAbstract readReview
In one paragraph

Review in Critical reviews in clinical laboratory sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

31 citing papers in PubMed, 43 citations in OpenAlex.

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  10. Gut microbiota affects PD-L1 therapy and its mechanism in melanoma.Cancer immunology, immunotherapy : CII · 2025
    Review
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  19. Implication of gut microbiome in immunotherapy for colorectal cancer.World journal of gastrointestinal oncology · 2022
    Review
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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 at 1 institution in 1 country.

Drew J SchwartzDepartment of Pediatrics, Division of Infectious Diseases, Washington University School of Medicine , St. Louis , MO , USA.ORCID 0000-0003-1568-7733
Olivia N RebeckThe Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine , St. Louis , MO , USA.ORCID 0000-0002-2220-3218
Gautam DantasThe Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine , St. Louis , MO , USA.ORCID 0000-0003-0455-8370
Washington University in St. Louis · US

Funding

MAXIMIZING STUDENT DIVERSITY IN THE BIOMEDICAL SCIENCES AT WASHINGTON UNIVERSITYR25GM103757 · NIGMS · WASHINGTON UNIVERSITY · PI SKEATH, JAMES BENJAMIN · 2013 to 2022
$4.5M
STRUCTURAL, MECHANISTIC, & EVOLUTIONARY CHARACTERIZATION OF TETRACYCLINE DESTRUCTASESU01AI123394 · NIAID · WASHINGTON UNIVERSITY · PI DANTAS, GAUTAM, WENCEWICZ, TIMOTHY ADAM · 2020 to 2025
$4.1M
Tunable therapeutic modulation of the gut microbiome by engineered probioticsR01AT009741 · NCCIH · WASHINGTON UNIVERSITY · PI DANTAS, GAUTAM, MOON, TAE SEOK · 2018 to 2022
$3.5M
PHYLOGENOMIC, TRANSCRIPTOMIC, VIROMIC, AND IMMUNOPROTEOMIC DETERMINANTS OF NECROTIZING ENTEROCOLITISR01HD092414 · NICHD · WASHINGTON UNIVERSITY · PI DANTAS, GAUTAM, TARR, PHILLIP I · 2017 to 2021
$3.0M
STRUCTURAL, MECHANISTIC, & EVOLUTIONARY CHARACTERIZATION OF TETRACYCLINE DESTRUCTASESR01AI123394 · NIAID · WASHINGTON UNIVERSITY · PI DANTAS, GAUTAM, WENCEWICZ, TIMOTHY ADAM · 2016 to 2019
$2.7M
NCCIH NIH HHS R01 AT009741NIAID NIH HHS R01 AI123394NIAID NIH HHS U01 AI123394NICHD NIH HHS R01 HD092414NIGMS NIH HHS R25 GM103757
6 · The paper itself

Abstract

Immuno-oncology has rapidly grown in the last thirty years, and immunotherapeutic agents are now approved to treat many disparate cancers. Immune checkpoint inhibitors (ICIs) are employed to augment cytotoxic anti-cancer activity by inhibiting negative regulatory elements of the immune system. Modulating the immune system to target neoplasms has improved survivability of numerous cancers in many individuals, but forecasting outcomes post therapy is difficult due to insufficient predictive biomarkers. Recently, the tumor and gastrointestinal microbiome and immune milieu have been investigated as predictors and influencers of cancer immune therapy. In this review, we discuss: (1) ways to measure the microbiome including relevant bioinformatic analyses, (2) recent developments in animal studies and human clinical trials utilizing gut microbial composition and function as biomarkers of cancer immune therapy response and toxicity, and (3) using prebiotics, probiotics, postbiotics, antibiotics, and fecal microbiota transplant (FMT) to modulate immune therapy. We discuss the respective benefits of 16S ribosomal RNA (rRNA) gene and shotgun metagenomic sequencing including important considerations in obtaining samples and in designing and interpreting human and animal microbiome studies. We then focus on studies discussing the differences in response to ICIs in relation to the microbiome and inflammatory mediators. ICIs cause colitis in up to 25% of individuals, and colitis is often refractory to common immunosuppressive medications. Researchers have measured microbiota composition prior to ICI therapy and correlated baseline microbiota composition with efficacy and colitis. Certain bacterial taxa that appear to enhance therapeutic benefit are also implicated in increased susceptibility to colitis, alluding to a delicate balance between pro-inflammatory tumor killing and anti-inflammatory protection from colitis. Pre-clinical and clinical models have trialed probiotic administration, e.g.

Indexed as

ImmunotherapyMicrobiotaAnimalsClinical Trials as TopicFecal Microbiota TransplantationHumansNeoplasmsTreatment Outcomecancer immune therapyimmune checkpoint inhibitorsMicrobiomenext-generation sequencing

Identifiers

PMID31526274
PMCPMC6776419
OpenAlexW2973481987

What OpenQuestion holds

Textmetadata
LicenceTDM
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.