Evidence map›Paper›PMID 33593881›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2021

A Uniform Computational Approach Improved on Existing Pipelines to Reveal Microbiome Biomarkers of Nonresponse to Immune Checkpoint Inhibitors.

Fyza Y Shaikh, James R White, Joell J Gills, Taiki Hakozaki, Corentin Richard, Bertrand Routy, Yusuke Okuma, Mykhaylo Usyk, Abhishek Pandey, Jeffrey S Weber and 5 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

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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

15 authors.

Fyza Y ShaikhThe Bloomberg-Kimmel Institute of Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland.
James R WhiteResphera Biosciences, Baltimore, Maryland.
Joell J GillsThe Bloomberg-Kimmel Institute of Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Taiki HakozakiDepartment of Thoracic Oncology and Respiratory Medicine, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Bunkyo City, Tokyo, Japan.ORCID 0000-0002-9980-4417
Corentin RichardUniversity of Montreal Research Center (CRCHUM), Montreal, Quebec.
Bertrand RoutyUniversity of Montreal Research Center (CRCHUM), Montreal, Quebec.
Yusuke OkumaDepartment of Thoracic Oncology and Respiratory Medicine, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Bunkyo City, Tokyo, Japan.ORCID 0000-0001-5743-0149
Mykhaylo UsykDepartment of Population Health, NYU School of Medicine, New York, New York.
Abhishek PandeyDepartment of Medicine, NYU School of Medicine, New York, New York.
Jeffrey S WeberDepartment of Medicine, NYU School of Medicine, New York, New York.
Jiyoung AhnDepartment of Population Health, NYU School of Medicine, New York, New York.
Evan J LipsonThe Bloomberg-Kimmel Institute of Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0003-2976-0911
Jarushka NaidooThe Bloomberg-Kimmel Institute of Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Drew M PardollThe Bloomberg-Kimmel Institute of Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0001-6215-1013
Cynthia L SearsThe Bloomberg-Kimmel Institute of Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, Maryland. csears@jhmi.edu.ORCID 0000-0003-4059-1661

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
ONCOLOGY: CHEMOTHERAPY, IMMUNOLOGY, BIOLOGYT32CA009071 · NCI · JOHNS HOPKINS UNIVERSITY · PI Mary Y Armanios, Nilofer S. Azad · 1985 to 2026
$12.8M
Project 4P50CA225450 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI OSMAN, IMAN, WEBER, JEFFREY S · 2019 to 2025
$12.5M
Institute for Clinical and Translational ResearchKL2TR001077 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$9.2M
NCATS NIH HHS KL2 TR001077NCI NIH HHS P30 CA006973NCI NIH HHS P50 CA225450NCI NIH HHS T32 CA009071
6 · The paper itself

Abstract

purposeWhile immune checkpoint inhibitors (ICI) have revolutionized the treatment of cancer by producing durable antitumor responses, only 10%-30% of treated patients respond and the ability to predict clinical benefit remains elusive. Several studies, small in size and using variable analytic methods, suggest the gut microbiome may be a novel, modifiable biomarker for tumor response rates, but the specific bacteria or bacterial communities putatively impacting ICI responses have been inconsistent across the studied populations. EXPERIMENTAL

designWe have reanalyzed the available raw 16S rRNA amplicon and metagenomic sequencing data across five recently published ICI studies (

resultsHerein, we identify novel bacterial signals associated with clinical responders (R) or nonresponders (NR) and develop an integrated microbiome prediction index. Unexpectedly, the NR-associated integrated index shows the strongest and most consistent signal using a random effects model and in a sensitivity and specificity analysis (

conclusionsOur analysis highlights the development of biomarkers for nonresponse, rather than response, in predicting ICI outcomes and suggests a new approach to identify patients who would benefit from microbiome-based interventions to improve response rates.

Indexed as

BiomarkersComputational BiologyBacteriaGastrointestinal MicrobiomeGenome, BacterialHumansImmune Checkpoint InhibitorsMetagenomicsMicrobiotaReproducibility of ResultsRNA, Ribosomal, 16SROC CurveWhole Genome SequencingBiomarkersImmune Checkpoint InhibitorsRNA, Ribosomal, 16S

Identifiers

PMID33593881
PMCPMC9053858

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.