Evidence map›Paper›PMID 35875611›Full record

SynthesisOncotarget2022

Predicting cancer immunotherapy response from gut microbiomes using machine learning models.

Hai Liang, Jay-Hyun Jo, Zhiwei Zhang, Margaret A MacGibeny, Jungmin Han, Diana M Proctor, Monica E Taylor, You Che, Paul Juneau, Andrea B Apolo and 8 more

Open access · diamondAbstract readMeta-Analysis
In one paragraph

Synthesis in Oncotarget, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 38 citations in OpenAlex.

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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

18 authors at 8 institutions in 1 country.

Hai LiangDermatology Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Jay-Hyun JoDermatology Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Zhiwei ZhangBiostatistics Branch, Division of Cancer Treatment and Diagnostics, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
Margaret A MacGibenyDermatology Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Jungmin HanDermatology Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Diana M ProctorTranslational and Functional Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
Monica E TaylorDermatology Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
You CheDermatology Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Paul JuneauNIH Library, Division of Library Services, Office of Research Services, NIH, Bethesda, MD 20892, USA.
Andrea B ApoloGenitourinary Malignancies Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA.
John A McCullochGenetics and Microbiome Core, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA.
Diwakar DavarDepartment of Medicine and UPMC Hillman Cancer Center University of Pittsburgh, Pittsburgh, PA 15213, USA.
Hassane M ZarourDepartment of Medicine and UPMC Hillman Cancer Center University of Pittsburgh, Pittsburgh, PA 15213, USA.
Amiran K DzutsevLaboratory of Integrative Cancer Immunology, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA.
Isaac BrownellDermatology Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Giorgio TrinchieriLaboratory of Integrative Cancer Immunology, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA.
James L GulleyCenter for Immuno-Oncology, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA.
Heidi H KongDermatology Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Center for Cancer Research · USNational Institute of Arthritis and Musculoskeletal and Skin Diseases · USNational Institutes of Health · USUPMC Hillman Cancer Center · USNational Cancer Institute · USNational Human Genome Research Institute · USOffice of Research Services · USWest Virginia University · US

Funding

Clinical trials employing cancer vaccine combination therapiesZIABC010945 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GULLEY, JAMES L. · 2009 to 2022
$9.6M
Bladder Cancer ProgramZIABC011351 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI APOLO, ANDREA · 2010 to 2025
$9.4M
Studies of human microbes and potential perturbationsZIAAR041219 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI KONG, HEIDI · 2022 to 2025
$4.3M
Clinical treatment of advanced Merkel cell carcinomaZIAAR041223 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI BROWNELL, ISAAC · 2022 to 2025
$2.0M
Studies of Skin Microflora in Healthy Individuals and Atopic Dermatitis PatientsZIAAR041217 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI KONG, HEIDI · 2022 to 2023
$1.2M
Cellular TherapyZIABC012067 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GULLEY, JAMES L. · 2022 to 2022
$286k
6 · The paper itself

Abstract

Cancer immunotherapy has significantly improved patient survival. Yet, half of patients do not respond to immunotherapy. Gut microbiomes have been linked to clinical responsiveness of melanoma patients on immunotherapies; however, different taxa have been associated with response status with implicated taxa inconsistent between studies. We used a tumor-agnostic approach to find common gut microbiome features of response among immunotherapy patients with different advanced stage cancers. A combined meta-analysis of 16S rRNA gene sequencing data from our mixed tumor cohort and three published immunotherapy gut microbiome datasets from different melanoma patient cohorts found certain gut bacterial taxa correlated with immunotherapy response status regardless of tumor type. Using multivariate

Indexed as

Gastrointestinal MicrobiomeMelanomaBacteriaHumansImmunotherapyMachine LearningRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNAgut microbiomeimmunotherapymachine learningmetagenomics

Identifiers

PMID35875611
PMCPMC9295706
OpenAlexW4285799013

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.