Evidence map›Paper›PMID 36032113›Full record

ReviewFrontiers in immunology2022

Using the canine microbiome to bridge translation of cancer immunotherapy from pre-clinical murine models to human clinical trials.

Kara T Kleber, Khurshid R Iranpur, Lauren M Perry, Sylvia M Cruz, Aryana M Razmara, William T N Culp, Michael S Kent, Jonathan A Eisen, Robert B Rebhun, Robert J Canter

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 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

10 authors at 2 institutions in 1 country.

Kara T KleberDivision of Surgical Oncology, Department of Surgery, University of California Davis Medical Center, Sacramento, CA, United States.
Khurshid R IranpurDivision of Surgical Oncology, Department of Surgery, University of California Davis Medical Center, Sacramento, CA, United States.
Lauren M PerryDivision of Surgical Oncology, Department of Surgery, University of California Davis Medical Center, Sacramento, CA, United States.
Sylvia M CruzDivision of Surgical Oncology, Department of Surgery, University of California Davis Medical Center, Sacramento, CA, United States.
Aryana M RazmaraSchool of Veterinary Medicine, University of California Davis, Sacramento, CA, United States.
William T N CulpCenter for Companion Animal Health Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California Davis, Davis, CA, United States.
Michael S KentCenter for Companion Animal Health Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California Davis, Davis, CA, United States.
Jonathan A EisenDepartment of Medical Microbiology and Immunology, University of California Davis, Davis, CA, United States.
Robert B RebhunCenter for Companion Animal Health Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California Davis, Davis, CA, United States.
Robert J CanterDivision of Surgical Oncology, Department of Surgery, University of California Davis Medical Center, Sacramento, CA, United States.
University of California Davis Medical Center · USUniversity of California, Davis · US

Funding

Gene Expression Analysis of Dog Natural Killer Cells Following Immunotherapy with Molecularly Targeted Radionuclide therapy or Inhaled IL-15U01CA224166 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CANTER, ROBERT J., MORRIS, ZACHARY SCOTT · 2017 to 2021
$3.0M
UC Davis Comparative Oncology Training ProgramT32CA251007 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Robert J. Canter, Xinbin Chen · 2020 to 2026
$1.8M
Gene Expression Analysis of Dog Natural Killer Cells as Immunotherapy TargetR03CA252793 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CANTER, ROBERT J. · 2021 to 2022
$157k
NCI NIH HHS R03 CA252793NCI NIH HHS T32 CA251007NCI NIH HHS U01 CA224166
6 · The paper itself

Abstract

The microbiome has clearly been established as a cutting-edge field in tumor immunology and immunotherapy. Growing evidence supports the role of the microbiome in immune surveillance, self-tolerance, and response to immune checkpoint inhibitors such as anti PD-L1 and CTLA-4 blockade (1-6). Moreover, recent studies including those using fecal microbial transplantation (FMT) have demonstrated that response to checkpoint immunotherapies may be conferred or eliminated through gut microbiome modulation (7, 8). Consequently, studies evaluating microbiota-host immune and metabolic interactions remain an area of high impact research. While observations in murine models have highlighted the importance of the microbiome in response to therapy, we lack sufficient understanding of the exact mechanisms underlying these interactions. Furthermore, mouse and human gut microbiome composition may be too dissimilar for discovery of all relevant gut microbial biomarkers. Multiple cancers in dogs, including lymphoma, high grade gliomas, melanomas and osteosarcoma (OSA) closely resemble their human analogues, particularly in regard to metastasis, disease recurrence and response to treatment. Importantly, dogs with these spontaneous cancers also have intact immune systems, suggesting that microbiome analyses in these subjects may provide high yield information, especially in the setting of novel immunotherapy regimens which are currently expanding rapidly in canine comparative oncology (9, 10). Additionally, as onco-microbiotic therapies are developed to modify gut microbiomes for maximal responsiveness, large animal models with intact immune systems will be useful for trialing interventions and monitoring adverse events. Together, pre-clinical mechanistic studies and large animal trials can help fully unlock the potential of the microbiome as a diagnostic and therapeutic target in cancer.

Indexed as

Bone NeoplasmsMicrobiotaAnimalsClinical Trials as TopicDisease Models, AnimalDogsHumansImmunologic FactorsImmunotherapyMiceNeoplasm Recurrence, LocalImmunologic Factorscancercaninescomparative oncologyimmunotherapymicrobiome

Identifiers

PMID36032113
PMCPMC9412231
OpenAlexW4291123453

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.