Evidence map›Paper›PMID 35454006›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Gut Microbial Shifts Indicate Melanoma Presence and Bacterial Interactions in a Murine Model.

Marco Rossi, Salvatore M Aspromonte, Frederick J Kohlhapp, Jenna H Newman, Alex Lemenze, Russell J Pepe, Samuel M DeFina, Nora L Herzog, Robert Donnelly, Timothy M Kuzel and 3 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
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

13 authors.

Marco RossiRush University Medical Center, Chicago, IL 60612, USA.ORCID 0000-0003-3996-8097
Salvatore M AspromonteRutgers Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA.ORCID 0000-0002-4216-4973
Frederick J KohlhappRutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA.
Jenna H NewmanRutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA.
Alex LemenzeRutgers New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ 07103, USA.
Russell J PepeRutgers Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA.
Samuel M DeFinaRutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA.ORCID 0000-0003-0583-1834
Nora L HerzogRutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA.ORCID 0000-0002-7813-2420
Robert DonnellyRutgers New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ 07103, USA.
Timothy M KuzelRush University Medical Center, Chicago, IL 60612, USA.ORCID 0000-0002-7523-2397
Jochen ReiserRush University Medical Center, Chicago, IL 60612, USA.
Jose A Guevara-PatinoMoffitt Cancer Center, Tampa, FL 33612, USA.
Andrew ZlozaRush University Medical Center, Chicago, IL 60612, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Through a multitude of studies, the gut microbiota has been recognized as a significant influencer of both homeostasis and pathophysiology. Certain microbial taxa can even affect treatments such as cancer immunotherapies, including the immune checkpoint blockade. These taxa can impact such processes both individually as well as collectively through mechanisms from quorum sensing to metabolite production. Due to this overarching presence of the gut microbiota in many physiological processes distal to the GI tract, we hypothesized that mice bearing tumors at extraintestinal sites would display a distinct intestinal microbial signature from non-tumor-bearing mice, and that such a signature would involve taxa that collectively shift with tumor presence. Microbial OTUs were determined from 16S rRNA genes isolated from the fecal samples of C57BL/6 mice challenged with either B16-F10 melanoma cells or PBS control and analyzed using QIIME. Relative proportions of bacteria were determined for each mouse and, using machine-learning approaches, significantly altered taxa and co-occurrence patterns between tumor- and non-tumor-bearing mice were found. Mice with a tumor had elevated proportions of

Indexed as

co-occurrence patternsgut microbiotamachine learningmelanomastatistical algorithms

Identifiers

PMID35454006
PMCPMC9029337

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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.