Cited by 41Gut microbiota and healthCancer Immunotherapy and BiomarkersCancer Research and Treatments

Gastrointestinal Tract Dysbiosis Enhances Distal Tumor Progression through Suppression of Leukocyte Trafficking

Open access
Jenkins, Samir V., Robeson, Michael S., Griffin, Robert J., Quick, Charles M., Siegel, Eric R., Cannon, Martin J., Vang, Kieng B., Dings, Ruud P.M.·2019·Cancer Research

Published version of a preprint

Abstract

Abstract The overall use of antibiotics has increased significantly in recent years. Besides fighting infections, antibiotics also alter the gut microbiota. Commensal bacteria in the gastrointestinal tract are crucial to maintain immune homeostasis, and microbial imbalance or dysbiosis affects disease susceptibility and progression. We hypothesized that antibiotic-induced dysbiosis of the gut microbiota would suppress cytokine profiles in the host, thereby leading to changes in the tumor microenvironment. The induced dysbiosis was characterized by alterations in bacterial abundance, composition, and diversity in our animal models. On the host side, antibiotic-induced dysbiosis caused elongated small intestines and ceca, and B16-F10 melanoma and Lewis lung carcinoma progressed more quickly than in control mice. Mechanistic studies revealed that this progression was mediated by suppressed TNFα levels, both locally and systemically, resulting in reduced expression of tumor endothelial adhesion molecules, particularly intercellular adhesion molecule-1 (ICAM-1) and a subsequent decrease in the number of activated and effector CD8+ T cells in the tumor. However, suppression of ICAM-1 or its binding site, the alpha subunit of lymphocyte function-associated antigen-1, was not seen in the spleen or thymus during dysbiosis. TNFα supplementation in dysbiotic mice was able to increase ICAM-1 expression and leukocyte trafficking into the tumor. Overall, these results demonstrate the importance of commensal bacteria in supporting anticancer immune surveillance, define an important role of tumor endothelial cells within this process, and suggest adverse consequences of antibiotics on cancer control. Significance: Antibiotic-induced dysbiosis enhances distal tumor progression by altering host cytokine levels, resulting in suppression of tumor endothelial adhesion molecules and activated and effector CD8+ T cells in the tumor.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1158/0008-5472.can-18-4108

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • As a consequence of antibiotics-induced dysbiosis, the number of activated CD8+ T cells decreased.

    “As a consequence, the number of activated CD8+T cells decreased [37].”

    From Gut microbiota-mediated immunomodulation in tumor (2021) · cites this paper as [37]

  • Antibiotics-induced dysbiosis promoted tumor growth via a suppressed level of TNF-α and a subsequent decrease in tumor endothelial adhesion molecules, especially intercellular adhesion molecule 1 (ICAM-1).

    “In contrast, antibiotics-induced dysbiosis promoted tumor growth via a suppressed level of TNF-α and a subsequent decrease in tumor endothelial adhesion molecules, especially intercellular adhesion molecule 1 (ICAM-1).”

    From Gut microbiota-mediated immunomodulation in tumor (2021) · cites this paper as [37]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Jenkins, S. V., Robeson, M. S., Griffin, R. J., Quick, C. M., Siegel, E. R., Cannon, M. J., Vang, K. B., & Dings, R. P. M.
Affiliations
  • University of Arkansas for Medical Sciences (US)
  • University of Arkansas at Little Rock (US)
Corresponding author
Dings, Ruud P.M.
Venue
Cancer Research
Published
2019-12-01
Volume
79
Issue
23
Pages
5999-6009
ISSN
  • 0008-5472 (ISSN-L)
  • 1538-7445
OpenAlex
W2978260485
Cited by
41
References
49
Citations by year
2026: 5 · 2025: 5 · 2024: 5 · 2023: 8 · 2022: 3 · 2021: 12 · 2020: 3
FWCI
1.49
Type
journal article
Language
en
Open access
Locations
  • Cancer Research (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • HHS | NIH | National Institute of General Medical Sciences (P20GM103625)
  • National Science Foundation (OIA-1457888)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biotechnology › Cancer Research and Treatments
Keywords
gut dysbiosis, antibiotic-induced dysbiosis, leukocyte migration, TNF-α, ICAM-1, LFA-1, tumor endothelial cells, CD8+ T cells, tumor microenvironment, B16F10 melanoma, Lewis lung carcinoma, commensal bacteria, cytokine profile
MeSH terms
Gastrointestinal Microbiome, Animals, Anti-Bacterial Agents, Endothelium, Melanoma, Experimental, Tumor Necrosis Factor-alpha, Lymphocytes, Tumor-Infiltrating, CD8-Positive T-Lymphocytes, Disease Progression, Intercellular Adhesion Molecule-1, Carcinoma, Lewis Lung, Mice, Dysbiosis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review