Evidence map›Paper›PMID 27063077›Full record

ArticleMedical hypotheses2016

Melanoma exosomes enable tumor tolerance in lymph nodes.

Joshua L Hood

Abstract read
In one paragraph

Article in Medical hypotheses, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Exosome application in tumorigenesis: diagnosis and treatment of melanoma.Medical oncology (Northwood, London, England) · 2022
    Review
  5. Review
  6. Article
  7. Exosomes: Emerging Cell-Free Based Therapeutics in Dermatologic Diseases.Frontiers in cell and developmental biology · 2021
    Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Exosome mediated multidrug resistance in cancer.American journal of cancer research · 2018
    Review
  13. Article
  14. Review
  15. Article
  16. 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

1 author.

Joshua L HoodUniversity of Louisville, Department of Pharmacology and Toxicology and the James Graham Brown Cancer Center, Clinical and Translational Research Building, 505 South Hancock Street, Louisville, KY 40202, United States. Electronic address: joshua.hood@louisville.edu.

Funding

Continuous separation of melanoma exosomes using field-flow fractionationR21GM107894 · NIGMS · UNIVERSITY OF UTAH · PI GALE, BRUCE, HOOD, JOSHUA L. · 2013 to 2015
$575k
NIGMS NIH HHS 5R21GM107894-03NIGMS NIH HHS R21 GM107894
6 · The paper itself

Abstract

Melanoma preferentially spreads via lymph nodes. Melanoma exosomes can induce angiogenesis and immune suppression. However, a role for melanoma exosomes in facilitating tumor tolerance in lymph nodes has not been considered. Herein, the hypothesis that melanoma exosome mediated induction of vascular endothelial cell (VEC) derived tumor necrosis factor alpha (TNF-α) results in lymphatic endothelial cell (LEC) mediated tumor tolerance is explored. To support this hypothesis, experiments involving ex vivo lymph node associated VECs, LECs, dendritic cells and T lymphocytes are proposed based upon a previously established fluorescent exosome lymph node trafficking model. The implication of the hypothesis in the context of melanoma exosome mediated induction of tumor tolerance in lymph nodes is then discussed.

Indexed as

Models, ImmunologicalAntigens, NeoplasmDendritic CellsEndothelial CellsExosomesHumansLymphatic MetastasisLymph NodesMelanomaMelanoma, ExperimentalResearch DesignT-Lymphocyte SubsetsTumor EscapeTumor Necrosis Factor-alphaAntigens, NeoplasmTumor Necrosis Factor-alpha

Identifiers

PMID27063077
PMCPMC4829918

What OpenQuestion holds

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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.