Evidence map›Paper›PMID 24010963›Full record

ReviewPigment cell & melanoma research2013

Melanoma-associated leukoderma - immunology in black and white?

Hadas Prag Naveh, Uma N M Rao, Lisa H Butterfield

Open access · bronzeAbstract readReview
In one paragraph

Review in Pigment cell & melanoma research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

21 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Mendelian Randomization Analysis reveals Inverse Genetic Risks between Skin Cancers and Vitiligo.JID innovations : skin science from molecules to population health · 2023
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Melanoma and Vitiligo: In Good Company.International journal of molecular sciences · 2019
    Review
  15. Review
  16. Article
  17. HSP70iThe Journal of investigative dermatology · 2018
    Article
  18. Article
  19. Article
  20. Article
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

3 authors at 2 institutions in 1 country.

Hadas Prag NavehUniversity of Pittsburgh Cancer Institute, Pittsburgh, PA, USA; Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Uma N M Rao
Lisa H Butterfield
University of Pittsburgh · USUPMC Hillman Cancer Center · US

Funding

Therapuetic Immune Targeting of EphA2 Expressed by Melanoma & Its Tumor-AssociateP50CA121973 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KIRKWOOD, JOHN MUNN · 2008 to 2018
$22.9M
NCI NIH HHS P50 CA121973
6 · The paper itself

Abstract

Melanoma is an 'immunogenic tumor', often highly infiltrated with lymphocytes, which are capable of inducing regression of the primary tumor. The commonly observed phenomenon of regression suggests substantial cross-talk between immune cells and transformed melanocytes. An immune response to melanocyte differentiation antigens common to transformed and normal melanocytes manifests clinically at distant sites as melanoma-associated vitiligo or halo nevi. Despite similar antigenic targets, the pathogenesis and prognosis differ between the different melanoma-associated leukodermas. Understanding immunologic cross-talk between melanocytes and the immune system will aid the development of approaches to combat melanoma.

Indexed as

HumansHypopigmentationMelanocytesMelanomaNevusRemission InductionVitiligoimmunityleukodermamelanocytemelanomanevusvitiligo

Identifiers

PMID24010963
PMCPMC3855876
OpenAlexW2005207123

What OpenQuestion holds

Textmetadata
LicenceTDM
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.