Evidence map›Paper›PMID 26892651›Full record

ReviewJournal of the American Academy of Dermatology2016

Hereditary melanoma: Update on syndromes and management: Emerging melanoma cancer complexes and genetic counseling.

Efthymia Soura, Philip J Eliades, Kristen Shannon, Alexander J Stratigos, Hensin Tsao

Abstract readReview
In one paragraph

Review in Journal of the American Academy of Dermatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.0field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 69 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Innate Immune Cells in Melanoma: Implications for Immunotherapy.International journal of molecular sciences · 2024
    Review
  5. High frequency of melanoma inTheranostics · 2024
    Article
  6. Article
  7. Article
  8. New Insights into Melanoma Tumor Syndromes.JID innovations : skin science from molecules to population health · 2022
    Review
  9. The spectrum of melanocytic nevi and their clinical implications.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2022
    Review
  10. Review
  11. Epidemiology and Risk Factors of Melanoma: A Review.Dermatology practical & conceptual · 2021
    Review
  12. The Impact of Longitudinal Surveillance on Tumor Thickness for Melanoma-Prone Families with and without Pathogenic Germline Variants ofCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 3 institutions in 2 countries.

Efthymia Soura1st Department of Dermatology, University Clinic, "Andreas Sygros" Hospital, Athens, Greece.
Philip J EliadesDepartment of Dermatology, Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, Massachusetts; Tufts University School of Medicine, Boston, Massachusetts.
Kristen ShannonMelanoma Genetics Program/MGH Cancer Center, Massachusetts General Hospital, Boston, Massachusetts.
Alexander J Stratigos1st Department of Dermatology, University Clinic, "Andreas Sygros" Hospital, Athens, Greece.
Hensin TsaoDepartment of Dermatology, Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, Massachusetts; Melanoma Genetics Program/MGH Cancer Center, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: htsao@partners.org.
Andreas Sygros Hospital · GRMassachusetts General Hospital · USTufts University · US

Funding

Molecular Risk Assessment in Hereditary MelanomaK24CA149202 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI TSAO, HENSIN · 2010 to 2019
$1.9M
NCI NIH HHS K24 CA149202
6 · The paper itself

Abstract

Recent advances in cancer genomics have enabled the discovery of many cancer-predisposing genes that are being used to classify new familial melanoma/cancer syndromes. In addition to CDKN2A and CDK4, germline variants in TERT, MITF, and BAP1 have been added to the list of genes harboring melanoma-predisposing mutations. These newer entities may have escaped earlier description in part because of more advanced technologies now being used and in part because of their mixed cancer phenotype as opposed to a melanoma-focused syndrome. Dermatologists should be aware of (and be able to recognize) the clinical signs in high-risk patients in different contexts. Personal and family histories of cancer should always be sought in patients with multiple nevi or a positive history for melanoma, and should be updated annually. Various features that are unique to specific disorders, such as the appearance of melanocytic BAP1-mutated atypical intradermal tumors in cases of BAP1 melanoma syndrome, should also be recognized early. These patients should be offered regular screenings with the use of dermoscopy and total body photography, as needed. More importantly, referral to other specialists may be needed if a risk for internal malignancy is suspected. It is important to have in mind that these patients tend to develop multiple melanomas, along with various internal organ malignancies, often at younger ages; a multidisciplinary approach to their cancer screening and treatment is ideal.

Indexed as

Genetic CounselingAlgorithmsHumansMelanomaMutationNeoplastic Syndromes, HereditaryRisk FactorsSkin NeoplasmsTelomereBAP1familial melanoma syndromemelanoma geneticsMITFmixed cancer syndromesPTENTERT

Identifiers

PMID26892651
PMCPMC4761106
OpenAlexW2274995855

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.