ReviewActa dermato-venereologica2020
Melanoma Genomics.
Review in Acta dermato-venereologica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 24 citations in OpenAlex.
- A Possible Link Between Cutaneous Melanoma and Uveal Melanoma: A Multicenter Retrospective Cohort Study.Cancers · 2026Article
- Exploring the Link Between PACAP Signalling and Hyaluronic Acid Production in Melanoma Progression.International journal of molecular sciences · 2025Article
- B lymphocytes and tertiary lymphoid structures have a prognostic impact on penile squamous cell carcinoma.The journal of pathology. Clinical research · 2025Article
- Antitumor effects of plasma‑activated solution on a murine melanoma modelOncology letters · 2025Article
- Paradigm of biomarkers in metastatic melanoma (Review).Oncology letters · 2025Review
- High charge of cerebroid nests in nodular melanomas predicts tumor aggressiveness and high mutational tumoral burden: a pilot study.Frontiers in oncology · 2024Article
- Article
- Aetiology and Pathogenesis of Cutaneous Melanoma: Current Concepts and Advances.International journal of molecular sciences · 2021Review
- Defining the Criteria for Reflex Testing forCancers · 2021Review
- Cutaneous Oncology: Strategies for Melanoma Prevention, Diagnosis, and Therapy.Cancer control : journal of the Moffitt Cancer CenterReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
The incidence of cutaneous melanoma continues to increase in pale skinned peoples in Europe and elsewhere. Epidemiological studies identified genetically determined phenotypes such as pale skin, freckles and red hair, and sunburn as risk factors for this cancer. The development of many melanocytic naevi is also genetically determined and a strong melanoma risk phenotype. Not surprisingly then, genome wide association studies have identified pigmentation genes as common risk genes, and to a lesser extent, genes associated with melanocytic naevi. More unexpectedly, genes associated with telomere length have also been identified as risk genes. Higher risk susceptibility genes have been identified, particularly CDKN2A as the most common cause, and very rarely genes such as CDK4, POT1, TERT and other genes in coding for proteins in the shelterin complex are found to be mutated. Familial melanoma genes are associated with an increased number of melanocytic naevi but not invariably and the atypical naevus phenotype is therefore an imperfect marker of gene carrier status. At a somatic level, the most common driver mutation is BRAF, second most common NRAS, third NF1 and increasing numbers of additional rarer mutations are being identified such as in TP53. It is of note that the BRAF and NRAS mutations are not C>T accepted as characteristic of ultraviolet light induced mutations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.