Evidence map›Paper›PMID 24188633›Full record

ArticleJournal of translational medicine2013

Melanoma risk loci as determinants of melanoma recurrence and survival.

Justin Rendleman, Shulian Shang, Christine Dominianni, Jerry F Shields, Patrick Scanlon, Christina Adaniel, Alexis Desrichard, Michelle Ma, Richard Shapiro, Russell Berman and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Does a Multiple Myeloma Polygenic Risk Score Predict Overall Survival of Patients with Myeloma?Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Pooled it
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  14. Expanded molecular profiling of myxofibrosarcoma reveals potentially actionable targets.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2017
    Article
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  16. The Expression Quantitative Trait Loci in Immune Pathways and their Effect on Cutaneous Melanoma Prognosis.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
    Article
  17. Identification of a Novel Pathogenic Germline KDR Variant in Melanoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
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  18. Review
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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

15 authors at 2 institutions in 1 country.

Justin Rendleman
Shulian Shang
Christine Dominianni
Jerry F Shields
Patrick Scanlon
Christina Adaniel
Alexis Desrichard
Michelle Ma
Richard Shapiro
Russell Berman
Anna Pavlick
David Polsky
Yongzhao Shao
Iman Osman
Tomas KirchhoffNew York University Cancer Institute, New York University School of Medicine, New York, NY 10016, USA. tomas.kirchhoff@nyumc.org.
New York University · USEastern Cooperative Oncology Group · US

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADRIANA HEGUY · 1985 to 2026
$83.1M
NCI NIH HHS P30 CA016087
6 · The paper itself

Abstract

backgroundSteadily high melanoma mortality rates urge for the availability of novel biomarkers with a more personalized ability to predict melanoma clinical outcomes. Germline risk variants are promising candidates for this purpose; however, their prognostic potential in melanoma has never been systematically tested.

methodsWe examined the effect of 108 melanoma susceptibility single nucleotide polymorphisms (SNPs), associated in recent GWAS with melanoma and melanoma-related phenotypes, on recurrence-free survival (RFS) and overall survival (OS), in 891 prospectively accrued melanoma patients. Cox proportional hazards models (Cox PH) were used to test the associations between 108 melanoma risk SNPs and RFS and OS adjusted by age at diagnosis, gender, tumor stage, histological subtype and other primary tumor characteristics.

resultsWe identified significant associations for rs7538876 (RCC2) with RFS (HR=1.48, 95% CI=1.20-1.83, p=0.0005) and rs9960018 (DLGAP1) with both RFS and OS (HR=1.43, 95% CI=1.07-1.91, p=0.01, HR=1.52, 95% CI=1.09-2.12, p=0.01, respectively) using multivariable Cox PH models. In addition, we developed a logistic regression model that incorporates rs7538876, rs9960018, primary tumor histological type and stage at diagnosis that has an improved discriminatory ability to classify 3-year recurrence (AUC=82%) compared to histological type and stage alone (AUC=78%).

conclusionsWe identified associations between melanoma risk variants and melanoma outcomes. The significant associations observed for rs7538876 and rs9960018 suggest a biological implication of these loci in melanoma progression. The observed predictive patterns of associated variants with clinical end-points suggest for the first time the potential for utilization of genetic risk markers in melanoma prognostication.

Indexed as

Genetic Predisposition to DiseaseNeoplasm Recurrence, LocalQuantitative Trait LociFemaleGenome-Wide Association StudyHumansMaleMelanomaPolymorphism, Single NucleotideProportional Hazards ModelsSurvival Analysis

Identifiers

PMID24188633
PMCPMC4228352
OpenAlexW2160298919

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.