Evidence map›Paper›PMID 25871393›Full record

ArticleOncotarget2015

Independent replication of a melanoma subtype gene signature and evaluation of its prognostic value and biological correlates in a population cohort.

Jérémie Nsengimana, Jon Laye, Anastasia Filia, Christy Walker, Rosalyn Jewell, Joost J Van den Oord, Pascal Wolter, Poulam Patel, Antje Sucker, Dirk Schadendorf and 3 more

Open access · diamondAbstract readValidation Study
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 6% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

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  13. Transcriptomic Analysis Reveals Prognostic Molecular Signatures of Stage I Melanoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
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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

13 authors at 8 institutions in 4 countries.

Jérémie NsengimanaSection of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
Jon LayeSection of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
Anastasia FiliaNational Heart and Lung Institute, Imperial College, London, UK.
Christy WalkerSection of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
Rosalyn JewellYorkshire Regional Genetics Service, Chapel Allerton Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Joost J Van den OordDepartment of Pathology, University Hospitals Leuven, Leuven, Belgium.
Pascal WolterDepartment of General Medical Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium.
Poulam PatelSchool of Medicine, University of Nottingham, Nottingham, UK.
Antje SuckerDepartment of Dermatology, Essen University Hospital, Essen, and German Consortium of Translational Cancer Research (DKTK), Heidelberg, Germany.
Dirk SchadendorfDepartment of Dermatology, Essen University Hospital, Essen, and German Consortium of Translational Cancer Research (DKTK), Heidelberg, Germany.
Göran B JönssonDivision of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden.
D Timothy BishopSection of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
Julia Newton-BishopSection of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
University of Leeds · GBEuropean Organisation for Research and Treatment of Cancer · BEEssen University Hospital · DEImperial College London · GBKU Leuven · BELeeds Teaching Hospitals NHS Trust · GBLund University · SEUniversity of Nottingham · GB

Funding

Genetic Epidermiology of MelanomaR01CA083115 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BISHOP, DAVID TIMOTHY, ELDER, DAVID ERIC · 2001 to 2017
$13.0M
Cancer Research UK 10589Cancer Research UK 11963Cancer Research UK 19167Cancer Research UK C588/A19167Cancer Research UK C8216/A6129Medical Research Council G0802123Medical Research Council MR/L01629X/1NCI NIH HHS CA83115NCI NIH HHS R01 CA083115
6 · The paper itself

Abstract

Development and validation of robust molecular biomarkers has so far been limited in melanoma research. In this paper we used a large population-based cohort to replicate two published gene signatures for melanoma classification. We assessed the signatures prognostic value and explored their biological significance by correlating them with factors known to be associated with survival (vitamin D) or etiological routes (nevi, sun sensitivity and telomere length). Genomewide microarray gene expressions were profiled in 300 archived tumors (224 primaries, 76 secondaries). The two gene signatures classified up to 96% of our samples and showed strong correlation with melanoma specific survival (P=3 x 10(-4)), Breslow thickness (P=5 x 10(-10)), ulceration (P=9.x10-8) and mitotic rate (P=3 x 10(-7)), adding prognostic value over AJCC stage (adjusted hazard ratio 1.79, 95%CI 1.13-2.83), as previously reported. Furthermore, molecular subtypes were associated with season-adjusted serum vitamin D at diagnosis (P=0.04) and genetically predicted telomere length (P=0.03). Specifically, molecular high-grade tumors were more frequent in patients with lower vitamin D levels whereas high immune tumors came from patients with predicted shorter telomeres. Our data confirm the utility of molecular biomarkers in melanoma prognostic estimation using tiny archived specimens and shed light on biological mechanisms likely to impact on cancer initiation and progression.

Indexed as

Gene Expression ProfilingAdultAgedArea Under CurveBiomarkers, TumorDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansKaplan-Meier EstimateMaleMelanomaMiddle AgedNeoplasm GradingNeoplasm StagingBiomarkers, TumorVitamin DAJCC stagemolecular subtypeROC analysistelomere lengthvitamin D

Identifiers

PMID25871393
PMCPMC4484486
OpenAlexW1863484212

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.