Evidence map›Paper›PMID 26091043›Full record

ArticleCell2015

Genomic Classification of Cutaneous Melanoma.

Cancer Genome Atlas Network

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,787 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,787citing papers in PubMed, 3 pooled it
130.0field-weighted citation impact, top 1% 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

1,787 citing papers in PubMed, 3 syntheses or guidelines pooled it, 3,200 citations in OpenAlex.

  1. Pooled it
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  18. Review
  19. Autocrine CysLTOncogene · 2026
    Article
  20. Unique Features of Melanoma Risk and Diagnosis in Red-Haired Populations.International journal of molecular sciences · 2026
    Review

1,727 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Cancer Genome Atlas Network
National Institutes of Health · US

Funding

Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
Large Scale Genome SequencingU54HG003079 · NHGRI · WASHINGTON UNIVERSITY · PI DUTCHER, SUSAN K · 2004 to 2016
$445.7M
X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
The Human Genome Sequencing CenterU54HG003273 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2004 to 2015
$341.3M
Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Yale SPORE in Skin CancerP50CA121974 · NCI · YALE UNIVERSITY · PI DAVID F STERN · 2006 to 2026
$43.9M
Gene Expression Patterns in Human Tumors Identified Using Transcript SequencingU24CA143848 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAYES, DAVID N, PEROU, CHARLES M · 2009 to 2016
$20.8M
Genome Characterization Center (GCC)U24CA143867 · NCI · BROAD INSTITUTE, INC. · PI GABRIEL, STACEY, MEYERSON, MATTHEW L. · 2009 to 2016
$17.0M
The Cancer Genome Atlas Data Analysis CenterU24CA143845 · NCI · BROAD INSTITUTE, INC. · PI CHIN, LYNDA, GETZ, GAD A · 2009 to 2016
$16.0M
Harvard Genome Characterization CenterU24CA144025 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI KUCHERLAPATI, RAJU S. · 2009 to 2016
$14.0M
Cancer Research UK 21141NCATS NIH HHS UL1 TR000005NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA121974NCI NIH HHS R01 CA163896NCI NIH HHS U24 CA143799NCI NIH HHS U24 CA143835NCI NIH HHS U24 CA143840NCI NIH HHS U24 CA143843NCI NIH HHS U24 CA143845NCI NIH HHS U24 CA143848NCI NIH HHS U24 CA143858NCI NIH HHS U24 CA143866NCI NIH HHS U24 CA143867NCI NIH HHS U24 CA143882NCI NIH HHS U24 CA143883NCI NIH HHS U24 CA144025NCI NIH HHS U24 CA180951NHGRI NIH HHS U54 HG003067NHGRI NIH HHS U54 HG003079NHGRI NIH HHS U54 HG003273NIGMS NIH HHS T32 GM007753
6 · The paper itself

Abstract

We describe the landscape of genomic alterations in cutaneous melanomas through DNA, RNA, and protein-based analysis of 333 primary and/or metastatic melanomas from 331 patients. We establish a framework for genomic classification into one of four subtypes based on the pattern of the most prevalent significantly mutated genes: mutant BRAF, mutant RAS, mutant NF1, and Triple-WT (wild-type). Integrative analysis reveals enrichment of KIT mutations and focal amplifications and complex structural rearrangements as a feature of the Triple-WT subtype. We found no significant outcome correlation with genomic classification, but samples assigned a transcriptomic subclass enriched for immune gene expression associated with lymphocyte infiltrate on pathology review and high LCK protein expression, a T cell marker, were associated with improved patient survival. This clinicopathological and multi-dimensional analysis suggests that the prognosis of melanoma patients with regional metastases is influenced by tumor stroma immunobiology, offering insights to further personalize therapeutic decision-making.

Indexed as

Databases, GeneticHumansMelanomaMutationNational Cancer Institute (U.S.)Skin NeoplasmsUnited States

Identifiers

PMID26091043
PMCPMC4580370
OpenAlexW1950829641

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.