Evidence map›Paper›PMID 28469092›Full record

ArticleJCI insight2017

Transcriptional dissection of melanoma identifies a high-risk subtype underlying TP53 family genes and epigenome deregulation.

Brateil Badal, Alexander Solovyov, Serena Di Cecilia, Joseph Minhow Chan, Li-Wei Chang, Ramiz Iqbal, Iraz T Aydin, Geena S Rajan, Chen Chen, Franco Abbate and 14 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

44 citing papers in PubMed, 68 citations in OpenAlex.

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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

24 authors at 6 institutions in 2 countries.

Brateil BadalDepartment of Pathology.
Alexander SolovyovDepartment of Pathology.
Serena Di CeciliaDepartment of Pathology.
Joseph Minhow ChanDepartment of Pathology.
Li-Wei ChangDepartment of Pathology.
Ramiz IqbalDepartment of Pathology.
Iraz T AydinDepartment of Pathology.
Geena S RajanDepartment of Pathology.
Chen ChenDepartment of Pathology.
Franco AbbateDepartment of Pathology.
Kshitij S AroraDepartment of Medicine, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts, USA.
Antoine TanneDepartment of Hematology and Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Stephen B GruberDepartment of Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
Timothy M JohnsonDepartment of Dermatology and.
Douglas R FullenDepartment of Pathology, University of Michigan, Ann Arbor, Michigan, USA.
Leon RaskinDepartment of Medicine, Vanderbilt University, Nashville, Tennessee, USA.
Robert PhelpsDepartment of Pathology.
Nina BhardwajDepartment of Hematology and Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Emily BernsteinDepartment of Dermatology.
David T TingDepartment of Medicine, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts, USA.
Georg BrunnerDepartment of Cancer Research, Fachklinik Hornheide, Munster, Germany.
Eric E SchadtDepartment of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Benjamin D GreenbaumDepartment of Pathology.
Julide Tok CelebiDepartment of Pathology.
Icahn School of Medicine at Mount Sinai · USHarvard University · USFachklinik Hornheide · DEUniversity of Michigan · USUniversity of Southern California · USVanderbilt University · US

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Deanna L Benson · 2015 to 2026
$35.4M
Scientific ReagentsP01CA087497 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PRIVES, CAROL · 2000 to 2021
$35.4M
Deciphering the tumor suppressive functions of macroH2AR01CA154683 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BERNSTEIN, EMILY · 2011 to 2021
$3.9M
NOTCH inhibition in melanomaR21CA177940 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CELEBI, JULIDE T. · 2014 to 2015
$406k
Dissecting the Melanoma GenomeR21CA158557 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CELEBI, JULIDE T. · 2012 to 2013
$367k
NCI NIH HHS P01 CA087497NCI NIH HHS P30 CA196521NCI NIH HHS R01 CA154683NCI NIH HHS R21 CA158557NCI NIH HHS R21 CA177940
6 · The paper itself

Abstract

backgroundMelanoma is a heterogeneous malignancy. We set out to identify the molecular underpinnings of high-risk melanomas, those that are likely to progress rapidly, metastasize, and result in poor outcomes.

methodsWe examined transcriptome changes from benign states to early-, intermediate-, and late-stage tumors using a set of 78 treatment-naive melanocytic tumors consisting of primary melanomas of the skin and benign melanocytic lesions. We utilized a next-generation sequencing platform that enabled a comprehensive analysis of protein-coding and -noncoding RNA transcripts.

resultsGene expression changes unequivocally discriminated between benign and malignant states, and a dual epigenetic and immune signature emerged defining this transition. To our knowledge, we discovered previously unrecognized melanoma subtypes. A high-risk primary melanoma subset was distinguished by a 122-epigenetic gene signature ("epigenetic" cluster) and TP53 family gene deregulation (TP53, TP63, and TP73). This subtype associated with poor overall survival and showed enrichment of cell cycle genes. Noncoding repetitive element transcripts (LINEs, SINEs, and ERVs) that can result in immunostimulatory signals recapitulating a state of "viral mimicry" were significantly repressed. The high-risk subtype and its poor predictive characteristics were validated in several independent cohorts. Additionally, primary melanomas distinguished by specific immune signatures ("immune" clusters) were identified.

conclusionThe TP53 family of genes and genes regulating the epigenetic machinery demonstrate strong prognostic and biological relevance during progression of early disease. Gene expression profiling of protein-coding and -noncoding RNA transcripts may be a better predictor for disease course in melanoma. This study outlines the transcriptional interplay of the cancer cell's epigenome with the immune milieu with potential for future therapeutic targeting.

fundingNational Institutes of Health (CA154683, CA158557, CA177940, CA087497-13), Tisch Cancer Institute, Melanoma Research Foundation, the Dow Family Charitable Foundation, and the Icahn School of Medicine at Mount Sinai.

Indexed as

DermatologyOncology

Identifiers

PMID28469092
PMCPMC5414564
OpenAlexW2611839159

What OpenQuestion holds

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Registered trials

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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.