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Citations to this article

Transcriptional dissection of melanoma identifies a high-risk subtype underlying TP53 family genes and epigenome deregulation
Brateil Badal, … , Benjamin D. Greenbaum, Julide Tok Celebi
Brateil Badal, … , Benjamin D. Greenbaum, Julide Tok Celebi
Published May 4, 2017
Citation Information: JCI Insight. 2017;2(9):e92102. https://doi.org/10.1172/jci.insight.92102.
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Clinical Research and Public Health Dermatology Oncology

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

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Abstract

BACKGROUND. Melanoma 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.

METHODS. We 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.

RESULTS. Gene 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.

CONCLUSION. The 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.

FUNDING. National 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.

Authors

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, Kshitij S. Arora, Antoine Tanne, Stephen B. Gruber, Timothy M. Johnson, Douglas R. Fullen, Leon Raskin, Robert Phelps, Nina Bhardwaj, Emily Bernstein, David T. Ting, Georg Brunner, Eric E. Schadt, Benjamin D. Greenbaum, Julide Tok Celebi

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Total citations by year

Year: 2025 2024 2023 2022 2021 2020 2019 2018 2017 Total
Citations: 3 4 3 6 8 4 3 7 1 39
Citation information
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Citations to this article in year 2021 (8)

Title and authors Publication Year
Exploration of the Prognostic and Immunotherapeutic Value of B and T Lymphocyte Attenuator in Skin Cutaneous Melanoma
X Dong, J Song, B Chen, Y Qi, W Jiang, H Li, D Zheng, Y Wang, X Zhang, H Liu
Frontiers in Oncology 2021
Pyroptosis-Related Gene Signatures Can Robustly Diagnose Skin Cutaneous Melanoma and Predict the Prognosis
A Ju, J Tang, S Chen, Y Fu, Y Luo
Frontiers in Oncology 2021
L Antigen Family Member 3 Serves as a Prognostic Biomarker for the Clinical Outcome and Immune Infiltration in Skin Cutaneous Melanoma
J Song, C Jin, E Chen, X Dong, L Zhu, SS Abdalla
BioMed Research International 2021
Expression of OPN3 in acral lentiginous melanoma and its associated with clinicohistopathologic features and prognosis
W Zeng, W Zhang, J Feng, X He, H Lu
Immunity, Inflammation and Disease 2021
CDK7 and MITF repress a transcription program involved in survival and drug tolerance in melanoma
P Berico, M Cigrang, G Davidson, C Braun, J Sandoz, S Legras, BH Vokshi, N Slovic, F Peyresaubes, CM Robles, JM Egly, E Compe, I Davidson, F Coin
EMBO reports 2021
Identification of subtypes correlated with tumor immunity and immunotherapy in cutaneous melanoma
Q Liu, R Nie, M Li, L Li, H Zhou, H Lu, X Wang
Computational and Structural Biotechnology Journal 2021
JAML promotes CD8 and γδ T cell antitumor immunity and is a novel target for cancer immunotherapy
JM McGraw, F Thelen, EN Hampton, NE Bruno, TS Young, WL Havran, DA Witherden
Journal of Experimental Medicine 2021
Transcriptional profile and chromatin accessibility in zebrafish melanocytes and melanoma tumors
E Kramer, P Godoy, C Kaufman, B Andrews
G3: Genes|Genomes|Genetics 2021

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