Literature DB >> 29995873

RNA-seq analysis identifies different transcriptomic types and developmental trajectories of primary melanomas.

Manfred Kunz1, Henry Löffler-Wirth2, Michael Dannemann3, Edith Willscher2, Gero Doose2,4, Janet Kelso3, Tina Kottek5, Birgit Nickel3, Lydia Hopp2, Jenny Landsberg6, Steve Hoffmann2,4, Thomas Tüting7, Paola Zigrino8, Cornelia Mauch8, Jochen Utikal9, Mirjana Ziemer5, Hans-Joachim Schulze10, Michael Hölzel11, Alexander Roesch12, Susanne Kneitz13,14, Svenja Meierjohann13,14, Anja Bosserhoff15, Hans Binder2, Manfred Schartl13,14,16.   

Abstract

Recent studies revealed trajectories of mutational events in early melanomagenesis, but the accompanying changes in gene expression are far less understood. Therefore, we performed a comprehensive RNA-seq analysis of laser-microdissected melanocytic nevi (n = 23) and primary melanoma samples (n = 57) and characterized the molecular mechanisms of early melanoma development. Using self-organizing maps, unsupervised clustering, and analysis of pseudotime (PT) dynamics to identify evolutionary trajectories, we describe here two transcriptomic types of melanocytic nevi (N1 and N2) and primary melanomas (M1 and M2). N1/M1 lesions are characterized by pigmentation-type and MITF gene signatures, and a high prevalence of NRAS mutations in M1 melanomas. N2/M2 lesions are characterized by inflammatory-type and AXL gene signatures with an equal distribution of wild-type and mutated BRAF and low prevalence of NRAS mutations in M2 melanomas. Interestingly, N1 nevi and M1 melanomas and N2 nevi and M2 melanomas, respectively, cluster together, but there is no clustering in a stage-dependent manner. Transcriptional signatures of M1 melanomas harbor signatures of BRAF/MEK inhibitor resistance and M2 melanomas harbor signatures of anti-PD-1 antibody treatment resistance. Pseudotime dynamics of nevus and melanoma samples are suggestive for a switch-like immune-escape mechanism in melanoma development with downregulation of immune genes paralleled by an increasing expression of a cell cycle signature in late-stage melanomas. Taken together, the transcriptome analysis identifies gene signatures and mechanisms underlying development of melanoma in early and late stages with relevance for diagnostics and therapy.

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Year:  2018        PMID: 29995873     DOI: 10.1038/s41388-018-0385-y

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  49 in total

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