RNA-seq analysis identifies different transcriptomic types and developmental trajectories of primary melanomas. Issue 47 (22nd November 2018)
- Record Type:
- Journal Article
- Title:
- RNA-seq analysis identifies different transcriptomic types and developmental trajectories of primary melanomas. Issue 47 (22nd November 2018)
- Main Title:
- RNA-seq analysis identifies different transcriptomic types and developmental trajectories of primary melanomas
- Authors:
- Kunz, Manfred
Löffler-Wirth, Henry
Dannemann, Michael
Willscher, Edith
Doose, Gero
Kelso, Janet
Kottek, Tina
Nickel, Birgit
Hopp, Lydia
Landsberg, Jenny
Hoffmann, Steve
Tüting, Thomas
Zigrino, Paola
Mauch, Cornelia
Utikal, Jochen
Ziemer, Mirjana
Schulze, Hans-Joachim
Hölzel, Michael
Roesch, Alexander
Kneitz, Susanne
Meierjohann, Svenja
Bosserhoff, Anja
Binder, Hans
Schartl, Manfred - Abstract:
- 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 ofNRAS mutations in M1 melanomas. N2/M2 lesions are characterized by inflammatory-type and AXL gene signatures with an equal distribution of wild-type and mutatedBRAF and low prevalence ofNRAS 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 cellAbstract 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 ofNRAS mutations in M1 melanomas. N2/M2 lesions are characterized by inflammatory-type and AXL gene signatures with an equal distribution of wild-type and mutatedBRAF and low prevalence ofNRAS 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. … (more)
- Is Part Of:
- Oncogene. Volume 37:Issue 47(2018)
- Journal:
- Oncogene
- Issue:
- Volume 37:Issue 47(2018)
- Issue Display:
- Volume 37, Issue 47 (2018)
- Year:
- 2018
- Volume:
- 37
- Issue:
- 47
- Issue Sort Value:
- 2018-0037-0047-0000
- Page Start:
- 6136
- Page End:
- 6151
- Publication Date:
- 2018-11-22
- Subjects:
- Oncogenes -- Periodicals
Oncogenes
Oncogenes -- Periodicals
Electronic journals
Periodicals
616.994042 - Journal URLs:
- http://www.nature.com/onc/index.html ↗
http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=0950-9232;screen=info;ECOIP ↗
http://www.intute.ac.uk/healthandlifesciences/cgi-bin/fullrecord.pl?handle=2013340 ↗
http://www.nature.com/ ↗ - DOI:
- 10.1038/s41388-018-0385-y ↗
- Languages:
- English
- ISSNs:
- 0950-9232
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6256.782000
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- 11150.xml