Epigenetic landscape of pancreatic neuroendocrine tumours reveals distinct cells of origin and means of tumour progression.


Journal

Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179

Informations de publication

Date de publication:
07 12 2020
Historique:
received: 17 04 2020
accepted: 12 11 2020
entrez: 8 12 2020
pubmed: 9 12 2020
medline: 30 6 2021
Statut: epublish

Résumé

Recent data suggest that Pancreatic Neuroendocrine Tumours (PanNETs) originate from α- or β-cells of the islets of Langerhans. The majority of PanNETs are non-functional and do not express cell-type specific hormones. In the current study we examine whether tumour DNA methylation (DNAme) profiling combined with genomic data is able to identify cell of origin and to reveal pathways involved in PanNET progression. We analyse genome-wide DNAme data of 125 PanNETs and sorted α- and β-cells. To confirm cell identity, we investigate ARX and PDX1 expression. Based on epigenetic similarities, PanNETs cluster in α-like, β-like and intermediate tumours. The epigenetic similarity to α-cells progressively decreases in the intermediate tumours, which present unclear differentiation. Specific transcription factor methylation and expression vary in the respective α/β-tumour groups. Depending on DNAme similarity to α/β-cells, PanNETs have different mutational spectra, stage of the disease and prognosis, indicating potential means of PanNET progression.

Identifiants

pubmed: 33288854
doi: 10.1038/s42003-020-01479-y
pii: 10.1038/s42003-020-01479-y
pmc: PMC7721725
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

740

Subventions

Organisme : Swiss National Science Foundation
ID : PMPDP3_164484
Pays : Switzerland
Organisme : Cancer Research UK
Pays : United Kingdom

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Auteurs

Annunziata Di Domenico (A)

Institute of Pathology, University of Bern, Murtenstrasse 31, 3008, Bern, Switzerland.
Graduate School for Cellular and Biomedical Sciences, University of Bern, 3010, Bern, Switzerland.

Christodoulos P Pipinikas (CP)

UCL Cancer Institute, 72, Huntley Street, London, WC1E 6JD, UK.

Renaud S Maire (RS)

Institute of Pathology, University of Bern, Murtenstrasse 31, 3008, Bern, Switzerland.

Konstantin Bräutigam (K)

Institute of Pathology, University of Bern, Murtenstrasse 31, 3008, Bern, Switzerland.

Cedric Simillion (C)

Bioinformatics and Computational Biology, University of Bern, Baltzerstrasse 6, 3012, Bern, Switzerland.

Matthias S Dettmer (MS)

Institute of Pathology, University of Bern, Murtenstrasse 31, 3008, Bern, Switzerland.

Erik Vassella (E)

Institute of Pathology, University of Bern, Murtenstrasse 31, 3008, Bern, Switzerland.

Chrissie Thirlwell (C)

UCL Cancer Institute, 72, Huntley Street, London, WC1E 6JD, UK.
University of Exeter, College of Medicine and Health, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK.

Aurel Perren (A)

Institute of Pathology, University of Bern, Murtenstrasse 31, 3008, Bern, Switzerland.

Ilaria Marinoni (I)

Institute of Pathology, University of Bern, Murtenstrasse 31, 3008, Bern, Switzerland. ilaria.marinoni@pathology.unibe.ch.

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Classifications MeSH