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


ABSTRACT: Recent data suggest that Pancreatic Neuroendocrine Tumours (PanNETs) originate from ?- or ?-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 ?- and ?-cells. To confirm cell identity, we investigate ARX and PDX1 expression. Based on epigenetic similarities, PanNETs cluster in ?-like, ?-like and intermediate tumours. The epigenetic similarity to ?-cells progressively decreases in the intermediate tumours, which present unclear differentiation. Specific transcription factor methylation and expression vary in the respective ?/?-tumour groups. Depending on DNAme similarity to ?/?-cells, PanNETs have different mutational spectra, stage of the disease and prognosis, indicating potential means of PanNET progression.

SUBMITTER: Di Domenico A 

PROVIDER: S-EPMC7721725 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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

Di Domenico Annunziata A   Pipinikas Christodoulos P CP   Maire Renaud S RS   Bräutigam Konstantin K   Simillion Cedric C   Dettmer Matthias S MS   Vassella Erik E   Thirlwell Chrissie C   Perren Aurel A   Marinoni Ilaria I  

Communications biology 20201207 1


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 confi  ...[more]

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