Epigenetic landscape of pancreatic neuroendocrine tumours reveals distinct cells of origin and means of tumour progression
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 c...
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| Veröffentlicht in: | Communications biology Jg. 3; H. 1; S. 740 - 11 |
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| Abstract | 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.
Di Domenico et al., provide a comprehensive assessment of DNA methylation in a large cohort of pancreatic neuroendocrine tumors. This work provides new insights into the epigenetic heterogeneity of the disease and cellular basis. |
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| AbstractList | 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.
Di Domenico et al., provide a comprehensive assessment of DNA methylation in a large cohort of pancreatic neuroendocrine tumors. This work provides new insights into the epigenetic heterogeneity of the disease and cellular basis. 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. Di Domenico et al., provide a comprehensive assessment of DNA methylation in a large cohort of pancreatic neuroendocrine tumors. This work provides new insights into the epigenetic heterogeneity of the disease and cellular basis. 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.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. 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. Di Domenico et al., provide a comprehensive assessment of DNA methylation in a large cohort of pancreatic neuroendocrine tumors. This work provides new insights into the epigenetic heterogeneity of the disease and cellular basis. |
| ArticleNumber | 740 |
| Author | Pipinikas, Christodoulos P. Maire, Renaud S. Di Domenico, Annunziata Thirlwell, Chrissie Vassella, Erik Marinoni, Ilaria Simillion, Cedric Dettmer, Matthias S. Perren, Aurel Bräutigam, Konstantin |
| Author_xml | – sequence: 1 givenname: Annunziata orcidid: 0000-0003-1433-4127 surname: Di Domenico fullname: Di Domenico, Annunziata organization: Institute of Pathology, University of Bern, Graduate School for Cellular and Biomedical Sciences, University of Bern – sequence: 2 givenname: Christodoulos P. surname: Pipinikas fullname: Pipinikas, Christodoulos P. organization: UCL Cancer Institute – sequence: 3 givenname: Renaud S. surname: Maire fullname: Maire, Renaud S. organization: Institute of Pathology, University of Bern – sequence: 4 givenname: Konstantin orcidid: 0000-0002-3966-3579 surname: Bräutigam fullname: Bräutigam, Konstantin organization: Institute of Pathology, University of Bern – sequence: 5 givenname: Cedric surname: Simillion fullname: Simillion, Cedric organization: Bioinformatics and Computational Biology, University of Bern – sequence: 6 givenname: Matthias S. orcidid: 0000-0003-0948-1392 surname: Dettmer fullname: Dettmer, Matthias S. organization: Institute of Pathology, University of Bern – sequence: 7 givenname: Erik surname: Vassella fullname: Vassella, Erik organization: Institute of Pathology, University of Bern – sequence: 8 givenname: Chrissie surname: Thirlwell fullname: Thirlwell, Chrissie organization: UCL Cancer Institute, University of Exeter, College of Medicine and Health, St Luke’s Campus – sequence: 9 givenname: Aurel orcidid: 0000-0002-6819-6092 surname: Perren fullname: Perren, Aurel organization: Institute of Pathology, University of Bern – sequence: 10 givenname: Ilaria surname: Marinoni fullname: Marinoni, Ilaria email: ilaria.marinoni@pathology.unibe.ch organization: Institute of Pathology, University of Bern |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33288854$$D View this record in MEDLINE/PubMed |
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| Snippet | Recent data suggest that Pancreatic Neuroendocrine Tumours (PanNETs) originate from α- or β-cells of the islets of Langerhans. The majority of PanNETs are... Di Domenico et al., provide a comprehensive assessment of DNA methylation in a large cohort of pancreatic neuroendocrine tumors. This work provides new... |
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| SubjectTerms | 13/51 45/22 45/43 45/61 631/337/176/1988 631/67/1459/1963 631/67/68/2486 Beta cells Biology Biomedical and Life Sciences Deoxyribonucleic acid DNA DNA Copy Number Variations DNA fingerprinting DNA methylation Epigenesis, Genetic Epigenetics Gene Expression Regulation, Neoplastic - physiology Genomes High-Throughput Nucleotide Sequencing Humans Islets of Langerhans Life Sciences Neuroendocrine tumors Neuroendocrine Tumors - genetics Neuroendocrine Tumors - metabolism Pancreas Pancreatic Neoplasms - genetics Pancreatic Neoplasms - metabolism |
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| Title | Epigenetic landscape of pancreatic neuroendocrine tumours reveals distinct cells of origin and means of tumour progression |
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