Proteotranscriptomic classification and characterization of pancreatic neuroendocrine neoplasms

Study

Study ID	Alternative Stable ID	Type
EGAS00001005024		Other

Study Description

Pancreatic neuroendocrine neoplasms (PNENs) are biologically and clinically heterogeneous neoplasms. We used a multi-omics approach to uncover the molecular factors underlying this heterogeneity and derive a potential disease classification. Transcriptomic analysis of 84 primary PNEN specimens, drawn from two cohorts (n = 36 and 48), identified four subgroups with distinct molecular profiles. Whole-exome sequencing revealed subgroup-enriched mutational differences.

Study Datasets 3 datasets.

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Dataset ID	Description	Technology	Samples
EGAD00001006990	JAGuaR outputs from RNA-seq of 35 pancreatic neuroendocrine neoplasms. JAGuaR outputs from RNA-seq of 35 pancreatic neuroendocrine neoplasms.	Illumina HiSeq 2500	35
EGAD00001006991	STAR outputs from RNA-seq of 84 pancreatic neuroendocrine neoplasms, 10 normal islet samples and 4 cell line samples. STAR outputs from RNA-seq of 84 pancreatic neuroendocrine neoplasms, 10 normal islet samples and 4 cell line samples.	Illumina HiSeq 2500	98
EGAD00001006992	BWA outputs from whole-exome sequencing of 35 pancreatic neuroendocrine neoplasms. BWA outputs from whole-exome sequencing of 35 pancreatic neuroendocrine neoplasms.	Illumina HiSeq 2500	35

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