Proteotranscriptomic classification and characterization of pancreatic neuroendocrine neoplasms

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.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

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

Who archives the data?