Study

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
EGAD00001006990
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.
Illumina HiSeq 2500 98
EGAD00001006992
BWA outputs from whole-exome sequencing of 35 pancreatic neuroendocrine neoplasms.
Illumina HiSeq 2500 35

Who archives the data?

There are no publications available