Proteotranscriptomic classification and characterization of pancreatic neuroendocrine neoplasms

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.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

3 Datasets 2 Publications

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

Publications	Citations
Protocol for analysis of RNA-sequencing and proteome profiling data for subgroup identification and comparison. Yang KC, Gorski SM. STAR Protoc 3: 2022 101283	1
FOXA2-initiated transcriptional activation of INHBA induced by methylmalonic acid promotes pancreatic neuroendocrine neoplasm progression. Hu C, Ye M, Bai J, Liu P, Lu F, Chen J, Xu Y, Yan L, Yu P, Xiao Z, Gu D, Xu L, Tian Y, Tang Q. Cell Mol Life Sci 81: 2024 50	0