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)
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 | Illumina HiSeq 2500 | 35 | |
| EGAD00001006991 | Illumina HiSeq 2500 | 98 | |
| EGAD00001006992 | Illumina HiSeq 2500 | 35 |
| Publications | Citations |
|---|---|
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Protocol for analysis of RNA-sequencing and proteome profiling data for subgroup identification and comparison.
STAR Protoc 3: 2022 101283 |
1 |
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FOXA2-initiated transcriptional activation of INHBA induced by methylmalonic acid promotes pancreatic neuroendocrine neoplasm progression.
Cell Mol Life Sci 81: 2024 50 |
0 |
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Small Extracellular Vesicle piR-hsa-30937 Derived from Pancreatic Neuroendocrine Neoplasms Upregulates CD276 in Macrophages to Promote Immune Evasion.
Cancer Immunol Res 12: 2024 840-853 |
0 |
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Proteogenomic characterization of pancreatic neuroendocrine tumors uncovers hypoxia and immune signatures in clinically aggressive subtypes.
iScience 27: 2024 110544 |
0 |