779cd18e-7aae-4cd6-93ac-523dd3769b94 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001006992 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:JAGuaR outputs from RNA-seq of 35 pancreatic neuroendocrine neoplasms.
| EGAD00001006990 | EGA
Project description:STAR outputs from RNA-seq of 84 pancreatic neuroendocrine neoplasms, 10 normal islet samples and 4 cell line samples.
| EGAD00001006991 | EGA
Project description:Pancreatic neuroendocrine neoplasms (PNENs) are biologically and clinically heterogeneous neoplasms. We used quantitative global proteomic analysis on 40 PNENs to compliment paired transcriptome data.
2021-11-30 | PXD024175 | Pride
Project description:Neuroendocrine neoplasms of the gallbladder and liver occur rarely in dogs and humans. A recent reclassification of human neuroendocrine neoplasms by the World Health Organization has refined categorization of these tumors by morphology, replicative indices, and molecular signatures. In humans, these factors correlate with survival outcomes. Improved characterization of these tumors is needed in dogs to identify diagnostic biomarkers and determine therapeutic strategies. To achieve this objective, the proteome of 3 canine hepatobiliary neoplasms was compared to normal canine adrenal and liver tissue from formalin-fixed paraffin-embedded samples. Thirty-two upregulated and 121 downregulated differentially expressed proteins were identified in the hepatobiliary neuroendocrine neoplasm samples. Among the upregulated proteins is galectin-1, a multivalent carbohydrate binding protein known to play a role in lung and pancreatic neuroendocrine neoplasia development and progression in humans. Drugs targeting the galectin family have shown promise as anticancer therapeutics in cervical cancer, prostate cancer, lung and pancreatic neuroendocrine neoplasia in human medicine. Galectin-1 may represent a novel treatment target in hepatobiliary neuroendocrine neoplasia in both humans and dogs.
2023-03-11 | PXD028822 | Pride
Project description:whole Exome Sequencing of Pancreatic Neuroendocrine Tumors
| PRJNA276394 | ENA
Project description:whole Exome Sequencing of Pancreatic Neuroendocrine Tumors
| PRJNA276395 | ENA
Project description:We recently identified recurrent mutations of cohesin complex in myeloid neoplasms through whole-exome sequencing analysis. In this study, we performed SNP array analysis to detect abnormal copy number of the cohesin genes.
2013-07-16 | GSE47682 | GEO
Project description:<p>Pancreatic neuroendocrine tumors (PNETs), often referred to as "islet cell tumors", are neuroendocrine neoplasms that arise from cells of the endocrine and nervous system within the pancreas. These rare tumors which originate from the pancreatic islet are divided into many categories and are often classified by the hormone most strongly secreted. With the collaboration of the Elkins Pancreatic Center, the Human Genome Sequencing Center (HGSC) at Baylor College of Medicine had access to approximately 30 untreated tumor specimens and matched normal blood samples. Since the onset and progression of cancer is driven by extensive mutation of the genome, we are combining enrichment of exonic DNA with next generation sequencing to detect and characterize the somatic mutation profile of patients with pancreatic neuroendocrine cancer.</p> <p>This work was done at the Human Genome Sequencing Center (HGSC) in collaboration with the Elkins Pancreatic Center at Baylor College of Medicine in Houston, TX and was supported by grant number 5U54HG003273 from National Human Genome Research Institute (NHGRI).</p>
| phs000871 | dbGaP
Project description:Small intestine neuroendocrine tumors are the commonest neuroendocrine tumors of the GI tract. Next gen sequencing of the whole exome was undertaken to identify SNPs and SCNA in these tumor samples. Subsequent bioinformatic anlaysis was done where the reads ratios of tumor/normal were log2 tranformed, segments indentified with DNAcopy (R package) and regions of SCNA were identified. Amplification of chr 4, 5, 14 and 20 was observed. The validation of these SCNAs was done with arrayCGH. The results of array CGH is in concordeance with the exome sequencing data. DNA from matched tumor and normal sample of SI-NETs was done by spin column method. Libraries were constructed and exome enriched for next gen sequencing. The same gDNA was hybridized with Cy5 and Cy3 and subsequent analysis was done. This study represents the CGH portion of the study.
2013-03-16 | E-GEOD-45190 | biostudies-arrayexpress