Browse
Submit Data
Databases
API
Help

Dataset Information

3 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Chromogranin A as Blood Marker in Cancer Patients

ABSTRACT: Gastroentero-pancreatic neuroendocrine tumors (GEP-NETs) are a heterogenous group of neoplasms that arise from enterochromaffin cells of the gastrointestinal (GI) tract and pancreas. They account for 50-70% of all incident NETs. Due to the lack of symptoms in the early stage of disease and the frequency of nonspecific GI symptoms, GEP-NETs are difficult to diagnose. Identification of effective biomarkers (such as Chromogranin A) to improve GEP-NET diagnosis, as well as to assess treatment efficacy, relapse and prognosis, is important for improving outcomes for patients with GEP-NETs. The purpose of this study is to validate the performance of Brahms (BRAHMS) Chromogranin A II Kryptor (KRYPTOR) assay to monitor the course of disease in patients with well-defined GEP-NETs.

DISEASE(S): Gastric Neoplasms,Colorectal Neoplasms,Pancreatic Neoplasms,Stomach Neoplasms,Intestinal Neoplasms,Neoplasms,Small Intestinal Neoplasms

PROVIDER: 2295412 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Json Xml

Similar Datasets

microRNA profiling in different grading of gastroenteropancreatic neuroendocrine tumors (GEP-NETs)

Project description:Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are rare and heterogeneous tumors presenting a wide spectrum of different clinical and biological characteristics. In these tumors, the histological evaluation is a crucial element of clinical management. Currently, tumor grading, determined by Ki-67 staining and mitotic counts, is the most reliable predictor of prognosis. This scoring method is time-consuming and a high reproducibility cannot be achieved. Novel approaches are needed to support histological evaluation and prognosis. In this study, starting from a microarray analysis, we defined the miRNAs signature for poorly differentiated NETs (G3) compared to well differentiated NETs (G1 and G2) consisting of 56 deregulated miRNAs. Moreover, we identified 8 miRNAs that were expressed in all GEP-NETs grades but at different level. Among these miRNAs, we found miR-96-5p that raised its expression levels from grade 1 to grade 3; inversely, its target FOXO1 was decrease from grade 1 to grade 3. Our results reveal that the miRNAs expression profile of GEP-NET correlates their expression with grading showing a potential advantage of miRNA quantification to aid clinicians in the classification of common GEP-NETs subtypes.

2020-08-04 | GSE135034 | GEO

MicroRNA expression profiling of small-intestine neuroendocrine tumors and human neuroendocrine tumor cell lines

Project description:Small intestinal neuroendocrine tumors (SI-NETs) arise from serotonin-producing enterochromaffin cells. SI-NETs are often well-differentiated tumors and most patients have regional or distant metastases at initial presentation. MicroRNAs (miRs) are post-transcriptional regulators which are important in diverse biological processes and can function as tumor suppressor genes or oncogenes. This study aims to identify an exclusive SI-NETs miR profile that may have a critical role in development, diagnosis, prognosis and progression of these malignancies. Five human NET cell lines, one octreotide-treated CNDT2.5 cells, one microdissected normal enterochromaffin cells, three snap-frozen normal ileum specimens and 15 SI-NET specimens at different stage of malignancy, five primary tumors, five mesentery metastases and five liver metastases, were included in this study. Total RNA was hybridized onto Affymetrix GeneChipM-BM-. miR arrays for genome-wide profiling. Array data summarization, normalization, and quality control were performed using miRNA QC Tool software.

2013-03-01 | E-GEOD-33568 | biostudies-arrayexpress

Expression profile of Gastro-Entero-Pancreatic Neuroendocrine Tumors (GEP-NET)

Project description:Expression profile of human GEP-NET tumors, including 113 fresh frozen biopsies of primary and metastatic tumours originating from pancreas (P-NET, 83 primary and 30 metastasis), 81 from small intestine (SI-NET, 44 primary and 37 metastasis), and 18 from rectum (RE-NET, 3 primary and 15 metastasis).

2018-02-25 | GSE98894 | GEO

microRNA expression of pancreatic tumors

Project description:Solid-pseudopapillary neoplasm of pancreas (SPN), ductal adenocarcinoma (PCA), neuroendocrine tumor (NET) and non-neoplastic pancreas. comparison with gene expression of tumors and non-tumors To investigate the specific microRNA expression of SPN compared to other types of pancreatic tumor, we analyzed large-scale microRNA expressioin analysis to identify the molecular signature that may affect SPN tumorigenesis with mRNA expression profiles. Differentially expressed microRNAs were analyzed on SPNs, PCAs, NETs and Non-neoplastic tissues.

2013-12-31 | E-GEOD-43796 | biostudies-arrayexpress

Gene expression of pancreatic tumors

2013-12-31 | GSE43795 | GEO

Gene expression of pancreatic tumors

Project description:Solid-pseudopapillary neoplasm of pancreas(SPN), ductal adenocarcinoma(PCA), neuroendocrine tumor(NET) and non-neoplastic pancreas. To investigate the specific gene expression of SPN compared to other types of pancreatic tumor, we analyzed large-scale gene expressioin analysis to identify the molecular signature that may affect SPN tumorigenesis. Differentially expressed genes were analyzed on SPNs, PCAs, NETs and Non-neoplastic tissues. Solid-pseudopapillary neoplasm (SPN) is an uncommon pancreatic tumor with distinct clinicopathologic features. SPNs are characterized by mutations in exon 3 of CTNNB1. However, little is known about the gene and microRNA expression profiles of SPNs. Thus, we sought to characterize SPN-specific gene expression and identify the signaling pathways activated in these tumors. The mRNA expression profile of 14 SPNs, 6 pancreatic adenocarcinomas (PCAs), 6 pancreatic neuroendocrine tumors (NETs), and five non-neoplastic pancreatic tissues were analyzed.

2013-12-31 | E-GEOD-43795 | biostudies-arrayexpress

MicroRNA expression profiling of small-intestine neuroendocrine tumors and human neuroendocrine tumor cell lines

2012-11-08 | E-MTAB-862 | biostudies-arrayexpress

RNA externalized by neutrophil extracellular traps promotes inflammatory pathways in endothelial cells

Project description:Abstract. Objectives: Neutrophil extracellular traps (NETs) are extracellular lattices composed of nucleic material bound to neutrophil granule proteins. NETs may play pathogenic roles in development and severity of autoimmune diseases such as systemic lupus erythematosus (SLE), at least in part, through induction of type I interferon (IFN) responses via externalization of oxidized immunostimulatory DNA. A distinct subset of SLE proinflammatory neutrophils (low density granulocytes; LDGs) displays enhanced ability to form proinflammatory NETs that damage the vasculature. We assessed whether NET-bound RNA can contribute to inflammatory responses in endothelial cells and the pathways that mediate this effect. Methods: Expression of newly-synthesized RNA was quantified if healthy control and lupus NETs. The ability of endothelial cells to take up NET-bound RNA and downstream induction of type I IFN responses was quantified. RNAs present in NETs were sequenced and specific small RNAs were tested for induction of endothelial type I IFN pathways. Results: NETs extruded newly-synthesized RNA that was internalized by endothelial cells and this was enhanced when NET nucleic acids were oxidized, particularly in lupus LDG NETs. Internalization of NET-bound total RNA by endothelial cells was dependent on endosomal TLRs and the actin cytoskeleton and induced type I IFN stimulated genes (ISGs). This ISG induction was dependent on NET-associated miR-let7b, a small RNA expressed at higher levels in LDG NETs, which acted as a TLR7 agonist. Conclusion: These results highlight underappreciated roles for small RNAs externalized in NETs in the induction of proinflammatory responses in vascular cells, with implications to lupus vasculopathy.

2023-07-31 | GSE160143 | GEO

Surgical Debulking Prior to Peptide Receptor Radionuclide Therapy in Well Differentiated Gastroenteropancreatic Neuroendocrine Tumors

Project description:This phase IV trial evaluates how well giving standard of care (SOC) peptide receptor radionuclide therapy (PRRT) after SOC surgical removal of as much tumor as possible (debulking surgery) works in treating patients with grade 1 or 2, somatostatin receptor (SSTR) positive, gastroenteropancreatic neuroendocrine tumors (GEP-NETs) that have spread from where they first started (primary site) to the liver (hepatic metastasis). Lutetium Lu 177 dotatate is a radioactive drug that uses targeted radiation to kill tumor cells. Lutetium Lu 177 dotatate includes a radioactive form (an isotope) of the element called lutetium. This radioactive isotope (Lu-177) is attached to a molecule called dotatate. On the surface of GEP-NET tumor cells, a receptor called a somatostatin receptor binds to dotatate. When this binding occurs, the lutetium Lu 177 dotatate drug then enters somatostatin receptor-positive tumor cells, and radiation emitted by Lu-177 helps kill the cells. Giving lutetium Lu 177 dotatate after surgical debulking may better treat patients with grade 1/2 GEP-NETs

| 90389 | ecrin-mdr-crc

RNA Sequencing reveals transcriptome profiling of HUVECs in response to NETs ± defibrotide

Project description:We reported the application of RNA sequecing to broadly understand the pathways associated with HUVECs exposed to vehicle, NETs, or NETs + defibrotide. We identified 440 differentially expressed genes (300 upregulated) in HUVECs upon NET stimulation as compared with vehicle. Conversely, there were 229 differentially expressed genes (192 downregulated) when the NETs + defibrotide group was compared to NETs alone.

2021-10-13 | GSE179828 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data