Uncultured bacterium strain:microbiome-homo sapiens | isolate:Pancreatic cyst fluid
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA357690 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5457700_1.fastq.gz | Fastqsanger.gz | |||
| SRR5457700_2.fastq.gz | Fastqsanger.gz | |||
| SRR5457710_1.fastq.gz | Fastqsanger.gz | |||
| SRR5457710_2.fastq.gz | Fastqsanger.gz | |||
| SRR5457720_1.fastq.gz | Fastqsanger.gz |
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Project description:Pancreatic cyst fluids constitutes a unique microbiological ecosystem
| PRJNA357690 | ENA
Project description:The pancreatic cyst fluids were collected using a syringe aspiration of the cyst fluid immediately after surgical resection of the lesion. The cyst fluid were then aliquoted and stored in -80C freezer until ready to use. We plan on performing untargeted metabolomics analysis on these pancreatic cyst fluid to find potential biomarkers that correlate with histopathological assessment and clinical behavior of these cystic lesions and thus to guide clinical management of patients.
2017-06-19 | ST000713 | MetabolomicsWorkbench
Project description:The pancreatic cyst fluids were collected using a syringe aspiration of the cyst fluid immediately after surgical resection of the lesion. The cyst fluid were then aliquoted and stored in -80C freezer until ready to use. We plan on performing untargeted metabolomics analysis and unknown lipid analysis and identification on these pancreatic cyst fluid to find potential biomarkers that correlate with histopathological assessment and clinical behavior of these cystic lesions and thus to guide clinical management of patients. Abbreviations: IPMN - Intraductal Pancreatic Mucinous Neoplasm; MCN - mucinous cystic neoplasm; SCA - serous cystadenoma.
2017-07-14 | ST000823 | MetabolomicsWorkbench
Project description:Intraductal papillary mucinous neoplasm (IPMN) is a benign tumor that grows within the pancreatic ducts characterized by the production of thick mucinous fluid by surrounding tumor cells. IPMN is the most important precursor lesion for pancreatic cancer that is the fourth most common cause of cancer deaths. Differentiating between low-grade dysplasia (LGD), high-grade dysplasia (HGD), and invasive intraductal papillary mucinous neoplasms (IPMNs) remains a diagnostic challenge with current biomarkers, necessitating the development of novel biomarkers that can distinguish IPMN malignancy. We investigated differentially expressed proteins among pancreatic cyst fluids consisted of LGD, HGD, and invasive IPMN patients by using our novel proteomic strategy, and finally we discovered pancreatic cyst fluid protein marker candidates that can predict the malignant potential of IPMNs.
2018-05-01 | PXD008302 | Pride
Project description:Determination of pancreatic cyst fluids (PCF) peptidome and proteome in 5 distinct patient groups: malignant (CAs), intraductal papillary mucinous neoplasms (IPMNs), mucinous cystic neoplasms (MCNs), serous cystic neoplasms (SCNs), and pseudocysts (PCs). The PCF <5kDa fraction, referred as the degradome, and proteome profiles were determined using a LTQ-Orbitrap Elite mass spectrometer coupled with a nanoAcquity LC system. Qualitative LC-MS/MS analyses were ran on pooled samples from all patients.
2019-01-14 | PXD005248 | Pride
Project description:The increased number of pancreatic cyst lesions (PCLs) have been detected through the development of abdominal imaging techniques, such as computed tomography (CT), magnetic resonance imaging (MRI), and endoscopic ultrasound (EUS). However, accurate classification of cystic lesions is difficult because of the lack of standardized diagnostic methods, and thus potentially unnecessary surgical resection has been performed on pancreatic cyst patients. Among four most common types of cystic lesions of pancreas, intraductal papillary mucinous neoplasms (IPMNs), mucinous cystic neoplasms (MCN), serous cystic neoplasms (SCN), and solid pseudopapillary neoplasms (SPNs), IPMNs, the precursor lesion of pancreatic cancer, have been detected most frequently, and are subdivided into low-grade dysplasia (LGD), high-grade dysplasia (HGD), and invasive IPMN in accordance with their malignancy. To discover the potential biomarkers of the histological grades of IPMN, we investigated pancreatic cyst fluid proteins that are differentially expressed in accordance with the IPMN malignancy by LC-MS/MS analysis.
2020-09-06 | PXD016127 | Pride
Project description:Differentiation between mucinous and non-mucinous pancreatic cysts is exceedingly important and challenging, particularly as the former bears malignant transformation potential. Pancreatic cyst fluid (PCF)-based diagnostics, including analyses of biochemical markers, as well as cytology, has shown inadequate accuracy. Herein, a preliminary single-center study of 22 PCF samples, collected by endoscopic ultrasound-guided fine needle aspiration (EUS-FNA), assessed the rheological behavior of PCF and its correlation with lesion type. The dependence of PCF shear viscosity on shear rate was found to follow a power law and could be fitted using Ostwald-de Waele model. Three types of flow curves were identified, where two types correlated with non-mucinous cysts, differing by their power law exponent, and the third type corresponding to mucinous cysts. Viscosity measured at a high shear rate was shown to serve as an accurate and independent marker distinguishing between mucinous and non-mucinous cysts, with an optimal cutoff value of ?c?=?1.3?cP The accuracy of this novel technique proved superior to string-sign, cytology, carcinoembryonic antigen, and amylase assessments. Moreover, the combined predictive value of ?c and patient age provided for sensitivity and specificity of 100% and 95.5%, respectively. This simple and rapid diagnostic tool can be immediately implemented after EUS-FNA sampling.
| S-EPMC5372360 | biostudies-literature
Project description:It is clear that specific intestinal bacteria are involved in the development of different premalignant conditions along the gastrointestinal tract. An analysis of the microbial constituents in the context of pancreatic cystic lesions has, however, as yet not been performed. This consideration prompted us to explore whether endoscopically obtained pancreatic cyst fluids (PCF) contain bacterial DNA and to determine the genera of bacteria present in such material.Total DNA was isolated from 69 PCF samples. Bacterial 16S rRNA gene-specific PCR was performed followed by Sanger sequencing and de novo deep sequencing for the V3-V4 variable region of 16S rRNA gene.We observed that 98.2% of the samples were positive in conventional PCR, and that 100% of selected PCF samples (n = 33) were positive for bacterial microbiota as determined by next generation sequencing (NGS). Comprehensive NGS data analysis of PCF showed the presence of 408 genera of bacteria, of which 17 bacterial genera were uniquely abundant to PCF, when compared to the Human Microbiome Project (HMP) database and 15 bacterial microbiota were uniquely abundant in HMP only. Bacteroides spp., Escherichia/Shigella spp., and Acidaminococcus spp. which were predominant in PCF, while also a substantial Staphylococcus spp. and Fusobacterium spp. component was detected.These results reveal and characterize an apparently specific bacterial ecosystem in pancreatic cyst fluid samples and may reflect the local microbiota in the pancreas. Some taxa with potential deleterious functions are present in the bacterial abundance profiles, suggesting that the unique microbiome in this specific niche may contribute to neoplastic processes in the pancreas. Further studies are needed to explore the intricate relationship between pathophysiological status in the host pancreas and its microbiota.
| S-EPMC5680603 | biostudies-literature
Project description:A 55-yr-old woman presented with abdominal bloating for approximately 1 year. Imaging studies showed a cyst in the body of the pancreas with proximal pancreatic ductal dilation. An endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) was performed. Cytologic findings from the cyst fluid were consistent with a mucinous neoplastic cyst, and the possibility of malignancy could not be entirely excluded. A KRAS mutation analysis was performed on the cyst fluid using the Idylla system and circulating tumor KRAS (ctKRAS) cartridge (Biocartis, Mechelen, Belgium), which tests for actionable mutations in exons 2, 3, and 4 of the KRAS gene. Idylla testing detected a KRAS G12D mutation in the cyst fluid. The patient subsequently underwent a distal subtotal pancreatectomy with splenectomy. Microscopic examination of the resected tissue revealed an intraductal papillary mucinous neoplasm (IPMN) with an associated invasive carcinoma. KRAS testing on the resected tumor tissue confirmed the G12D mutation detected in the cyst fluid earlier. The described rapid testing of KRAS directly from the pancreatic cyst fluid can complement cytology assessment to classify pancreatic cysts more reliably and can potentially be of significant help when other cyst findings are nondiagnostic.
| S-EPMC6549572 | biostudies-literature
Project description:Intraductal papillary mucinous neoplasm (IPMN) is a duct-dilating precancerous lesion that grows in pancreatic ducts and is accompanied by the production of mucinous fluid. In recent years, its cystic fluid has been used molecularly for the differential diagnosis of other cystic tumors and malignancies. Thus, proteomic research of IPMN cyst fluid must be performed to identify an effective diagnostic biomarker. We examined the IPMN cyst fluid proteome using a novel proteomic strategy, combined with high-resolution LC-MS/MS. Although we did not deplete any high-abundance proteins, our dataset consistently detected thousands of proteins including pancreatic tumor markers, such as mucin family members, S100 proteins, and CEA-related proteins. In addition, we found 590 protein mutations through a variant sequence database search. Bioinformatics analyses were performed to determine biological functions and clinical meanings of canonical IPMN proteins and mutated proteins. Our proteomic platform and in-depth proteome dataset are valuable references that can be used in future studies.
2017-08-22 | PXD005671 | Pride