{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["9(1)"],"submitter":["Gaiser RA"],"pubmed_abstract":["Pancreatic cystic neoplasms (PCNs) are a highly prevalent disease of the pancreas. Among PCNs, Intraductal Papillary Mucinous Neoplasms (IPMNs) are common lesions that may progress from low-grade dysplasia (LGD) through high-grade dysplasia (HGD) to invasive cancer. Accurate discrimination of IPMN-associated neoplastic grade is an unmet clinical need. Targeted (semi)quantitative analysis of 100 metabolites and >1000 lipid species were performed on peri-operative pancreatic cyst fluid and pre-operative plasma from IPMN and serous cystic neoplasm (SCN) patients in a pancreas resection cohort (n = 35). Profiles were correlated against histological diagnosis and clinical parameters after correction for confounding factors. Integrated data modeling was used for group classification and selectio"],"journal":["Scientific reports"],"pagination":["10208"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6629680"],"repository":["biostudies-literature"],"pubmed_title":["Integrated targeted metabolomic and lipidomic analysis: A novel approach to classifying early cystic precursors to invasive pancreatic cancer."],"pmcid":["PMC6629680"],"pubmed_authors":["Ghazi S","Gaiser RA","Valente R","Fernandez Moro C","Arnelo U","Ateeb Z","Alkharaan H","Sallberg Chen M","Pessia A","Del Chiaro M","Davanian H","Velagapudi V","Healy K"],"additional_accession":[]},"is_claimable":false,"name":"Integrated targeted metabolomic and lipidomic analysis: A novel approach to classifying early cystic precursors to invasive pancreatic cancer.","description":"Pancreatic cystic neoplasms (PCNs) are a highly prevalent disease of the pancreas. Among PCNs, Intraductal Papillary Mucinous Neoplasms (IPMNs) are common lesions that may progress from low-grade dysplasia (LGD) through high-grade dysplasia (HGD) to invasive cancer. Accurate discrimination of IPMN-associated neoplastic grade is an unmet clinical need. Targeted (semi)quantitative analysis of 100 metabolites and >1000 lipid species were performed on peri-operative pancreatic cyst fluid and pre-operative plasma from IPMN and serous cystic neoplasm (SCN) patients in a pancreas resection cohort (n = 35). Profiles were correlated against histological diagnosis and clinical parameters after correction for confounding factors. Integrated data modeling was used for group classification and selectio","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Jul","modification":"2025-04-04T21:27:09.595Z","creation":"2019-07-30T07:06:21Z"},"accession":"S-EPMC6629680","cross_references":{"pubmed":["31308419"],"doi":["10.1038/s41598-019-46634-6"]}}