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Sökning: onr:"swepub:oai:prod.swepub.kib.ki.se:141329876" > Integrated targeted...

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FältnamnIndikatorerMetadata
00003097naa a2200409 4500
001oai:prod.swepub.kib.ki.se:141329876
003SwePub
008240701s2019 | |||||||||||000 ||eng|
024a http://kipublications.ki.se/Default.aspx?queryparsed=id:1413298762 URI
024a https://doi.org/10.1038/s41598-019-46634-62 DOI
040 a (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Gaiser, RA4 aut
2451 0a Integrated targeted metabolomic and lipidomic analysis: A novel approach to classifying early cystic precursors to invasive pancreatic cancer
264 c 2019-07-15
264 1b Springer Science and Business Media LLC,c 2019
520 a 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 selection of the best explanatory molecules. Over 1000 different compounds were identified in plasma and cyst fluid. IPMN profiles showed significant lipid pathway alterations compared to SCN. Integrated data modeling discriminated between IPMN and SCN with 100% accuracy and distinguished IPMN LGD or IPMN HGD and invasive cancer with up to 90.06% accuracy. Free fatty acids, ceramides, and triacylglycerol classes in plasma correlated with circulating levels of CA19-9, albumin and bilirubin. Integrated metabolomic and lipidomic analysis of plasma or cyst fluid can improve discrimination of IPMN from SCN and within PMNs predict the grade of dysplasia.
700a Pessia, A4 aut
700a Ateeb, Zu Karolinska Institutet4 aut
700a Davanian, H4 aut
700a Moro, CFu Karolinska Institutet4 aut
700a Alkharaan, H4 aut
700a Healy, K4 aut
700a Ghazi, Su Karolinska Institutet4 aut
700a Arnelo, Uu Karolinska Institutet4 aut
700a Valente, Ru Karolinska Institutet4 aut
700a Velagapudi, V4 aut
700a Chen, MSu Karolinska Institutet4 aut
700a Del Chiaro, M4 aut
710a Karolinska Institutet4 org
773t Scientific reportsd : Springer Science and Business Media LLCg 9:1, s. 10208-q 9:1<10208-x 2045-2322
856u https://www.nature.com/articles/s41598-019-46634-6.pdf
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:141329876
8564 8u https://doi.org/10.1038/s41598-019-46634-6

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