http://www.cnr.it/ontology/cnr/individuo/prodotto/ID301770
Usefulness of MALDI-TOF/MS identification of low-MW fragments in sera for the differential diagnosis of pancreatic cancer (Articolo in rivista)
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- Usefulness of MALDI-TOF/MS identification of low-MW fragments in sera for the differential diagnosis of pancreatic cancer (Articolo in rivista) (literal)
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- 2013-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1097/MPA.0b013e318273096c (literal)
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- Padoan A.; Seraglia R.; Basso D.; Fogar P.; Sperti C.; Moz S.; Greco E.; Marchet A.; De Manzoni G.; Zambon C.-F.; Navaglia F.; Cristadoro L.; Di Chiara A.; Nitti D.; Pedrazzoli S.; Pavanello G.; Plebani M. (literal)
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- 1,3,4,6,7,10,11 : Department of Laboratory Medicine, University of Padova, University-Hospital of Padova, Via Giustiniani , 35128 Padova, Italy
2 : CNR-ISTM, University of Padova, Padova, Italy /
5,8,14,15,17 : Departments of Surgical Oncological and Gastroenterological Sciences (DiSCOG), University of Padova, Padova, Italy /
10,17 : Departments of Medicine (DIMED), University of Padova, Padova, Italy /
9 : First Division of General Surgery, University of Verona, Verona, Italy /
12 : General Surgery, Pieve di Coriano Hospital, Mantova, Italy /
13,16 : SIPRES, Gruppo Pavanello, Padova, Italy (literal)
- Titolo
- Usefulness of MALDI-TOF/MS identification of low-MW fragments in sera for the differential diagnosis of pancreatic cancer (literal)
- Abstract
- OBJECTIVES: To identify new biomarkers of pancreatic cancer (PaCa), we performed MALDI-TOF/MS analysis of sera from 22 controls, 51 PaCa, 37 chronic pancreatitis, 24 type II diabetes mellitus (DM), 29 gastric cancer (GC), and 24 chronic gastritis (CG). METHODS: Sera were purified by Sep-Pak C18 before MALDI-TOF/MS Anchorchip analysis. RESULTS: Features present in at least 5% of all spectra were selected (n = 160, m/z range, 1200-5000). At univariate analysis, 2 features (m/z 2049 and 2305) correlated with PaCa, 3 (m/z 1449, 1605, and 2006) with DM. No feature characterized gastric cancer or chronic gastritis. Ten-fold cross-validation binary recursive partitioning trees were obtained for patients' classification. The tree (CA 19-9, age, m/z 2006, 2599, 2753, and 4997), built considering only patients with diabetes, allowed a distinction between DM [area under the receiver operating characteristic curve (AUC), 0.997], chronic pancreatitis (AUC, 0.968), and PaCa (AUC, 0.980), with an overall correct classification rate of 89%. The tree including CA 19-9, 1550, and 2937 m/z features, achieved an AUC of 0.970 in distinguishing localized from advanced PaCa. MALDI-TOF-TOF analysis revealed the 1550 feature as a fragment of Apo-A1, which was determined as whole protein and demonstrated to be closely correlated with PaCa. CONCLUSIONS: The findings made demonstrate a role for serum peptides identified using MALDI-TOF/MS for addressing PaCa diagnosis. Copyright © 2013 Lippincott Williams & Wilkins. (literal)
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