Usefulness of MALDI-TOF/MS identification of low-MW fragments in sera for the differential diagnosis of pancreatic cancer
Autor: | Mario Plebani, Giovanni de Manzoni, Luigi Cristadoro, Andrea Padoan, Daniela Basso, Eliana Greco, Sergio Pedrazzoli, Girolamo Pavanello, Alberto Marchet, Alda Di Chiara, Filippo Navaglia, Paola Fogar, Cosimo Sperti, Donato Nitti, Roberta Seraglia, Stefania Moz, Carlo-Federico Zambon |
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Jazyk: | angličtina |
Rok vydání: | 2013 |
Předmět: |
Male
Pathology endocrine system diseases Endocrinology Diabetes and Metabolism pancreatic cancer Chronic gastritis Gastroenterology Endocrinology mass spectrometry biology pancreatic neoplasms complement C3 Middle Aged Gastritis diabetes mellitus Female Biomarkers medicine.medical_specialty CA-19-9 Antigen Diagnosis Differential Stomach Neoplasms Pancreatic cancer Diabetes mellitus Internal medicine Pancreatitis Chronic Internal Medicine medicine Biomarkers Tumor Humans apolipoprotein-A1 Paca Aged Hepatology Apolipoprotein A-I business.industry pancreatic neoplasms diabetes mellitus apolipoprotein-A1 complement C3 gastric cancer mass spectrometry gastric cancer Cancer medicine.disease biology.organism_classification Peptide Fragments Molecular Weight Matrix-assisted laser desorption/ionization Clusterin Diabetes Mellitus Type 2 Case-Control Studies Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Pancreatitis Differential diagnosis business |
Zdroj: | Pancreas (Online) 42 (2013): 622–632. doi:10.1097/MPA.0b013e318273096c info:cnr-pdr/source/autori: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./titolo:Usefulness of MALDI-TOF%2FMS identification of low-MW fragments in sera for the differential diagnosis of pancreatic cancer/doi:10.1097%2FMPA.0b013e318273096c/rivista:Pancreas (Online)/anno:2013/pagina_da:622/pagina_a:632/intervallo_pagine:622–632/volume:42 |
DOI: | 10.1097/MPA.0b013e318273096c |
Popis: | 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. |
Databáze: | OpenAIRE |
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