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
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