title: Proteomic assessment of markers for malignancy in the mucus of intraductal papillary mucinous neoplasms of the pancreas.
abstract: OBJECTIVE
  Intraductal papillary mucinous neoplasms (IPMN) of the pancreas evolve from dysplasia to invasive adenocarcinoma. The aims of this study were to look for candidate protein profiles in IPMN mucus according to histological grade, using a differential proteomic technique, and to highlight protein peaks associated with malignant transformation.
  
  
  METHODS
  Forty-three mucus samples obtained from surgically resected IPMN and categorized as benign (low/moderate dysplasia) or malignant (severe dysplasia/invasive adenocarcinoma) in 21 and 22 patients, respectively. A surface-enhanced laser desorption ionization time-of-flight mass spectrometry was used to determine candidate protein expression profiles. Protein peaks that significantly differed between benign/malignant IPMN (area under curve > 0.88; P < 10; high intensity) were identified using adapted software.
  
  
  RESULTS
  Among 952 protein peaks, 31 were differentially expressed in benign/malignant IPMN (P < 0.001). Among them, 5 candidate proteins of interest (mass-to-charge ratio [m/z]: 5217, 6326, 6719, 10,453, and 10,849 d) were selected by their high diagnostic accuracy and ability to distinguish between malignant and benign tumors. No correlation was found between peak profiles and duct involvement.
  
  
  CONCLUSIONS
  Carcinogenic process in IPMN is associated with changes in mucus proteome with characteristic peaks that could be potential candidate biomarkers of malignancy.
  
  
  BACKGROUND
  IPMN - intraductal papillary mucinous neoplasm, EPC - extrapancreatic cancer, MRI - magnetic resonance imaging, ERCP - endoscopic retrograde cholangiopancreatography.
authors.affiliation: Service de Gastroentérologie et d'Assistance Nutritive, Hôpital Beaujon, France. olivier.corcos@bjn.aphp.fr
authors.forename: Olivier
authors.initials: O
authors.lastname: Corcos
authors.forename: Anne
authors.initials: A
authors.lastname: Couvelard
authors.forename: Delphine
authors.initials: D
authors.lastname: Dargère
authors.forename: Alain
authors.initials: A
authors.lastname: Sauvanet
authors.forename: Pascal
authors.initials: P
authors.lastname: Hammel
authors.forename: Valérie
authors.initials: V
authors.lastname: Paradis
authors.forename: Philippe
authors.initials: P
authors.lastname: Lévy
authors.forename: Philippe
authors.initials: P
authors.lastname: Ruszniewski
authors.forename: Pierre
authors.initials: P
authors.lastname: Bedossa
mesh_terms: D002288:Adenocarcinoma, Mucinous / Q000737:chemistry* / Q000473:pathology / Q000601:surgery; D000231:Adenocarcinoma, Papillary / Q000737:chemistry* / Q000473:pathology / Q000601:surgery; D014408:Biomarkers, Tumor / Q000032:analysis*; D021441:Carcinoma, Pancreatic Ductal / Q000737:chemistry* / Q000473:pathology / Q000601:surgery; D055088:Early Detection of Cancer; D005260:Female; D005602:France; D006801:Humans; D008297:Male; D008875:Middle Aged; D009093:Mucus / Q000737:chemistry*; D060787:Neoplasm Grading; D009363:Neoplasm Proteins / Q000032:analysis*; D010190:Pancreatic Neoplasms / Q000737:chemistry* / Q000473:pathology / Q000601:surgery; D011237:Predictive Value of Tests; D011379:Prognosis; D040081:Protein Array Analysis; D040901:Proteomics / Q000379:methods; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
chemical_list: D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins