Literature DB >> 22076567

Proteomic assessment of markers for malignancy in the mucus of intraductal papillary mucinous neoplasms of the pancreas.

Olivier Corcos1, Anne Couvelard, Delphine Dargère, Alain Sauvanet, Pascal Hammel, Valérie Paradis, Philippe Lévy, Philippe Ruszniewski, Pierre Bedossa.   

Abstract

OBJECTIVES: 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. ABBREVIATIONS: IPMN - intraductal papillary mucinous neoplasm, EPC - extrapancreatic cancer, MRI - magnetic resonance imaging, ERCP - endoscopic retrograde cholangiopancreatography.

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Year:  2012        PMID: 22076567     DOI: 10.1097/MPA.0b013e3182289356

Source DB:  PubMed          Journal:  Pancreas        ISSN: 0885-3177            Impact factor:   3.327


  7 in total

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Review 2.  Elevating pancreatic cystic lesion stratification: Current and future pancreatic cancer biomarker(s).

Authors:  Joseph Carmicheal; Asish Patel; Vipin Dalal; Pranita Atri; Amaninder S Dhaliwal; Uwe A Wittel; Mokenge P Malafa; Geoffrey Talmon; Benjamin J Swanson; Shailender Singh; Maneesh Jain; Sukhwinder Kaur; Surinder K Batra
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2019-10-30       Impact factor: 10.680

3.  Systematic Review of Pancreatic Cyst Fluid Biomarkers: The Path Forward.

Authors:  Nikhil Thiruvengadam; Walter G Park
Journal:  Clin Transl Gastroenterol       Date:  2015-06-11       Impact factor: 4.488

4.  Early and accurate diagnosis of pancreatic cancer?

Authors:  Jeremy Sharib; Kimberly Kirkwood
Journal:  Oncotarget       Date:  2016-12-27

5.  Metabolomics based predictive classifier for early detection of pancreatic ductal adenocarcinoma.

Authors:  Keith Unger; Khyati Y Mehta; Prabhjit Kaur; Yiwen Wang; Smrithi S Menon; Shreyans K Jain; Rose A Moonjelly; Shubhankar Suman; Kamal Datta; Rajbir Singh; Paul Fogel; Amrita K Cheema
Journal:  Oncotarget       Date:  2018-05-01

6.  Proteomic mucin profiling for the identification of cystic precursors of pancreatic cancer.

Authors:  Karolina S Jabbar; Caroline Verbeke; Anders G Hyltander; Henrik Sjövall; Gunnar C Hansson; Riadh Sadik
Journal:  J Natl Cancer Inst       Date:  2014-02       Impact factor: 13.506

7.  Metabolomic biomarkers of pancreatic cancer: a meta-analysis study.

Authors:  Khyati Y Mehta; Hung-Jen Wu; Smrithi S Menon; Yassi Fallah; Xiaogang Zhong; Nasser Rizk; Keith Unger; Mark Mapstone; Massimo S Fiandaca; Howard J Federoff; Amrita K Cheema
Journal:  Oncotarget       Date:  2017-08-18
  7 in total

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