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Proteomic mucin profiling for the identification of cystic precursors of pancreatic cancer.
- Source :
-
Journal of the National Cancer Institute [J Natl Cancer Inst] 2014 Feb; Vol. 106 (2), pp. djt439. - Publication Year :
- 2014
-
Abstract
- Background: Pancreatic cystic lesions (PCLs) are increasingly frequent radiological incidentalomas, with a considerable proportion representing precursors of pancreatic cancer. Better diagnostic tools are required for patients to benefit from this development.<br />Methods: To evaluate whether cyst fluid mucin expression could predict malignant potential and/or transformation in PCLs, a proteomic method was devised and prospectively evaluated in consecutive patients referred to our tertiary center for endoscopic ultrasound-guided aspiration of cystic lesions from May 2007 through November 2008 (discovery cohort) and from December 2008 through October 2012 (validation cohort). Cytology and cyst fluid carcinoembryonic antigen (CEA; premalignancy > 192 ng/mL, malignancy > 1000 ng/mL) were routinely analyzed, and samples were further processed as follows: one-dimensional gel electrophoresis, excision of high-mass areas, tryptic digestion and nano-liquid chromatography-tandem mass spectrometry, with peptide identification by Mascot software and an in-house mucin database. All diagnostic evaluations were blinded to proteomics results. Histology was required to confirm the presence/absence of malignant transformation. All statistical tests were two-sided.<br />Results: Proteomic mucin profiling proved statistically significantly more accurate (97.5%; 95% confidence interval [CI] = 90.3% to 99.6%) than cytology (71.4%; 95% CI = 59.8% to 80.9%; P < .001) and cyst fluid CEA (78.0%; 95% CI = 65.0% to 87.3%; P < .001) in identifying the 37 (out of 79; 46.8%) lesions with malignant potential (ie, premalignant or malignant tumors). The accuracy of proteomics was nearly identical (96.6% vs 98.0%) between the discovery (n = 29) and validation (n = 50) cohorts. Furthermore, mucin profiling predicted malignant transformation, present in 16 out of 29 (discovery cohort: 9, validation cohort: 20) lesions with available histology, with 89.7% accuracy (95% CI = 71.5% to 97.3%) (for the validation cohort only: 95.0%; 95% CI = 73.1% to 99.7%). This markedly exceeded corresponding results for cytology (51.7%; 95% CI = 32.9% to 70.1%; P = .003) and CEA (57.1%; 95% CI = 34.4% to 77.4%; P = .02).<br />Conclusions: Proteomic cyst fluid mucin profiling robustly discriminates benign, premalignant, and malignant PCLs. Consequently, it may improve pancreatic cancer prevention and reduce the morbidity burden of unwarranted pancreatic surgery.
- Subjects :
- Adult
Aged
Biomarkers, Tumor blood
Carcinoembryonic Antigen blood
Chromatography, Liquid
Electrophoresis
Endoscopic Ultrasound-Guided Fine Needle Aspiration
Female
Gene Expression Regulation, Neoplastic
Humans
Male
Mass Spectrometry
Middle Aged
Mucins genetics
Pancreatic Neoplasms chemistry
Precancerous Conditions pathology
Predictive Value of Tests
Biomarkers, Tumor analysis
Cyst Fluid chemistry
Gene Expression Profiling
Mucins analysis
Pancreatic Cyst metabolism
Pancreatic Cyst pathology
Pancreatic Neoplasms pathology
Precancerous Conditions chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 1460-2105
- Volume :
- 106
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Journal of the National Cancer Institute
- Publication Type :
- Academic Journal
- Accession number :
- 24523528
- Full Text :
- https://doi.org/10.1093/jnci/djt439