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

J Natl Cancer Inst. 2014 Feb;106(2):djt439. doi: 10.1093/jnci/djt439.

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.

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.

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).

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Biomarkers, Tumor / analysis*
  • Biomarkers, Tumor / blood
  • Carcinoembryonic Antigen / blood
  • Chromatography, Liquid
  • Cyst Fluid / chemistry*
  • Electrophoresis
  • Endoscopic Ultrasound-Guided Fine Needle Aspiration
  • Female
  • Gene Expression Profiling*
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Male
  • Mass Spectrometry
  • Middle Aged
  • Mucins / analysis*
  • Mucins / genetics
  • Pancreatic Cyst / metabolism*
  • Pancreatic Cyst / pathology*
  • Pancreatic Neoplasms / chemistry
  • Pancreatic Neoplasms / pathology*
  • Precancerous Conditions / chemistry*
  • Precancerous Conditions / pathology
  • Predictive Value of Tests

Substances

  • Biomarkers, Tumor
  • Carcinoembryonic Antigen
  • Mucins