BACKGROUND: The role of pancreatic cyst fluid DNA analysis in evaluating pancreatic cysts remains unclear. OBJECTIVE: Our purpose was to evaluate the utility of a detailed DNA analysis of pancreatic cyst fluid to diagnose mucinous and malignant cysts. DESIGN: Prospective, multicenter study. PATIENTS: Patients with pancreatic cysts presenting for EUS evaluation. INTERVENTION: EUS-guided pancreatic cyst aspirates cytology evaluation, carcinoembryonic antigen (CEA) level determination, and a detailed DNA analysis; incorporating DNA quantification, k-ras mutation and multiple allelic loss analysis, mutational amplitude, and sequence determination. MAIN OUTCOME MEASUREMENTS: Cyst fluid analysis compared with surgical pathologic or malignant cytologic examination. RESULTS: The study cohort consisted of 113 patients with 40 malignant, 48 premalignant, and 25 benign cysts. Cyst fluid k-ras mutation was helpful in the diagnosis of mucinous cysts (odds ratio 20.9, specificity 96%), whereas receiver-operator characteristic curve analysis indicated optimal cutoff points for allelic loss amplitude (area under the curve [AUC] 0.79; optimal value > 65%) and CEA (AUC 0.74; optimal value >148 ng/mL). Components of DNA analysis detecting malignant cysts included allelic loss amplitude over 82% (AUC 0.9) and high DNA amount (optical density ratio >10, AUC 0.79). The criteria of a high amplitude k-ras mutation followed by allelic loss showed maximum specificity (96%) for malignancy. All malignant cysts with negative cytologic evaluation (10/40) could be diagnosed as malignant by using DNA analysis. LIMITATIONS: Limited follow-up, selection bias. CONCLUSIONS: Elevated amounts of pancreatic cyst fluid DNA, high-amplitude mutations, and specific mutation acquisition sequences are indicators of malignancy. The presence of a k-ras mutation is also indicative of a mucinous cyst. DNA analysis should be considered when cyst cytologic examination is negative for malignancy.
BACKGROUND: The role of pancreatic cyst fluid DNA analysis in evaluating pancreatic cysts remains unclear. OBJECTIVE: Our purpose was to evaluate the utility of a detailed DNA analysis of pancreatic cyst fluid to diagnose mucinous and malignant cysts. DESIGN: Prospective, multicenter study. PATIENTS: Patients with pancreatic cysts presenting for EUS evaluation. INTERVENTION: EUS-guided pancreatic cyst aspirates cytology evaluation, carcinoembryonic antigen (CEA) level determination, and a detailed DNA analysis; incorporating DNA quantification, k-ras mutation and multiple allelic loss analysis, mutational amplitude, and sequence determination. MAIN OUTCOME MEASUREMENTS: Cyst fluid analysis compared with surgical pathologic or malignant cytologic examination. RESULTS: The study cohort consisted of 113 patients with 40 malignant, 48 premalignant, and 25 benign cysts. Cyst fluid k-ras mutation was helpful in the diagnosis of mucinous cysts (odds ratio 20.9, specificity 96%), whereas receiver-operator characteristic curve analysis indicated optimal cutoff points for allelic loss amplitude (area under the curve [AUC] 0.79; optimal value > 65%) and CEA (AUC 0.74; optimal value >148 ng/mL). Components of DNA analysis detecting malignant cysts included allelic loss amplitude over 82% (AUC 0.9) and high DNA amount (optical density ratio >10, AUC 0.79). The criteria of a high amplitude k-ras mutation followed by allelic loss showed maximum specificity (96%) for malignancy. All malignant cysts with negative cytologic evaluation (10/40) could be diagnosed as malignant by using DNA analysis. LIMITATIONS: Limited follow-up, selection bias. CONCLUSIONS: Elevated amounts of pancreatic cyst fluid DNA, high-amplitude mutations, and specific mutation acquisition sequences are indicators of malignancy. The presence of a k-ras mutation is also indicative of a mucinous cyst. DNA analysis should be considered when cyst cytologic examination is negative for malignancy.
Authors: Rosalie A Carr; Michele T Yip-Schneider; Scott Dolejs; Bradley A Hancock; Huangbing Wu; Milan Radovich; C Max Schmidt Journal: J Am Coll Surg Date: 2017-05-18 Impact factor: 6.113
Authors: Tatsuo Hata; Marco Dal Molin; Seung-Mo Hong; Koji Tamura; Masaya Suenaga; Jun Yu; Hiraku Sedogawa; Matthew J Weiss; Christopher L Wolfgang; Anne Marie Lennon; Ralph H Hruban; Michael G Goggins Journal: Clin Cancer Res Date: 2017-02-01 Impact factor: 12.531
Authors: Ji Kon Ryu; Hanno Matthaei; Marco Dal Molin; Seung-Mo Hong; Marcia I Canto; Richard D Schulick; Christopher Wolfgang; Michael G Goggins; Ralph H Hruban; Leslie Cope; Anirban Maitra Journal: Pancreatology Date: 2011-07-12 Impact factor: 3.996
Authors: Timothy B Gardner; Lisa M Glass; Kerrington D Smith; Gregory H Ripple; Richard J Barth; David A Klibansky; Thomas A Colacchio; Michael J Tsapakos; Arief A Suriawinata; Gregory J Tsongalis; J Marc Pipas; Stuart R Gordon Journal: Am J Gastroenterol Date: 2013-10 Impact factor: 10.864