Publication

A Combination of Molecular Markers and Clinical Features Improve the Classification of Pancreatic Cysts

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  • 02/25/2025
Type of Material
Authors
    Simeon Springer, Johns Hopkins UniversityYuxuan Wang, Johns Hopkins UniversityMarco Dal Molin, Johns Hopkins UniversityDavid L. Masica, Johns Hopkins UniversityYuchen Jiao, Johns Hopkins UniversityIsaac Kinde, Johns Hopkins UniversityAmanda Blackford, Johns Hopkins UniversitySiva P. Raman, Johns Hopkins UniversityChristopher L. Wolfgang, Johns Hopkins UniversityTyler Tomita, Johns Hopkins UniversityNoushin Niknafs, Johns Hopkins UniversityChristopher Douville, Johns Hopkins UniversityJanine Ptak, Johns Hopkins UniversityLisa Dobbyn, Johns Hopkins UniversityPeter J. Allen, Memorial Sloan-Kettering Cancer CenterDavid S. Klimstra, Memorial Sloan-Kettering Cancer CenterMark A. Schattner, Memorial Sloan-Kettering Cancer CenterC. Max Schmidt, Indiana UniversityMichele Yip-Schneider, Indiana UniversityOscar W. Cummings, Indiana UniversityRandall E. Brand, University of PittsburghHerbert J. Zeh, University of PittsburghAatur D. Singhi, University of PittsburghAldo Scarpa, University and Hospital Trust of VeronaRoberto Salvia, University and Hospital Trust of VeronaGiuseppe Malleo, University and Hospital Trust of VeronaGiuseppe Zamboni, University and Hospital Trust of VeronaMassimo Falconi, IRCCS San Raffaele Scientific InstituteJin-Young Jang, Seoul National UniversitySun-Whe Kim, Seoul National UniversityWooil Kwon, Seoul National UniversitySeung-Mo Hong, University of UlsanKi-Byung Song, University of UlsanSong Cheol Kim, University of UlsanNiall Swan, St. Vincent’s University HospitalJean Murphy, St. Vincent’s University HospitalJustin Geoghegan, St. Vincent’s University HospitalWilliam Brugge, Massachusetts General HospitalCarlos Fernandez-Del Castillo, Massachusetts General HospitalMari Mino-Kenudson, Massachusetts General HospitalRichard Schulick, University of ColoradoBarish H. Edil, University of ColoradoNazmi Adsay, Emory UniversityJorge Paulino, Hospital Curry CabralJeanin van Hooft, Amsterdam Medical CenterShinichi Yachida, National Cancer Center, JapanSatoshi Nara, National Cancer Center, JapanNobuyoshi Hiraoka, National Cancer Center, JapanKenji Yamao, Aichi Cancer Center HospitalSusuma Hijioka, Aichi Cancer Center HospitalSchalk van der Merwe, Katholieke Universiteit LeuvenMichael Goggins, Johns Hopkins UniversityMarcia Irene Canto, Johns Hopkins UniversityNita Ahuja, Johns Hopkins UniversityKenzo Hirose, Johns Hopkins UniversityMartin Makary, Johns Hopkins UniversityMatthew J. Weiss, Johns Hopkins UniversityJohn Cameron, Johns Hopkins UniversityMeredith Pittman, Johns Hopkins UniversityJames R. Eshleman, Johns Hopkins UniversityLuis A. Diaz, Johns Hopkins UniversityNikolas Papadopoulos, Johns Hopkins UniversityKenneth W. Kinzler, Johns Hopkins UniversityRachel Karchin, Johns Hopkins UniversityRalph H. Hruban, Johns Hopkins UniversityBert Vogelstein, Johns Hopkins UniversityAnne Marie Lennon, Johns Hopkins University
Language
  • English
Date
  • 2015-11-01
Publisher
  • Elsevier
Publication Version
Copyright Statement
  • © 2015 AGA Institute.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 0016-5085
Volume
  • 149
Issue
  • 6
Start Page
  • 1501
End Page
  • 1510
Grant/Funding Information
  • Supported by The Lustgarten Foundation for Pancreatic Cancer Research, The Sol Goldman Center for Pancreatic Cancer Research, The Virginia and D.K. Ludwig Fund for Cancer Research, Susan Wojcicki and Dennis Troper, The Michael Rolfe Foundation, National Institutes of Health grant P50 CA62924, Associazione Italiana Ricerca Cancro (12182) Italian Ministry of Research (FIRB RBAP10AHJB) and Health (FIMP J33G13000210001).
Supplemental Material (URL)
Abstract
  • Background & Aims: The management of pancreatic cysts poses challenges to both patients and their physicians. We investigated whether a combination of molecular markers and clinical information could improve the classification of pancreatic cysts and management of patients. Methods: We performed a multi-center, retrospective study of 130 patients with resected pancreatic cystic neoplasms (12 serous cystadenomas, 10 solid-pseudopapillary neoplasms, 12 mucinous cystic neoplasms, and 96 intraductal papillary mucinous neoplasms). Cyst fluid was analyzed to identify subtle mutations in genes known to be mutated in pancreatic cysts (BRAF, CDKN2A, CTNNB1, GNAS, KRAS, NRAS, PIK3CA, RNF43, SMAD4, TP53 and VHL); to identify loss of heterozygozity at CDKN2A, RNF43, SMAD4, TP53, and VHL tumor suppressor loci; and to identify aneuploidy. The analyses were performed using specialized technologies for implementing and interpreting massively parallel sequencing data acquisition. An algorithm was used to select markers that could classify cyst type and grade. The accuracy of the molecular markers were compared with that of clinical markers, and a combination of molecular and clinical markers. Results: We identified molecular markers and clinical features that classified cyst type with 90%–100% sensitivity and 92%–98% specificity. The molecular marker panel correctly identified 67 of the 74 patients who did not require surgery, and could therefore reduce the number of unnecessary operations by 91%. Conclusions: We identified a panel of molecular markers and clinical features that show promise for the accurate classification of cystic neoplasms of the pancreas and identification of cysts that require surgery.
Author Notes
Keywords
Research Categories
  • Health Sciences, Medicine and Surgery
  • Health Sciences, Pathology

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