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PancreaSeq Genomic Classifier (PancreaSeq GC) Improves Pancreatic Cyst Classification and Detection of Advanced

Aatur D Singhi1, Abigail I Wald2, Katelyn Smith2

  • 1Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA. singhiad@upmc.edu.

Annals of Surgical Oncology
|December 13, 2025
PubMed
Summary
This summary is machine-generated.

The PancreaSeq Genomic Classifier (GC) significantly improves the preoperative diagnosis of pancreatic cysts, showing higher sensitivity and specificity for advanced neoplasia compared to previous methods.

Keywords:
Intraductal oncocytic papillary neoplasmIntraductal papillary mucinous neoplasmMucinous cystic neoplasmPancreatic ductal adenocarcinomaPancreatic neuroendocrine tumorPseudocystSerous cystadenoma

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Area of Science:

  • Gastroenterology and Hepatology
  • Surgical Oncology
  • Molecular Diagnostics

Background:

  • Preoperative classification of pancreatic cysts and detection of advanced neoplasia (high-grade dysplasia/pancreatic ductal adenocarcinoma [PDAC]) is challenging.
  • Previous DNA-based testing (PancreaSeq) improved pancreatic cyst assessment but had limitations.
  • A novel DNA/RNA-based panel, PancreaSeq Genomic Classifier (GC), was developed to overcome these limitations.

Purpose of the Study:

  • To validate the performance of the PancreaSeq Genomic Classifier (GC) in a prospective patient cohort.
  • To compare the diagnostic accuracy of PancreaSeq GC against traditional methods and its DNA-only predecessor, PancreaSeq.

Main Methods:

  • PancreaSeq GC was blindly tested on a prospective cohort of 241 patients with diagnostic follow-up.
  • Performance was benchmarked against traditional diagnostics and PancreaSeq.
  • The cohort included 186 mucinous cysts, with 97 harboring advanced neoplasia.

Main Results:

  • PancreaSeq GC achieved 94.6% sensitivity and 96.4% specificity for mucinous cysts (AUC 0.955), outperforming PancreaSeq (p < 0.001).
  • For advanced neoplasia, PancreaSeq GC demonstrated 86.6% sensitivity and 97.9% specificity (AUC 0.923), with improved sensitivity over PancreaSeq (p = 0.031).
  • PancreaSeq GC showed high accuracy in classifying specific cyst types like IOPNs, ITPNs, and cPanNETs (97.1-100% sensitivity, 100% specificity).

Conclusions:

  • The PancreaSeq Genomic Classifier (GC) offers statistically significant improvements for diagnosing mucinous cysts and advanced neoplasia.
  • PancreaSeq GC is established as a clinically valuable tool for preoperative pancreatic cyst evaluation.
  • This validation confirms the enhanced diagnostic utility of the DNA/RNA-based PancreaSeq GC.