MicroRNA expression profiles associated with pancreatic adenocarcinoma and ampullary adenocarcinoma

Nicolai A Schultz1, Jens Werner, Hanni Willenbrock

  • 1Department of Surgical Gastroenterology and Transplantation, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.

Insights

This study identified novel microRNA (miRNA) signatures for diagnosing pancreatic and ampullary adenocarcinomas. A 19-miRNA classifier accurately distinguishes these cancers from non-cancerous tissues, paving the way for early detection.

Area of Science:

  • Oncology
  • Molecular Biology
  • Biomarker Discovery

Background:

  • MicroRNAs (miRNAs) show promise as diagnostic biomarkers for various cancers.
  • Accurate and non-invasive diagnostic tools are crucial for early detection of pancreatic cancer.
  • Current diagnostic methods for pancreatic cancer can be limited, necessitating novel approaches.

Purpose of the Study:

  • To define miRNA expression patterns in pancreatic and ampullary adenocarcinoma tissues compared to normal pancreas and chronic pancreatitis.
  • To discover novel miRNA biomarkers and combinations for the diagnosis of pancreatic and ampullary adenocarcinomas.
  • To develop a diagnostic classifier for distinguishing these cancers from non-neoplastic conditions.

Main Methods:

  • Analysis of 664 microRNAs in formalin-fixed paraffin-embedded tissues from 170 pancreatic adenocarcinomas and 107 ampullary adenocarcinomas using a commercial assay.
  • Comparison of miRNA expression profiles between cancer tissues, normal pancreas, chronic pancreatitis, and duodenal adenocarcinoma.
  • Development of a diagnostic LASSO classifier using identified differentially expressed miRNAs.

Main Results:

  • Significant differences in miRNA expression were observed between pancreatic cancer and normal/chronic pancreatitis tissues (e.g., 43 higher, 41 reduced in pancreatic cancer vs. normal).
  • Several novel miRNAs (e.g., miR-492, miR-614, miR-622) were identified as potentially diagnostic for pancreatic cancer.
  • A 19-miRNA LASSO classifier demonstrated high diagnostic performance (98.5% sensitivity, 97.8% PPV, 97.0% accuracy) for distinguishing pancreatic and ampullary adenocarcinomas.

Conclusions:

  • Combinations of miRNAs can effectively differentiate neoplastic from non-neoplastic pancreatic tissues.
  • A 19-miRNA classifier, developed without micro-dissection, accurately diagnoses pancreatic and ampullary adenocarcinomas.
  • These miRNA profiles hold potential for early pancreatic cancer diagnosis via fine-needle biopsies in future studies.