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An In Vitro Protocol for Evaluating MicroRNA Levels, Functions, and Associated Target Genes in Tumor Cells
Published on: May 21, 2019
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.
Abstract:
MicroRNAs have potential as diagnostic cancer biomarkers. The aim of this study was (1) to define microRNA expression patterns in formalin-fixed parafin-embedded tissue from pancreatic ductal adenocarcinoma, ampullary adenocarcinoma, normal pancreas and chronic pancreatitis without using micro-dissection and (2) to discover new diagnostic microRNAs and combinations of microRNAs in cancer tissue. The expression of 664 microRNAs in tissue from 170 pancreatic adenocarcinomas and 107 ampullary adenocarcinomas were analyzed using a commercial microRNA assay. Results were compared with chronic pancreatitis, normal pancreas and duodenal adenocarcinoma. In all, 43 microRNAs had higher and 41 microRNAs reduced expression in pancreatic cancer compared with normal pancreas. In all, 32 microRNAs were differently expressed in pancreatic adenocarcinoma compared with chronic pancreatitis (17 higher; 15 reduced). Several of these microRNAs have not before been related to diagnosis of pancreatic cancer (eg, miR-492, miR-614, miR-622). MiR-614, miR-492, miR-622, miR-135b and miR-196 were most differently expressed. MicroRNA profiles of pancreatic and ampullary adenocarcinomas were correlated (0.990). MicroRNA expression profiles for pancreatic cancer described in the literature were consistent with our findings, and the microRNA profile for pancreatic adenocarcinoma (miR-196b-miR-217) was validated. We identified a more significant expression profile, the difference between miR-411 and miR-198 (P=2.06 × 10(-54)) and a diagnostic LASSO classifier using 19 microRNAs (sensitivity 98.5%; positive predictive value 97.8%; accuracy 97.0%). We also identified microRNA profiles to subclassify ampullary adenocarcinomas into pancreatobiliary or intestinal type. In conclusion, we found that combinations of two microRNAs could roughly separate neoplastic from non-neoplastic samples. A diagnostic 19 microRNA classifier was constructed which without micro-dissection could discriminate pancreatic and ampullary adenocarcinomas from chronic pancreatitis and normal pancreas with high sensitivity and accuracy. Ongoing prospective studies will evaluate if these microRNA profiles are useful on fine-needle biopsies for early diagnosis of pancreatic cancer.
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.
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