Postoperative prognosis prediction of pancreatic cancer with seven microRNAs
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Updated: Apr 14, 2026

An In Vitro Protocol for Evaluating MicroRNA Levels, Functions, and Associated Target Genes in Tumor Cells
Published on: May 21, 2019
Kwang Hyuck Lee1, Jong Kyun Lee, Dong Wook Choi
1From the *Department of Medicine, †Department of Surgery, ‡Department of Pathology, §Biostatistics and Clinical Epidemiology Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; and ∥Department of Biostatistics and Bioinformatics, Duke University, NC.
Objectives:
The aim of this study was to investigate microRNAs related to postoperative prognosis of pancreatic cancer by applying microarray analysis to stored surgical specimens.
Methods:
We retrospectively analyzed the relationship between microRNA expression and postoperative survival of pancreatic cancer patients in Samsung Medical Center. After the correlation of microRNA expression between paraffin-embedded and fresh-frozen specimens was confirmed, we applied NanoString nCounter system to formalin fixed paraffin-embedded surgical specimens between 1995 September and 2010 June.
Results:
Paired fresh and paraffin-embedded samples from 9 patients showed a high correlation (correlation coefficient > 0.91). Among 734 microRNAs, 7 microRNAs were found to be related to postoperative overall survival of 221 pancreatic cancer patients: hsa-miR-99a, hsa-miR-150, hsa-miR-194, hsa-miR-375, hsa-miR-664, hsa-miR-342-3p, and hsa-miR-487b (P < 0.01). The prognostic microRNA signature was consistent after adjustment of clinical parameters: resection status, stages, age, sex, adjuvant treatment, pathological differentiation and postoperative carbohydrate antigen 19-9 levels.
Conclusions:
We found a prediction model for postoperative prognosis of pancreatic cancer using 7 microRNA expression patterns from archived formalin-fixed paraffin-embedded surgical specimens. The methods for microRNA detection and new microRNAs detected in this study provide new insights for new research of surgically resected pancreatic cancer samples and microRNAs.
Insights
Seven microRNAs identified in archived pancreatic cancer tissues predict patient survival. This discovery offers a new model for assessing postoperative prognosis in pancreatic cancer patients using microRNA expression.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Pancreatic cancer has a poor prognosis, necessitating novel biomarkers for predicting patient outcomes.
- MicroRNAs (miRNAs) are implicated in cancer development and progression, but their role in pancreatic cancer prognosis requires further elucidation.
Purpose of the Study:
- To identify microRNAs associated with the postoperative prognosis of pancreatic cancer.
- To develop a predictive model for pancreatic cancer survival using miRNA expression profiles from archival surgical specimens.
Main Methods:
- Retrospective analysis of miRNA expression in formalin-fixed paraffin-embedded (FFPE) pancreatic cancer tissues.
- Validation of miRNA expression correlation between fresh-frozen and FFPE samples.
- Application of the NanoString nCounter system for miRNA profiling in 221 patients.
Main Results:
- High correlation (r > 0.91) of miRNA expression between fresh-frozen and FFPE samples.
- Identification of seven specific miRNAs (hsa-miR-99a, hsa-miR-150, hsa-miR-194, hsa-miR-375, hsa-miR-664, hsa-miR-342-3p, and hsa-miR-487b) significantly associated with overall survival (P < 0.01).
- The prognostic significance of these miRNAs remained consistent after adjusting for clinical parameters.
Conclusions:
- A novel prediction model for pancreatic cancer postoperative prognosis was established using a signature of seven miRNAs from FFPE tissues.
- These findings highlight the utility of archived FFPE samples for miRNA-based prognostic studies in pancreatic cancer.
- The identified miRNAs and detection methods offer new avenues for research in surgically resected pancreatic cancer.
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