Identification of Circulating Serum miRNAs as Novel Biomarkers in Pancreatic Cancer Using a Penalized Algorithm

International Journal of Molecular Sciences

Jaehoon Lee¹  Si Young Song²  Hee Seung Lee²  Soo Been Park²  Chanyang Kim²  Kahee Kim²  Dawoon E. Jung³ 

[1] Department of Statistics, Seoul National University, Seoul 08733, Korea;Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea;Institute of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea;

关键词: microRNA;    pancreatic cancer;    diagnosis;    sensitivity;    specificity;    biomarker;   

DOI  :  10.3390/ijms22031007

来源: DOAJ

【 摘 要 】

Pancreatic cancer (PC) is difficult to detect in the early stages; thus, identifying specific and sensitive biomarkers for PC diagnosis is crucial, especially in the case of early-stage tumors. Circulating microRNAs are promising non-invasive biomarkers. Therefore, we aimed to identify non-invasive miRNA biomarkers and build a model for PC diagnosis. For the training model, blood serum samples from 63 PC patients and 63 control subjects were used. We selected 39 miRNA markers using a smoothly clipped absolute deviation-based penalized support vector machine and built a PC diagnosis model. From the double cross-validation, the average test AUC was 0.98. We validated the diagnosis model using independent samples from 25 PC patients and 81 patients with intrahepatic cholangiocarcinoma (ICC) and compared the results with those obtained from the diagnosis using carbohydrate antigen 19-9. For the markers miR-155-5p, miR-4284, miR-346, miR-7145-5p, miR-5100, miR-661, miR-22-3p, miR-4486, let-7b-5p, and miR-4703-5p, we conducted quantitative reverse transcription PCR using samples from 17 independent PC patients, 8 ICC patients, and 8 healthy individuals. Differential expression was observed in samples from PC patients. The diagnosis model based on the identified markers showed high sensitivity and specificity for PC detection and is potentially useful for early PC diagnosis.

【 授权许可】

Unknown