Back to Search
Start Over
Diagnostic model for pancreatic cancer using a multi-biomarker panel
- Source :
- Annals of Surgical Treatment and Research
- Publication Year :
- 2021
- Publisher :
- The Korean Surgical Society, 2021.
-
Abstract
- Purpose Diagnostic biomarkers of pancreatic ductal adenocarcinoma (PDAC) have been used for early detection to reduce its dismal survival rate. However, clinically feasible biomarkers are still rare. Therefore, in this study, we developed an automated multi-marker enzyme-linked immunosorbent assay (ELISA) kit using 3 biomarkers (leucine-rich alpha-2-glycoprotein [LRG1], transthyretin [TTR], and CA 19-9) that were previously discovered and proposed a diagnostic model for PDAC based on this kit for clinical usage. Methods Individual LRG1, TTR, and CA 19-9 panels were combined into a single automated ELISA panel and tested on 728 plasma samples, including PDAC (n = 381) and normal samples (n = 347). The consistency between individual panels of 3 biomarkers and the automated multi-panel ELISA kit were accessed by correlation. The diagnostic model was developed using logistic regression according to the automated ELISA kit to predict the risk of pancreatic cancer (high-, intermediate-, and low-risk groups). Results The Pearson correlation coefficient of predicted values between the triple-marker automated ELISA panel and the former individual ELISA was 0.865. The proposed model provided reliable prediction results with a positive predictive value of 92.05%, negative predictive value of 90.69%, specificity of 90.69%, and sensitivity of 92.05%, which all simultaneously exceed 90% cutoff value. Conclusion This diagnostic model based on the triple ELISA kit showed better diagnostic performance than previous markers for PDAC. In the future, it needs external validation to be used in the clinic.
- Subjects :
- 0301 basic medicine
Oncology
medicine.medical_specialty
Pancreatic ductal adenocarcinoma
Biomarker panel
Logistic regression
03 medical and health sciences
symbols.namesake
0302 clinical medicine
Enzyme-linked immunosorbent assay
Diagnostic model
Internal medicine
Pancreatic cancer
Medicine
Diagnostic biomarker
Survival rate
business.industry
Pancreatic intraductal neoplasms
medicine.disease
Pearson product-moment correlation coefficient
030104 developmental biology
030220 oncology & carcinogenesis
symbols
Surgery
Original Article
Corrigendum
business
Biomarkers
Subjects
Details
- Language :
- English
- ISSN :
- 22886796 and 22886575
- Volume :
- 100
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Annals of Surgical Treatment and Research
- Accession number :
- edsair.doi.dedup.....4478a90b35279240ad47e86fd020beec