Ontology highlight
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.
SUBMITTER: Choi YJ
PROVIDER: S-EPMC7943279 | biostudies-literature | 2021 Mar
REPOSITORIES: biostudies-literature
Choi Yoo Jin YJ Yoon Woongchang W Lee Areum A Han Youngmin Y Byun Yoonhyeong Y Kang Jae Seung JS Kim Hongbeom H Kwon Wooil W Suh Young-Ah YA Kim Yongkang Y Lee Seungyeoun S Namkung Junghyun J Han Sangjo S Choi Yonghwan Y Heo Jin Seok JS Park Joon Oh JO Park Joo Kyung JK Kim Song Cheol SC Kang Chang Moo CM Lee Woo Jin WJ Park Taesung T Jang Jin-Young JY
Annals of surgical treatment and research 20210226 3
<h4>Purpose</h4>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 thi ...[more]