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Multi-biomarker panel prediction model for diagnosis of pancreatic cancer

Authors
 Doo-Ho Lee  ;  Woongchang Yoon  ;  Areum Lee  ;  Youngmin Han  ;  Yoonhyeong Byun  ;  Jae Seung Kang  ;  Hongbeom Kim  ;  Wooil Kwon  ;  Young-Ah Suh  ;  Yonghwan Choi  ;  Junghyun Namkung  ;  Sangjo Han  ;  Sung Gon Yi  ;  Jin Seok Heo  ;  In Woong Han  ;  Joon Oh Park  ;  Joo Kyung Park  ;  Song Cheol Kim  ;  Eunsung Jun  ;  Chang Moo Kang  ;  Woo Jin Lee  ;  Hyeon Kook Lee  ;  Huisong Lee  ;  Seungyeoun Lee  ;  Seung-Yong Jeong  ;  Kyu Eun Lee  ;  Wonshik Han  ;  Taesung Park  ;  Jin-Young Jang 
Citation
 JOURNAL OF HEPATO-BILIARY-PANCREATIC SCIENCES, Vol.30(1) : 122-132, 2023-01 
Journal Title
JOURNAL OF HEPATO-BILIARY-PANCREATIC SCIENCES
ISSN
 1868-6974 
Issue Date
2023-01
MeSH
Adenocarcinoma* / diagnosis ; Adenocarcinoma* / pathology ; Biomarkers, Tumor ; Carcinoma, Pancreatic Ductal* / pathology ; Humans ; Pancreatic Diseases* ; Pancreatic Neoplasms* / pathology
Keywords
biomarker panel ; diagnosis ; pancreatic ductal adenocarcinoma ; screening ; tumor marker
Abstract
Background/Purpose The current study aimed to develop a prediction model using a multi-marker panel as a diagnostic screening tool for pancreatic ductal adenocarcinoma. Methods Multi-center cohort of 1991 blood samples were collected from January 2011 to September 2019, of which 609 were normal, 145 were other cancer (colorectal, thyroid, and breast cancer), 314 were pancreatic benign disease, and 923 were pancreatic ductal adenocarcinoma. The automated multi-biomarker Enzyme-Linked Immunosorbent Assay kit was developed using three potential biomarkers: LRG1, TTR, and CA 19-9. Using a logistic regression model on a training data set, the predicted values for pancreatic ductal adenocarcinoma were obtained, and the result was classification into one of the three risk groups: low, intermediate, and high. The five covariates used to create the model were sex, age, and three biomarkers. Results Participants were categorized into four groups as normal (n = 609), other cancer (n = 145), pancreatic benign disease (n = 314), and pancreatic ductal adenocarcinoma (n = 923). The normal, other cancer, and pancreatic benign disease groups were clubbed into the non-pancreatic ductal adenocarcinoma group (n = 1068). The positive and negative predictive value, sensitivity, and specificity were 94.12, 90.40, 93.81, and 90.86, respectively. Conclusions This study demonstrates a significant diagnostic performance of the multi-marker panel in distinguishing pancreatic ductal adenocarcinoma from normal and benign pancreatic disease states, as well as patients with other cancers.
Full Text
https://onlinelibrary.wiley.com/doi/10.1002/jhbp.986
DOI
10.1002/jhbp.986
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
Yonsei Authors
Kang, Chang Moo(강창무) ORCID logo https://orcid.org/0000-0002-5382-4658
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/199689
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