Research Papers:
Diagnostic performance enhancement of pancreatic cancer using proteomic multimarker panel
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Abstract
Jiyoung Park1,2,*, Yonghwan Choi3,14,*, Junghyun Namkung3, Sung Gon Yi3, Hyunsoo Kim1,2, Jiyoung Yu1,2, Yongkang Kim4, Min-Seok Kwon4, Wooil Kwon5, Do-Youn Oh6, Sun-Whe Kim5, Seung-Yong Jeong5, Wonshik Han5, Kyu Eun Lee5, Jin Seok Heo7, Joon Oh Park8, Joo Kyung Park9, Song Cheol Kim10, Chang Moo Kang11, Woo Jin Lee12, Seungyeoun Lee13, Sangjo Han3, Taesung Park4, Jin-Young Jang5 and Youngsoo Kim1,2
1Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
2Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea
3Immunodiagnostics R&D Team, IVD Business Unit 5, SK Telecom, Seoul, Korea
4Department of Statistics, Seoul National University, Seoul, Korea
5Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
6Department of Internal Medicine and Cancer Research Institute, Seoul National University Hospital, Seoul, Korea
7Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
8Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
9Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea
10Department of Surgery, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea
11Department of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
12Center for Liver Cancer, National Cancer Center, Seoul, Korea
13Department of Mathematics and Statistics, Sejong University, Seoul, Korea
14School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology (POSTECH), Pohang, Korea
*The authors have contributed equally to this work
Correspondence to:
Taesung Park, email: [email protected]
Jin-Young Jang, email: [email protected]
Youngsoo Kim, email: [email protected]
Keywords: pancreatic cancer, proteomics, diagnostic biomarker, multimarker panel, multiple reaction monitoring
Received: July 10, 2017 Accepted: August 29, 2017 Published: October 16, 2017
ABSTRACT
Due to its high mortality rate and asymptomatic nature, early detection rates of pancreatic ductal adenocarcinoma (PDAC) remain poor.
We measured 1000 biomarker candidates in 134 clinical plasma samples by multiple reaction monitoring-mass spectrometry (MRM-MS). Differentially abundant proteins were assembled into a multimarker panel from a training set (n=684) and validated in independent set (n=318) from five centers. The level of panel proteins was also confirmed by immunoassays. The panel including leucine-rich alpha-2 glycoprotein (LRG1), transthyretin (TTR), and CA19-9 had a sensitivity of 82.5% and a specificity of 92.1%. The triple-marker panel exceeded the diagnostic performance of CA19-9 by more than 10% (AUCCA19-9 = 0.826, AUCpanel= 0.931, P < 0.01) in all PDAC samples and by more than 30% (AUCCA19-9 = 0.520, AUCpanel = 0.830, P < 0.001) in patients with normal range of CA19-9 (<37U/mL). Further, it differentiated PDAC from benign pancreatic disease (AUCCA19-9 = 0.812, AUCpanel = 0.892, P < 0.01) and other cancers (AUCCA19-9 = 0.796, AUCpanel = 0.899, P < 0.001).
Overall, the multimarker panel that we have developed and validated in large-scale samples by MRM-MS and immunoassay has clinical applicability in the early detection of PDAC.
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PII: 21861