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Diagnostic performance enhancement of pancreatic cancer using proteomic multimarker panel
  • 작성일2018-02-14
  • 최종수정일2018-02-14
  • 담당부서연구기획과
  • 연락처043-719-8033
  • 3,040
oncotarget, 2017, 01, 93117─93130, DOI: https://doi.org/10.18632/oncotarget.21861

Diagnostic performance enhancement of pancreatic cancer using proteomic multimarker panel

Jiyoung Park, Junghyun Namkung; Sung Gon Yi; Hyunsoo Kim; Jiyoung Yu; Yongkang Kim; Min-Seok Kwon; Wooil Kwon; Do-Youn Oh; Sun-Whe Kim; Seung-Yong Jeong; Wonshik Han; Kyu Eun Lee; Jin Seok Heo; Joon Oh Park8; Joo Kyung Park; Song Cheol Kim; Chang Moo Kang; Woo Jin Lee; Seungyeoun Lee; Sangjo Han; Taesung Park; Jin-Young Jang; Youngsoo Kim

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 largescale samples by MRM-MS and immunoassay has clinical applicability in the early detection of PDAC.



  • 본 연구는 질병관리본부 연구개발과제(과제번호 2017-보건의료생물자원종합관리) 연구비를 지원받아 수행되었습니다.
  • This research was supported by a fund(code 2017-보건의료생물자원종합관리) by Research of Korea Centers for Disease Control and Prevention.


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