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Diagnostic performance enhancement of pancreatic cancer using proteomic multimarker panel.
Park, Jiyoung; Choi, Yonghwan; Namkung, Junghyun; Yi, Sung Gon; Kim, Hyunsoo; Yu, Jiyoung; Kim, Yongkang; Kwon, Min-Seok; Kwon, Wooil; Oh, Do-Youn; Kim, Sun-Whe; Jeong, Seung-Yong; Han, Wonshik; Lee, Kyu Eun; Heo, Jin Seok; Park, Joon Oh; Park, Joo Kyung; Kim, Song Cheol; Kang, Chang Moo; Lee, Woo Jin; Lee, Seungyeoun; Han, Sangjo; Park, Taesung; Jang, Jin-Young; Kim, Youngsoo.
Afiliação
  • Park J; Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
  • Choi Y; Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea.
  • Namkung J; Immunodiagnostics R&D Team, IVD Business Unit 5, SK Telecom, Seoul, Korea.
  • Yi SG; Immunodiagnostics R&D Team, IVD Business Unit 5, SK Telecom, Seoul, Korea.
  • Kim H; Immunodiagnostics R&D Team, IVD Business Unit 5, SK Telecom, Seoul, Korea.
  • Yu J; Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
  • Kim Y; Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea.
  • Kwon MS; Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
  • Kwon W; Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea.
  • Oh DY; Department of Statistics, Seoul National University, Seoul, Korea.
  • Kim SW; Department of Statistics, Seoul National University, Seoul, Korea.
  • Jeong SY; Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
  • Han W; Department of Internal Medicine and Cancer Research Institute, Seoul National University Hospital, Seoul, Korea.
  • Lee KE; Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
  • Heo JS; Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
  • Park JO; Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
  • Park JK; Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
  • Kim SC; Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Kang CM; Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Lee WJ; Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea.
  • Lee S; Department of Surgery, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.
  • Han S; Department of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Park T; Center for Liver Cancer, National Cancer Center, Seoul, Korea.
  • Jang JY; Department of Mathematics and Statistics, Sejong University, Seoul, Korea.
  • Kim Y; Immunodiagnostics R&D Team, IVD Business Unit 5, SK Telecom, Seoul, Korea.
Oncotarget ; 8(54): 93117-93130, 2017 Nov 03.
Article em En | MEDLINE | ID: mdl-29190982
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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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article