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Molecular & Cellular Proteomics

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Technological Innovation and Resources

Prediction of Response to Sorafenib in Hepatocellular Carcinoma: A Putative Marker Panel by Multiple Reaction Monitoring-Mass Spectrometry (MRM-MS)

Hyunsoo Kim, Su Jong Yu, Injun Yeo, Young Youn Cho, Dong Hyeon Lee, Yuri Cho, Eun Ju Cho, Jeong-Hoon Lee, Yoon Jun Kim, Sungyoung Lee, Jongsoo Jun, Taesung Park, Jung-Hwan Yoon  Correspondence email and View ORCID ProfileYoungsoo Kim  Correspondence email
Molecular & Cellular Proteomics July 1, 2017, First published on May 26, 2017, 16 (7) 1312-1323; https://doi.org/10.1074/mcp.M116.066704
Hyunsoo Kim
From the ‡Department of Biomedical Engineering; §Institute of Medical and Biological Engineering, Medical Research Center, and
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Su Jong Yu
¶Department of Internal Medicine and Liver Research Institute, Yongon-Dong, Seoul 110-799 Korea;
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Injun Yeo
From the ‡Department of Biomedical Engineering;
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Young Youn Cho
¶Department of Internal Medicine and Liver Research Institute, Yongon-Dong, Seoul 110-799 Korea;
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Dong Hyeon Lee
¶Department of Internal Medicine and Liver Research Institute, Yongon-Dong, Seoul 110-799 Korea;
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Yuri Cho
¶Department of Internal Medicine and Liver Research Institute, Yongon-Dong, Seoul 110-799 Korea;
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Eun Ju Cho
¶Department of Internal Medicine and Liver Research Institute, Yongon-Dong, Seoul 110-799 Korea;
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Jeong-Hoon Lee
¶Department of Internal Medicine and Liver Research Institute, Yongon-Dong, Seoul 110-799 Korea;
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Yoon Jun Kim
¶Department of Internal Medicine and Liver Research Institute, Yongon-Dong, Seoul 110-799 Korea;
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Sungyoung Lee
‖Interdisciplinary program in Bioinformatics and
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Jongsoo Jun
**Department of Statistics, Seoul National University, Daehak-dong, Seoul 151-742 Korea
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Taesung Park
‖Interdisciplinary program in Bioinformatics and **Department of Statistics, Seoul National University, Daehak-dong, Seoul 151-742 Korea
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Jung-Hwan Yoon
¶Department of Internal Medicine and Liver Research Institute, Yongon-Dong, Seoul 110-799 Korea;
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  • For correspondence: biolab@snu.ac.kr yoonjh@snu.ac.kr
Youngsoo Kim
From the ‡Department of Biomedical Engineering; §Institute of Medical and Biological Engineering, Medical Research Center, and
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  • ORCID record for Youngsoo Kim
  • For correspondence: biolab@snu.ac.kr yoonjh@snu.ac.kr
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Abstract

Sorafenib is the only standard treatment for unresectable hepatocellular carcinoma (HCC), but it provides modest survival benefits over placebo, necessitating predictive biomarkers of the response to sorafenib. Serum samples were obtained from 115 consecutive patients with HCC before sorafenib treatment and analyzed by multiple reaction monitoring-mass spectrometry (MRM-MS) and ELISA to quantify candidate biomarkers. We verified a triple-marker panel to be predictive of the response to sorafenib by MRM-MS, comprising CD5 antigen-like (CD5L), immunoglobulin J (IGJ), and galectin-3-binding protein (LGALS3BP), in HCC patients. This panel was a significant predictor (AUROC > 0.950) of the response to sorafenib treatment, having the best cut-off value (0.4) by multivariate analysis. In the training set, patients who exceeded this cut-off value had significantly better overall survival (median, 21.4 months) than those with lower values (median, 8.6 months; p = 0.001). Further, a value that was lower than this cutoff was an independent predictor of poor overall survival [hazard ratio (HR), 2.728; 95% confidence interval (CI), 1.312–5.672; p = 0.007] and remained an independent predictive factor of rapid progression (HR, 2.631; 95% CI, 1.448–4.780; p = 0.002). When applied to the independent validation set, levels of the cut-off value for triple-marker panel maintained their prognostic value for poor clinical outcomes. On the contrast, the triple-marker panel was not a prognostic factor for patients who were treated with transarterial chemoembolization (TACE). The discriminatory signature of a triple-marker panel provides new insights into targeted proteomic biomarkers for individualized sorafenib therapy.

Footnotes

  • Author contributions: H. Kim, S.J. Yu, J.-H. Yoon, and Y. Kim contributed to study concept and design; H. Kim, S.J. Yu, I. Yeo, J.-J. Yoo, D.H. Lee, Y. Cho, E.J. Cho, J.-H. Lee, and Y.J. Kim contributed to acquisition of data; H. Kim, S.J. Yu, S. Lee, J. Jun, and T. Park contributed to statistical analysis; H. Kim, S.J. Yu, J.-H. Yoon, and Y. Kim contributed to drafting of the manuscript.

  • ↵* This work was supported by the Multi-omics Research Program, a National Research Foundation grant (No. 2011-0030740), the Industrial Strategic Technology Development Program (#10045352), the Korea Health Technology R&D Project (No. HI14C2640), and grants from the SNUH Research Fund (No. 04-2013-0830) and the Liver Research Foundation of Korea.

  • ↵Embedded Image This article contains supplemental material.

  • Received December 23, 2016.
  • Revision received May 10, 2017.
  • © 2017 by The American Society for Biochemistry and Molecular Biology, Inc.
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Prediction of Response to Sorafenib in Hepatocellular Carcinoma: A Putative Marker Panel by Multiple Reaction Monitoring-Mass Spectrometry (MRM-MS)
Hyunsoo Kim, Su Jong Yu, Injun Yeo, Young Youn Cho, Dong Hyeon Lee, Yuri Cho, Eun Ju Cho, Jeong-Hoon Lee, Yoon Jun Kim, Sungyoung Lee, Jongsoo Jun, Taesung Park, Jung-Hwan Yoon, Youngsoo Kim
Molecular & Cellular Proteomics July 1, 2017, First published on May 26, 2017, 16 (7) 1312-1323; DOI: 10.1074/mcp.M116.066704

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Prediction of Response to Sorafenib in Hepatocellular Carcinoma: A Putative Marker Panel by Multiple Reaction Monitoring-Mass Spectrometry (MRM-MS)
Hyunsoo Kim, Su Jong Yu, Injun Yeo, Young Youn Cho, Dong Hyeon Lee, Yuri Cho, Eun Ju Cho, Jeong-Hoon Lee, Yoon Jun Kim, Sungyoung Lee, Jongsoo Jun, Taesung Park, Jung-Hwan Yoon, Youngsoo Kim
Molecular & Cellular Proteomics July 1, 2017, First published on May 26, 2017, 16 (7) 1312-1323; DOI: 10.1074/mcp.M116.066704
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Molecular & Cellular Proteomics: 16 (7)
Molecular & Cellular Proteomics
Vol. 16, Issue 7
1 Jul 2017
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