Literature DB >> 28550167

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

Hyunsoo Kim1,2, Su Jong Yu3, Injun Yeo1, Young Youn Cho3, Dong Hyeon Lee3, Yuri Cho3, Eun Ju Cho3, Jeong-Hoon Lee3, Yoon Jun Kim3, Sungyoung Lee4, Jongsoo Jun5, Taesung Park4,5, Jung-Hwan Yoon6, Youngsoo Kim7,2.   

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.
© 2017 by The American Society for Biochemistry and Molecular Biology, Inc.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28550167      PMCID: PMC5500763          DOI: 10.1074/mcp.M116.066704

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  40 in total

1.  New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada.

Authors:  P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther
Journal:  J Natl Cancer Inst       Date:  2000-02-02       Impact factor: 13.506

2.  Circulating immunostimulatory protein 90K and soluble interleukin-2-receptor in human ovarian cancer.

Authors:  A G Zeimet; C Natoli; M Herold; D Fuchs; G Windbichler; G Daxenbichler; S Iacobelli; O Dapunt; C Marth
Journal:  Int J Cancer       Date:  1996-09-27       Impact factor: 7.396

3.  Development of glycoprotein capture-based label-free method for the high-throughput screening of differential glycoproteins in hepatocellular carcinoma.

Authors:  Rui Chen; Yexiong Tan; Min Wang; Fangjun Wang; Zhenzhen Yao; Liwei Dong; Mingliang Ye; Hongyang Wang; Hanfa Zou
Journal:  Mol Cell Proteomics       Date:  2011-04-07       Impact factor: 5.911

4.  Standard operating procedures for serum and plasma collection: early detection research network consensus statement standard operating procedure integration working group.

Authors:  Melissa K Tuck; Daniel W Chan; David Chia; Andrew K Godwin; William E Grizzle; Karl E Krueger; William Rom; Martin Sanda; Lynn Sorbara; Sanford Stass; Wendy Wang; Dean E Brenner
Journal:  J Proteome Res       Date:  2009-01       Impact factor: 4.466

5.  LiverAtlas: a unique integrated knowledge database for systems-level research of liver and hepatic disease.

Authors:  Yanqiong Zhang; Chunyuan Yang; Shaochuang Wang; Tao Chen; Mansheng Li; Xue Wang; Dongsheng Li; Kang Wang; Jie Ma; Songfeng Wu; Xueli Zhang; Yunping Zhu; Jinsheng Wu; Fuchu He
Journal:  Liver Int       Date:  2013-04-21       Impact factor: 5.828

Review 6.  Application of 'omics technologies to biomarker discovery in inflammatory lung diseases.

Authors:  Craig E Wheelock; Victoria M Goss; David Balgoma; Ben Nicholas; Joost Brandsma; Paul J Skipp; Stuart Snowden; Dominic Burg; Arnaldo D'Amico; Ildiko Horvath; Amphun Chaiboonchoe; Hassan Ahmed; Stéphane Ballereau; Christos Rossios; Kian Fan Chung; Paolo Montuschi; Stephen J Fowler; Ian M Adcock; Anthony D Postle; Sven-Erik Dahlén; Anthony Rowe; Peter J Sterk; Charles Auffray; Ratko Djukanovic
Journal:  Eur Respir J       Date:  2013-02-08       Impact factor: 16.671

7.  Hepatocellular carcinoma treated with sorafenib: early detection of treatment response and major adverse events by contrast-enhanced US.

Authors:  Katsutoshi Sugimoto; Fuminori Moriyasu; Kazuhiro Saito; Nicolas Rognin; Naohisa Kamiyama; Yoshihiro Furuichi; Yasuharu Imai
Journal:  Liver Int       Date:  2013-01-11       Impact factor: 5.828

8.  Impact of pretreatment serum cholinesterase level in unresectable advanced hepatocellular carcinoma patients treated with sorafenib.

Authors:  Haruhiko Takeda; Hiroki Nishikawa; Eriko Iguchi; Yoshiaki Ohara; Azusa Sakamoto; Keiichi Hatamaru; Shinichiro Henmi; Sumio Saito; Akihiro Nasu; Hideyuki Komekado; Ryuichi Kita; Toru Kimura; Yukio Osaki
Journal:  Mol Clin Oncol       Date:  2012-12-03

9.  Management of hepatocellular carcinoma: an update.

Authors:  Jordi Bruix; Morris Sherman
Journal:  Hepatology       Date:  2011-03       Impact factor: 17.425

10.  Antibody colocalization microarray: a scalable technology for multiplex protein analysis in complex samples.

Authors:  M Pla-Roca; R F Leulmi; S Tourekhanova; S Bergeron; V Laforte; E Moreau; S J C Gosline; N Bertos; M Hallett; M Park; D Juncker
Journal:  Mol Cell Proteomics       Date:  2011-12-14       Impact factor: 5.911

View more
  3 in total

1.  Drug response prediction model using a hierarchical structural component modeling method.

Authors:  Sungtae Kim; Sungkyoung Choi; Jung-Hwan Yoon; Youngsoo Kim; Seungyeoun Lee; Taesung Park
Journal:  BMC Bioinformatics       Date:  2018-08-13       Impact factor: 3.169

2.  Whole transcriptome targeted gene quantification provides new insights on pulmonary sarcomatoid carcinomas.

Authors:  Greta Alì; Rossella Bruno; Anello Marcello Poma; Ornella Affinito; Antonella Monticelli; Paolo Piaggi; Sara Ricciardi; Marco Lucchi; Franca Melfi; Antonio Chella; Sergio Cocozza; Gabriella Fontanini
Journal:  Sci Rep       Date:  2019-03-05       Impact factor: 4.379

3.  Analysis of significant protein abundance from multiple reaction-monitoring data.

Authors:  Jongsu Jun; Jungsoo Gim; Yongkang Kim; Hyunsoo Kim; Su Jong Yu; Injun Yeo; Jiyoung Park; Jeong-Ju Yoo; Young Youn Cho; Dong Hyeon Lee; Eun Ju Cho; Jeong-Hoon Lee; Yoon Jun Kim; Seungyeoun Lee; Jung-Hwan Yoon; Youngsoo Kim; Taesung Park
Journal:  BMC Syst Biol       Date:  2018-12-31
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.