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Novel biomarker-based model for the prediction of sorafenib response and overall survival in advanced hepatocellular carcinoma: a prospective cohort study
DC Field | Value | Language |
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dc.contributor.author | Kim, Hwi Young | - |
dc.contributor.author | Lee, Dong Hyeon | - |
dc.contributor.author | Lee, Jeong-Hoon | - |
dc.contributor.author | Cho, Young Youn | - |
dc.contributor.author | Cho, Eun Ju | - |
dc.contributor.author | Yu, Su Jong | - |
dc.contributor.author | Kim, Yoon Jun | - |
dc.contributor.author | Yoon, Jung-Hwan | - |
dc.date.accessioned | 2018-05-14T07:52:37Z | - |
dc.date.available | 2018-05-14T16:53:33Z | - |
dc.date.issued | 2018-03-20 | - |
dc.identifier.citation | BMC Cancer, 18(1):307 | ko_KR |
dc.identifier.issn | 1471-2407 | - |
dc.identifier.uri | https://hdl.handle.net/10371/139757 | - |
dc.description.abstract | Background
Prediction of the outcome of sorafenib therapy using biomarkers is an unmet clinical need in patients with advanced hepatocellular carcinoma (HCC). The aim was to develop and validate a biomarker-based model for predicting sorafenib response and overall survival (OS). Methods This prospective cohort study included 124 consecutive HCC patients (44 with disease control, 80 with progression) with Child-Pugh class A liver function, who received sorafenib. Potential serum biomarkers (namely, hepatocyte growth factor [HGF], fibroblast growth factor [FGF], vascular endothelial growth factor receptor-1, CD117, and angiopoietin-2) were tested. After identifying independent predictors of tumor response, a risk scoring system for predicting OS was developed and 3-fold internal validation was conducted. Results A risk scoring system was developed with six covariates: etiology, platelet count, Barcelona Clinic Liver Cancer stage, protein induced by vitamin K absence-II, HGF, and FGF. When patients were stratified into low-risk (score ≤ 5), intermediate-risk (score 6), and high-risk (score ≥ 7) groups, the model provided good discriminant functions on tumor response (concordance [c]-index, 0.884) and 12-month survival (area under the curve [AUC], 0.825). The median OS was 19.0, 11.2, and 6.1months in the low-, intermediate-, and high-risk group, respectively (P < 0.001). In internal validation, the model maintained good discriminant functions on tumor response (c-index, 0.825) and 12-month survival (AUC, 0.803), and good calibration functions (all P > 0.05 between expected and observed values). Conclusions This new model including serum FGF and HGF showed good performance in predicting the response to sorafenib and survival in patients with advanced HCC. | ko_KR |
dc.description.sponsorship | This work was funded by Doosan Yonkang Foundation (Grant No. 30–2016-0240), Liver Research Foundation of Korea as part of Bio Future Strategies Research Project, and Ewha Womans University research grant (2016). The funding bodies had no role in the design of the study, collection, analysis, and interpretation of data and in writing of the manuscript. | ko_KR |
dc.language.iso | en | ko_KR |
dc.publisher | BioMed Central | ko_KR |
dc.subject | Hepatocellular carcinoma | ko_KR |
dc.subject | Sorafenib | ko_KR |
dc.subject | Response | ko_KR |
dc.subject | Biomarker | ko_KR |
dc.subject | Prediction | ko_KR |
dc.title | Novel biomarker-based model for the prediction of sorafenib response and overall survival in advanced hepatocellular carcinoma: a prospective cohort study | ko_KR |
dc.type | Article | ko_KR |
dc.contributor.AlternativeAuthor | 김희영 | - |
dc.contributor.AlternativeAuthor | 이동현 | - |
dc.contributor.AlternativeAuthor | 이정훈 | - |
dc.contributor.AlternativeAuthor | 조영윤 | - |
dc.contributor.AlternativeAuthor | 조은주 | - |
dc.contributor.AlternativeAuthor | 유수종 | - |
dc.contributor.AlternativeAuthor | 김윤준 | - |
dc.contributor.AlternativeAuthor | 윤정환 | - |
dc.identifier.doi | 10.1186/s12885-018-4211-2 | - |
dc.language.rfc3066 | en | - |
dc.rights.holder | The Author(s). | - |
dc.date.updated | 2018-03-25T05:30:53Z | - |
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