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Personalized Clinical Trials in Hepatocellular Carcinoma Based on Biomarker Selection
Author(s) -
Bingnan Zhang,
Richard S. Finn
Publication year - 2016
Publication title -
liver cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.916
H-Index - 34
eISSN - 2235-1795
pISSN - 1664-5553
DOI - 10.1159/000367763
Subject(s) - hepatocellular carcinoma , biomarker , medicine , selection (genetic algorithm) , oncology , computer science , biology , artificial intelligence , biochemistry
Since the approval of sorafenib there have been numerous failures of new agents in Phase III studies for treatment of advanced hepatocellular carcinoma (HCC). These studies have generally ignored the molecular heterogeneity of HCC and they have not enrolled patients based on predictive markers of response. The development of molecular targeted therapeutics in HCC needs to model the approach that has been taken with great success in other solid tumors, to decrease the likelihood of failure in future studies.

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