Stem Cell Markers Predict the Response to Sorafenib in Patients with Hepatocellular Carcinoma

Sorafenib remains the only approved molecular targeted agent for hepatocellular carcinoma (HCC); however, reliable biomarkers that predict its efficacy are still lacking. The aim of this study was to explore whether cancer stem cell (CSC) markers have a predictive role with regard to the sorafenib r...

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Veröffentlicht in:Gut and liver 2019, 13(3), , pp.342-348
Hauptverfasser: Kim, Bo Hyun, Park, Joong-Won, Kim, Jin Sook, Lee, Sook-Kyung, Hong, Eun Kyung
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Sprache:eng
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Zusammenfassung:Sorafenib remains the only approved molecular targeted agent for hepatocellular carcinoma (HCC); however, reliable biomarkers that predict its efficacy are still lacking. The aim of this study was to explore whether cancer stem cell (CSC) markers have a predictive role with regard to the sorafenib response in HCC patients. We enrolled 47 patients with HCC for whom tumor samples obtained before starting sorafenib treatment were available. RNA was extracted from formalin-fixed, paraffin-embedded samples, and real-time polymerase chain reaction was used to quantify mRNA expression of the CSC genes , and . Of 47 patients, 14.9% and 74.5% had vascular invasion and extrahepatic spread, respectively. Patients with low expression tended to have longer progression-free survival (PFS) than those with high expression (5.5 months vs 4.0 months), although without statistical significance. The expression levels of other markers were not associated with PFS. When examining markers in combination, patients with high and expression had shorter PFS rates than those with low expression (2.7 months vs 5.5 months; p=0.04). Patients with low and expression demonstrated better PFS than those with high expression (7.0 months vs 4.2 months; p=0.04). Multivariable analysis indicated that an Eastern Cooperative Oncology Group performance status score of 1 and high expression were significantly associated with shorter PFS. Overexpression of the CSC markers and in HCC was associated with poorer response to sorafenib. These two genes may serve as predictive biomarkers for sorafenib therapy.
ISSN:1976-2283
2005-1212
DOI:10.5009/gnl18345