TY - JOUR T1 - <em>CYP3A4</em> Gene Is a Novel Biomarker for Predicting a Poor Prognosis in Hepatocellular Carcinoma JF - Cancer Genomics - Proteomics JO - Cancer Genomics Proteomics SP - 445 LP - 453 VL - 14 IS - 6 AU - RYO ASHIDA AU - YUKIYASU OKAMURA AU - KEIICHI OHSHIMA AU - YUKO KAKUDA AU - KATSUHIKO UESAKA AU - TEIICHI SUGIURA AU - TAKAAKI ITO AU - YUSUKE YAMAMOTO AU - TAKASHI SUGINO AU - KENICHI URAKAMI AU - MASATOSHI KUSUHARA AU - KEN YAMAGUCHI Y1 - 2017/11/01 UR - http://cgp.iiarjournals.org/content/14/6/445.abstract N2 - Background/Aim: Project HOPE (High-tech Omics-based Patient Evaluation) began in 2014 using integrated gene expression profiling (GEP) of cancer tissues as well as diathesis of each patient who underwent operation at our Institution. The aim of this study was to identify novel genes displaying altered gene expression related to the survival and early recurrence after hepatectomy for hepatocellular carcinoma (HCC) using the results of integrated GEP analysis. Materials and Methods: The present study included 92 patients. Genes with aberrant expression were selected by the difference of expression levels with ≥10-fold change between tumor and non-tumor tissues. Results. GEP analysis showed that down-regulation was frequently observed in the PRSS8 (64%), CYP3A4 (61%) and EPCAM (57%) genes. Multivariate analysis revealed tumor stage ≥II (p=0.008) and down-regulation of the CYP3A4 gene (p=0.036) as independent predictor for overall survival. Furthermore, multivariate analysis identified maximum tumor diameter ≥74mm (p=0.008), presence of intrahepatic-metastasis (p=0.020), and down-regulation of CYP3A4 gene (p=0.019) as independent predictors for early recurrence. Conclusion: CYP3A4 was identified as a novel tumor suppressor gene related to a poor prognosis in HCC. ER -