RT Journal Article SR Electronic T1 CYP3A4 Gene Is a Novel Biomarker for Predicting a Poor Prognosis in Hepatocellular Carcinoma JF Cancer Genomics - Proteomics JO Cancer Genomics Proteomics FD International Institute of Anticancer Research SP 445 OP 453 VO 14 IS 6 A1 RYO ASHIDA A1 YUKIYASU OKAMURA A1 KEIICHI OHSHIMA A1 YUKO KAKUDA A1 KATSUHIKO UESAKA A1 TEIICHI SUGIURA A1 TAKAAKI ITO A1 YUSUKE YAMAMOTO A1 TAKASHI SUGINO A1 KENICHI URAKAMI A1 MASATOSHI KUSUHARA A1 KEN YAMAGUCHI YR 2017 UL http://cgp.iiarjournals.org/content/14/6/445.abstract AB 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.