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- 저자 : ( Hongdu Gu ) (검색결과 1 건)
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( Jung-hee Kwon ),( Keun Soo Ahn ),( Yun Suk Yu ),( Jin Young Park ),( Gundo Kim ),( Seung Whan Kim ),( Hongdu Gu ),( Hee Jung Wang ),( Jae Won Joh ),( Koo Jeong Kang ) 대한간학회 2016 춘·추계 학술대회 (KASL) Vol.2016 No.1
Aims: In the previous array-based analysis of gene expression and DNA methylation associated with recurrence of HCC, up-and down-regulating genes affecting on the HCC recurrence were extracted, that was reported already by our cooperative group. Methods: In this study, we validated the down-expressed and hyper- methylated genes (MRPL4, PCDHB11, SN2, CYGB, HSD17B6) and an overexpressed and hypo-methylated gene(NMB) in independent cohort(n=90) using HCC tissues and paired normal liver tissues collected from multicenter in Korea. We measured gene expression of the six genes using real time RT-PCR from the normal and HCC tissues, analyzed correlation of prognosis and gene expression between tumor and non-tumor tissues using student t-test and their prognostic significance using Cox regression analysis. Results: Out of six genes, CYGB and PCDHB11 were little expressed in both tumor and non-tumor, which is not consistent with our previous result. In apart, GPSN2 and MRPL4 were over expressed in tumor tissues in comparison to normal.(p<0.0001) However NMB was overexpressed in tumor tissue than in non-tumor tissue.(p=0.0002) as same as the previous resuIt. HSD17B6 was down-regulated, but is not significant (p=0.5980), in tumor tissues compared to the non-tumor tissues. Regarding three significant genes(GPSN2, MRPL4, NMB) in t-test, the patients who have low expression of GPSN2 has shown higher recurrence rate(p=0.0458), the patients who have higher expression group of MRPL4 shows higher recurrence rate.(P=0.0385). The high expression group of NMB shows higher recurrence rate (P=0.04417) and shorter disease free survival rate(P=0.168) In the univariate cox-regression analysis of significant genes and clinical parameters, GPSN2, MRPL4 and NMB were significant with Edmonson-Steiner grade, HBV positivity, high AFP level, tumor state and vascular invasion. In multivariate analysis, only NMB was an independent prognostic factor.(p=0.031) Conclusions: In our study of gene expression and its correlation with clinical markers on the basis of microarray thereafter with quantitative assay of the specific markers, validation is very important for the next step validation with high volume data set. A gene that we validated may have significant role in the prognosis of HCC.
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