title: Feature genes of hepatitis B virus-positive hepatocellular carcinoma, established by its molecular discrimination approach using prediction analysis of microarray.
abstract: Recent introduction of a learning algorithm for cDNA microarray analysis has permitted to select feature set to accurately distinguish human cancers according to their pathological judgments. Here, we demonstrate that hepatitis B virus-positive hepatocellular carcinoma (HCC) could successfully be identified from non-tumor liver tissues by supervised learning analysis of gene expression profiling. Through learning and cross-validating HCC sample set, we could identify an optimized set of 44 genes to discriminate the status of HCC from non-tumor liver tissues. In an analysis of other blind-tested HCC sample sets, this feature set was found to be statistically significant, indicating the reproducibility of our molecular discrimination approach with the defined genes. One prominent finding was an asymmetrical distribution pattern of expression profiling in HCC, in which the number of down-regulated genes was greater than that of up-regulated genes. In conclusion, the present findings indicate that application of learning algorithm to HCC may establish a reliable feature set of genes to be useful for therapeutic target of HCC, and that the asymmetric expression pattern may emphasize the importance of suppressed genes in HCC.
authors.affiliation: Laboratory of Molecular Oncology, Korea Institute of Radiological and Medical Sciences, 215-4 Gongneung-Dong, Nowon-Ku, Seoul 139-706, Korea.
authors.forename: Bu-Yeo
authors.initials: BY
authors.lastname: Kim
authors.forename: Je-Geun
authors.initials: JG
authors.lastname: Lee
authors.forename: Sunhoo
authors.initials: S
authors.lastname: Park
authors.forename: Jae-Yeon
authors.initials: JY
authors.lastname: Ahn
authors.forename: Yeun-Jin
authors.initials: YJ
authors.lastname: Ju
authors.forename: Jin-Haeng
authors.initials: JH
authors.lastname: Chung
authors.forename: Chul Ju
authors.initials: CJ
authors.lastname: Han
authors.forename: Sook-Hyang
authors.initials: SH
authors.lastname: Jeong
authors.forename: Young Il
authors.initials: YI
authors.lastname: Yeom
authors.forename: Sangsoo
authors.initials: S
authors.lastname: Kim
authors.forename: Yong-Sung
authors.initials: YS
authors.lastname: Lee
authors.forename: Chang-Min
authors.initials: CM
authors.lastname: Kim
authors.forename: Eun-Mi
authors.initials: EM
authors.lastname: Eom
authors.forename: Dong-Hee
authors.initials: DH
authors.lastname: Lee
authors.forename: Kang-Yell
authors.initials: KY
authors.lastname: Choi
authors.forename: Myung-Haing
authors.initials: MH
authors.lastname: Cho
authors.forename: Kyung-Suk
authors.initials: KS
authors.lastname: Suh
authors.forename: Dong-Wook
authors.initials: DW
authors.lastname: Choi
authors.forename: Kee-Ho
authors.initials: KH
authors.lastname: Lee
mesh_terms: D006528:Carcinoma, Hepatocellular / Q000235:genetics* / Q000473:pathology / Q000821:virology; D016000:Cluster Analysis; D020869:Gene Expression Profiling / Q000379:methods; D006515:Hepatitis B virus / Q000235:genetics*; D019694:Hepatitis B, Chronic / Q000235:genetics*; D006801:Humans; D008099:Liver / Q000821:virology; D008113:Liver Neoplasms / Q000235:genetics* / Q000473:pathology / Q000821:virology; D020411:Oligonucleotide Array Sequence Analysis; D011237:Predictive Value of Tests; D015203:Reproducibility of Results