2004
DOI: 10.1158/0008-5472.can-04-1275
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Distinct Chromosomal Bias of Gene Expression Signatures in the Progression of Hepatocellular Carcinoma

Abstract: To identify the chromosomal aberrations associated with the progression of liver cancer, we applied expression imbalance map analysis to gene expression data from 31 hepatocellular carcinomas and 19 noncancerous tissues. Expression imbalance map analysis, which detects mRNA expression imbalance correlated with chromosomal regions, showed that expression gains of 1q21-23 (74%), 8q13-21 (48%), 12q23-24 (41%), 17q12-21(48%), 17q25 (25%), and 20q11 (22%) and losses of 4q13 (48%), 8p12-21 (32%), 13q14 (32%), and 17… Show more

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Cited by 52 publications
(39 citation statements)
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“…We demonstrated the robustness of GIM analysis based on genotyping arrays in the accurate analysis of copy number alterations and allelic imbalance in the cancer genome in a single experiment. Furthermore, by integrating the gene expression data with genomic alterations, we have demonstrated that genomic alterations are reflected in the gene expression profile (Kano et al, 2003;Midorikawa et al, 2004). Our results confirmed a positive correlation between genome dosage and transcription.…”
Section: Introductionsupporting
confidence: 73%
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“…We demonstrated the robustness of GIM analysis based on genotyping arrays in the accurate analysis of copy number alterations and allelic imbalance in the cancer genome in a single experiment. Furthermore, by integrating the gene expression data with genomic alterations, we have demonstrated that genomic alterations are reflected in the gene expression profile (Kano et al, 2003;Midorikawa et al, 2004). Our results confirmed a positive correlation between genome dosage and transcription.…”
Section: Introductionsupporting
confidence: 73%
“…To confirm these observations, the effects of genome imbalance on the transcriptome were validated by direct comparison with expression data from the same samples in the present study. Previously, we also demonstrated stepwise chromosomal expression changes in the progression of HCC (Midorikawa et al, 2004), that is, expression gain in 1q and 8p, and loss of 8p, 13q and 17p were observed in well-differentiated liver cancer, whereas expression gains in 12q, 17q and 20q, and reduction in 4q were demonstrated only in advanced HCC. On the other hand, GIM showed frequent allelic gains at 1q, 5q, 6p and 8q, and LOH at 8p and 16q regardless of cancer differentiation grade, and gains at 12q and LOH at 15q were detected specifically in poorly differentiated tumors.…”
Section: Discussionmentioning
confidence: 60%
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“…A previous report showed genomic alterations in liver cancer using CGH analyses and frequent gains were observed in 1q, 6p, 8q, and 17q, whereas losses were observed in 4q, 8p, 13q, 16q, and 17p. In addition to these gained locations, 20p11 was also present in some liver cancer tissue 18 . Moreover, five BAC clones for this experiment were found listed in BAC array CGH, but only Jagged1 gene was a candidate because the different expression patterns were associated with the AFP-producing status of hepatoma cells using microarray.…”
Section: Discussionmentioning
confidence: 97%
“…Pajunen et al (1987Pajunen et al ( , 1988 assigned the gene to chromosome 17, specifically, 17q23 -q25. The chromosomal aberration of this region may be involved in carcinogenesis in the tylosis with oesophageal cancer (TOC) (Shahabi et al, 2004) and liver cancer (Midorikawa et al, 2004).…”
Section: Discussionmentioning
confidence: 99%