ArticleGenome biology2002
Identification of frequent cytogenetic aberrations in hepatocellular carcinoma using gene-expression microarray data.
Article in Genome biology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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28 citing papers in PubMed, 84 citations in OpenAlex.
- Single-cell RNA-seq reveals a distinct transcriptome signature of aneuploid hematopoietic cells.Blood · 2017Trial
- Integrated Bioinformatics Analysis Reveals Key Candidate Genes and Pathways Associated With Clinical Outcome in Hepatocellular Carcinoma.Frontiers in genetics · 2020Article
- An ANCCA/PRO2000-miR-520a-E2F2 regulatory loop as a driving force for the development of hepatocellular carcinoma.Oncogenesis · 2016Article
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- Significance of PRO2000/ANCCA expression, a novel proliferation-associated protein in hepatocellular carcinoma.Cancer cell international · 2014Article
- Identification of biomarkers for hepatocellular carcinoma using network-based bioinformatics methods.European journal of medical research · 2013Article
- Deciphering HIC1 control pathways to reveal new avenues in cancer therapeutics.Expert opinion on therapeutic targets · 2013Review
- Genes with a spike expression are clustered in chromosome (sub)bands and spike (sub)bands have a powerful prognostic value in patients with multiple myeloma.Haematologica · 2012Article
- Characterisation of the cell line HC-AFW1 derived from a pediatric hepatocellular carcinoma.PloS one · 2012Article
- Inter-chromosomal variation in the pattern of human population genetic structure.Human genomics · 2011Article
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- Differential genetic expression in large versus small clear cell renal cell carcinoma: results from microarray analysis.Journal of Cancer · 2011Article
- RNA-Seq analyses generate comprehensive transcriptomic landscape and reveal complex transcript patterns in hepatocellular carcinoma.PloS one · 2011Article
- Proteomic changes resulting from gene copy number variations in cancer cells.PLoS genetics · 2010Article
- Somatic pairing of chromosome 19 in renal oncocytoma is associated with deregulated EGLN2-mediated [corrected] oxygen-sensing response.PLoS genetics · 2008Article
- The E2F3-Oncomir-1 axis is activated in Wilms' tumor.Cancer research · 2008Article
- An improved method for detecting and delineating genomic regions with altered gene expression in cancer.Genome biology · 2008Article
- Genomic expression during human myelopoiesis.BMC genomics · 2007Article
- Combining differential expression, chromosomal and pathway analyses for the molecular characterization of renal cell carcinoma.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2007Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatocellular carcinoma (HCC) is a leading cause of death worldwide. Frequent cytogenetic abnormalities that occur in HCC suggest that tumor-modifying genes (oncogenes or tumor suppressors) may be driving selection for amplification or deletion of these particular genetic regions. In many cases, however, the gene(s) that drive the selection are unknown. Although techniques such as comparative genomic hybridization (CGH) have traditionally been used to identify cytogenetic aberrations, it might also be possible to identify them indirectly from gene-expression studies. A technique we have called comparative genomic microarray analysis (CGMA) predicts regions of cytogenetic change by searching for regional gene-expression biases. CGMA was applied to HCC gene-expression profiles to identify regions of frequent cytogenetic change and to identify genes whose expression is misregulated within these regions.
resultsUsing CGMA, 104 HCC gene-expression microarray profiles were analyzed. CGMA identified 13 regions of frequent cytogenetic change in the HCC samples. Ten of these regions have been detected in previous CGH studies (+lq, -4q, +6p, -8p, +8q, -13q, -16q, -17p, +17q, +20q). CGMA identified three additional regions that have not been previously identified by CGH (+5q, +12q, +19p). Genes located in regions of frequent cytogenetic change were examined for changed expression in the HCC samples.
conclusionsOur results suggest that CGMA predictions using gene-expression microarray datasets are a practical alternative to CGH profiling. In addition, CGMA might be useful for identifying candidate genes within cytogenetically abnormal regions.
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