A Novel Method for Gene Expression Mapping of Metastatic Competence in Human Bladder Cancer

Expression profiling by DNA microarray analysis has provided insights into molecular alterations that underpin cancer progression and metastasis. Although differential expression of microarray-defined probes can be related to numerical or structural chromosomal alterations, it is unclear if such cha...

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Veröffentlicht in:	Neoplasia (New York, N.Y.) N.Y.), 2006-03, Vol.8 (3), p.181-189
Hauptverfasser:	Wu, Z., Siadaty, M.S., Riddick, G., Frierson, H.F., Lee, J.K., Golden, W., Knuutila, S., Hampton, G.M., El-Rifai, W., Theodorescu, D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Aneuploidy Animals Bladder neoplasms Carcinoma, Transitional Cell - genetics Carcinoma, Transitional Cell - metabolism Carcinoma, Transitional Cell - pathology Carcinoma, Transitional Cell - secondary Chromosome Aberrations Chromosome Mapping Chromosomes, Human - genetics comparative genomic hybridization Disease Progression DNA, Neoplasm - genetics gene expression Gene Expression Profiling - methods Gene Expression Regulation, Neoplastic Humans karyotype Karyotyping Lung Neoplasms - genetics Lung Neoplasms - metabolism Lung Neoplasms - secondary metastasis Mice Mice, Nude Neoplasm Proteins - biosynthesis Neoplasm Proteins - genetics Neoplasm Transplantation Nucleic Acid Hybridization Oligonucleotide Array Sequence Analysis Proportional Hazards Models Transplantation, Heterologous Urinary Bladder Neoplasms - genetics Urinary Bladder Neoplasms - metabolism Urinary Bladder Neoplasms - pathology
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Zusammenfassung:	Expression profiling by DNA microarray analysis has provided insights into molecular alterations that underpin cancer progression and metastasis. Although differential expression of microarray-defined probes can be related to numerical or structural chromosomal alterations, it is unclear if such changes are also clustered in distinct chromosomes or genomic regions and whether chromosomal alterations always reflect changes in gene expression. Here we apply the dChip algorithm and a novel technique to test the hypothesis that expression changes occurring as a function of tumor progression and metastasis are nonrandomly distributed. Expression profiling of a human xenograff model of lung metastasis phenotype indicates that chromosomes 2, 11, and 20 contain higher percentages of differentially expressed genes (P
ISSN:	1476-5586 1476-5586 1522-8002
DOI:	10.1593/neo.05727