Gene Expression in Kidney Cancer Is Associated with Cytogenetic Abnormalities, Metastasis Formation, and Patient Survival

Current diagnosis of renal cancer consists of histopathologic examination of tissue sections and classification into tumor stages and grades of malignancy. Until recently, molecular differences between tumor types were largely unknown. To examine such differences, we did gene expression measurements...

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Bibliographic Details
Published inClinical cancer research Vol. 11; no. 2; pp. 646 - 655
Main Authors SÜLTMANN, Holger, VON HEYDEBRECK, Anja, HUBER, Wolfgang, KUNER, Ruprecht, BUNESS, Andreas, VOGT, Markus, GUNAWAN, Bastian, VINGRON, Martin, FÜZESI, Laszlo, POUSTKA, Annemarie
Format Journal Article
LanguageEnglish
Published Philadelphia, PA American Association for Cancer Research 15.01.2005
Subjects
Adult
Aged
Aged, 80 and over
Antineoplastic agents
Biological and medical sciences
Biomarkers, Tumor - metabolism
Carcinoma, Renal Cell - genetics
Carcinoma, Renal Cell - mortality
Carcinoma, Renal Cell - secondary
Chromosome Aberrations
Cytogenetic Analysis
Female
gene expression
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Humans
Kidney Neoplasms - genetics
Kidney Neoplasms - mortality
Kidney Neoplasms - pathology
Male
Medical sciences
Middle Aged
Neoplasm Staging
Oligonucleotide Array Sequence Analysis
Pharmacology. Drug treatments
renal cell carcinoma
Human
Toxicity
Kidney cancer
Cytogenetics
Malignant tumor
Metastasis
Gene expression
Survival
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Summary:Current diagnosis of renal cancer consists of histopathologic examination of tissue sections and classification into tumor stages and grades of malignancy. Until recently, molecular differences between tumor types were largely unknown. To examine such differences, we did gene expression measurements of 112 renal cell carcinoma and normal kidney samples on renal cell carcinoma–specific cDNA microarrays containing 4,207 genes and expressed sequence tags. The gene expression patterns showed deregulation of complete biological pathways in the tumors. Many of the molecular changes corresponded well to the histopathologic tumor types, and a set of 80 genes was sufficient to classify tumors with a very low error rate. Distinct gene expression signatures were associated with chromosomal abnormalities of tumor cells, metastasis formation, and patient survival. The data highlight the benefit of microarrays to detect novel tumor classes and to identify genes that are associated with patient variables and tumor properties.
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ISSN:1078-0432
1557-3265
DOI:10.1158/1078-0432.646.11.2