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Published in: Diagnostic Pathology 1/2008

Open Access 01-12-2008 | Research

Virtual karyotyping with SNP microarrays reduces uncertainty in the diagnosis of renal epithelial tumors

Authors: Jill M Hagenkord, Anil V Parwani, Maureen A Lyons-Weiler, Karla Alvarez, Robert Amato, Zoran Gatalica, Jose M Gonzalez-Berjon, Leif Peterson, Rajiv Dhir, Federico A Monzon

Published in: Diagnostic Pathology | Issue 1/2008

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Abstract

Background

Renal epithelial tumors are morphologically, biologically, and clinically heterogeneous. Different morphologic subtypes require specific management due to markedly different prognosis and response to therapy. Each common subtype has characteristic chromosomal gains and losses, including some with prognostic value. However, copy number information has not been readily accessible for clinical purposes and thus has not been routinely used in the diagnostic evaluation of these tumors. This information can be useful for classification of tumors with complex or challenging morphology. 'Virtual karyotypes' generated using SNP arrays can readily detect characteristic chromosomal lesions in paraffin embedded renal tumors and can be used to correctly categorize the common subtypes with performance characteristics that are amenable for routine clinical use.

Methods

To investigate the use of virtual karyotypes for diagnostically challenging renal epithelial tumors, we evaluated 25 archived renal neoplasms where sub-classification could not be definitively rendered based on morphology and other ancillary studies. We generated virtual karyotypes with the Affymetrix 10 K 2.0 mapping array platform and identified the presence of genomic lesions across all 22 autosomes.

Results

In 91% of challenging cases the virtual karyotype unambiguously detected the presence or absence of chromosomal aberrations characteristic of one of the common subtypes of renal epithelial tumors, while immunohistochemistry and fluorescent in situ hybridization had no or limited utility in the diagnosis of these tumors.

Conclusion

These results show that virtual karyotypes generated by SNP arrays can be used as a practical ancillary study for the classification of renal epithelial tumors with complex or ambiguous morphology.
Appendix
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Metadata
Title
Virtual karyotyping with SNP microarrays reduces uncertainty in the diagnosis of renal epithelial tumors
Authors
Jill M Hagenkord
Anil V Parwani
Maureen A Lyons-Weiler
Karla Alvarez
Robert Amato
Zoran Gatalica
Jose M Gonzalez-Berjon
Leif Peterson
Rajiv Dhir
Federico A Monzon
Publication date
01-12-2008
Publisher
BioMed Central
Published in
Diagnostic Pathology / Issue 1/2008
Electronic ISSN: 1746-1596
DOI
https://doi.org/10.1186/1746-1596-3-44

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