Literature DB >> 18303412

Optimization of the Affymetrix GeneChip Mapping 10K 2.0 Assay for routine clinical use on formalin-fixed paraffin-embedded tissues.

Maureen Lyons-Weiler1, Jill Hagenkord, Christin Sciulli, Rajiv Dhir, Federico A Monzon.   

Abstract

The use of chromosomal copy number changes as markers for tumor behavior or as prognostic markers for patient outcome has been suggested. However, current clinically used technologies cannot perform genome-wide assessment of chromosome copy number and analysis of loss of heterozygosity in the same assay for paraffin-embedded tissue. We have optimized the Affymetrix GeneChip Mapping Assay for the 10K 2.0 array for use with formalin-fixed, paraffin-embedded (FFPE) tissues. This technology uses single nucleotide polymorphism (SNP) arrays to assess the changes in chromosomal copy number and loss of heterozygosity. DNA from 3 paired tumor/normal samples of adrenal tumors and 4 samples of renal tumors were processed with modifications to the manufacturer's protocol. Modifications at different steps were evaluated for their effects on SNP signal-detection and call rates. Frozen samples showed 99.6%+/-0.3% signal-detection rates and 94.7%+/-3.0% SNP call rates. FFPE samples labeled with the original protocol failed to produce enough polymerase chain reaction products for hybridization, whereas the same samples processed with the optimized protocol had signal-detection rates of 97.4%+/-0.018% and SNP call rates of 90.9%+/-0.034%. The average SNP call concordance between fresh and matching FFPE samples was 96%. Chromosomal aberrations detected in the frozen tumors were also detected in the FFPE tissues. Our optimized protocol significantly improves the performance of the FFPE samples in the Affymetrix GeneMapping Assay with the 10K 2.0 SNP array. This optimized protocol opens up the potential for the GeneChip Mapping assay to be used in the development of clinical test assays.

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Year:  2008        PMID: 18303412     DOI: 10.1097/PDM.0b013e31815aca30

Source DB:  PubMed          Journal:  Diagn Mol Pathol        ISSN: 1052-9551


  11 in total

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2.  Genomic changes in gliomas detected using single nucleotide polymorphism array in formalin-fixed, paraffin-embedded tissue: superior results compared with microsatellite analysis.

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4.  Genomic imbalances in benign metastasizing leiomyoma: characterization by conventional karyotypic, fluorescence in situ hybridization, and whole genome SNP array analysis.

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5.  Intestinal γδ T-cell lymphomas are most frequently of type II enteropathy-associated T-cell type.

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6.  The neuroblastoma and ganglion components of nodular ganglioneuroblastoma are genetically similar: evidence against separate clonal origins.

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7.  A novel SNP analysis method to detect copy number alterations with an unbiased reference signal directly from tumor samples.

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Review 8.  Not All Next Generation Sequencing Diagnostics are Created Equal: Understanding the Nuances of Solid Tumor Assay Design for Somatic Mutation Detection.

Authors:  Phillip N Gray; Charles L M Dunlop; Aaron M Elliott
Journal:  Cancers (Basel)       Date:  2015-07-17       Impact factor: 6.639

9.  High quality copy number and genotype data from FFPE samples using Molecular Inversion Probe (MIP) microarrays.

Authors:  Yuker Wang; Victoria E H Carlton; George Karlin-Neumann; Ronald Sapolsky; Li Zhang; Martin Moorhead; Zhigang C Wang; Andrea L Richardson; Robert Warren; Axel Walther; Melissa Bondy; Aysegul Sahin; Ralf Krahe; Musaffe Tuna; Patricia A Thompson; Paul T Spellman; Joe W Gray; Gordon B Mills; Malek Faham
Journal:  BMC Med Genomics       Date:  2009-02-19       Impact factor: 3.063

10.  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
Journal:  Diagn Pathol       Date:  2008-11-06       Impact factor: 2.644

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