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Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
Published on: February 21, 2015
CGH arrays compared for DNA isolated from formalin-fixed, paraffin-embedded material
Oscar Krijgsman1, Danielle Israeli, Josien C Haan
1Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
Genes, Chromosomes & Cancer
|December 14, 2011
Summary
Array comparative genomic hybridization (aCGH) analysis of DNA from formalin-fixed, paraffin-embedded (FFPE) tissues is feasible across multiple platforms. All tested platforms provided reproducible results, even with reduced DNA input from FFPE samples.
Area of Science:
- Genomics
- Cancer Research
- Molecular Biology
Background:
- Formalin-fixed, paraffin-embedded (FFPE) archival tissue is a valuable source for DNA extraction.
- Array comparative genomic hybridization (aCGH) is a key technique for identifying copy number aberrations in tumorigenesis.
- Copy number analysis from FFPE-derived DNA presents unique challenges but yields reproducible results.
Purpose of the Study:
- To compare commercially available aCGH platforms for high-resolution copy number analysis using FFPE-derived DNA.
- Evaluate platform performance based on median absolute deviation (MAD), deflection, signal-to-noise ratio, and DNA input requirements.
- Assess the feasibility and reproducibility of copy number analysis from FFPE samples across different platforms.
Main Methods:
- Evaluation of two dual-channel aCGH platforms (Agilent, NimbleGen) and one single-channel SNP-based platform (Affymetrix).
- Analysis of seven FFPE colon cancer samples.
- Quality assessment using median absolute deviation (MAD), deflection, signal-to-noise ratio, and DNA input needs.
Main Results:
- Agilent and NimbleGen demonstrated superior Median Absolute Deviation (MAD) values (0.13) compared to Affymetrix (0.22).
- Affymetrix exhibited a better deflection (0.94) than Agilent (0.71) and NimbleGen (0.51).
- All platforms achieved comparable signal-to-noise ratios, and high-quality profiles were obtained even with DNA input below recommended levels.
Conclusions:
- Copy number analysis from FFPE archival material is feasible using Agilent, NimbleGen, and Affymetrix platforms.
- Reproducible results can be achieved across these platforms, irrespective of DNA input amounts.
- FFPE-derived DNA is a viable source for high-resolution copy number analysis in cancer research.

