Utilization of microarray platforms in clinical practice: an insight on the preparation and amplification of nucleic acids from frozen and fixed tissues

Analysis of DNA methylation in FFPE tissues using the MethyLight technology

Novel biomarkers are sought after by mining DNA extracted from formalin-fixed, paraffin-embedded (FFPE) tissues. Such tissues offer the great advantage of often having complete clinical data (including survival), as well as the tissues are amenable for laser microdissection targeting specific tissue areas. Downstream analysis of such DNA includes mutational screens and methylation profiling. Screening for mutations by sequencing requires a significant amount of DNA for PCR and cycle sequencing. This is self-inhibitory if the gene screened has a large number of exons. Profiling DNA methylation using the MethyLight technology circumvents this problem and allows for the mining of several biomarkers from DNA extracted from a single microscope slide of the tissue of interest. We describe in this chapter a detailed protocol for MethyLight and its use in the determination of CpG Island Methylator Phenotype status in FFPE colorectal cancer samples.

Quantitative expression profiling in formalin-fixed paraffin-embedded samples by affymetrix microarrays

To date, few studies have systematically characterized microarray gene expression signal performance with degraded RNA from fixed (FFPE) in comparison with intact RNA from unfixed fresh-frozen (FF) specimens. RNA was extracted and isolated from paired tumor and normal samples from both FFPE and FF kidney, lung, and colon tissue specimens and microarray signal dynamics on both the raw probe and probeset level were evaluated. A contrast metric was developed to directly compare microarray signal derived from RNA extracted from matched FFPE and FF specimens. Gene-level summaries were then compared to determine the degree of overlap in expression profiles. RNA extracted from FFPE material was more degraded and fragmented than FF, resulting in a reduced dynamic range of expression signal. In addition, probe performance was not affected uniformly and declined sharply toward 5' end of genes. The most significant differences in FFPE versus FF signal were consistent across three tissue types and enriched with ribosomal genes. Our results show that archived FFPE samples can be used to profile for expression signatures and assess differential expression similar to unfixed tissue sources. This study provides guidelines for application of these methods in the discovery, validation, and clinical application of microarray expression profiling with FFPE material.