A Comparison of Fresh Frozen vs. Formalin-Fixed, Paraffin-Embedded Specimens of Canine Mammary Tumors via Branched-DNA Assay

Int J Mol Sci. 2016 May 13;17(5):724. doi: 10.3390/ijms17050724.

Abstract

Mammary neoplasms are the tumors most affecting female dogs and women. Formalin-fixed, paraffin-embedded (FFPE) tissues are an invaluable source of archived biological material. Fresh frozen (FF) tissue is considered ideal for gene expression analysis. However, strategies based on FFPE material offer several advantages. Branched-DNA assays permit a reliable and fast workflow when analyzing gene expression. The aim of this study was to assess the comparability of the branched-DNA assay when analyzing certain gene expression patterns between FF and FFPE samples in canine mammary tumors. RNA was isolated from 109 FFPE samples and from 93 FF samples of different canine mammary tissues. Sixteen (16) target genes (Tp53; Myc; HMGA1; Pik3ca; Mcl1; MAPK3; FOXO3; PTEN; GATA4; PFDN5; HMGB1; MAPK1; BRCA2; BRCA1; HMGA2; and Her2) were analyzed via branched-DNA assay (b-DNA). ACTB, GAPDH, and HPRT1 were used as data normalizers. Overall, the relative gene expression of the two different origins of samples showed an agreement of 63%. Still, care should be taken, as FFPE specimens showed lower expression of the analyzed targets when compared to FF samples. The fact that the gene expression in FFPE proved to be lower than in FF specimens is likely to have been caused by the effect of storage time. ACTB had the best performance as a data normalizer.

Keywords: RNA; branched-DNA assay; canine mammary tumor; formalin-fixed, paraffin-embedded specimens; fresh frozen tissue; gene expression.

Publication types

  • Comparative Study

MeSH terms

  • Animals
  • Biomarkers, Tumor / analysis*
  • Biomarkers, Tumor / genetics
  • Cryopreservation / methods*
  • Dogs
  • Female
  • Mammary Neoplasms, Animal / pathology*
  • Paraffin Embedding / methods*
  • Polymerase Chain Reaction / methods
  • Tissue Fixation / methods*

Substances

  • Biomarkers, Tumor