Identification of molecular genetic contributants to canine cutaneous mast cell tumour metastasis by global gene expression analysis

PLoS One. 2018 Dec 19;13(12):e0208026. doi: 10.1371/journal.pone.0208026. eCollection 2018.

Abstract

Cutaneous mast cell tumours are one of the most common canine cancers. Approximately 25% of the tumours metastasise. Activating c-kit mutations are present in about 20% of tumours, but metastases occur in the absence of mutations. Tumour metastasis is associated with significantly diminished survival in spite of adjuvant chemotherapy. Available prognostic tests do not reliably predict whether a tumour will metastasise. In this study we compared the global expression profiles of 20 primary cutaneous mast cell tumours that metastasised with those of 20 primary tumours that did not metastasise. The objective was to identify genes associated with mast cell tumour metastatic progression that may represent targets for therapeutic intervention and biomarkers for prediction of tumour metastasis. Canine Gene 1.1 ST Arrays were employed for genome-wide expression analysis of formalin-fixed, paraffin-embedded biopsies of mast cell tumours borne by dogs that either died due to confirmed mast cell tumour metastasis, or were still alive more than 1000 days post-surgery. Decreased gene expression in the metastasising tumours appears to be associated with a loss of cell polarity, reduced cell-cell and cell-ECM adhesion, and increased cell deformability and motility. Dysregulated gene expression may also promote extracellular matrix and base membrane degradation, suppression of cell cycle arrest and apoptosis, and angiogenesis. Down-regulation of gene expression in the metastasising tumours may be achieved at least in part by small nucleolar RNA-derived RNA and microRNA-effected gene silencing. Employing cross-validation, a linear discriminant analysis-based classifier featuring 19 genes that displayed two-fold differences in expression between metastasising and non-metastasising tumours was estimated to classify metastasising and non-metastasising tumours with accuracies of 90-100% and 70-100%, respectively. The differential expression of 9 of the discriminator genes was confirmed by quantitative reverse transcription-PCR.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biopsy
  • Discriminant Analysis
  • Dog Diseases / genetics*
  • Dog Diseases / pathology
  • Dogs
  • Down-Regulation
  • Female
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic*
  • Male
  • Mast Cells / pathology
  • Mastocytoma, Skin / genetics*
  • Mastocytoma, Skin / pathology
  • Neovascularization, Pathologic
  • Oligonucleotide Array Sequence Analysis
  • Reverse Transcriptase Polymerase Chain Reaction
  • Skin / cytology
  • Skin / pathology
  • Skin Neoplasms / genetics*
  • Skin Neoplasms / pathology
  • Transcriptome / genetics*

Grants and funding

Funding provided by UK Kennel Club (https://www.thekennelclub.org.uk/). JM is employed by and received salary from Idexx Laboratories. TW is employed by and received salary from Abbey Veterinary Services. RF and TE are employed by and received salary from Finn Pathologists. SB is employed by and received salary from Nationwide Laboratory Services. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.