Characterisation of genome-wide structural aberrations in canine mammary tumours using single nucleotide polymorphism (SNP) genotyping assay
M. Surdyka , A. Gurgul , B. Slaska , K. Pawlina , Tomasz Szmatoła , Monika Bugno-Poniewierska , Anna Śmiech , K. Kasperek
AbstractCharacterisation of copy number variation (CNV) and loss of heterozygosity (LOH) has provided evidence for the relationship of this type of genetic variation with the occurrence of a broad spectrum of diseases, including cancer lesions. The role of CNVs and germinal or somatic LOHs in canine mammary tumours is still unknown. Therefore, the aim of this study was to identify CNVs and LOHs in canine mammary tumours. Forty-eight samples obtained from normal (n=24) and tumour (n=24) tissues of dogs were analysed. In the study, we used CanineHD, BeadChip assay (Illumina) and OncoSNP software to identify copy number alterations in genomes of different dog breeds and in different mammary cancer types occurring in this species. The analyses revealed that, in the case of CNV, the amplification-type variants were longer and more frequent than deletions. Based on the analysis of the frequency of different types of aberration in the individual parts of the genome, regions that are particularly susceptible to structural aberrations were indicated. The fraction of genes identified within these regions was associated with major processes of neoplastic transformation. Association analysis of such traits as tumour grading as well as the size and age of dogs demonstrated that structural aberrations were more frequent in dogs diagnosed with tumour malignancy grade I and III, in dogs with a larger body size, and in large dogs aged 7-8. The promising results of these pioneering investigations prompt continuation thereof to analyse other types of cancer.
|Journal series||Polish Journal of Veterinary Sciences, ISSN 1505-1773, e-ISSN 2300-2557, (N/A 40 pkt)|
|Publication size in sheets||0.5|
|Keywords in English||dog, cancer, mammary tumour, structural aberration, CNV, LOH|
|Publication indicators||= 0; : 2017 = 0.539; : 2018 = 0.802 (2) - 2018=0.898 (5)|
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