Peer-reviewed veterinary case report
Gene patterns in dog skin mast cell tumors for prognosis and subtype
By Giantin, Mery et al.·Published in PloS one·2014·Dipartimento di Biomedicina Comparata e Alimentazione, Italy·View original on PubMed →
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Original publication title: Global gene expression analysis of canine cutaneous mast cell tumor: could molecular profiling be useful for subtype classification and prognostication?
- Species:
- dog
Plain-English summary
A study looked at skin tumors called mast cell tumors (MCTs) in dogs to see if analyzing their genes could help predict how aggressive the tumors are. Researchers examined 51 tumor samples and found 13 specific genes that could help classify the tumors into two groups: differentiated (less aggressive) and undifferentiated (more aggressive). This classification was linked to how long dogs survived after diagnosis. The findings suggest that understanding the gene expression in these tumors could help veterinarians better predict outcomes and tailor treatments for affected dogs.
People also search for: dog mast cell tumor prognosis · canine skin tumor treatment · what are mast cell tumors in dogs
Abstract
Prognosis and therapeutic management of dogs with cutaneous mast cell tumors (MCTs) depend on clinical stage and histological grade. However, the prognostic value of this latter is still questionable. In the present study, MCT transcriptome was analyzed to identify a set of candidate genes potentially useful for predicting the biological behavior of MCTs. Fifty-one canine MCT biopsies were analyzed. Isolated and purified total RNAs were individually hybridized to the Agilent Canine V2 4x44k DNA microarray. The comparison of reference differentiated and undifferentiated MCT transcriptome revealed a total of 597 differentially expressed genes (147 down-regulated and 450 up-regulated). The functional analysis of this set of genes provided evidence that they were mainly involved in cell cycle, DNA replication, p53 signaling pathway, nucleotide excision repair and pyrimidine metabolism. Class prediction analysis identified 13 transcripts providing the greatest accuracy of class prediction and divided samples into two categories (differentiated and undifferentiated), harboring a different prognosis. The Principal Component Analysis of all samples, made by using the selected 13 markers, confirmed MCT classification. The first three components accounted for 99.924% of the total variance. This molecular classification significantly correlated with survival time (p = 0.0026). Furthermore, among all marker genes, a significant association was found between mRNA expression and MCT-related mortality for FOXM1, GSN, FEN1 and KPNA2 (p<0.05). Finally, marker genes mRNA expression was evaluated in a cohort of 22 independent samples. Data obtained enabled to identify MCT cases with different prognosis. Overall, the molecular characterization of canine MCT transcriptome allowed the identification of a set of 13 transcripts that clearly separated differentiated from undifferentiated MCTs, thus predicting outcome regardless of the histological grade. These results may have clinical relevance and warrant future validation in a prospective study.
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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/24748173/