Peer-reviewed veterinary case report
Detecting canine lymphoma using melting curve fluorescence drop
By Schöpper, I et al.·Published in Veterinary and comparative oncology·2017·Clinic of Small Animal Medicine, Germany·View original on PubMed →
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Original publication title: Melting curve analysis in canine lymphoma by calculating maximum fluorescence decrease.
- Species:
- dog
Plain-English summary
A group of 34 dogs with lymphoma had their lymph node samples and blood tested to improve the diagnosis of this cancer. Researchers used a method called melting curve analysis to objectively interpret the results, finding that they could accurately identify lymphoma in 27 of the dogs. This method showed good sensitivity and specificity, meaning it could effectively distinguish between dogs with lymphoma and healthy dogs. While the test was promising, there is still room for improvement in detecting certain types of lymphoma.
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Abstract
PARR is widely used in the diagnostics of canine lymphoma. In human and veterinary medicine, melting curve analysis (MCA) has successfully been introduced to facilitate the process. Since visual interpretation of melting curves can be rather subjective, the purpose of this study was to develop an objective interpretation of melting curves by calculating the maximum fluorescence decrease (dF) within a defined rise of temperature. Lymph node aspirates and blood of 34 dogs with lymphoma and 28 control dogs were tested. 27/34 lymphoma cases were correctly detected to be monoclonal (sensitivity 79%). 2/28 control dogs showed a monoclonal rearrangement (specificity 93%). B- and T-cell neoplasia were still detectable using DNA amount as low as 10 ng. In serial dilutions of tumor DNA with DNA of normal tonsils, the detection limit was 25% for B-cell lymphomas and 100% for T-cell lymphoma, suggesting that PCR conditions could still be optimized.
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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/26960964/