Proof of concept for the use of trained sniffer dogs to detect osteosarcoma

Sarcomas are mesenchymal cancers which often show an aggressive behavior and patient survival largely depends on an early detection. In last years, much attention has been given to the fact that cancer patients release specific odorous volatile organic compounds (VOCs) that can be efficiently detect...

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Veröffentlicht in:Scientific reports 2022-04, Vol.12 (1), p.6911-6911, Article 6911
Hauptverfasser: Ortal, Agustín, Rodríguez, Aida, Solis-Hernández, María Pilar, de Prado, Miguel, Rey, Verónica, Tornín, Juan, Estupiñán, Óscar, Gallego, Borja, Murillo, Dzohara, Huergo, Carmen, García-Llano, Juan Luis, Costilla, Serafín, Rodríguez, René
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Sprache:eng
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Zusammenfassung:Sarcomas are mesenchymal cancers which often show an aggressive behavior and patient survival largely depends on an early detection. In last years, much attention has been given to the fact that cancer patients release specific odorous volatile organic compounds (VOCs) that can be efficiently detected by properly trained sniffer dogs. Here, we have evaluated for the first time the ability of sniffer dogs (n = 2) to detect osteosarcoma cell cultures and patient samples. One of the two dogs was successfully trained to discriminate osteosarcoma patient-derived primary cells from mesenchymal stem/stromal cells (MSCs) obtained from healthy individuals. After the training phase, the dog was able to detect osteosarcoma specific odor cues in a different panel of 6 osteosarcoma cell lines with sensitivity and specificity rates between 95 and 100%. Moreover, the same VOCs were also detected by the sniffer dog in saliva samples from osteosarcoma patients (n = 2) and discriminated from samples from healthy individuals with a similar efficacy. Altogether, these results indicate that there are common odor profiles shared by cultures of osteosarcoma cells and body fluid samples from patients and provide a first proof of concept about the potential of canine odor detection as a non-invasive screening method to detect osteosarcomas.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-022-11013-1