Abstract for VCS Conference. 2019
Submitted 16 June 2019; accepted in final form 10 July 2019
Wang, CN1; Lee, Jihjong2
Biotronics1 Tech Corp., Lowell, MA. and
National2 Taiwan University Veterinary Hospital, Taipei City, Taiwan
Current diagnostic modality of imaging, biopsies and a few biomarkers for cancer detection proves to be ineffective in early cancer screening. Recent study of cancer epigenome self-assembly implicates that biophysical attribute of cfDNA is potentially a better alternative to the current approach for universal cancer screening. We developed a biophysical assay, which can correlate the thermodynamic energetics of the cfDNA to pathophysiological condition and applied the assay to philtrum cfDNA to evaluate its performance in canine cancer detection.
DNA samples were extracted from the canine philtrum swabs. An array of 8 reactions for each extracted DNA sample is spotted on a sensitized filter paper. A graded series of DNA intercalator is added to each array followed by fuzzy hybridization using the same sample extract under room temperature. The results of each reaction are visualized after adding the pH indicator and scanned by a dedicated app to yield quantitative scores.
A total of 90 canine samples were tested. Thirty-six of them were previously diagnosed with high-mortality cancers including lymphoma, melanoma, osteosarcoma, mammary gland carcinoma and mast cell tumors. A random collection of 54 samples with varied health conditions were used as control.
The sensitivity of the test ranged from 85% to 95% for the detection of clinically intact cancer patients with no prior treatment, whereas its specificity was greater than 98%; only one of the 54 healthy controls scored positive.
This study provides a practical and robust method to predict cancer for patients with specific or non-specific symptoms alike. The test results are quantifiable and reflect directly current health state whether normal or altered. It is plausible that the thermodynamic energetics of the philtrum cfDNA measured in score from 0 to 100 is also an effective indicator for prognosis and therapeutic efficacy.