Tool development and validation studies for commercialisation of CanCan Diagnostics products

在英国、美国和欧盟之间，有近2亿只狗，其中30-50%在其一生中会患上癌症。目前，这种疾病的诊断和监测是通过昂贵、侵入性和耗时的程序，如高级成像或活检。迄今为止，在狗身上进行微创筛查、早期发现和癌症监测的选择非常有限。一种精确的微创多种癌症诊断测试的商业化将对以下方面产生巨大影响：*动物福利和动物主人的福祉。*提高兽医生产力和潜在的预约安排*全面改善兽医/伴侣动物遗传学的学术研究。*减少碳足迹-获得血液样本在大多数动物需要c. 5分钟，而先进的成像需要2-3小时。我们已经开发了基于无细胞DNA的诊断方法，该方法分析了各种犬癌症中选择的反复突变基因，并允许精确的疾病检测，即使存在少量突变DNA。这种类型的分析有可能彻底改变兽医肿瘤学领域。这种检测方法将使以前无法负担目前昂贵方法的患者能够进行疾病监测，从而可能实现早期干预和延长生存期。这是一个高度可扩展的项目，目标是快速增长的国际市场和计算机科学，基因数据分析的非常重要的交叉点，可以对犬类和人类癌症的药物开发产生巨大影响。

Between United Kingdom, United States and European Union there is close to 200 million dogs, from which 30-50% will develop cancer in their lifetime. Currently this disease is diagnosed and monitored through costly, invasive and time-consuming procedures such as advanced imaging or biopsy.To date, there is a very limited number of options for minimally invasive screening, early detection and monitoring of cancer in dogs.Commercialization of a precise minimally invasive multi-cancer diagnostic test will have an immense influence on:* Animal welfare and the well-being of the animals' owners.* Increasing veterinarian productivity and potentially appointment scheduling* Overall improvement of academic research in veterinary / companion animal genetics.* Reducing carbon footprint - obtaining blood sample takes c. 5 minutes in the majority of animals compared to 2-3 hours for advanced imaging.We have developed cell-free DNA-based diagnostic approach which analyses selected recurrently mutated genes in various canine cancers and allows precise disease detection, even if small quantities of mutated DNA are present. This type of assay has the potential to revolutionize the field of veterinary oncology.The test will allow access to disease monitoring in patients previously unable to afford the current costly approach, potentially allowing for earlier intervention and prolonged survival. This is a highly scalable project targeting a rapidly growing international market and the very important intersection of computer science, genetic data analysis which can have an immense impact on drug development for both canine and human cancers.