Periodic Reporting for period 1 - ONCOTECT (Early detection of tumor DNA in liquid biopsies as a biomarker of cancer recurrence)
Periodo di rendicontazione: 2019-06-01 al 2019-11-30
The first product, ONCOTECT, detects oncogenic mutations in the TP53 gene, and is developed for accurate and early detection of head and neck cancer (HNC) recurrence. Recurrent disease after initial remission is a main cause of cancer-related death. In HNC, radiological examination is the current standard in detecting cancer lesions, but is unable to reliably detect recurrence early on, leading to treatment delays and low survival rates. Integration of the ONCOTECT assay into routine clinical workflow is inexpensive and will provide faster time-to-results relative to competing sequencing methods.
The main objectives of this feasibility study were to obtain critical insight in Cyclomics’ commercialization strategy, including freedom to operate (FTO), user needs and regulatory requirements.
In conclusion, the overall strategy of Cyclomics for the development and commercialization of ONCOTECT seems very feasible. In the short term, Cyclomics should aim to generate promising clinical data on the efficacy and safety of ONCOTECT, perform the specified optimization steps in line with the identified user needs, and ideally also provide data on the cost-effectiveness of ONCOTECT in parallel to the clinical trials. Furthermore, additional support regarding the regulatory pathway of ONCOTECT will be secured by expansion of the Cyclomics team.
Since 90% of HNC patients carry specific oncogenic DNA mutations in the TP53 gene, the first application of this novel technology in recurrent HNC presents a considerable market opportunity for ONCOTECT. After achieving clinical proof-of-concept in a cohort of 20 patients, Cyclomics will offer its technology for licensing to a diagnostics company to further develop ONCOTECT as an in vitro diagnostic kit. This kit will be brought to the market with the aim of enabling superior quality in diagnostic and clinical decision making. Future applications include monitoring of cancer treatment response and early screening programs, encompassing various genes and cancer types, with the potential to impact the full spectrum of cancer diagnostics.