Periodic Reporting for period 1 - iaFRET (An amplified signal imaging software for prognosis of cancer enabling the evaluation of clinicalefficiency of personalised cancer treatments to an unprecedented level.)
Reporting period: 2018-02-01 to 2018-04-30
Current cancer prognosis technologies are highly inaccurate and treatments do not support patient stratification. This leads to negative outcomes as treatments like chemotherapy are simply set to the highest tolerable dose and administered to patients who may not respond at all (up to 75% of cancer patients do not respond to drugs). Our iaFRET platform can examine how proteins act right down to the molecular scale, including how cancer cells are communicating and engaging with one another. This allows staging and grading of the cancer, and analysis of whether it is the original tumor site or a metastasis. It can also assess whether the cancer cells respond to drugs, and the proportion of cells that are resistant. This will allow treatments to be adjusted based on the patient's cancer, and as a companion to new diagnostics, should dramatically improve the survival rate of patients receiving chemotherapy and other treatments. Our overall objectives with the project are to bring our prognosis platform to the market with a lung cancer testing process first, and then to move on to other cancer types.
Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far
We assessed and validated our business model through research with internal resources and outreach to major stakeholders in the future of our product. These included clinical research organisations, certification and regulation experts, and a cancer research and treatment institute to host our clinical trial. We assessed the market and forces driving growth in cancer research, concluding that not only is there significant business opportunity for us, but a major opportunity to improve clinical cancer care throughout Europe - this will have critical impacts on future EU health objectives, as Europe, despite having only ~12.5% of the world's population, carries about 25% of the world's cancer burden.
Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)
We have observed that our platform is significantly more accurate than existing, competing cancer prognostic systems and technologies. We want to quantify this to a 95-99% reduction in false positives, and to support early identification of non-responders or patients with drug-resistant tumours. This can then let hospitals customise treatment to the patient's condition, and whether their cancer is responding to the treatment. Once we achieve marketing authorisation, we can then use the platform to validate tests for other cancer types, and even other diseases with known biomarkers such as diabetes and Alzheimer's Disease.