Objective
Cancer remains one of the deathliest diseases of the 21st century, with more than 1.9 M deaths per year in Europe. Some tumours entail a high risk of metastasizing, meaning that they are able to reach other locations in the body. Migrating cells from a primary tumour often cause secondary cancer in the liver, which is one of the leading causes of death worldwide.Regarding treatment options, international institutions have published clear guidelines about first line treatments to treat particular types of primary cancers. However, when dealing with secondary cancers (like metastatic liver cancer) there is a heterogeneous and very wide range of treatment options and no clear guidelines.
The choice of treatment in secondary cancer is based in “trial and error”. This “trial and error” approach causes many patients fail to respond to therapy due to chemoresistance (lack of response to chemotherapy). In response, we at SpheroTec have created SpheroPredict, an individualised drug testing platform designed to predict the patient’s response to guideline therapies before installing the treatment cycle. Using cancer cells from the patient’s tumour, we build an accurate and biologically relevant 3D micro-tumour (spheroid) model to test the drugs and analyse the response in advance. In the end, only drugs with proven efficacy and low toxicity will be applied in the patient’s therapy cycle.
In the era of personalised medicine and with the urgent need for de-risked and efficient drug treatments, we have developed an innovative solution that will greatly improve the patient’s survival time, quality of life and will help to alleviate the economic burden on the EU healthcare system incurred by inefficient therapies and productivity loss. Thus, in Phase 1, we aim to warrant the feasibility of the SpheroPredict project from the technical, commercial and financial perspectives, in order to ensure its success upon commercialisation.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences clinical medicine oncology liver cancer
- social sciences economics and business economics production economics productivity
- medical and health sciences health sciences personalized medicine
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.3.1. - SOCIETAL CHALLENGES - Health, demographic change and well-being
MAIN PROGRAMME
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H2020-EU.3.1.3. - Treating and managing disease
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SMEInst-2016-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
82152 MARTINSRIED
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.