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HepatoPredict, A decision tool for Liver Transplantation based on molecular signature

Project description

A predictive tool for liver transplantation outcome in patients with liver cancer

Hepatocellular carcinoma (HCC) is the most common cause of cancer-related deaths with liver transplantation being the only curative option. Given the shortage in available organs, patient selection depends on specific clinical criteria mainly related to tumour size and biology. However, these do not accurately predict the outcome of the transplantation. The EU-funded HepatoPredict project aims to develop a powerful new tool based on tumour molecular signature and clinical parameters to offer decision support in selecting HCC patients with a favourable prognosis in liver transplantation. The clinical implementation of this tool is expected to improve HCC patient survival while maintaining resourceful allocation of organs for transplantation.

Objective

Hepatocellular carcinoma (HCC) is a leading cause of cancer related mortality world-wide. The best curative treatment option is liver transplantation. The need for liver transplants for HCC by far exceeds the number of available organs, so stringent selection criteria are of paramount importance in order to ensure that the best candidates are selected for the procedure. So far, clinicians have to rely only on clinical variables to select transplant candidates for liver transplantation. The current criteria used (MILAN and San Francisco criteria) limits transplant to patients within specific parameters as tumour number and diameter, clearly related to disease and tumour biological behavior, but can only act as surrogate markers of tumour stage and biology. Hence, it is not possible to predict which patients outside the Milan or San Francisco criteria that would have a favourable prognosis. On this background, it is of outmost importance to gain access to better predictive tools that can provide decision support in selection for these patients. In response to this challenge, Ophiomics has developed a powerful predictive tool (HepatoPredict) based on molecular signature and clinical parameters, rather than only clinical variables. We can predict the good outcome of the intervention with a successful-curative rate of 95%, improving the Milan and San Francisco criteria (67%). Unsuccessful liver transplantation will be avoided and, as a consequence, better survival rate and more saved lives will be achieved. Upon 5 years after the completion of the project, HepatoPredict will boost the growth of our company generating additional 27 employees and a ROI of 13.82. With the help of SME instrument, Ophiomics aims to complete the clinical validation and product optimization so that it can be commercialized across European markets first, and global markets later on, improving the quality of care of healthcare systems worldwide as well as the HCC patient ́s quality of life.

Fields of science (EuroSciVoc)

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Programme(s)

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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.

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.

SME-2b - SME Instrument (grant only and blended finance)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

OPHIOMICS - INVESTIGACAO E DESENVOLVIMENTO EM BIOTECNOLOGIA SA
Net EU contribution

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.

€ 756 956,38
Address
RUA CUPERTINO DE MIRANDA N9 LOTE 8 POLO TECNOLOGICAO DE LISBOA
1600 513 Lisboa
Portugal

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

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.

€ 1 081 366,25
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