Project description
Tumour chip technology to mimic how cancer cells react to drugs
Selecting the most effective therapy for each cancer patient is the Holy Grail in cancer treatment. The low efficacy of many cancer treatments mostly arises from the limited ability to predict the patient tumour response to therapeutic agents. The EU-funded BITFORM project is developing an engineered system that should allow accurate tumour response prediction to anti-cancer drugs and further improve patients’ outcome. This will be a breast cancer ecosystem-on-a-chip bioreactor that will conserve the cancer tissue characteristics with high reliability. Breast cancer cell secreted biomarkers will be monitored in real time by a connected biosensing module. The new platform is expected to lead to a new methodology for effectively testing anti-cancer therapies on a chip.
Objective
In this project I will develop an integrated multi-module platform in which a breast cancer ecosystem-on-a-chip (BCE-on-a-chip) bioreactor module, connected to an optical biosensing module based on multiplexed Resonant Nanopillars (R-NPs) transducers, will be developed for biomarkers and anti-breast cancer drug real-time monitoring.
Currently attrition rates in clinical trials for new anti-cancer drugs and personalized treatments are higher than all other therapeutic areas. Mainly due to the great reliability on conventional 2D and 3D scaffolds in-vitro culture methodologies in preclinical studies. Those cell-based models are limited by their
inability to conserve the patient tumor features and do not accurately show drug response, observed later in clinical trials.
Due to the increasing number of cancer diagnoses, an engineered system that allows an accurate prediction of patient tumor response to anti-cancer drug, is urgently needed.
In Bitform Project I will develop a BCE-on-a-chip bioreactor that intends to conserve the cancer tissue characteristics with high reliability. Breast cancer cell secreted biomarkers will be monitored in real-time with a multiplexed biosensing module based on R-NPs. In order to assess the capability of Bitform platform, an anti-cancer drug demonstrator (Paclitaxel) will be tested. By delivering Paclitaxel to the BCE-on-a-chip, monitoring of different cell secreted target biomarkers will permit to evaluate the effect of this drug, and thus to demonstrate the performance of the platform.
The Bitform platform will be suitable for different organ-on-chip culture models and biomolecules monitoring secreted by the cells. This will lead to a new methodology for testing anti-cancer therapies on-a-chip. This is a relevant milestone to study the further potential of the Bitform Platform in personalized medicine, which can have a transformative impact not only on the outcome but also on the costs of treatments by avoiding expensive failures.
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.
- engineering and technology environmental biotechnology bioremediation bioreactors
- engineering and technology environmental biotechnology biosensing
- medical and health sciences clinical medicine oncology breast cancer
- medical and health sciences health sciences personalized medicine
- engineering and technology other engineering and technologies microtechnology organ on a chip
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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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-MSCA-IF-2018
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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.
28040 MADRID
Spain
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.