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Creation of advanced cancer treatment planning to boost the effect of Radiotherapy by combining with hyperthermia, heating the tumor.

Project description

Optimisation of hyperthermia as an anti-cancer treatment

Elevating the temperature in tumours to 40-44 °C – a process known as hyperthermia – is emerging as an attractive anti-cancer treatment that can be used to enhance effectiveness of radiotherapy or chemotherapy. The key objective of the EU-funded HYPERBOOST project is to further improve effectiveness and synergy of hyperthermia by identifying and implementing optimal temperature levels and optimal timing with other modalities in different tumour types. Researchers will investigate the mechanisms responsible for the therapeutic effect of hyperthermia via an interdisciplinary approach that combines biology, physics and oncology disciplines. The generated knowledge and practical tools will pave the way for personalised hyperthermia treatment with improved clinical results.

Objective

Hyperthermia (HT), heating tumors to temperatures of 40-44°C, is an oncological treatment used in combination with
radiotherapy (RT) and chemotherapy to enhance their efficacy. Clinical effectiveness of HT has been demonstrated in
randomised studies and HT is currently applied for many clinical indications, like cervical cancer and recurrent breast cancer.
Clinical results can be further improved as application of HT with well-controlled tumor temperatures and optimal timing and
sequence realising full synergy of RT+HT is challenging. Optimal HT delivery requires accurate planning, moreover
preclinical research has shown that many mechanisms are responsible for the therapeutic effect of HT, all presumably with a
different temperature-effect relationship and with different optimal timing between RT and HT. Optimisation of clinical RT+HT
treatments therefore requires a quantum leap in understanding and in clinical application.
Scientific objective of this multidisciplinary project with contributions from all sectors and disciplines (biology, physics and
oncology) is to combine training and research into the synergistic molecular mechanisms responsible for the therapeutic
effect of HT on RT with the development of a versatile and innovative planning platform which utilises biological knowledge
to achieve optimal patient-specific treatment delivery and ultimately application in a clinical registration study in a network of
European centres implementing this treatment planning software to ensure optimal treatment delivery.
This ground-breaking and multidisciplinary project with contributions from biology, physics and oncology will create a
versatile and innovative planning platform, enhance fundamental knowledge and create practical tools to achieve
personalised treatment, thereby augmenting treatment delivery and clinical results. The projects will also educate 15 highly
skilled professionals capable of addressing and solving complex oncological issues.

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Keywords

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Programme(s)

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Topic(s)

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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.

MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)

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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-MSCA-ITN-2020

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Coordinator

STICHTING AMSTERDAM UMC
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.

€ 531 239,76
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.

€ 531 239,76

Participants (10)

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