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Radiomics of lung cancer (RAIL): non-invasive stratification of tumour heterogeneity for personalised cancer therapy

Project description

Innovative technology for tumour stratification in lung cancer patients

Lung cancer is the leading cause of death among cancer patients worldwide. Non-small cell lung cancer (NSCLC) accounts for 85% of all lung cancer cases. However, the current treatment strategy is primarily based on the surgical operability staging system that does not provide an accurate prognosis. The heterogeneity between patients and tumours presents a major clinical challenge. Theragnostic in the Netherlands has developed novel technology which enables patient stratification using imaging biomarkers and routine CT & PET imaging. The EU-funded RAIL project aims to validate a multi-site level I imaging biomarker and its application to provide more accurate prognostic information. This will enable personalised treatment for NSCLC patients.

Objective

Lung cancer is the most common cause of death from cancer worldwide with 1.59 million deaths annually. It also places the highest economic burden of all cancers on the EU with EUR 18.8 billion. Non-small cell lung cancer (NSCLC) comprises 85% of all lung cancer cases. The current clinical routine to guide treatment for NSCLC patients is primarily based on the TNM staging system founded in 1958, mainly to look at surgical operability. However, TNM-based evaluation, nor doctors prediction do not provide an accurate prognosis. The heterogeneity between patients (inter-patient), tumours (inter-tumour) and even within one tumour (intra-tumour) underlies these highly variable prognosis and presents a major clinical challenge.
There is a lack of easy to perform, ‘actionable’ biomarkers to stratify NSCLC patients which results in i) under-treatment in 20% of NSCLC patients leading to disease progression and ultimately death, ii) over-treatment in 30% of NSCLC patients which reduces the quality of life of patients and places an economic burden on the healthcare system and iii) ineffective clinical trial design, due to lack of optimal stratification, which requires very large, costly clinical trials to be performed in order to bring new therapeutic strategies to the market.
ptTheragnostic has developed breakthrough technology, called “Radiomics”, which was recently published in Nature Communications, which enables patient stratification through the use of imaging biomarkers acquired from routine CT & PET imaging (see animation on www.pttheragnostic.com). In Radiomics for lung cancer (RAIL) we will validate and qualify a multi-site level I imaging biomarker together with a ready-to-use application to deliver more accurate prognostic information, personalise treatment for NSCLC patients, reduce healthcare costs by EUR 500+ million and enable efficient clinical trial design.

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Programme(s)

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Topic(s)

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Funding Scheme

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SME-2 - SME instrument phase 2

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Call for proposal

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(opens in new window) H2020-SMEInst-2014-2015

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Coordinator

PT THERAGNOSTIC BV
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.

€ 2 427 593,75
Address
OXFORDLAAN 55 BIOPARTNER BUILDING
6229 EV Maastricht
Netherlands

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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
Region
Zuid-Nederland Limburg (NL) Zuid-Limburg
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.

€ 2 427 593,75
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