Objective
Cancer is a leading cause of death and there is little doubt regarding the importance of its early detection, in order to reduce both mortality and healthcare costs. In this regard, metabolomics is becoming a popular approach on the prowl for early diagnosis of cancer.
Because biomarker discovery requires the analysis of numerous samples of high complexity, the development of high-throughput analytical platforms is of great interest. One such technology is ion mobility-mass spectrometry (IMS-MS). However, interfacing traditional drift-tube IMS with commercial MS requires substantial modifications of the latter, precluding its rapid expansion in metabolomic studies. Alternatively, differential mobility analyzers (DMA) are more easily combinable with commercial MS. We propose here to use a DMA-MS system to interrogate the metabolic phenotype of lung cancer tissue extracts.
Complementarily to this plan, we intend to execute a second research strategy. Exhaled breath provides a continuous window to the biochemical activity within a person, and so holds promise as a diagnostic tool. However, in spite of the important milestones achieved following different approaches during the recent years, several issues remain to be solved before breath analysis may become a routine cancer screening method. Recently we have shown that with simple modifications, commercial mass spectrometers can sense in real time novel metabolites (e.g. glucose) in breath than previously detected. Here, we propose to employ this technology to compare the breath metabolic profiles of control subjects and cancer patients; and cancer patients before and after tumor removal.
The aims are: (i) to advance in the development of alternative analytical platforms in metabolomics, (ii) to increase the knowledge of the still poorly understood underlying mechanisms of lung cancer development and progression and (iii) to determine potential biomarkers in breath of lung cancer patients.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- social sciences sociology demography mortality
- medical and health sciences clinical medicine oncology lung cancer
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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.
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.
Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2010-RG
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Funding Scheme
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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.
Coordinator
8092 Zuerich
Switzerland
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.