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Content archived on 2024-06-18

CAPER in Invasive Breast Cancer

Objective

Breast cancer is a major cause of death in the United States and the Western World. Advanced medical technologies and therapeutic strategies are necessary for the successful detection, diagnosis, and treatment of breast cancer. Here, we propose to use novel technologies (tissue microarrays (TMA) and automated quantivative bioimaging (AQUA)) to identify new therapeutic and prognostic markers for human breast cancer. More specifically, we will study the activation status of a new signaling pathway which we have implicated in breast cancer pathogenesis, using both mouse animal models and cells in culture. For this purpose, we will study the association of CAPER expression with pre-malignant lesions and progression from pre-malignancy to full-blown breast cancer. We expect that this new molecular marker will allow us to improve diagnostic accuracy for individual patients, enhancing both the prognostic predictions as well as the prediction of drug responsiveness for a given patient.

Fields of science (EuroSciVoc)

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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.

Call for proposal

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

ERC-2008-AdG
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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.

ERC-AG - ERC Advanced Grant

Host institution

THE UNIVERSITY OF MANCHESTER
EU contribution
€ 1 500 000,00
Address
OXFORD ROAD
M13 9PL Manchester
United Kingdom

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Region
North West (England) Greater Manchester Manchester
Activity type
Higher or Secondary Education Establishments
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Total cost

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Beneficiaries (1)

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