Objective
All cancers arise due to somatically acquired mutations in their genomes which alter the function of key cancer genes. Understanding these critical mutational events underlying cancer development is paramount for advancing prevention, early detection, monitoring and treatment of the disease. Breast cancer is the most common class of cancer diagnosed in women worldwide with more than one million cases diagnosed annually. It is responsible for >400,000 deaths per year making it the leading cause of cancer deaths in women and is the most common cause of all deaths in women aged >40yrs. Breast cancer is a heterogeneous disease with a number of subtypes. We propose here to generate complete catalogues of somatic mutations in 500 breast cancers, of the ER+ve HER2- subclass, under the International Cancer Genome Consortium model by high coverage, shotgun genome sequencing of both tumour and normal DNA. All classes of mutations are expected to be detected including base substitutions, insertions, deletions, copy number changes and rearrangements. These catalogues of mutations will afford us statistical power to identify cancer genes that are mutated at a frequency of greater than 3% in this class of breast cancer. Complementary catalogues of epigenomic changes (genome-wide DNA methylation) will be generated for the same cancer samples together with transcript expression profiles. Integrated analyses of these data will be carried out and compared to parallel datasets from other classes of breast cancer and other types of cancer. The potential clinical utility of these findings for detection and monitoring of minimal residual disease will be investigated. Finally, data will be made rapidly available to all scientific researchers with minimal restrictions. The results of this exhaustive and comprehensive set of studies will have an enormous impact on our understanding of the causes and biology of breast cancer and will lead to major advances in detection, prevention and treatment of breast cancer
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.
- natural sciences biological sciences genetics DNA
- medical and health sciences clinical medicine oncology breast cancer
- natural sciences biological sciences genetics mutation
- natural sciences biological sciences genetics genomes
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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
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.
FP7-HEALTH-2009-two-stage
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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.
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
CB10 1SA SAFFRON WALDEN
United Kingdom
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Participants (14)
0450 OSLO
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1105AZ Amsterdam
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6525 XZ Nijmegen
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E20 1JQ LONDON
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69117 Heidelberg
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3015 GD Rotterdam
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02215 5450 Boston Ma
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1070 ANDERLECHT
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SW7 3RP London
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22100 LUND
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92513 Boulogne Billancourt
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1066 CX AMSTERDAM
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10065 New York
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CB2 1TN CAMBRIDGE
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