Objective
Cancer is a genetic disease that involves the accumulation of somatic mutations. Comprehensive understanding of the mutations that cause cancer and their functional effects is a critical step towards: a) global understanding of cancer development and tumor phenotypes, b) sub-classification of cancer based on mutational signatures, and c) developing targeted therapies based on mutations in specific tumors.
Recent advances in high-throughput genomic technologies provide an unprecedented opportunity to systematically interrogate the cancer genetic landscape. However, although ample genomic sequences are becoming available, so far these have only provided limited information concerning the complexity of the cancer genome. Furthermore, our understanding of the functional effects of identified mutations is hampered by the difficulty in comprehensively assessing their biological and biochemical effects in a physiological manner.
I propose to overcome this major challenge in our understanding of cancer genomics by integrating functional and genetic techniques using melanoma as an example. I propose pioneering high-throughput applications of somatic cell knockout technologies to evaluate newly discovered mutations. The tools developed by this proposal will make it possible to decisively determine the function(s) of proteins that are intimately linked to the pathogenesis of cancer. Funding for this project will enable us to demonstrate the feasibility of initiating a larger scale approach to the ongoing identification of a dynamic and evolving cancer interactome. Furthermore, we will analyze 300 melanoma whole exomes, the largest melanoma dataset to date, to: (i) identify new targetable mutations and (ii) determine the roles of synonymous mutations, which have rarely been studied in cancer. The proposed research will reveal the mechanisms underlying melanoma tumorgenesis, which will in turn generate insights to aid the treatment of melanoma 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.
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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.
ERC-2013-StG
See other projects for this call
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.
Host institution
7610001 Rehovot
Israel
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.