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Cancer Research - Europa

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INTACT<br />

Identifi cation of novel targets<br />

for cancer therapy<br />

Summary<br />

Despite intensive worldwide research eff orts, cancer remains<br />

a devastating, often poorly treatable disease. We propose to<br />

develop and apply new functional genomic technologies<br />

that will provide unique approaches to the design of new<br />

pathway-specifi c cancer therapies. To reach the objectives<br />

outlined below, we have formed a multidisciplinary research<br />

consortium, including top scientists with extensive experience<br />

in developing innovative genomics technologies and<br />

with an excellent track-record in identifying key signalling<br />

molecules involved in cancer, as well as SMEs with experience<br />

in identifying cancer-relevant genes and in screening<br />

chemical compound libraries. The location of most of the<br />

partners at leading European cancer centres will ensure<br />

optimal conditions for the development of novel cancerspecifi<br />

c treatments. This proposal provides new possibilities<br />

of ‘translating basic knowledge of functional oncogenomics<br />

into cancer diagnosis and treatment’ in compliance with the<br />

main goal in the LifeSciHealth call in the Sixth Framework<br />

Programme.<br />

Problem<br />

The availability of the complete human genome sequence<br />

has provided unparalleled opportunities to examine changes<br />

in both DNA sequence and gene expression in normal and<br />

cancer cells. Several major projects are underway to identify<br />

cancer specifi c mutations by largescale sequencing or cancer<br />

specifi c alterations in gene expression by micro-array technology<br />

and providing important information. However, these<br />

technologies have severe limitations in that they provide only<br />

an inventory of cancer-associated alterations without shedding<br />

light on the functional implications of these changes.<br />

Delineating how, or even whether, the alterations identifi ed<br />

through these methodologies play a real role in malignant<br />

development will be a massive task. We are therefore proposing<br />

to make use of the most advanced technology developed<br />

within the groups of the programme to move a step further<br />

and apply new high-throughput functional screens for the<br />

swift identifi cation of new targets that are critical for survival<br />

of tumour cells carrying distinct, frequently occurring gene<br />

defects. Building on the expertise of other members of the<br />

programme we will be able to validate these targets in in vivo<br />

mouse and human xenograft models, which closely mimic<br />

the human disease condition and form the basis for new<br />

experimental intervention-intervention strategies.<br />

42<br />

Keywords | <strong>Cancer</strong> biology, high-throughput screening | RNA interference screening | knowl-<br />

Keywords | <strong>Cancer</strong> biology edge-based | high-throughput | cancer therapy screening | RNA interference screening | knowledge-based cancer therapy |<br />

Aim<br />

The scientifi c and technological objectives are:<br />

• use large-scale functional genomics, in particular genomewide<br />

lossof-function screens, to identify novel mechanisms,<br />

including novel oncogenes and tumour suppressor genes,<br />

involved in the development of human cancer;<br />

• to generate novel tools in the form of RNAi retroviral libraries<br />

(mouse and human), cell-based assays, mouse models<br />

and reagents that will be distributed on a non-profi t<br />

cost-charge to academic researchers in the European<br />

Community;<br />

• to develop novel technologies for target validation in<br />

mouse and to develop mouse models to validate the role<br />

of the identifi ed genes in the development of cancer;<br />

• to develop cell-based assays for cancer-relevant genes<br />

that will serve as a starting point for the identifi cation<br />

of anti-cancer agents through the screening of chemical<br />

compound libraries. At the end of the four-year<br />

programme, collaboration with large pharmaceutical<br />

compa nies will lead to further refi nement of lead-compounds<br />

and the possible introduction of novel anti-cancer<br />

agents into clinical trials;<br />

• to develop novel technologies to study gene function<br />

in vitro and vivo, and to distribute these technologies<br />

within the consortium and subsequently to researchers<br />

in the European Community.<br />

Expected results<br />

Translating basic knowledge of functional oncogenomics<br />

into cancer diagnosis and treatment. Until now, genomic<br />

information has been used mainly to develop expression<br />

array technologies. Such technologies have been commercialised<br />

and are being applied in many laboratories; indeed,<br />

members of this consortium have published key profi ling<br />

papers on several human tumours. The central weakness<br />

of this approach is that expression profi ling gives no indication<br />

of gene function and is, therefore, not suited for the<br />

functional annotation of the human genome. As such,<br />

expression arrays have been useful in defi ning prognostic<br />

profi les for multiple forms of cancer: however, they have<br />

rarely given insight into potential therapeutic strategies<br />

for disease.<br />

In contrast, the technology platforms developed by this<br />

consortium aim immediately at the determination of gene<br />

function on a genomewide scale. Two key technological<br />

developments form the basis of this consortium. First,<br />

scientists in this consortium have developed retroviral<br />

screening technologies to allow phenotypic screens that<br />

have specifi c cellular or organismal phenotypes as readout.<br />

Genes are therefore annotated by their contribution<br />

to specifi c cellular phenotypes. Within this consortium,<br />

these screens will be adopted to specifi c cancer pathways<br />

CANCER RESEARCH PROJECTS FUNDED UNDER THE SIXTH FRAMEWORK PROGRAMME

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