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Keywords | Genomics | cancer metastasis | gene expression | RNA interference | cell-based assays |<br />
TRANSFOG<br />
Translational and functional<br />
onco-genomics: from cancer-oriented<br />
genomic screenings to new diagnostic<br />
tools and improved cancer treatment<br />
Summary<br />
The TRANSFOG project aims at the systematic identifi cation<br />
and functional characterisation of novel cancer genes<br />
with high potential diagnostic and therapeutic value in<br />
breast, colon and lung cancers. The TRANSFOG partners<br />
will bring together world recognised competences and<br />
resources to reach the following, integrated research<br />
objectives:<br />
• identifi cation of novel candidate cancer genes through<br />
cancer- oriented genomic screenings, using tumour tissues<br />
as well as cellular and animal models, to generate<br />
a prioritised panel of genes involved in breast, colon and<br />
lung cancer progression and metastasis;<br />
• full-length cDNA collection of the identifi ed candidates,<br />
and setup of systems for high-throughput in vitro and<br />
in vivo gene delivery;<br />
• collection of retroviral expression plasmids encoding<br />
small interfering RNAs, for systematic downregulation<br />
of candidate genes;<br />
• identifi cation of new molecular targets for cancer<br />
therapy;<br />
• proteomic analysis of signal transduction and proteinprotein<br />
interaction, focussed on the candidate cancer<br />
genes, which will allow better dissection of aberrant<br />
cancer signalling pathways;<br />
• validation of the diagnostic potential of the identifi ed<br />
cancer genes towards the clinical use of diagnostic<br />
molecular signatures;<br />
• generation of a shared informatics platform for data<br />
handling and gene functional annotation. This will signifi<br />
cantly increase European competitiveness, provide<br />
a huge structuring eff ect on the ERA in the fi eld of functional<br />
oncogenomics, and depict several new molecular<br />
targets for anticancer drug discovery and advanced<br />
cancer diagnosis.<br />
Problem<br />
While extensive analysis over the last two decades led to<br />
a deep insight into the control of cell proliferation and survival,<br />
and their alterations during cancer onset, much still remains<br />
EARLY DETECTION, DIAGNOSIS AND PROGNOSIS<br />
to be clarifi ed about the genetic lesions and alterations of<br />
cell signalling that lead to aberrant activation of invasive<br />
growth, cancer progression and metastasis. It should be also<br />
noted that, after completion of genome-sequencing projects<br />
for many organisms, genes with an unknown function represent<br />
over 70 % of all genes. This suggests that current<br />
comprehension of most biological and pathological processes<br />
is still very incomplete, particularly in the case of cancer progression,<br />
where systematic exploration of gene function is<br />
likely to yield a huge amount of information in the next few<br />
years. In this perspective, a crucial issue is the development of<br />
technologies for high-throughput functional analysis. Development<br />
of large-scale functional screens focused on cancer<br />
progression will require a coordinated approach involving<br />
complementary competences and establishment of dedicated<br />
facilities, for which TRANSFOG intends to provide an optimal<br />
organisational and fi nancial framework.<br />
Aim<br />
The fi ve key objectives of the TRANSFOG project are:<br />
• Identifi cation of novel cancer-related genes of high clinicaldiagnostic<br />
potential, with a specifi c focus on progression<br />
and metastasis of colon, breast and lung cancers. This<br />
will be achieved mainly through extensive gene expression<br />
profi ling of tumour/metastasis samples and of<br />
cell-based models of cancer progression. To extend the<br />
exploration range, diff erential proteomics and epigenetic<br />
analysis are also planned. The foreseen outcome is<br />
a ranked list of novel candidate cancer genes emerging<br />
from integration of the screening results, which will<br />
undergo functional characterisation and/or diagnostic<br />
validation.<br />
• Set-up of technologies for systematic cancer gene functional<br />
analysis and for identifi cation of new molecular<br />
targets. Gene functional analysis will be enabled by<br />
assembling collections of full-length cDNAs and of short<br />
interfering RNAs (siRNAs), subcloned in expression plasmids<br />
to assess the consequences of gene gain- or<br />
loss-of-function in cell-based and preclinical models.<br />
• Systematic exploration of oncogenic/antioncogenic signalling<br />
pathways, epigenetic regulatory mechanisms.<br />
Taking advantage of the FL-cDNA and siRNA collections<br />
made available by the project, cellbased experimental<br />
systems to study protein-protein interaction, reporter<br />
gene expression and epigenetic modifi cations will be<br />
exploited for systematic analysis of the candidate genes.<br />
This will result in datasets of protein-protein interaction,<br />
transcriptional and epigenetic regulation allowing a comprehensive<br />
overview of the alterations in signalling and<br />
regulatory networks involved in cancer progression.<br />
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