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<title><string language="fre"><![CDATA[A combined laser microdissection and mass spectrometry method for proteomic analysis of tissue sections for the indentification of tumor signatures]]></string></title>
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<string language="fre"><![CDATA[Clinical and biological samples : opportunities and challenges for translational research
A challenge in oncology is to better define the
tumor of the patient to study the pathology and of course to find and to use
the right treatment. Genetic and transcriptomic analyses allow a cancer
classification, and give a lot of informations concerning carcinogenesis.
However, the proteomic analysis can complete the genomic analysis and precise
the tumor features.
With the Frederic Saltel’s group within the
INSERM 1053 Unit of Bordeaux, we have already developed a new method of
proteomic analysis of subcellular compartments after laser microdissection that
has been the object of a patent registration. Resulting from a know-how
acquired during the development of this new method, we have developed a
procedure combining laser microdissection and mass spectrometry analysis to
identify and compare the levels of protein expression between two tissues
pieces of formalin fixed paraffin embedded tissue sections. Our approach
presents the principal advantage to be compatible with biopsy, the current
biological material available for clinical assays. Moreover, with this approach
we will obtain quantitative data in comparison with classical
immunohistochemistry. 
Our subject of study in the laboratory is the
hepatocellular carcinoma (HCC), the sixth most prevalent cancer and the third
most frequent cause of cancer-related death. We already validated our protocol
on two cases of HCC and one low-grade dysplastic nodule, one of the earlier
stages of liver carcinogenesis. Now, we want to enlarge our analyses on a
bigger cohort to compare the proteome of the different stages of liver
carcinogenesis. We will use the proteomic data to generate proteomic signatures
of each stage of liver carcinogenesis and validate the signatures generated.
Finally we will propose a new tool for tumor characterization and biomarkers
quantification that can be applicable in clinic.
Cette présentation a été donnée dans le cadre du BRIO SIRIC
scientific day 3 organisé annuellement par le SIRIC BRIO et qui a pour but de
réunir tous les acteurs du SIRIC BRIO et plus largement de la cancérologie à
Bordeaux.]]></string></description>
<keyword><string language="fre"><![CDATA[cancer]]></string></keyword><keyword><string language="fre"><![CDATA[Oncologie]]></string></keyword><keyword><string language="fre"><![CDATA[Thérapie]]></string></keyword><keyword><string language="fre"><![CDATA[Recherche]]></string></keyword>
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<date><dateTime>2015-11-10</dateTime></date>
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