Genomic Analysis of Peritoneal Mesothelioma by CGH Arrays

DNA and RNA extraction will be performed in Lyon University hospital (genomic platform) using commercially available kit. Percentage of tumors cells will be controlled by stained section before extraction. The CGH arrays will be realized on frozen samples in Lille (genomic platform). Pangenomic Agilent array will be used. Micro-array include 180000 probes. Analysis will be performed in Lille (genomic platform / department of BioInformatics) with Marie Brevet. Data will be processed from the log2 transformed data into normalization with the WACA method. Then copy number variation will then be identified with Circular Binary Segmentation. Copy number variations will be called as gain or deletion according to the log2 ratio distribution and the percent of tumoral cells. Using matched tumoral and normal DNA will eliminate Copy Number Polymorphisms. We will construct non supervised hierarchical analyses to study the classification of peritoneal mesothelioma based on copy number variation