NCT02834234

Genomic Analysis of Peritoneal Mesothelioma by CGH Arrays

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 33 (actual)
• Sponsor: Hospices Civils de Lyon · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

Peritoneal mesothelioma is a rare disease representing one third of all mesothelioma and nothing is known about molecular characteristics of this disease. As main cancers, genetic heterogeneity is probable. This genomic profiling associates Comparative Genomic Hybridization (CGH) array, BAP1 sequencing and gene expression in order to discover a biomarker that could be used in the treatment of this rare disease. Corresponding histopathological and immunohistochemical report as all clinical data are available. All data with be merged to underline a few genes of interest on which we will focus our next investigations. Depending of our preliminary results, BAP1 mutations are expected, as it was also described in pleural mesothelioma. Mutations in oncogenic drivers that could be targeted by specific therapy will be on particular interest in management of this rare disease with bad prognosis.

Conditions

• Peritoneal Mesothelioma

Interventions

Type	Name	Description
GENETIC	comparative genomic analysis	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

Timeline

• Start date: 2013-05-01
• Primary completion: 2016-01-01
• Completion: 2016-01-01
• First posted: 2016-07-15
• Last updated: 2016-07-26