Mathematic Modeling at Micro and Macroscopic Level of Primary Central Nervous System Lymphomas (PCNSL)

We plan to analyze 100 PCNSL homogenously treated with high-dose methotrexate based chemotherapy using NGS of PCNSL samples. We will perform DNA-seq and RNA-seq from tumor samples. This data will be combined with their magnetic resonance imaging (MRI) at different time points: at diagnosis, at the end of the treatment and at disease progression. Among the 100 PCNSL that will be included, 70 will be from a retrospective (training set) from patients included in the French National PCNSL dataset (LOC cohort) and 30 PCNSL from a prospective cohort from patients included in a phase III clinical trial (BLOCAGE, PHRC 2014). On the one hand, we will perform a radiomics analysis (quantitative imaging) using 3D tumor and edema segmentation. This analysis will help us to elucidate the potential correlation of MRI phenotypes and genotype (using high-throughput data). In addition, we will use the radiomics data combined with in vitro and in vivo data (using a mouse model of PCNSL) as well as immunohistochemistry data to obtain a multidimensional mathematical modeling of PCNSL clinical evolution that will allow us to better predict the clinical course of this rare subtype of brain tumor.