Multi-omics approach to decipher Ewing sarcoma metastases using a spontaneous metastasis mouse model

Ewing sarcoma (ES) is the second most common bone tumor affecting children and young adults, with dismal outcomes for patients with metastases at diagnosis. Mechanisms leading to metastasis remain poorly understood. To deepen our knowledge on ES progression, we have profiled 3 tumors and 5 metastases from our spontaneous metastasis ES mouse model using a multi-omics approach. Combining transcriptomics, proteomics and methylomics analyses, we identified signaling cascades and targets enriched in metastases that could be modulating aggressiveness in ES. We have profiled 3 tumors and 5 metastases from our spontaneous metastasis ES mouse model using a multi-omics approach. The DNA methylome of these samples was analyzed by EPIC arrays.