This is an observational study including pediatric patients with medulloblastomas, and other central nervous system tumor who are eligible for surgical tumor resection.~Patients will be registered after histological diagnosis is made and meet the inclusion criteria. Epidemiological, histological and radiological information will be collected and Case report form (CRF) will be filled up by investigators. Patients will be follow up 3 months, 6 months, 1 year after surgery and every year afterwards by phone and at clinics. MRI contrast scans are required for each follow-up to assess progression, relapse or metastasis. Patients' neurological status and quality of life will be evaluated during follow-up.~Blood samples and tumor tissue will be collected during surgery. After registry, samples will be send for WGS, whole transcriptome resequencing, single-cell sequencing and spatial transcriptomics as appropriate. Clinical outcome and genetic profiles will be analyzed as appropriate to find out the potential pathogenic factors.~Medulloblastomas samples will be used for culturing primary cells and generating patient-derived xenografts in mice. The latter will be used for in vivo experiments of medulloblastoma pathophysiological mechanisms and pharmaceutical investigations.
Primary malignant central nervous system (CNS) tumors are the second most common childhood malignancies. Amongst, medulloblastomas are the most common malignant brain tumor of childhood and occur primarily in the cerebellum. According to molecular characteristics, medulloblastomas were classified into four subtypes: WNT, SHH, Group3 and Group4 and different prognosis were noticed between subgroups. Several genetic predispositions related to clinical outcome were also discovered and might influence the treatment of medulloblastomas as novel pharmaceutical targets. This study aims to investigate genetic and cellular profiles of pediatric brain malignancies, mostly medulloblastomas, and other central nervous system tumor based on WGS, RNA-seq, single-cell sequencing and spatial transcriptomics. We also aim to investigate the correlation between genetic characteristics and clinical prognosis.