Intratumor heterogeneity, which fosters tumor evolution, is a key challenge in cancer
medicine. Here, we review data and technologies that have revealed intra-tumor …

Judgement, as one of the core tenets of medicine, relies upon the integration of multilayered
data with nuanced decision making. Cancer offers a unique context for medical decisions …

While molecular subgrou** has revolutionized medulloblastoma classification, the extent
of heterogeneity within subgroups is unknown. Similarity network fusion (SNF) applied to …

Despite decades of research, brain tumours remain among the deadliest of all forms of
cancer. The ability of these tumours to resist almost all conventional and novel treatments …

Current therapies for medulloblastoma, a highly malignant childhood brain tumour, impose
debilitating effects on the develo** child, and highlight the need for molecularly targeted …

Cancer develops through a process of somatic evolution,. Sequencing data from a single
biopsy represent a snapshot of this process that can reveal the timing of specific genomic …

We report a comprehensive proteogenomics analysis, including whole-genome sequencing,
RNA sequencing, and proteomics and phosphoproteomics profiling, of 218 tumors across 7 …

Medulloblastoma (MB) comprises a biologically heterogeneous group of embryonal tumours
of the cerebellum. Four subgroups of MB have been described (WNT, sonic hedgehog …

Historical risk stratification criteria for medulloblastoma rely primarily on clinicopathological
variables pertaining to age, presence of metastases, extent of resection, histological …

Study of the origin and development of cerebellar tumours has been hampered by the
complexity and heterogeneity of cerebellar cells that change over the course of …