SUMMARY While molecular subgrouping has revolutionized medulloblastoma classification, the extent of heterogeneity within subgroups is unknown. Similarity network fusion (SNF) applied to genome-wide DNA methylation and gene expression data across 763 primary samples identifies very homogeneous clusters of patients, supporting the presence of medulloblastoma subtypes. After integration of somatic copy-number alterations, and clinical features specific to each cluster, we identify 12 different subtypes of medulloblastoma. Integrative analysis using SNF further delineates group 3 from group 4 medulloblastoma, which is not as readily apparent through analyses of individual data types. Two clear subtypes of infants with Sonic Hedgehog medulloblastoma with disparate outcomes and biology are identified. Medulloblastoma subtypes identified through integrative clustering have important implications for stratification of future clinical trials.

Summary Medulloblastoma, the most common malignant pediatric brain tumour, is currently treated with non-specific cytotoxic therapies including surgery, whole brain radiation, and aggressive chemotherapy. As medulloblastoma exhibits marked intertumoural heterogeneity, with at least four distinct molecular variants, prior attempts to identify targets for therapy have been underpowered due to small samples sizes. Here we report somatic copy number aberrations (SCNAs) in 1087 unique medulloblastomas. SCNAs are common in medulloblastoma, and are predominantly subgroup enriched. The most common region of focal copy number gain is a tandem duplication of the Parkinson’s disease gene SNCAIP, which is exquisitely restricted to Group 4α. Recurrent translocations of PVT1, including PVT1-MYC and PVT1-NDRG1 that arise through chromothripsis are restricted to Group 3. Numerous targetable SCNAs, including recurrent events targeting TGFβ signaling in Group 3, and NF-κB signaling in Group 4 suggest future avenues for rational, targeted therapy.

Clinicians can encounter sex and gender disparities in diagnostic and therapeutic responses. These disparities are noted in epidemiology, pathophysiology, clinical manifestations, disease progression, and response to treatment. This Review discusses the fundamental influences of sex and gender as modifiers of the major causes of death and morbidity. We articulate how the genetic, epigenetic, and hormonal influences of biological sex influence physiology and disease, and how the social constructs of gender affect the behaviour of the community, clinicians, and patients in the health-care system and interact with pathobiology. We aim to guide clinicians and researchers to consider sex and gender in their approach to diagnosis, prevention, and treatment of diseases as a necessary and fundamental step towards precision medicine, which will benefit men's and women's health.

The vast majority of brain tumors in adults exhibit glial characteristics. Brain tumors in children are diverse: Many have neuronal characteristics, whereas others have glial features. Here we show that activation of the Gi protein-coupled receptor CXCR4 is critical for the growth of both malignant neuronal and glial tumors. Systemic administration of CXCR4 antagonist AMD 3100 inhibits growth of intracranial glioblastoma and medulloblastoma xenografts by increasing apoptosis and decreasing the proliferation of tumor cells. This reflects the ability of AMD 3100 to reduce the activation of extracellular signal-regulated kinases 1 and 2 and Akt, all of which are pathways downstream of CXCR4 that promote survival, proliferation, and migration. These studies (i) demonstrate that CXCR4 is critical to the progression of diverse brain malignances and (ii) provide a scientific rationale for clinical evaluation of AMD 3100 in treating both adults and children with malignant brain tumors.

IntroductionNormal and leukemic hematopoietic cells and stem cells reside in the bone marrow in specialized areas ("niches") that provide the structural and physiologic conditions for their growth and survival. 1 Subpopulations of leukemic cells can be sequestered in niches and thereby evade chemotherapy-induced death. 2 We and others have reported that stromal cells protect acute myeloid leukemia (AML) and chronic lymphocytic leukemia cells from the apoptosis induced by chemotherapy. [3][4][5][6] While the mechanisms of stroma-mediated protection are pleiotropic and involve a complex interplay of stroma-produced cytokines, chemokines, and adhesion molecules, the stroma-secreted chemokine stromal-derived factor 1␣ (SDF-1␣) and its cognate receptor CXCR4 have recently emerged as critical mediators of stromal/leukemic cell interactions. 7,8 SDF-1␣ and CXCR4 primarily regulate the migration, homing, and mobilization of hematopoietic cells. 9,10 Binding of SDF-1␣ to CXCR4 causes CXCR4 to be incorporated into lipid rafts 11 and increases its phosphorylation. 12 The latter leads to prolonged activation of the extracellular signaling-regulated kinase (ERK) and phosphoinositol 3-kinase (PI3K) pathways, 13 which are key signaling pathways that promote leukemia cells survival. 14,15 Both surface and intracellular 16 CXCR4 levels were found to be elevated in a subset of AML cases. Further, CXCR4 has been shown to mediate the homing and engraftment of AML cells to the bone marrow of nonobese diabetes (NOD)/severe combined immunodeficiency (SCID) mice. 17,18 Finally, CXCR4 was recently reported to be expressed at higher levels in cases of AML associated with an internal tandem duplication (ITD) type of mutation of the gene that encodes fetal liver tyrosine . 19 This is one of the most frequent mutations in AML, which confers poor response to chemotherapy and only transient response to FLT3 inhibitors. 20,21 Our recent studies, in addition, indicated that CXCR4 expression is associated with poor prognosis in patients with diploid AML regardless of FLT3 mutation status. 22,23 Altogether, these findings suggest that disruption of these interactions by SDF-1␣/CXCR4 antagonists represents a novel strategy for targeting leukemia/bone marrow microenvironment interactions. We have reported that inhibition of CXCR4 by specific synthetic peptides (ie, RCP168) interferes with stromal/ leukemic cell interactions and increases the sensitivity of leukemic cells to chemotherapy. 24 In this study, we used AMD3465 (Anormed and Genzyme, Cambridge, MA), a second-generation smallmolecule reversible inhibitor of SDF-1␣/CXCR4 with a half maximal inhibitory concentration (IC 50 An Inside Blood analysis of this article appears at the front of this issue.The online version of this article contains a data supplement.The publication costs of this article were defrayed in part by page charge payment. Therefore, and solely to indicate this fact, this article is hereby marked ''advertisement'' in accordance with 18 USC section 1734. For personal use on...

Midline pediatric high-grade astrocytomas (pHGAs) are incurable with few treatment targets identified. Most tumors harbor K27M mutations on histone 3 variants. In 40 treatment-naïve midline pHGAs, 39 analyzed by whole-exome sequencing, we find additional somatic mutations specific to tumor location. Gain-of-function mutations in ACVR1 occur in tumors of the pons in conjunction with H3.1 K27M, while FGFR1 mutations/fusions occur in thalamic tumors associated with H3.3 K27M. Hyper-activation of the bone morphogenetic protein (BMP)/ACVR1 developmental pathway in pHGAs harbouring ACVR1 mutations led to increased phospho-SMAD1/5/8 expression and up-regulation of BMP downstream early response genes in tumour cells. Global DNA methylation profiles were significantly associated with the K27M mutation regardless of the mutant H3 variant and irrespective of tumor location, supporting its role in driving the epigenetic phenotype. This significantly expands the potential treatment targets and further justifies pre-treatment biopsy in pHGA as a means to orient therapeutic efforts in this disease.

A B S T R A C T PurposeReports detailing the prognostic impact of TP53 mutations in medulloblastoma offer conflicting conclusions. We resolve this issue through the inclusion of molecular subgroup profiles. Patients and MethodsWe determined subgroup affiliation, TP53 mutation status, and clinical outcome in a discovery cohort of 397 medulloblastomas. We subsequently validated our results on an independent cohort of 156 medulloblastomas. ResultsTP53 mutations are enriched in wingless (WNT; 16%) and sonic hedgehog (SHH; 21%) medulloblastomas and are virtually absent in subgroups 3 and 4 tumors (P Ͻ .001). Patients with SHH/TP53 mutant tumors are almost exclusively between ages 5 and 18 years, dramatically different from the general SHH distribution (P Ͻ .001). Children with SHH/TP53 mutant tumors harbor 56% germline TP53 mutations, which are not observed in children with WNT/TP53 mutant tumors. Five-year overall survival (OS; Ϯ SE) was 41% Ϯ 9% and 81% Ϯ 5% for patients with SHH medulloblastomas with and without TP53 mutations, respectively (P Ͻ .001). Furthermore, TP53 mutations accounted for 72% of deaths in children older than 5 years with SHH medulloblastomas. In contrast, 5-year OS rates were 90% Ϯ 9% and 97% Ϯ 3% for patients with WNT tumors with and without TP53 mutations (P ϭ .21). Multivariate analysis revealed that TP53 status was the most important risk factor for SHH medulloblastoma. Survival rates in the validation cohort mimicked the discovery results, revealing that poor survival of TP53 mutations is restricted to patients with SHH medulloblastomas (P ϭ .012) and not WNT tumors. ConclusionSubgroup-specific analysis reconciles prior conflicting publications and confirms that TP53 mutations are enriched among SHH medulloblastomas, in which they portend poor outcome and account for a large proportion of treatment failures in these patients.

Combining subgroup and cytogenetic biomarkers with established clinical biomarkers substantially improves patient prognostication, even in the context of heterogeneous clinical therapies. The prognostic significance of most molecular biomarkers is restricted to a specific subgroup. We have identified a small panel of cytogenetic biomarkers that reliably identifies very high-risk and very low-risk groups of patients, making it an excellent tool for selecting patients for therapy intensification and therapy de-escalation in future clinical trials.