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      Children's Oncology Group Phase III Trial of Reduced-Dose and Reduced-Volume Radiotherapy With Chemotherapy for Newly Diagnosed Average-Risk Medulloblastoma

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          Abstract

          PURPOSE

          Children with average-risk medulloblastoma (MB) experience survival rates of ≥ 80% at the expense of adverse consequences of treatment. Efforts to mitigate these effects include deintensification of craniospinal irradiation (CSI) dose and volume.

          METHODS

          ACNS0331 (ClinicalTrials.gov identifier: NCT00085735 ) randomly assigned patients age 3-21 years with average-risk MB to receive posterior fossa radiation therapy (PFRT) or involved field radiation therapy (IFRT) following CSI. Young children (3-7 years) were also randomly assigned to receive standard-dose CSI (SDCSI; 23.4 Gy) or low-dose CSI (LDCSI; 18 Gy). Post hoc molecular classification and mutational analysis contextualized outcomes according to known biologic subgroups (Wingless, Sonic Hedgehog, group 3, and group 4) and genetic biomarkers. Neurocognitive changes and ototoxicity were monitored over time.

          RESULTS

          Five hundred forty-nine patients were enrolled on study, of which 464 were eligible and evaluable to compare PFRT versus IFRT and 226 for SDCSI versus LDCSI. The five-year event-free survival (EFS) was 82.5% (95% CI, 77.2 to 87.8) and 80.5% (95% CI, 75.2 to 85.8) for the IFRT and PFRT regimens, respectively, and 71.4% (95% CI, 62.8 to 80) and 82.9% (95% CI, 75.6 to 90.2) for the LDCSI and SDCSI regimens, respectively. IFRT was not inferior to PFRT (hazard ratio, 0.97; 94% upper CI, 1.32). LDCSI was inferior to SDCSI (hazard ratio, 1.67%; 80% upper CI, 2.10). Improved EFS was observed in patients with Sonic Hedgehog MB who were randomly assigned to the IFRT arm ( P = .018). Patients with group 4 MB receiving LDCSI exhibited inferior EFS ( P = .047). Children receiving SDCSI exhibited greater late declines in IQ (estimate = 5.87; P = .021).

          CONCLUSION

          Reducing the radiation boost volume in average-risk MB is safe and does not compromise survival. Reducing CSI dose in young children with average-risk MB results in inferior outcomes, possibly in a subgroup-dependent manner, but is associated with better neurocognitive outcome. Molecularly informed patient selection warrants further exploration for children with MB to be considered for late-effect sparing approaches.

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          Most cited references24

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          The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

          The 2016 World Health Organization Classification of Tumors of the Central Nervous System is both a conceptual and practical advance over its 2007 predecessor. For the first time, the WHO classification of CNS tumors uses molecular parameters in addition to histology to define many tumor entities, thus formulating a concept for how CNS tumor diagnoses should be structured in the molecular era. As such, the 2016 CNS WHO presents major restructuring of the diffuse gliomas, medulloblastomas and other embryonal tumors, and incorporates new entities that are defined by both histology and molecular features, including glioblastoma, IDH-wildtype and glioblastoma, IDH-mutant; diffuse midline glioma, H3 K27M-mutant; RELA fusion-positive ependymoma; medulloblastoma, WNT-activated and medulloblastoma, SHH-activated; and embryonal tumour with multilayered rosettes, C19MC-altered. The 2016 edition has added newly recognized neoplasms, and has deleted some entities, variants and patterns that no longer have diagnostic and/or biological relevance. Other notable changes include the addition of brain invasion as a criterion for atypical meningioma and the introduction of a soft tissue-type grading system for the now combined entity of solitary fibrous tumor / hemangiopericytoma-a departure from the manner by which other CNS tumors are graded. Overall, it is hoped that the 2016 CNS WHO will facilitate clinical, experimental and epidemiological studies that will lead to improvements in the lives of patients with brain tumors.
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            DNA methylation-based classification of central nervous system tumours

            Summary Accurate pathological diagnosis is crucial for optimal management of cancer patients. For the ~100 known central nervous system (CNS) tumour entities, standardization of the diagnostic process has been shown to be particularly challenging - with substantial inter-observer variability in the histopathological diagnosis of many tumour types. We herein present the development of a comprehensive approach for DNA methylation-based CNS tumour classification across all entities and age groups, and demonstrate its application in a routine diagnostic setting. We show that availability of this method may have substantial impact on diagnostic precision compared with standard methods, resulting in a change of diagnosis in up to 12% of prospective cases. For broader accessibility we have designed a free online classifier tool (www.molecularneuropathology.org) requiring no additional onsite data processing. Our results provide a blueprint for the generation of machine learning-based tumour classifiers across other cancer entities, with the potential to fundamentally transform tumour pathology.
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              Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas

              Medulloblastoma is the most common malignant brain tumor in childhood. Molecular studies from several groups around the world demonstrated that medulloblastoma is not one disease but comprises a collection of distinct molecular subgroups. However, all these studies reported on different numbers of subgroups. The current consensus is that there are only four core subgroups, which should be termed WNT, SHH, Group 3 and Group 4. Based on this, we performed a meta-analysis of all molecular and clinical data of 550 medulloblastomas brought together from seven independent studies. All cases were analyzed by gene expression profiling and for most cases SNP or array-CGH data were available. Data are presented for all medulloblastomas together and for each subgroup separately. For validation purposes, we compared the results of this meta-analysis with another large medulloblastoma cohort (n = 402) for which subgroup information was obtained by immunohistochemistry. Results from both cohorts are highly similar and show how distinct the molecular subtypes are with respect to their transcriptome, DNA copy-number aberrations, demographics, and survival. Results from these analyses will form the basis for prospective multi-center studies and will have an impact on how the different subgroups of medulloblastoma will be treated in the future. Electronic supplementary material The online version of this article (doi:10.1007/s00401-012-0958-8) contains supplementary material, which is available to authorized users.
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                Author and article information

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                Journal
                Journal of Clinical Oncology
                JCO
                American Society of Clinical Oncology (ASCO)
                0732-183X
                1527-7755
                June 10 2021
                : JCO.20.02730
                Affiliations
                [1 ]Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO
                [2 ]Department of Pediatrics, Emory University School of Medicine, Atlanta, GA
                [3 ]Division of Diagnostic Imaging and Radiology, Children's National Medical Center, Washington, DC
                [4 ]Department of Developmental Neurobiology, St Jude Children's Research Hospital, Memphis, TN
                [5 ]Department of Biostatistics, St Jude Children's Research Hospital, Memphis, TN
                [6 ]Department of Neuropathology, Johns Hopkins University, Baltimore, MD
                [7 ]Department of Pediatrics, University of Texas Health Science Center at San Antonio, San Antonio, TX
                [8 ]Loretto Heights School of Nursing, Regis University, Denver, CO
                [9 ]Division of Neuropsychology, Children's National Medical Center, Washington, DC
                [10 ]Department of Neurology, Harvard Medical School, Boston, MA
                [11 ]Department of Rehabilitation Services, St Jude's Children's Research Hospital, Memphis, TN
                [12 ]Department of Radiation Oncology, St Jude's Children's Research Hospital, Memphis, TN
                [13 ]Division of Hematology/Oncology/BMT, Primary Children's Hospital, Aurora, CO
                [14 ]Image and Radiation Oncology Core-Rhode Island, Lincoln, RI
                [15 ]Department of Radiology, UT Southwestern/Simmons Cancer Center, Dallas, TX
                [16 ]Department of Radiation Oncology, Miller Children's and Women's Hospital Long Beach, Long Beach, CA
                [17 ]Department of Neurosurgery, University of Michigan, Ann Arbor, MI
                [18 ]Department of Radiation Oncology, Massachusetts General Hospital Cancer Center, Boston, MA
                [19 ]Department of Pediatrics, University of Cincinnati, Cincinnati, OH
                [20 ]Department of Neurosurgery, Children's Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA
                [21 ]Center for Neuroscience and Behavioral Medicine, Children's National Medical Center, Washington, DC
                [22 ]Department of Oncology, St Jude's Children's Research Hospital, Memphis, TN
                Article
                10.1200/JCO.20.02730
                34110925
                3809a41a-4bab-4f42-bf77-a4c7b8bf5dff
                © 2021
                History

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