The cerebral vasculature and the choroid plexus are innervated by peripheral nerves. The anatomy of the vascular supply to the brain and its related perivascular nerves is reviewed. Intracerebral and intraventricular schwannomas most likely come from neoplastic transformation of Schwann cells investing the perivascular nerves and nerves within the choroid plexus.
View Article and Find Full Text PDFBackground: A significant number of medulloblastomas (MBs) originate from abnormal activation of the sonic hedgehog/patched (SHH/PTC) signaling pathway. Although p53 deficiency enhances tumor formation in mice, inactivation of the p53 gene is seen in a minority of MBs. Wild-type p53-induced phosphatase 1 (WIP1) downregulates p53 expression and has been shown to be overexpressed in MBs.
View Article and Find Full Text PDFMedulloblastoma is the most common malignant brain tumor of childhood. Despite numerous advances, clinical challenges range from recurrent and progressive disease to long-term toxicities in survivors. The lack of more effective, less toxic therapies results from our limited understanding of medulloblastoma growth.
View Article and Find Full Text PDFBackground: Medulloblastoma is the most common malignant brain tumor of childhood. Children who relapse usually die of their disease, which reflects resistance to radiation and/or chemotherapy. Improvements in outcome require a better understanding of the molecular basis of medulloblastoma growth and treatment response.
View Article and Find Full Text PDFRhabdomyosarcoma is the most common soft tissue sarcoma of childhood. Improving the management of rhabdomyosarcoma requires a better understanding of growth regulation. Patched haploinsufficient (Ptch+/-) mice spontaneously develop soft tissue sarcomas that resemble human rhabdomyosarcomas.
View Article and Find Full Text PDFBackground: Medulloblastoma is the most common malignant brain tumor of childhood. Improvements in clinical outcome require a better understanding of the genetic alterations to identify clinically significant biological factors and to stratify patients accordingly. In the present study, we applied cytogenetic characterization to guide the identification of biologically significant genes from gene expression microarray profiles of medulloblastoma.
View Article and Find Full Text PDFExpression of the neurotrophin-3 receptor, tyrosine kinase C (TrkC), is associated with favorable prognosis in medulloblastoma patients. This may be due to increased tumor apoptosis induced by TrkC activation. Neurotrophin-3/TrkC-induced apoptosis is inhibited by the mitogen-activated protein (MAP) kinase (MAPK) pharmacologic antagonists SB203580 and PD98059.
View Article and Find Full Text PDFIdentification of common mechanisms underlying organ development and primary tumor formation should yield new insights into tumor biology and facilitate the generation of relevant cancer models. We have developed a novel method to project the gene expression profiles of medulloblastomas (MBs)--human cerebellar tumors--onto a mouse cerebellar development sequence: postnatal days 1-60 (P1-P60). Genomically, human medulloblastomas were closest to mouse P1-P10 cerebella, and normal human cerebella were closest to mouse P30-P60 cerebella.
View Article and Find Full Text PDFPurpose: Stratification of risk in patients with medulloblastoma remains a challenge. As clinical parameters have been proven insufficient for accurately defining disease risk, molecular markers have become the focus of interest. Outcome predictions on the basis of microarray gene expression profiles have been the most accurate to date.
View Article and Find Full Text PDFMedulloblastoma is a cerebellar tumor that can arise through aberrant activation of Sonic hedgehog (Shh) signaling, which normally regulates cerebellar granule cell proliferation. Mutations of the Shh receptor PATCHED (PTCH) are associated with medulloblastomas, which have not been found to have loss of PTCH heterozygosity. We address whether patched (Ptc) heterozygosity fundamentally alters granule cell differentiation and contributes to tumorigenesis by increasing proliferation and/or decreasing apoptosis in Ptc+/- mice.
View Article and Find Full Text PDFExperimental mouse models are emerging as useful systems for the study of human brain tumors. Nuclear magnetic resonance imaging (MRI) methods can noninvasively provide images of complex heterogeneous tissues such as experimental brain tumors. The current report demonstrates the feasibility of longitudinal high-resolution MRI in two mouse brain tumor models: patched heterozygous (ptc +/-) mice with spontaneously arising posterior fossa tumors that resemble human medulloblastoma, and homozygous nude mice implanted with intracerebral xenografts of human medulloblastoma cell lines.
View Article and Find Full Text PDFTo address the hypothesis that medulloblastoma or supratentorial primitive neuroectodermal tumor (sPNET) can arise through infection by polyomaviruses, we examined genomic DNA isolated from 15 primary medulloblastoma and 5 sPNET biopsy specimens and from 2 medulloblastoma cell lines for the presence of DNA sequences from the polyomaviruses simian virus 40 (SV40), JC virus, and BK virus. These polyomaviruses have oncogenic potential in animals, and their DNA sequences have been detected in other surveys of various solid tumors, including childhood brain tumors. The tumor DNA samples were analyzed by Southern blot hybridization of polymerase chain reaction products that employed probes designed to detect specific polyomavirus sequences.
View Article and Find Full Text PDFEmbryonal tumours of the central nervous system (CNS) represent a heterogeneous group of tumours about which little is known biologically, and whose diagnosis, on the basis of morphologic appearance alone, is controversial. Medulloblastomas, for example, are the most common malignant brain tumour of childhood, but their pathogenesis is unknown, their relationship to other embryonal CNS tumours is debated, and patients' response to therapy is difficult to predict. We approached these problems by developing a classification system based on DNA microarray gene expression data derived from 99 patient samples.
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