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Machine learning may identify medulloblastoma subtypes

The combination of machine learning and radiomics can predict the molecular...Read more on AuntMinnie.comRelated Reading: Is artificial intelligence ethical in healthcare? Deep learning may produce sharp reductions in DBT dose Deep learning can detect intracranial calcifications on CT Deep learning can quantify CAC on low-dose CT Deep-learning algorithm can stratify lung nodule risk
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news

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In conclusion, our data show that Notch signaling affects the hypoxic response via regulation of HIF2a, which may be important for future cancer therapies.
Source: GEO: Gene Expression Omnibus - Category: Genetics & Stem Cells Tags: Expression profiling by high throughput sequencing Homo sapiens Source Type: research
Journal of Cellular Biochemistry, EarlyView.
Source: Journal of Cellular Biochemistry - Category: Biochemistry Authors: Source Type: research
The present case was a 38-year-old male who presented with progressive hearing loss, resulting in profound bilateral hearing loss. He had a past history of childhood medulloblastoma, which was treated with posterior fossa craniotomy and radiotherapy. A ventriculoperitoneal (VP) shunt was put in place to manage the hydrocephalus. Cochlear implantation (CI) was carried out on his right ear by a standard procedure. At CI activation, the electric impedance of the electrode was very high, and computed tomography revealed that there was no area of liquid density, suggesting depletion of the perilymph in the cochlea and vestibule.
Source: Auris, Nasus, Larynx - Category: ENT & OMF Authors: Source Type: research
MEKK2 and MEKK3 suppress Hedgehog pathway-dependent medulloblastoma by inhibiting GLI1 function, Published online: 17 April 2018; doi:10.1038/s41388-018-0249-5MEKK2 and MEKK3 suppress Hedgehog pathway-dependent medulloblastoma by inhibiting GLI1 function
Source: Oncogene - Category: Cancer & Oncology Authors: Source Type: research
Rider and Victoria McDowell made a fortune together, and produced real riches with the birth of three boys. But five years ago their son Errol was diagnosed with medulloblastoma, a rare brain cancer. After an experimental drug slowed the disease, they are now helping fund research in pediatric brain cancer in the hope of finding a cure. Tracy Smith reports.
Source: Health News: CBSNews.com - Category: Consumer Health News Source Type: news
Recent advances in molecular pathology have reshaped the practice of brain tumor diagnostics. The classification of gliomas has been restructured with the discovery of isocitrate dehydrogenase (IDH) 1/2 mutations in the vast majority of lower grade infiltrating gliomas and secondary glioblastomas (GBM), with IDH-mutant astrocytomas further characterized by TP53 and ATRX mutations. Whole-arm 1p/19q codeletion in conjunction with IDH mutations now define oligodendrogliomas, which are also enriched for CIC, FUBP1, PI3K, NOTCH1, and TERT-p mutations. IDH-wild-type (wt) infiltrating astrocytomas are mostly primary GBMs and are ...
Source: Advances in Anatomic Pathology - Category: Pathology Tags: Review Articles Source Type: research
We present the case of a patient with desmoplastic type of medulloblastoma, which showed recurrence more than once. When 68Ga-DOTANOC PET-CT was done, the lesions showed somatostatin receptor expression, opening another potential therapeutic option for this patient.
Source: Clinical Nuclear Medicine - Category: Nuclear Medicine Tags: Interesting Images Source Type: research
Abstract Understanding pediatric brain tumor biology is essential to help on disease stratification, and to find novel markers for early diagnosis. MicroRNA (miRNA) expression has been linked to clinical outcomes and tumor biology. Here, we aimed to detect the expression of different miRNAs in different pediatric brain tumor subtypes to discover biomarkers for early detection and develop novel therapies. Expression of 82 miRNAs was detected in 120 pediatric brain tumors from fixed-formalin paraffin-embedded tissues, low-grade glioma, high-grade glioma, ependymoma, and medulloblastoma, using quantitative real-time PCR. Low-...
Source: Genetics and Molecular Biology - Category: Genetics & Stem Cells Source Type: research
Authors: Gong C, Valduga J, Chateau A, Richard M, Pellegrini-Moïse N, Barberi-Heyob M, Chastagner P, Boura C Abstract Medulloblastoma (MB) is the most common malignant pediatric brain tumor. Despite the progress of new treatments, the risk of recurrence, morbidity, and death remains important. The neuropilin-1 (NRP-1) receptor has recently been implicated in tumor progression of MB, which seems to play an important role in the phenotype of cancer stem cells. Targeting this receptor appears as an interesting strategy to promote MB stem cells differentiation. Cancer stem-like cells of 3 MB cell lines (DAOY, D283...
Source: Oncotarget - Category: Cancer & Oncology Tags: Oncotarget Source Type: research
A deep-learning algorithm can transform low-resolution, thick-slice knee MR...Read more on AuntMinnie.comRelated Reading: Machine learning may identify medulloblastoma subtypes Is artificial intelligence ethical in healthcare? Deep learning may produce sharp reductions in DBT dose AI can help distinguish lung nodules on CT scans Can AI help in the fight against gadolinium deposition?
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
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