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| http://dx.doi.org/10.1007/s00401-021-02346-8 | DOI Listing |
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Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network.
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Department of Computer Applications, Kalasalingam Academy of Research and Education - Deemed to be University, Krishnankoil, India.
Brain tumors can cause difficulties in normal brain function and are capable of developing in various regions of the brain. Malignant tumours can develop quickly, pass through neighboring tissues, and extend to further brain regions or the central nervous system. In contrast, healthy tumors typically develop slowly and do not invade surrounding tissues.
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Department of Neurology, Weill Institute for Neuroscience, University of California San Francisco, San Francisco, United States.
Mutations in Sonic Hedgehog (SHH) signaling pathway genes, for example, (SUFU), drive granule neuron precursors (GNP) to form medulloblastomas (MB). However, how different molecular lesions in the Shh pathway drive transformation is frequently unclear, and mutations in the cerebellum seem distinct. In this study, we show that fibroblast growth factor 5 (FGF5) signaling is integral for many infantile MB cases and that expression is uniquely upregulated in infantile MB tumors.
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View Article and Find Full Text PDFAssociation Between Polymorphisms in DNA Repair Genes and Glioma Susceptibility: A Meta-Analysis of Four Single Nucleotide Polymorphisms (rs3212986, rs13181, rs25487, and rs861539).
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Department of Neurosurgery, Aristotle University of Thessaloniki, AHEPA University Hospital, Thessaloniki, GRC.
Cases with central nervous system tumors represent a small amount of all tumors, and the diagnosis of high-grade gliomas (HGGs) is mostly difficult as they frequently show intratumoral morphological heterogeneity. Genetic factors, such as single nucleotide polymorphisms (SNPs), have an important role in modifying glioma susceptibility. We conducted a comprehensive meta-analysis to investigate the ERCC1 (rs3212986), ERCC2 (rs13181), XRCC1 (rs25487), and XRCC3 (rs861539) genes to see if they are any risk factors for glioma susceptibility.
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