GKRS proved to be a safe and effective treatment for patients followed longer than 5 years who presented with tumors with a volume of less than 15 cm3 and who did not have significant fourth ventricle deviation. Good functional outcomes were observed in this group of patients.

Cell division is an elemental process, and mainly consists of chromosome segregation and subsequent cytokinesis. Some errors in this process have the possibility of leading to carcinogenesis. Aurora-B is known as a chromosomal passenger protein that regulates cell division. In our previous studies of giant cell glioblastoma, we reported that multinucleated giant cells resulted from aberrations in cytokinesis with intact nuclear division occurring in the early mitotic phase, probably due to Aurora-B dysfunction. In this study, as we determined p53 gene mutation occurring in multinucleated giant cell glioblastoma, we investigated the role of Aurora-B in formation of multinucleated cells in human neoplasm cells with various p53 statuses as well as cytotoxity of glioma cells to temozolomide (TMZ), a common oral alkylating agent used in the treatment of gliomas. The inhibition of Aurora-B function by small-interfering (si)RNA led to an increase in the number of multinucleated cells and the ratios of G2/M phase in p53-mutant and p53-null cells, but not in p53-wild cells or the cells transduced adenovirally with wild-p53. The combination of TMZ and Aurora-B-siRNA remarkably inhibited the cell viability of TMZ-resistant glioma cells. Accordingly, our results suggested that Aurora-B dysfunction increases in the appearance of multinucleated cells in p53 gene deficient cells, and TMZ treatment in combination with the inhibition of Aurora-B function may become a potential therapy against p53 gene deficient and chemotherapeutic-resistant human gliomas.

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This paper proposes a novel compressed sensing (CS) framework for reconstructing electroencephalogram (EEG) signals. A feature of this framework is the application of independent component analysis (ICA) to remove the interference from artifacts after undersampling in a data processing unit. Therefore, we can remove the ICA processing block from the sensing unit. In this framework, we used a random undersampling measurement matrix to suppress the Gaussian. The developed framework, in which the discrete cosine transform basis and orthogonal matching pursuit were used, was evaluated using raw EEG signals with a pseudo-model of an eye-blink artifact. The normalized mean square error (NMSE) and correlation coefficient (CC), obtained as the average of 2,000 results, were compared to quantitatively demonstrate the effectiveness of the proposed framework. The evaluation results of the NMSE and CC showed that the proposed framework could remove the interference from the artifacts under a high compression ratio.