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  • Open Access

    ARTICLE

    Analysis of the personalized treatment and the relevant prognostic factors in children with medulloblastoma

    LIHUA CHEN1,2,#, HONGTIAN ZHANG1,2,#, YONG XIA1,2, KAI SUN1, WENJIN CHEN1, RUXIANG XU1,2,*

    BIOCELL, Vol.47, No.5, pp. 1065-1073, 2023, DOI:10.32604/biocell.2023.025924

    Abstract Purpose: The present study summarized cases of children (n = 32) with medulloblastoma (MB) who were treated using stratified therapy based on risk grading and also discussed the factors affecting prognosis. Methods: According to the risk stratification criteria, the cases were divided into the following four risk groups: low, standard, high, and very high. The 5-year overall survival (OS) and progression-free survival (PFS) rates were summarized. Further, the effects on the prognosis of tumor size, tumor stage, degree of resection, treatment mode, metastatic recurrence, molecular typing, and risk stratification were analyzed. Results: In the present study, following… More >

  • Open Access

    ARTICLE

    Deep Learning Framework for the Prediction of Childhood Medulloblastoma

    M. Muthalakshmi1,*, T. Merlin Inbamalar2, C. Chandravathi3, K. Saravanan4

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 735-747, 2023, DOI:10.32604/csse.2023.032449

    Abstract This research work develops new and better prognostic markers for predicting Childhood MedulloBlastoma (CMB) using a well-defined deep learning architecture. A deep learning architecture could be designed using ideas from image processing and neural networks to predict CMB using histopathological images. First, a convolution process transforms the histopathological image into deep features that uniquely describe it using different two-dimensional filters of various sizes. A 10-layer deep learning architecture is designed to extract deep features. The introduction of pooling layers in the architecture reduces the feature dimension. The extracted and dimension-reduced deep features from the arrangement More >

  • Open Access

    ARTICLE

    Inhibition of Long Noncoding RNA CRNDE Increases Chemosensitivity of Medulloblastoma Cells by Targeting miR-29c-3p

    Xiao-hui Sun*, Wen-jie Fan, Zong-jian An, Yong Sun

    Oncology Research, Vol.28, No.1, pp. 95-102, 2020, DOI:10.3727/096504019X15742472027401

    Abstract Long noncoding RNA CRNDE (CRNDE) recently emerged as a carcinogenic promoter in various cancers including medulloblastoma. However, the functions and molecular mechanisms of CRNDE to the acquired drug resistance of medulloblastoma are still unclear. The transcript levels of CRNDE were examined in four medulloblastoma cell lines exposed to cisplatin treatment, and IC50 values were calculated. Effects of CRNDE knockdown or miR-29c-3p overexpression on cell viability, colony formation, apoptosis, migration, and invasion were assessed using the CCK-8, colony formation assay, flow cytometry, and Transwell assays, respectively. RNA pulldown and RNA-binding protein immunoprecipitation (RIP) were performed to confirm… More >

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