Fei Li^*1, Bin Liu^†1, Xiaolan Zhou^*, Quan Xu^‡

Oncology Research, Vol.26, No.9, pp. 1365-1373, 2018, DOI:10.3727/096504018X15154085345907

Abstract DNA damage response induced by ionizing radiation (IR) is an important event involved in the sensitivity and efficiency of radiotherapy in human medulloblastoma. RNF8 is an E3 ubiquitin ligase and has key roles in the process of DNA damage and repair. Our study aimed to evaluate the effect of RNF8 in the DNA damage repair induced by IR exposure in medulloblastoma cells. We found that the levels of RNF8 were significantly upregulated by γ-ray irradiation in a dose-dependent manner in medulloblastoma cells and colocalized with γ-H2AX, a sensitive marker of DNA double-strand breaks induced by… More >

LIHUA CHEN^1,2,#, HONGTIAN ZHANG^1,2,#, YONG XIA^1,2, KAI SUN¹, WENJIN CHEN¹, RUXIANG XU^1,2,*

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 >

M. Muthalakshmi^1,*, 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 >

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 >