Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Chuandong Cheng"'
Autor:
Xiaolong Qiao, Zixuan Wang, Yinan Chen, Nan Peng, Hongwei Zhang, Chaoshi Niu, Chuandong Cheng
Publikováno v:
Cell Death and Disease, Vol 15, Iss 11, Pp 1-15 (2024)
Abstract This study aims to explore the inhibitory effects of combined metformin and simvastatin therapy on the malignant progression of glioma. The research specifically examines how the maturation of SREBP2 as a transcription factor affects the exp
Externí odkaz:
https://doaj.org/article/ce24f6f3f7b84a76a83e51b70d6ba1a2
Autor:
Zixuan Wang, Xiaolong Qiao, Yinan Chen, Nan Peng, Chaoshi Niu, Yang Wang, Cong Li, Zengchun Hu, Caihua Zhang, Chuandong Cheng
Publikováno v:
Cell Death Discovery, Vol 10, Iss 1, Pp 1-12 (2024)
Abstract Glioblastoma (GBM) presents significant challenges due to its invasive nature and genetic heterogeneity. In this study, we investigated the impact of Small VCP/P97-Interacting Protein (SVIP) on GBM progression. Our results revealed elevated
Externí odkaz:
https://doaj.org/article/aa955e42045c455998711c8410f015e9
Autor:
Luoyi Tian, Nan Peng, Zhongrun Qian, Jinpeng Hu, Wei Cheng, Yanghua Xia, Chuandong Cheng, Ying Ji
Publikováno v:
BMC Surgery, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background In assessing the clinical utility and safety of 3.0 T intraoperative magnetic resonance imaging (iMRI) combined with multimodality functional MRI (fMRI) guidance in the resection of functional area gliomas, we conducted a study. M
Externí odkaz:
https://doaj.org/article/9e8c8b7da8a44c708362e6c5b13b9922
Unveiling the therapeutic potential of IHMT-337 in glioma treatment: targeting the EZH2-SLC12A5 axis
Publikováno v:
Molecular Medicine, Vol 30, Iss 1, Pp 1-19 (2024)
Abstract Glioma is the most common malignant tumor of the central nervous system, with EZH2 playing a crucial regulatory role. This study further explores the abnormal expression of EZH2 and its mechanisms in regulating glioma progression. Additional
Externí odkaz:
https://doaj.org/article/270f3ab4eb1a4638aa5e325081f6f818
Publikováno v:
Chinese Neurosurgical Journal, Vol 9, Iss 1, Pp 1-6 (2023)
Abstract Background Calcifying pseudoneoplasm of the neuraxis (CAPNON) is indeed a rare central nervous system lesion that can occur in central nervous system (CNS). Due to its infrequency and limited literature reports, it is challenging to diagnose
Externí odkaz:
https://doaj.org/article/2b40e767d425472fa9195366c4f73a24
Autor:
Nianping Liu, Chen Jiang, Xinfeng Yao, Minghao Fang, Xiaolong Qiao, Lin Zhu, Zongcheng Yang, Xuyuan Gao, Ying Ji, Chaoshi Niu, Chuandong Cheng, Kun Qu, Jun Lin
Publikováno v:
Cell Discovery, Vol 9, Iss 1, Pp 1-17 (2023)
Abstract Understanding tumor heterogeneity and immune infiltrates within the tumor-immune microenvironment (TIME) is essential for the innovation of immunotherapies. Here, combining single-cell transcriptomics and chromatin accessibility sequencing,
Externí odkaz:
https://doaj.org/article/3b6ed7e49fa0464497923185b2ce0673
Autor:
Zengchun Hu, Chuandong Cheng, Yue Wang, Tianrui Chen, Junhong Tu, Chaoshi Niu, Rong Xing, Yang Wang, Yinghui Xu
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Neuroblastoma is the most common extracranial neuroendocrine tumor in childhood. Although many studies have tried to find effective treatments, there are still numerous limitations in current clinical targeted therapy. So, it is important to find new
Externí odkaz:
https://doaj.org/article/fcd628f32b1d4c10b64f3b8150ca6dbd
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Aiming at the limitation of the convolution kernel with a fixed receptive field and unknown prior to optimal network width in U-Net, multi-scale U-Net (MSU-Net) is proposed by us for medical image segmentation. First, multiple convolution sequence is
Externí odkaz:
https://doaj.org/article/f73139d6081d46bdbd74facc9dc4228b
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Multimodal medical images provide significant amounts of complementary semantic information. Therefore, multimodal medical imaging has been widely used in the segmentation of gliomas through computational neural networks. However, inputting images fr
Externí odkaz:
https://doaj.org/article/8268e676dc8840988925d50807abce82
Publikováno v:
Cancer Management and Research. 12:12439-12445
Purpose and objective Auto planning might reduce the manual time required for the optimization and could also potentially improve the overall plan quality. The aim of this study is to demonstrate the statistical comparison of automatic (AU) and manua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd95074cc85bbb3aa32deade94f98aa4
https://doi.org/10.2147/cmar.s226495
https://doi.org/10.2147/cmar.s226495