4.6

CiteScore

2.2

Impact Factor
  • ISSN 1674-8301
  • CN 32-1810/R
Volume 28 Issue 5
Aug.  2014
Turn off MathJax
Article Contents
Abstract
Related Articles
Jia Guo, Xin Chen, Ruxing Xi, Yuwei Chang, Xuanwei Zhang, Xiaozhi Zhang. AEG-1 expression correlates with CD133 and PPP6c levels in human glioma tissues[J]. The Journal of Biomedical Research, 2014, 28(5): 388-395. DOI: 10.7555/JBR.28.20140015
Citation: Jia Guo, Xin Chen, Ruxing Xi, Yuwei Chang, Xuanwei Zhang, Xiaozhi Zhang. AEG-1 expression correlates with CD133 and PPP6c levels in human glioma tissues[J]. The Journal of Biomedical Research, 2014, 28(5): 388-395. DOI: 10.7555/JBR.28.20140015
shu

AEG-1 expression correlates with CD133 and PPP6c levels in human glioma tissues

  • 1.

    Department of Radiotherapy, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.

  • 2.

    Department of Radiotherapy, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710062, China.

  • 3.

    Department of Radiotherapy, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710063, China.

  • 4.

    Department of Radiotherapy, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710064, China.

  • 5.

    Department of Radiotherapy, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710065, China.

  • 6.

    Department of Radiotherapy, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710066, China.

More Information
  • Received Date: February 07, 2014
  • Revised Date: February 27, 2014
    Graphical Abstract
    • Abstract
  • Astrocyte elevated gene-1 (AEG-1) is associated with tumor genesis and progression in a variety of human cancers. This study aimed to explore the significance of AEG-1 in glioma and investigate whether it correlated with radioresistance of glioma cells. Immunohistochemical staining showed that the intensity of AEG-1, CD133 and PPP6c protein expression in glioma tissues increased significantly, mainly in the cytoplasm. The expression rate of AEG-1, CD133 and PPP6c were 85.9% (67/78), 60.3% (47/78) and 65.8% (51/78), respectively. AEG-1 expression was correlated with age (r50.227, P50.045), clinical stage (r50.491, P,0.001) and clinical grade (r50.450, P,0.001). No correlation was found between AEG-1 expression and other clinicopathologic parameters (P.0.05). The expression of AEG-1 was positively correlated with the expression of CD133 (r50.240, P 5 0.035) and PPP6c (r5 0.250, P 5 0.027). In addition, retrieved data on TCGA implied co-occurrence of genomic alterations of AEG-1 and PPP6c in glioblastoma. Our findings indicate that AEG-1 is positively correlated with CD133 and AEG-1 expression. It may play an important role in the progression of glioma and may serve as potential novel marker of chemoresistance and radioresistance.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]Ziyu Zhao, Yi Zhou, Jinxing Guan, Yan Yan, Jing Zhao, Zhihang Peng, Feng Chen, Yang Zhao, Fang Shao. The relationship between compartment models and their stochastic counterparts: A comparative study with examples of the COVID-19 epidemic modeling[J]. The Journal of Biomedical Research, 2024, 38(2): 175-188. DOI: 10.7555/JBR.37.20230137
    [2]Gurumurthy Channabasavaiah B., Saunders Thomas L., Ohtsuka Masato. Designing and generating a mouse model: frequently asked questions[J]. The Journal of Biomedical Research, 2021, 35(2): 76-90. DOI: 10.7555/JBR.35.20200197
    [3]Quintero-Rincón Antonio, D'Giano Carlos, Batatia Hadj. A quadratic linear-parabolic model-based EEG classification to detect epileptic seizures[J]. The Journal of Biomedical Research, 2020, 34(3): 205-212. DOI: 10.7555/JBR.33.20190012
    [4]Wang Le Yi, McKelvey George M., Wang Hong. Multi-outcome predictive modelling of anesthesia patients[J]. The Journal of Biomedical Research, 2019, 33(6): 430-434. DOI: 10.7555/JBR.33.20180088
    [5]Maglione Michele, Salvador Enrico, Ruaro Maria E., Melato Mauro, Tromba Giuliana, Angerame Daniele, Bevilacqua Lorenzo. Bone regeneration with adipose derived stem cells in a rabbit model[J]. The Journal of Biomedical Research, 2019, 33(1): 38-45. DOI: 10.7555/JBR.32.20160066
    [6]Robert Scott Kiss, Allan Sniderman. Shunts, channels and lipoprotein endosomal traffic: a new model of cholesterol homeostasis in the hepatocyte[J]. The Journal of Biomedical Research, 2017, 31(2): 95-107. DOI: 10.7555/JBR.31.20160139
    [7]Mingming Gao, Guo Xin, Xu Qiu, Yuhui Wang, George Liu. Establishment of a rat model with diet-induced coronary atherosclerosis[J]. The Journal of Biomedical Research, 2017, 31(1): 47-55. DOI: 10.7555/JBR.31.20160020
    [8]Jiawei Liao, Wei Huang, George Liu. Animal models of coronary heart disease[J]. The Journal of Biomedical Research, 2017, 31(1): 3-10. DOI: 10.7555/JBR.30.20150051
    [9]Zengdi Zhang, Sanen Li, Steven Y Cheng. The miR-183~96~182 cluster promotes tumorigenesis in a mouse model of medulloblastoma[J]. The Journal of Biomedical Research, 2013, 27(6): 486-494. DOI: 10.7555/JBR.27.20130010
    [10]Keh-Dong Shiang, Fouad Kandeel. A computational model of the human glucose-insulin regulatory system[J]. The Journal of Biomedical Research, 2010, 24(5): 347-364. DOI: 10.1016/S1674-8301(10)60048-6

  • Cited by

    Periodical cited type(5)

    1. Langyan S, Bhardwaj R, Kumari J, et al. Nutritional Diversity in Native Germplasm of Maize Collected From Three Different Fragile Ecosystems of India. Front Nutr, 2022, 9: 812599. DOI:10.3389/fnut.2022.812599
    2. Juvinao-Quintero DL, Cardenas A, Perron P, et al. Associations between an integrated component of maternal glycemic regulation in pregnancy and cord blood DNA methylation. Epigenomics, 2021, 13(18): 1459-1472. DOI:10.2217/epi-2021-0220
    3. Zhang J, Wu X. Predict Health Care Accessibility for Texas Medicaid Gap. Healthcare (Basel), 2021, 9(9): 1214. DOI:10.3390/healthcare9091214
    4. Ayati M, Koyutürk M. PoCos: Population Covering Locus Sets for Risk Assessment in Complex Diseases. PLoS Comput Biol, 2016, 12(11): e1005195. DOI:10.1371/journal.pcbi.1005195
    5. Zhang Q, Zhao Y, Zhang R, et al. A Comparative Study of Five Association Tests Based on CpG Set for Epigenome-Wide Association Studies. PLoS One, 2016, 11(6): e0156895. DOI:10.1371/journal.pone.0156895

    Other cited types(0)

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (7008) PDF downloads (4147) Cited by(5)
    Related

    ©2023 by the Editorial Department of the Journals of Nanjing Medical University. All rights reserved.   苏ICP备05071376号-5

    Supported by: Beijing Renhe Information Technology Co., Ltd. E-mail: info@rhhz.net  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return