4.2 Article

Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis

Journal

BIOMED RESEARCH INTERNATIONAL
Volume 2018, Issue -, Pages -

Publisher

HINDAWI LTD
DOI: 10.1155/2018/5238760

Keywords

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Funding

  1. National Natural Science Foundation of China [81773290, 81472315, 81302229]
  2. Natural Science Foundation of Guangdong Province [2014A030313167, 2017A030313497]
  3. National Key Technology Research and Development Program of the Ministry of Science and Technology of China [2014BAI04B01]
  4. President Foundation of Nanfang Hospital, Southern Medical University [2017C025]

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TMZ resistance remains one of the main reasons why treatment of glioblastoma (GBM) fails. In order to investigate the underlying proteins and pathways associated with TMZ resistance, we conducted a cytoplasmic proteome research of U87 cells treated with TMZ for 1 week, followed by differentially expressed proteins (DEPs) screening, KEGG pathway analysis, protein-protein interaction (PPI) network construction, and validation of key candidate proteins in TCGA dataset. A total of 161 DEPs including 65 upregulated proteins and 96 downregulated proteins were identified. Upregulated DEPs were mainly related to regulation in actin cytoskeleton, focal adhesion, and phagosome and PI3K-AKT signaling pathways which were consistent with our previous studies. Further, themost significantmodule consisted of 28 downregulated proteins that were filtered fromthe PPI network, and 9 proteins (DHX9, HNRNPR, RPL3, HNRNPA3, SF1, DDX5, EIF5B, BTF3, and RPL8) among them were identified as the key candidate proteins, which were significantly associated with prognosis of GBM patients and mainly involved in ribosome and spliceosome pathway. Taking the above into consideration, we firstly identified candidate proteins and pathways associated with TMZ resistance inGBMusing proteomics and bioinformatic analysis, and these proteins could be potential biomarkers for prevention or prediction of TMZ resistance in the future.

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