Literature DB >> 27258564

Identification of New Biomarkers Associated With IDH Mutation and Prognosis in Astrocytic Tumors Using NanoString nCounter Analysis System.

Ming Zhang1, Yi Pan2, Xueling Qi3, Yan Liu1, Rongfang Dong4, Danfeng Zheng1, Qing Chang1, Jing Zhang1, Weigang Fang1, Yanfeng Zhong1.   

Abstract

BACKGROUND: Isocitrate dehydrogenase (IDH) mutations have been reported as biomarkers associated with tumorigenesis and prognosis in gliomas. However, genes affected by these mutations are still under investigation. The purpose of this study is to identify new molecular biomarkers associated with IDH mutation and prognosis in astrocytic tumors, which account for the largest proportion of gliomas.
MATERIALS AND METHODS: NanoString analysis was conducted on 40 astrocytic tumors. In total, 69 genes and 6 fusion genes were selected for screening. Quantitative real-time polymerase chain reaction and immunohistochemistry were used to validate the selected discriminatory genes. Kaplan-Meier survival curves and log-rank test were used to analyze the overall survival and progression-free survival.
RESULTS: mRNA levels of NTRK3, ERCC1, JAK2, AXL, BCL2, ESR1, HSP90AB1, TUBB3, RET, and ABCG2 were elevated in the IDH mutant group, whereas levels of POSTN and ERBB2 were elevated in the IDH wild-type group. Genes more highly expressed in the better prognosis group included NTRK3, ERCC1, ROS1, ERBB4, BCL2, CDKN2A, AXL, PI3KCA, HSP90AB1, ABCG2, JAK2, and RET. In the worse prognosis group, TIMP1, POSTN, and ERBB2 showed increased expressions. The elevated expression of HSP90AB1 was correlated with IDH mutation, long survival, and secondary glioblastomas. Elevated TIMP1 expression was related to high tumor grade and short patient survival. The results of NanoString were confirmed with quantitative real-time polymerase chain reaction and immunohistochemistry.
CONCLUSIONS: HSP90AB1 is related to IDH mutation and the expressions of HSP90AB1 and TIMP1 can predict prognosis in astrocytic tumors. The NanoString analysis system is a precise and reliable method to detect mRNA expression in formalin-fixed paraffin-embedded samples.

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Year:  2018        PMID: 27258564     DOI: 10.1097/PAI.0000000000000396

Source DB:  PubMed          Journal:  Appl Immunohistochem Mol Morphol        ISSN: 1533-4058


  4 in total

1.  A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas.

Authors:  Chandan Ganesh Bangalore Yogananda; Bhavya R Shah; Maryam Vejdani-Jahromi; Sahil S Nalawade; Gowtham K Murugesan; Frank F Yu; Marco C Pinho; Benjamin C Wagner; Bruce Mickey; Toral R Patel; Baowei Fei; Ananth J Madhuranthakam; Joseph A Maldjian
Journal:  Neuro Oncol       Date:  2020-03-05       Impact factor: 12.300

2.  Kernel Differential Subgraph Analysis to Reveal the Key Period Affecting Glioblastoma.

Authors:  Jiang Xie; Jiamin Sun; Jiatai Feng; Fuzhang Yang; Jiao Wang; Tieqiao Wen; Qing Nie
Journal:  Biomolecules       Date:  2020-02-17

3.  Screening of Methylation Signature and Gene Functions Associated With the Subtypes of Isocitrate Dehydrogenase-Mutation Gliomas.

Authors:  XiaoYong Pan; Tao Zeng; Fei Yuan; Yu-Hang Zhang; Lei Chen; LiuCun Zhu; SiBao Wan; Tao Huang; Yu-Dong Cai
Journal:  Front Bioeng Biotechnol       Date:  2019-11-14

4.  Prognostic Roles of Central Carbon Metabolism-Associated Genes in Patients With Low-Grade Glioma.

Authors:  Li Wang; Meng Guo; Kai Wang; Lei Zhang
Journal:  Front Genet       Date:  2019-09-18       Impact factor: 4.599

  4 in total

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