Bioinformatic Identification of Neuroblastoma Microenvironment-Associated Biomarkers with Prognostic Value
Joint Authors
Cao, Jing
Ma, Chao
Luo, Huan
Wang, Yi
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-10
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The microenvironment plays a vital role in the tumor recurrence of neuroblastoma.
This research aimed at exploring prognostic genes that are involved in neuroblastoma microenvironment.
We used “estimate” R package to calculate the immune/stromal/ESTIMATE scores of each sample of ArrayExpress dataset E-MTAB-8248 based on the ESTIMATE algorithm.
Then we found that immune/stromal/ESTIMATE scores were not correlated with age/chromosome 11q, but tumor stage, MYCN gene amplifications, and chromosome 1p.
Samples were then divided into high- and low-score groups, and 280 common differentially expressed genes (DEGs) were identified.
64 potential prognostic genes were harvested through overall survival analysis from the common DEGs.
14 prognostic genes (ABCA6, SEPP1, SLAMF8, GPR171, ABCA9, ARHGAP15, IL7R, HLA-DPB1, GZMA, GPR183, CCL19, ITK, FGL2, and CD1C) were obtained after screening in two independent cohorts.
GO and KEGG analysis discovered that common DEGs and 64 potential prognostic genes are mainly involved in T-cell activation, lymphocyte activation regulation, leukocyte migration, and the interaction of cytokines and cytokine receptors.
Correlation analysis showed that all prognostic genes were negatively correlated with MYCN amplification.
Cox analysis identified 5 independent prognostic genes (ARHGAP15, ABCA9, CCL19, SLAMF8, and CD1C).
American Psychological Association (APA)
Wang, Yi& Luo, Huan& Cao, Jing& Ma, Chao. 2020. Bioinformatic Identification of Neuroblastoma Microenvironment-Associated Biomarkers with Prognostic Value. Journal of Oncology،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1189006
Modern Language Association (MLA)
Wang, Yi…[et al.]. Bioinformatic Identification of Neuroblastoma Microenvironment-Associated Biomarkers with Prognostic Value. Journal of Oncology No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1189006
American Medical Association (AMA)
Wang, Yi& Luo, Huan& Cao, Jing& Ma, Chao. Bioinformatic Identification of Neuroblastoma Microenvironment-Associated Biomarkers with Prognostic Value. Journal of Oncology. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1189006
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189006