Identification of FOS as a Candidate Risk Gene for Liver Cancer by Integrated Bioinformatic Analysis
Joint Authors
Zhou, Jian
Fu, Peiyao
Hu, Jin-Wu
Ding, Guang-Yu
Tang, Wei-Guo
Sun, Qi-Man
Zhu, Xiao-Dong
Shen, Ying-Hao
Fan, Jia
Sun, Hui-Chuan
Huang, Cheng
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-23
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Liver cancer is a lethal disease that is associated with poor prognosis.
In order to identify the functionally important genes associated with liver cancer that may reveal novel therapeutic avenues, we performed integrated analysis to profile miRNA and mRNA expression levels for liver tumors compared to normal samples in The Cancer Genome Atlas (TCGA) database.
We identified 405 differentially expressed genes and 233 differentially expressed miRNAs in tumor samples compared with controls.
In addition, we also performed the pathway analysis and found that mitogen-activated protein kinases (MAPKs) and G-protein coupled receptor (GPCR) pathway were two of the top significant pathway nodes dysregulated in liver cancer.
Furthermore, by examining these signaling networks, we discovered that FOS (Fos proto-oncogene, AP-1 transcription factor subunit), LAMC2 (laminin subunit gamma 2), and CALML3 (calmodulin like 3) were the most significant gene nodes with high degrees involved in liver cancer.
The expression and disease prediction accuracy of FOS, LAMC2, CALML3, and their interacting miRNAs were further performed using a HCC cohort.
Finally, we investigated the prognostic significance of FOS in another HCC cohort.
Patients with higher FOS expression displayed significantly shorter time to recurrence (TTR) and overall survival (OS) compared with patients with lower expression.
Collectively, our study demonstrates that FOS is a potential prognostic marker for liver cancer that may reveal a novel therapeutic avenue in this lethal disease.
American Psychological Association (APA)
Hu, Jin-Wu& Ding, Guang-Yu& Fu, Peiyao& Tang, Wei-Guo& Sun, Qi-Man& Zhu, Xiao-Dong…[et al.]. 2020. Identification of FOS as a Candidate Risk Gene for Liver Cancer by Integrated Bioinformatic Analysis. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1136199
Modern Language Association (MLA)
Hu, Jin-Wu…[et al.]. Identification of FOS as a Candidate Risk Gene for Liver Cancer by Integrated Bioinformatic Analysis. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1136199
American Medical Association (AMA)
Hu, Jin-Wu& Ding, Guang-Yu& Fu, Peiyao& Tang, Wei-Guo& Sun, Qi-Man& Zhu, Xiao-Dong…[et al.]. Identification of FOS as a Candidate Risk Gene for Liver Cancer by Integrated Bioinformatic Analysis. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1136199
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136199