Integrated Analysis of Oncogenic Networks in Colorectal Cancer Identifies GUCA2A as a Molecular Marker
Joint Authors
Feng, Jifeng
Zhang, Hui
Du, Yuanyuan
Wang, Zhuo
Lou, Rui
Wu, Jianzhong
Source
Biochemistry Research International
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-28
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Colorectal cancer (CRC) is one of the most common and deadly malignancies in the world.
In China, the morbidity rate of CRC has increased during the period 2000 to 2011.
Biomarker detection for early CRC diagnosis can effectively reduce the mortality of patients with CRC.
To explore the underlying mechanisms of effective biomarkers and identify more of them, we performed weighted correlation network analysis (WGCNA) on a GSE68468 dataset generated from 378 CRC tissue samples.
We screened the gene set (module), which was significantly associated with CRC histology, and analyzed the hub genes.
The key genes were identified by obtaining six colorectal raw data (i.e., GSE25070, GSE44076, GSE44861, GSE21510, GSE9348, and GSE21815) from the GEO database (https://www.ncbi.nlm.nih.gov/geo).
The robust differentially expressed genes (DEGs) in all six datasets were calculated and obtained using the library “RobustRankAggreg” package in R 3.5.1.
An integrated analysis of CRC based on the top 50 downregulated DEGs and hub genes in the red module from WGCNA was conducted, and the intersecting genes were screened.
The Kaplan–Meier plot was further analyzed, and the genes associated with CRC prognosis based on patients from the TCGA database were determined.
Finally, we validated the candidate gene in our clinical CRC specimens.
We postulated that the candidate genes screened from the database and verified by our clinical pathological data may contribute to understanding the molecular mechanisms of tumorigenesis and may serve as potential biomarkers for CRC diagnosis and treatment.
American Psychological Association (APA)
Zhang, Hui& Du, Yuanyuan& Wang, Zhuo& Lou, Rui& Wu, Jianzhong& Feng, Jifeng. 2019. Integrated Analysis of Oncogenic Networks in Colorectal Cancer Identifies GUCA2A as a Molecular Marker. Biochemistry Research International،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1129071
Modern Language Association (MLA)
Zhang, Hui…[et al.]. Integrated Analysis of Oncogenic Networks in Colorectal Cancer Identifies GUCA2A as a Molecular Marker. Biochemistry Research International No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1129071
American Medical Association (AMA)
Zhang, Hui& Du, Yuanyuan& Wang, Zhuo& Lou, Rui& Wu, Jianzhong& Feng, Jifeng. Integrated Analysis of Oncogenic Networks in Colorectal Cancer Identifies GUCA2A as a Molecular Marker. Biochemistry Research International. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1129071
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129071