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Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer
Published on: March 14, 2019
Identification of Key Genes in Colorectal Cancer Regulated by miR-34a
Tao Wang1, Haihe Xu2, Xianglong Liu1
1Department of Anorectal Surgery, Tianjin Union Medical Center Nankai University Affiliated Hospital, Tianjin, China (mainland).
Abstract:
BACKGROUND The aim of this study was to screen the molecular targets of miR-34a in colorectal cancer (CRC) and construct the regulatory network, to gain more insights to the pathogenesis of CRC. MATERIAL AND METHODS The microarray data of CRC samples and normal samples (GSE4988), as well as CRC samples transformed with miR-34a and non-transfected CRC samples (GSE7754), were downloaded from the Gene Expression Omnibus (GEO) database. The differently expressed genes (DEGs) were identified via the LIMMA package in R language. The Database for Annotation, Visualization and Integrated Discovery (DAVID) was used to identify significant Gene Ontology (GO) terms and pathways in DEGs. The targets of miR-34a were obtained via the miRWalk database, and then the overlaps between them were selected out to construct the regulatory network of miR-34a in CRC using the Cytoscape software. RESULTS A total of 392 DEGs were identified in CRC samples compared with normal samples, including 239 upregulated genes and 153 downregulated ones. These DEGs were enriched in 75 GO terms and one Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. At the same time, 332 DEGs (188 upregulated and 144 downregulated) were screened out between miR-34a transformed CRC and miR-34a non-transfected CRC samples and they were enriched in 20 GO terms and eight KEGG pathways. Six overlapped genes were identified in two DEGs groups. There were 1,668 targets of miR-34a obtained via the miRWalk database, among which 21 were identified differently expressed in miR-34a transformed CRC samples compared with miR-34a non-transfected CRC samples. Two regulatory networks of miR-34a in CRC within these two groups of overlapped genes were constructed respectively. CONCLUSIONS Pathways related to cell cycle, DNA replication, oocyte meiosis, and pyrimidine metabolism might play critical roles in the progression of CRC. Several genes such as SERPINE1, KLF4, SEMA4B, PPARG, CDC45, and KIAA0101 might be the targets of miR-34a and the potential therapeutic targets of CRC.
Insights
This study identifies molecular targets of miR-34a in colorectal cancer (CRC) and constructs regulatory networks. Key pathways and genes like SERPINE1 and KLF4 are highlighted as potential therapeutic targets for CRC.
Area of Science:
- Molecular biology
- Genomics
- Cancer research
Background:
- MicroRNA-34a (miR-34a) plays a role in cancer development.
- Understanding miR-34a's molecular targets is crucial for colorectal cancer (CRC) pathogenesis insights.
Purpose of the Study:
- To screen molecular targets of miR-34a in colorectal cancer (CRC).
- To construct the regulatory network of miR-34a in CRC.
- To identify potential therapeutic targets for CRC.
Main Methods:
- Downloaded and analyzed microarray data from the Gene Expression Omnibus (GEO) database (GSE4988, GSE7754).
- Identified differentially expressed genes (DEGs) using the LIMMA package.
- Utilized DAVID for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis.
- Obtained miR-34a targets from miRWalk database and constructed regulatory networks using Cytoscape.
Main Results:
- Identified 392 DEGs in CRC vs. normal samples and 332 DEGs between miR-34a transfected and non-transfected CRC samples.
- Enriched DEGs in multiple GO terms and KEGG pathways, including cell cycle and DNA replication.
- Constructed two regulatory networks of miR-34a in CRC, identifying six overlapped genes and 21 differentially expressed miR-34a targets.
Conclusions:
- Cell cycle, DNA replication, oocyte meiosis, and pyrimidine metabolism pathways are critical in CRC progression.
- SERPINE1, KLF4, SEMA4B, PPARG, CDC45, and KIAA0101 are potential miR-34a targets and therapeutic targets for CRC.
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