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Published on: October 4, 2019
Gene module based regulator inference identifying miR-139 as a tumor suppressor in colorectal cancer
Jin Gu1, Yang Chen, Huiya Huang
1MOE Key Laboratory of Bioinformatics, TNLIST Bioinformatics Division & Center for Synthetic and Systems Biology, Department of Automation, Tsinghua University, Beijing 100084, China. jgu@tsinghua.edu.cn michaelzhang@tsinghua.edu.cn.
Abstract:
Colorectal cancer is one of the most commonly diagnosed cancer types worldwide. Identification of the key regulators of the altered biological networks is crucial for understanding the complex molecular mechanisms of colorectal cancer. We proposed a gene module based approach to infer key miRNAs regulating the major gene network alterations in cancer tissues. By integrating gene differential expression and co-expression information with a protein-protein interaction network, the differential gene expression modules, which captured the major gene network changes, were identified for colorectal cancer. Then, several key miRNAs, which extensively regulate the gene modules, were inferred by analyzing their target gene enrichment in the modules. Among the inferred candidates, three miRNAs, miR-101, miR-124 and miR-139, are frequently down-regulated in colorectal cancers. The following computational and experimental analyses demonstrate that miR-139 can inhibit cell proliferation and cell cycle G1/S transition. A known oncogene ETS1, a key transcription factor in the gene module, was experimentally verified as a novel target of miR-139. miR-139 was found to be significantly down-regulated in early pathological cancer stages and its expression remained at very low levels in advanced stages. These results indicate that miR-139, inferred by the gene module based approach, should be a key tumor suppressor in early cancer development.
Insights
This study identifies key microRNAs (miRNAs) regulating colorectal cancer networks. miR-139 acts as a tumor suppressor by inhibiting cell proliferation and targeting the oncogene ETS1, especially in early cancer stages.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Colorectal cancer (CRC) is a prevalent global malignancy.
- Understanding CRC's molecular mechanisms requires identifying key regulatory factors.
- Altered biological networks are central to cancer development.
Purpose of the Study:
- To infer key microRNAs (miRNAs) that regulate major gene network alterations in colorectal cancer tissues.
- To identify novel therapeutic targets for colorectal cancer treatment.
Main Methods:
- Integrated gene differential expression and co-expression data with protein-protein interaction networks.
- Identified differential gene expression modules capturing major network changes in CRC.
- Inferred key miRNAs by analyzing target gene enrichment within these modules.
Main Results:
- Identified three candidate miRNAs (miR-101, miR-124, miR-139) frequently downregulated in CRC.
- Demonstrated miR-139 inhibits cell proliferation and cell cycle progression.
- Verified ETS1, a known oncogene, as a novel target of miR-139.
- Observed miR-139 downregulation in early CRC stages, persisting in advanced stages.
Conclusions:
- The gene module-based approach effectively infers key regulatory miRNAs in cancer.
- miR-139 functions as a crucial tumor suppressor in early colorectal cancer development.
- miR-139 represents a potential biomarker and therapeutic target for CRC.
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