Related Experiment Video
Updated: May 10, 2026

In Vivo Inhibition of MicroRNA to Decrease Tumor Growth in Mice
Published on: August 23, 2019
Complex regulatory network of microRNAs, transcription factors, gene alterations in adrenocortical cancer
Bo Zhang1, Zhi-Wen Xu, Kun-Hao Wang
1Computer Science and Technology Department, Jilin University, Changchun, China. Zhangb999@sina.cn
Abstract:
Several lines of evidence indicate that cancer is a multistep process. To survey the mechanisms involving gene alteration and miRNAs in adrenocortical cancer, we focused on transcriptional factors as a point of penetration to build a regulatory network. We derived three level networks: differentially expressed; related; and global. A topology network ws then set up for development of adrenocortical cancer. In this network, we found that some pathways with differentially expressed elements (genetic and miRNA) showed some self-adaption relations, such as EGFR. The differentially expressed elements partially uncovered mechanistic changes for adrenocortical cancer which should guide medical researchers to further achieve pertinent research.
Insights
This study built a regulatory network to understand gene and microRNA changes in adrenocortical cancer. Key pathways like EGFR showed self-adaptation, offering insights into cancer mechanisms.
Area of Science:
- Oncology
- Genomics
- Systems Biology
Background:
- Adrenocortical cancer (ACC) is a complex disease.
- Understanding gene and microRNA alterations is crucial for ACC research.
Purpose of the Study:
- To construct a regulatory network for adrenocortical cancer.
- To investigate the roles of transcriptional factors, gene alterations, and microRNAs in ACC development.
Main Methods:
- Developed three-level networks: differentially expressed, related, and global.
- Constructed a topology network to model ACC development.
- Analyzed self-adaptation relations in pathways involving differentially expressed genetic and microRNA elements.
Main Results:
- Identified key transcriptional factors as central points in the regulatory network.
- Observed self-adaptation mechanisms in pathways, exemplified by EGFR.
- Highlighted specific differentially expressed genetic and microRNA elements contributing to ACC.
Conclusions:
- The constructed network provides a framework for understanding ACC mechanisms.
- Differentially expressed elements offer potential targets for further research.
- Findings guide future research into the mechanistic changes driving adrenocortical cancer.
Related Concept Videos
mTOR Signaling and Cancer Progression
The mTOR pathway or the...
mTOR Signaling and Cancer Progression
The mTOR pathway or the...
MicroRNAs
MicroRNAs
MicroRNAs
Master Transcription Regulators
