Related Experiment Video
Updated: Jul 21, 2025
11:29
miRNA Expression Analyses in Prostate Cancer Clinical Tissues
Published on: September 8, 2015
10.9K
LINC01088/miR-22/CDC6 Axis Regulates Prostate Cancer Progression by Activating the PI3K/AKT Pathway
Jianwei Li1, Xinghua Huang1, Haodong Chen1
1Department of Urology, Longgang District People's Hospital of Shenzhen, Guangdong 518000, China.
Mediators of Inflammation
|July 28, 2023
Summary
This study reveals the LINC01088/microRNA-22/cell division cycle 6 axis impacts prostate cancer. This axis, involving the PI3K/AKT pathway, offers potential diagnostic and therapeutic targets for prostate cancer.
Area of Science:
- Oncology
- Molecular Biology
- Gene Regulation
Background:
- Prostate cancer (PCa) is a significant threat to the male reproductive system.
- Long non-coding RNAs (lncRNAs) are implicated in PCa development.
- The LINC01088/microRNA-22/cell division cycle 6 (CDC6) axis is investigated for its role in PCa.
Purpose of the Study:
- To elucidate the role of the LINC01088/miR-22/CDC6 axis in prostate cancer progression.
- To investigate the regulatory mechanism involving the PI3K/AKT signaling pathway.
- To identify potential diagnostic and therapeutic targets for PCa.
Main Methods:
- Gene expression analysis of PCa tissues and cells using Gene Expression Omnibus and RT-qPCR.
- Validation of interactions using dual-luciferase assays.
- Assessment of cell viability, migration, and invasion using CCK-8 and Transwell assays.
- Analysis of PI3K/AKT pathway activation via Western blot.
Main Results:
- LINC01088 and CDC6 were upregulated, while miR-22 was downregulated in PCa.
- miR-22 directly targets both LINC01088 and CDC6.
- LINC01088 inhibition suppressed PCa progression by downregulating the PI3K/AKT pathway.
- CDC6 overexpression counteracted the inhibitory effects of LINC01088 knockdown.
Conclusions:
- The LINC01088/miR-22/CDC6 axis is a key regulator of PCa progression.
- This axis influences PCa development through the PI3K/AKT signaling pathway.
- The identified axis presents a promising target for PCa diagnosis and therapy.
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