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Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
Published on: October 4, 2019
Differential lncRNA expression profiles in recurrent gliomas compared with primary gliomas identified by microarray
Yi Chen1, Jian-Jin Wu2, Xian-Bin Lin1
1Department of Neurosurgery, Changzheng Hospital, Affiliated to Second Military Medical University Shanghai, China.
This study identified numerous differentially expressed long non-coding RNAs (lncRNAs) in recurrent gliomas. These lncRNAs may play crucial roles in glioma recurrence, offering potential therapeutic targets.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Glioma, particularly high-grade glioma, is aggressive with frequent recurrence and poor patient outcomes.
- The molecular mechanisms driving glioma progression and recurrence are not fully understood.
- Long non-coding RNAs (lncRNAs) are implicated in glioma development, but their role in recurrence remains unclear.
Purpose of the Study:
- To identify differentially expressed long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs) in recurrent gliomas compared to primary gliomas.
- To explore the potential functions and regulatory roles of these differentially expressed lncRNAs in glioma recurrence.
Main Methods:
- High-throughput microarray analysis was employed to screen for differentially expressed lncRNAs and mRNAs.
- Gene Ontology (GO) and pathway analyses were performed to understand the functional implications of the identified lncRNAs.
- LncRNA classification and subgroup analysis were conducted to identify potential gene regulatory networks.
Main Results:
- A total of 1,111 lncRNAs were found to be differentially expressed in recurrent gliomas (639 up-regulated, 472 down-regulated).
- Functional analyses indicated that these lncRNAs are associated with cancer progression and pathogenesis.
- Three key clusters of differentially expressed lncRNA-mRNA pairs with potential gene regulatory functions were identified.
Conclusions:
- This study provides the first comprehensive identification of abundant differentially expressed lncRNAs in recurrent gliomas.
- Specific lncRNAs, including known ones like H19 and novel ones like AC016745.3, may be critical drivers of glioma recurrence.
- These findings lay the groundwork for future research into the genetic mechanisms of glioma recurrence and the development of novel therapeutic strategies.
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