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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
Temozolomide-Induced RNA Interactome Uncovers Novel LncRNA Regulatory Loops in Glioblastoma
Sabrina Fritah1, Arnaud Muller2, Wei Jiang3
1NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, Luxembourg L-1526, Luxembourg.
Abstract:
Resistance to chemotherapy by temozolomide (TMZ) is a major cause of glioblastoma (GBM) recurrence. So far, attempts to characterize factors that contribute to TMZ sensitivity have largely focused on protein-coding genes, and failed to provide effective therapeutic targets. Long noncoding RNAs (lncRNAs) are essential regulators of epigenetic-driven cell diversification, yet, their contribution to the transcriptional response to drugs is less understood. Here, we performed RNA-seq and small RNA-seq to provide a comprehensive map of transcriptome regulation upon TMZ in patient-derived GBM stem-like cells displaying different drug sensitivity. In a search for regulatory mechanisms, we integrated thousands of molecular associations stored in public databases to generate a background "RNA interactome". Our systems-level analysis uncovered a coordinated program of TMZ response reflected by regulatory circuits that involve transcription factors, mRNAs, miRNAs, and lncRNAs. We discovered 22 lncRNAs involved in regulatory loops and/or with functional relevance in drug response and prognostic value in gliomas. Thus, the investigation of TMZ-induced gene networks highlights novel RNA-based predictors of chemosensitivity in GBM. The computational modeling used to identify regulatory circuits underlying drug response and prioritizing gene candidates for functional validation is applicable to other datasets.
Insights
Drug resistance in glioblastoma (GBM) is a major challenge. This study identifies long noncoding RNAs (lncRNAs) as key regulators of temozolomide (TMZ) response, offering novel RNA-based predictors for GBM chemosensitivity.
Area of Science:
- Genomics
- Molecular Biology
- Cancer Research
Background:
- Temozolomide (TMZ) resistance is a primary driver of glioblastoma (GBM) recurrence.
- Previous research focused on protein-coding genes, yielding limited therapeutic targets for TMZ resistance.
- The role of long noncoding RNAs (lncRNAs) in drug response remains underexplored.
Purpose of the Study:
- To comprehensively map transcriptome regulation in response to TMZ in patient-derived GBM stem-like cells.
- To identify novel RNA-based regulatory mechanisms contributing to TMZ sensitivity and resistance.
- To discover potential RNA-based predictors for GBM chemosensitivity.
Main Methods:
- RNA sequencing (RNA-seq) and small RNA sequencing (small RNA-seq) were performed on GBM stem-like cells with varying drug sensitivities.
- Integration of public molecular association databases to construct an "RNA interactome".
- Systems-level analysis and computational modeling to identify regulatory circuits involving lncRNAs, transcription factors, mRNAs, and miRNAs.
Main Results:
- A coordinated transcriptional program regulating the response to TMZ was uncovered.
- 22 lncRNAs were identified as being involved in regulatory loops and associated with drug response and glioma prognosis.
- Novel RNA-based predictors of chemosensitivity in GBM were highlighted.
Conclusions:
- lncRNAs play a significant role in the complex regulatory networks governing TMZ response in GBM.
- The identified lncRNAs and regulatory circuits offer potential biomarkers for predicting GBM chemosensitivity.
- The computational approach is adaptable for analyzing drug response in other cancer datasets.
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