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Native Chromatin Immunoprecipitation Using Murine Brain Tumor Neurospheres
Published on: January 29, 2018
Chromatin insulation dynamics in glioblastoma: challenges and future perspectives of precision oncology
Borja Sesé1, Miquel Ensenyat-Mendez2, Sandra Iñiguez2
1Cancer Epigenetics Laboratory At the Cancer Cell Biology Group, Institut D'Investigació Sanitària Illes Balears (IdISBa), Carretera de Valldemosa 79, S Building, 1st Floor, 07120, Palma de Mallorca, Spain. borja.sese@ssib.es.
Abstract:
Glioblastoma (GBM) is the most aggressive primary brain tumor, having a poor prognosis and a median overall survival of less than two years. Over the last decade, numerous findings regarding the distinct molecular and genetic profiles of GBM have led to the emergence of several therapeutic approaches. Unfortunately, none of them has proven to be effective against GBM progression and recurrence. Epigenetic mechanisms underlying GBM tumor biology, including histone modifications, DNA methylation, and chromatin architecture, have become an attractive target for novel drug discovery strategies. Alterations on chromatin insulator elements (IEs) might lead to aberrant chromatin remodeling via DNA loop formation, causing oncogene reactivation in several types of cancer, including GBM. Importantly, it is shown that mutations affecting the isocitrate dehydrogenase (IDH) 1 and 2 genes, one of the most frequent genetic alterations in gliomas, lead to genome-wide DNA hypermethylation and the consequent IE dysfunction. The relevance of IEs has also been observed in a small population of cancer stem cells known as glioma stem cells (GSCs), which are thought to participate in GBM tumor initiation and drug resistance. Recent studies revealed that epigenomic alterations, specifically chromatin insulation and DNA loop formation, play a crucial role in establishing and maintaining the GSC transcriptional program. This review focuses on the relevance of IEs in GBM biology and their implementation as a potential theranostic target to stratify GBM patients and develop novel therapeutic approaches. We will also discuss the state-of-the-art emerging technologies using big data analysis and how they will settle the bases on future diagnosis and treatment strategies in GBM patients.
Insights
Investigating chromatin insulator elements (IEs) in glioblastoma (GBM) reveals their role in tumor progression and drug resistance. Targeting IEs offers a promising theranostic strategy for this aggressive brain cancer.
Area of Science:
- Neuro-oncology
- Epigenetics
- Cancer Biology
Background:
- Glioblastoma (GBM) is an aggressive brain tumor with poor prognosis and limited treatment options.
- Epigenetic mechanisms, including DNA methylation and chromatin remodeling, are crucial in GBM.
- Alterations in chromatin insulator elements (IEs) can lead to oncogene reactivation and contribute to GBM progression.
Purpose of the Study:
- To review the role of insulator elements (IEs) in glioblastoma (GBM) biology.
- To explore IEs as potential theranostic targets for GBM patient stratification and novel therapeutic development.
- To discuss emerging big data technologies for future GBM diagnosis and treatment.
Main Methods:
- Literature review focusing on epigenetic mechanisms in GBM.
- Analysis of the role of insulator elements (IEs) and DNA loop formation in GBM and glioma stem cells (GSCs).
- Discussion of the impact of IDH mutations on DNA methylation and IE function.
Main Results:
- Insulator element (IE) dysfunction, driven by DNA hypermethylation (especially in IDH-mutant gliomas), contributes to aberrant chromatin remodeling and oncogene reactivation in GBM.
- IEs are critical for maintaining the transcriptional programs of glioma stem cells (GSCs), which are implicated in GBM initiation and drug resistance.
- Epigenomic alterations, including chromatin insulation and DNA looping, are key to GSC function.
Conclusions:
- Insulator elements (IEs) are significant players in glioblastoma (GBM) pathogenesis and therapeutic resistance.
- Targeting IEs presents a novel theranostic approach for stratifying GBM patients and developing innovative treatments.
- Advanced big data analytics will be pivotal in shaping future diagnostic and therapeutic strategies for GBM.
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