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Applying single cell multi-omic analyses to understand treatment resistance in pediatric high grade glioma
Rebecca L Murdaugh1,2,3, Jamie N Anastas1,2,3
1Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States.
Abstract:
Despite improvements in cancer patient outcomes seen in the past decade, tumor resistance to therapy remains a major impediment to achieving durable clinical responses. Intratumoral heterogeneity related to genetic, epigenetic, transcriptomic, proteomic, and metabolic differences between individual cancer cells has emerged as a driver of therapeutic resistance. This cell to cell heterogeneity can be assessed using single cell profiling technologies that enable the identification of tumor cell clones that exhibit similar defining features like specific mutations or patterns of DNA methylation. Single cell profiling of tumors before and after treatment can generate new insights into the cancer cell characteristics that confer therapeutic resistance by identifying intrinsically resistant sub-populations that survive treatment and by describing new cellular features that emerge post-treatment due to tumor cell evolution. Integrative, single cell analytical approaches have already proven advantageous in studies characterizing treatment-resistant clones in cancers where pre- and post-treatment patient samples are readily available, such as leukemia. In contrast, little is known about other cancer subtypes like pediatric high grade glioma, a class of heterogeneous, malignant brain tumors in children that rapidly develop resistance to multiple therapeutic modalities, including chemotherapy, immunotherapy, and radiation. Leveraging single cell multi-omic technologies to analyze naïve and therapy-resistant glioma may lead to the discovery of novel strategies to overcome treatment resistance in brain tumors with dismal clinical outcomes. In this review, we explore the potential for single cell multi-omic analyses to reveal mechanisms of glioma resistance to therapy and discuss opportunities to apply these approaches to improve long-term therapeutic response in pediatric high grade glioma and other brain tumors with limited treatment options.
Insights
Single cell multi-omic technologies can reveal how pediatric high grade glioma cells resist therapy. Analyzing these resistant cells may uncover new strategies to improve brain tumor treatment outcomes.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Therapeutic resistance in cancer hinders durable clinical responses despite treatment advances.
- Intratumoral heterogeneity, encompassing genetic and metabolic variations, drives this resistance.
- Single cell profiling identifies resistant tumor cell clones and their evolving features post-treatment.
Purpose of the Study:
- To explore the potential of single cell multi-omic analyses in understanding glioma therapy resistance.
- To identify novel strategies for overcoming treatment resistance in pediatric high grade glioma.
- To improve long-term therapeutic response in brain tumors with limited options.
Main Methods:
- Utilizing single cell multi-omic technologies.
- Analyzing both treatment-naïve and therapy-resistant glioma samples.
- Comparing pre- and post-treatment tumor cell characteristics.
Main Results:
- Single cell profiling can identify intrinsically resistant tumor cell populations.
- It can also reveal new cellular features that emerge after treatment.
- These approaches have shown success in cancers like leukemia.
Conclusions:
- Single cell multi-omic analyses offer insights into mechanisms of glioma resistance.
- This approach holds promise for developing new therapeutic strategies for pediatric high grade glioma.
- Further application could improve outcomes for various brain tumors with poor prognoses.
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