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.

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.