Towards a personalized perspective on gliomas: an epigenetic-immuno-inflammatory aging framework

Olga Vershinina1,2, Victoria Turubanova3,4, Claudio Franceschi2

  • 1Research Center in Artificial Intelligence, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod, Russia.

Summary

High-grade gliomas share molecular mechanisms with aging. Genes predicting glioma prognosis are also linked to aging, with similar expression changes during both processes, suggesting shared pathways.

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