Unraveling the Complexity of the Senescence-Associated Secretory Phenotype in Adamantinomatous Craniopharyngioma Using Multi-Modal Machine Learning Analysis.

Eric W PrinceJohn R AppsJohn JeangKeanu CheeStephen MedlinEric M JacksonRoy DudleyDavid LimbrickRobert NaftelJames JohnstonNeil FeldsteinLaura M ProloKevin GinnToba NiaziAmy SmithLindsay KilburnJoshua ChernJeffrey LeonardSandi LamDavid S HershJose Mario Gonzalez-MeljemVladimir AmaniAndrew M DonsonSiddhartha S MitraPratiti BandohpadhayayJuan Pedro Martínez-BarberaTodd C Hankinson

Published in: Neuro-oncology (2024)

A complex interplay between cellular senescence, cytokine signaling, and gene expression pathways underlies ACP development. Further research is crucial to understand how these elements interact to create novel therapeutic approaches for patients with ACP.

Keyphrases

gene expression
machine learning
dna damage
endothelial cells
stress induced
dna methylation
artificial intelligence
big data
deep learning
oxidative stress