Login / Signup

Unraveling the complexity of the senescence-associated secretory phenotype in adamantinomatous craniopharyngioma using multimodal 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 BandopadhayayJuan 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
  • dna methylation
  • stress induced
  • pain management
  • big data
  • oxidative stress
  • deep learning