Unraveling the complexity of the senescence-associated secretory phenotype in adamantinomatous craniopharyngioma using multimodal machine learning analysis.

doi:10.1093/neuonc/noae015

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Article

Unraveling the complexity of the senescence-associated secretory phenotype in adamantinomatous craniopharyngioma using multimodal machine learning analysis.

Neuro-oncology - 3 Jun 2024

Prince Eric W, Apps John R, Jeang John, Chee Keanu, Medlin Stephen, Jackson Eric M, Dudley Roy, Limbrick David, Naftel Robert, Johnston James, Feldstein Neil, Prolo Laura M, Ginn Kevin, Niazi Toba, Smith Amy, Kilburn Lindsay, Chern Joshua, Leonard Jeffrey, Lam Sandi, Hersh David S, Gonzalez-Meljem Jose Mario, Amani Vladimir, Donson Andrew M, Mitra Siddhartha S, Bandopadhayay Pratiti, Martinez-Barbera Juan Pedro, Hankinson Todd C

Abstract excerpt

BACKGROUND: Cellular senescence can have positive and negative effects on the body, including aiding in damage repair and facilitating tumor growth. Adamantinomatous craniopharyngioma (ACP), the most common pediatric sellar/suprasellar brain tumor, poses significant treatment challenges. Recent studies suggest that senescent cells in ACP tumors may contribute to tumor growth and invasion by releasing a...

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PMID: 38334125
DOI: 10.1093/neuonc/noae015
PMCID: PMC11145462

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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