Machine learning-driven SLC prognostic signature for glioma: predicting survival and immunotherapy response

Machine learning-driven SLC prognostic signature for glioma: predicting survival and immunotherapy response

IntroductionGliomas are the most common and aggressive primary brain tumors, characterized by significant heterogeneity and poor prognosis. Despite advancements in treatment, therapeutic resistance and tumor recurrence remain major challenges. Identifying novel molecular biomarkers is essential for...

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Bibliographic Details
Main Authors: Jianghua Lin, Xiao Yang, Kaijun Zhao, Yu’e Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Pharmacology
Subjects:
glioma
SLC family
machine learning
immunotherapy
prognostic biomarker
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2025.1585639/full
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