Uncovering Spatiotemporal Heterogeneity of High-Grade Gliomas: From Disease Biology to Therapeutic Implications

Uncovering Spatiotemporal Heterogeneity of High-Grade Gliomas: From Disease Biology to Therapeutic Implications

Glioblastomas (GBM) are the most common and aggressive tumors of the central nervous system. Rapid tumor growth and diffuse infiltration into healthy brain tissue, along with high intratumoral heterogeneity, challenge therapeutic efficacy and prognosis. A better understanding of spatiotemporal tumor...

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Bibliographic Details
Main Authors: Andrea Comba, Syed M. Faisal, Maria Luisa Varela, Todd Hollon, Wajd N. Al-Holou, Yoshie Umemura, Felipe J. Nunez, Sebastien Motsch, Maria G. Castro, Pedro R. Lowenstein
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Oncology
Subjects:
glioblastoma multiforme
heterogeneity
tumor microenvironment
dynamic
spatial resolution
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.703764/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.703764/full

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