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Uncovering Spatiotemporal Heterogeneity of High-Grade Gliomas: From Disease Biology to Therapeutic Implications.
Comba, Andrea; Faisal, Syed M; Varela, Maria Luisa; Hollon, Todd; Al-Holou, Wajd N; Umemura, Yoshie; Nunez, Felipe J; Motsch, Sebastien; Castro, Maria G; Lowenstein, Pedro R.
Afiliación
  • Comba A; Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States.
  • Faisal SM; Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States.
  • Varela ML; Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States.
  • Hollon T; Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States.
  • Al-Holou WN; Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States.
  • Umemura Y; Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States.
  • Nunez FJ; Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States.
  • Motsch S; Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, United States.
  • Castro MG; Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, MI, United States.
  • Lowenstein PR; Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, United States.
Front Oncol ; 11: 703764, 2021.
Article en En | MEDLINE | ID: mdl-34422657
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 heterogeneity at the histological, cellular, molecular, and dynamic levels would accelerate the development of novel treatments for this devastating brain cancer. Histologically, GBM is characterized by nuclear atypia, cellular pleomorphism, necrosis, microvascular proliferation, and pseudopalisades. At the cellular level, the glioma microenvironment comprises a heterogeneous landscape of cell populations, including tumor cells, non-transformed/reactive glial and neural cells, immune cells, mesenchymal cells, and stem cells, which support tumor growth and invasion through complex network crosstalk. Genomic and transcriptomic analyses of gliomas have revealed significant inter and intratumoral heterogeneity and insights into their molecular pathogenesis. Moreover, recent evidence suggests that diverse dynamics of collective motion patterns exist in glioma tumors, which correlate with histological features. We hypothesize that glioma heterogeneity is not stochastic, but rather arises from organized and dynamic attributes, which favor glioma malignancy and influences treatment regimens. This review highlights the importance of an integrative approach of glioma histopathological features, single-cell and spatially resolved transcriptomic and cellular dynamics to understand tumor heterogeneity and maximize therapeutic effects.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Oncol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Oncol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza