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Dissecting Intra-tumor Heterogeneity in the Glioblastoma Microenvironment Using Fluorescence-Guided Multiple Sampling

The treatment of the most aggressive primary brain tumor in adults, glioblastoma (GBM), is challenging due to its heterogeneous nature, invasive potential, and poor response to chemo- and radiotherapy. As a result, GBM inevitably recurs and only a few patients survive 5 years post-diagnosis. GBM is...

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Autores principales: García-Montaño, Leopoldo A., Licón-Muñoz, Yamhilette, Martinez, Frank J., Keddari, Yasine R., Ziemke, Michael K., Chohan, Muhammad O., Piccirillo, Sara G.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390891/
http://dx.doi.org/10.1158/1541-7786.MCR-23-0048
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author García-Montaño, Leopoldo A.
Licón-Muñoz, Yamhilette
Martinez, Frank J.
Keddari, Yasine R.
Ziemke, Michael K.
Chohan, Muhammad O.
Piccirillo, Sara G.M.
author_facet García-Montaño, Leopoldo A.
Licón-Muñoz, Yamhilette
Martinez, Frank J.
Keddari, Yasine R.
Ziemke, Michael K.
Chohan, Muhammad O.
Piccirillo, Sara G.M.
author_sort García-Montaño, Leopoldo A.
collection PubMed
description The treatment of the most aggressive primary brain tumor in adults, glioblastoma (GBM), is challenging due to its heterogeneous nature, invasive potential, and poor response to chemo- and radiotherapy. As a result, GBM inevitably recurs and only a few patients survive 5 years post-diagnosis. GBM is characterized by extensive phenotypic and genetic heterogeneity, creating a diversified genetic landscape and a network of biological interactions between subclones, ultimately promoting tumor growth and therapeutic resistance. This includes spatial and temporal changes in the tumor microenvironment, which influence cellular and molecular programs in GBM and therapeutic responses. However, dissecting phenotypic and genetic heterogeneity at spatial and temporal levels is extremely challenging, and the dynamics of the GBM microenvironment cannot be captured by analysis of a single tumor sample. In this review, we discuss the current research on GBM heterogeneity, in particular, the utility and potential applications of fluorescence-guided multiple sampling to dissect phenotypic and genetic intra-tumor heterogeneity in the GBM microenvironment, identify tumor and non-tumor cell interactions and novel therapeutic targets in areas that are key for tumor growth and recurrence, and improve the molecular classification of GBM.
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spelling pubmed-103908912023-08-02 Dissecting Intra-tumor Heterogeneity in the Glioblastoma Microenvironment Using Fluorescence-Guided Multiple Sampling García-Montaño, Leopoldo A. Licón-Muñoz, Yamhilette Martinez, Frank J. Keddari, Yasine R. Ziemke, Michael K. Chohan, Muhammad O. Piccirillo, Sara G.M. Mol Cancer Res Review The treatment of the most aggressive primary brain tumor in adults, glioblastoma (GBM), is challenging due to its heterogeneous nature, invasive potential, and poor response to chemo- and radiotherapy. As a result, GBM inevitably recurs and only a few patients survive 5 years post-diagnosis. GBM is characterized by extensive phenotypic and genetic heterogeneity, creating a diversified genetic landscape and a network of biological interactions between subclones, ultimately promoting tumor growth and therapeutic resistance. This includes spatial and temporal changes in the tumor microenvironment, which influence cellular and molecular programs in GBM and therapeutic responses. However, dissecting phenotypic and genetic heterogeneity at spatial and temporal levels is extremely challenging, and the dynamics of the GBM microenvironment cannot be captured by analysis of a single tumor sample. In this review, we discuss the current research on GBM heterogeneity, in particular, the utility and potential applications of fluorescence-guided multiple sampling to dissect phenotypic and genetic intra-tumor heterogeneity in the GBM microenvironment, identify tumor and non-tumor cell interactions and novel therapeutic targets in areas that are key for tumor growth and recurrence, and improve the molecular classification of GBM. American Association for Cancer Research 2023-08-01 2023-05-09 /pmc/articles/PMC10390891/ http://dx.doi.org/10.1158/1541-7786.MCR-23-0048 Text en ©2023 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
spellingShingle Review
García-Montaño, Leopoldo A.
Licón-Muñoz, Yamhilette
Martinez, Frank J.
Keddari, Yasine R.
Ziemke, Michael K.
Chohan, Muhammad O.
Piccirillo, Sara G.M.
Dissecting Intra-tumor Heterogeneity in the Glioblastoma Microenvironment Using Fluorescence-Guided Multiple Sampling
title Dissecting Intra-tumor Heterogeneity in the Glioblastoma Microenvironment Using Fluorescence-Guided Multiple Sampling
title_full Dissecting Intra-tumor Heterogeneity in the Glioblastoma Microenvironment Using Fluorescence-Guided Multiple Sampling
title_fullStr Dissecting Intra-tumor Heterogeneity in the Glioblastoma Microenvironment Using Fluorescence-Guided Multiple Sampling
title_full_unstemmed Dissecting Intra-tumor Heterogeneity in the Glioblastoma Microenvironment Using Fluorescence-Guided Multiple Sampling
title_short Dissecting Intra-tumor Heterogeneity in the Glioblastoma Microenvironment Using Fluorescence-Guided Multiple Sampling
title_sort dissecting intra-tumor heterogeneity in the glioblastoma microenvironment using fluorescence-guided multiple sampling
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390891/
http://dx.doi.org/10.1158/1541-7786.MCR-23-0048
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