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Multifaceted interactions between cancer cells and glial cells in brain metastasis.
Ishibashi, Kojiro; Hirata, Eishu.
Afiliación
  • Ishibashi K; Division of Tumor Cell Biology and Bioimaging, Cancer Research Institute of Kanazawa University, Kanazawa, Ishikawa, Japan.
  • Hirata E; Division of Tumor Cell Biology and Bioimaging, Cancer Research Institute of Kanazawa University, Kanazawa, Ishikawa, Japan.
Cancer Sci ; 2024 Jul 11.
Article en En | MEDLINE | ID: mdl-38992968
ABSTRACT
Cancer brain metastasis has a poor prognosis, is commonly observed in clinical practice, and the number of cases is increasing as overall cancer survival improves. However, experiments in mouse models have shown that brain metastasis itself is an inefficient process. One reason for this inefficiency is the brain microenvironment, which differs significantly from that of other organs, making it difficult for cancer cells to adapt. The brain microenvironment consists of unique resident cell types such as neurons, oligodendrocytes, astrocytes, and microglia. Accumulating evidence over the past decades suggests that the interactions between cancer cells and glial cells can positively or negatively influence the development of brain metastasis. Nevertheless, elucidating the complex interactions between cancer cells and glial cells remains challenging, in part due to the limitations of existing experimental models for glial cell culture. In this review, we first provide an overview of glial cell culture methods and then examine recent discoveries regarding the interactions between brain metastatic cancer cells and the surrounding glial cells, with a special focus on astrocytes and microglia. Finally, we discuss future perspectives for understanding the multifaceted interactions between cancer cells and glial cells for the treatment of metastatic brain tumors.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Cancer Sci Año: 2024 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Cancer Sci Año: 2024 Tipo del documento: Article País de afiliación: Japón