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PIK3CA variants selectively initiate brain hyperactivity during gliomagenesis. | LitMetric

AI Article Synopsis

  • Glioblastoma is a highly aggressive brain cancer that is influenced by its interactions with the surrounding neurons, leading to increased tumor growth and activity.
  • Recent research using a mouse model has identified various PIK3CA gene variants that affect tumor characteristics and contribute to brain hyperexcitability, reshaping synaptic connections.
  • The study also highlights the role of the glypican family, specifically GPC3, in promoting tumor development and enhancing neuronal activity, emphasizing the need to explore different tumor phenotypes to understand their impact on the neuronal environment.

Article Abstract

Glioblastoma is a universally lethal form of brain cancer that exhibits an array of pathophysiological phenotypes, many of which are mediated by interactions with the neuronal microenvironment. Recent studies have shown that increases in neuronal activity have an important role in the proliferation and progression of glioblastoma. Whether there is reciprocal crosstalk between glioblastoma and neurons remains poorly defined, as the mechanisms that underlie how these tumours remodel the neuronal milieu towards increased activity are unknown. Here, using a native mouse model of glioblastoma, we develop a high-throughput in vivo screening platform and discover several driver variants of PIK3CA. We show that tumours driven by these variants have divergent molecular properties that manifest in selective initiation of brain hyperexcitability and remodelling of the synaptic constituency. Furthermore, secreted members of the glypican (GPC) family are selectively expressed in these tumours, and GPC3 drives gliomagenesis and hyperexcitability. Together, our studies illustrate the importance of functionally interrogating diverse tumour phenotypes driven by individual, yet related, variants and reveal how glioblastoma alters the neuronal microenvironment.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577741PMC
http://dx.doi.org/10.1038/s41586-020-1952-2DOI Listing

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