Publication: The proteomic landscape of glioblastoma recurrence reveals novel and targetable immunoregulatory drivers
The proteomic landscape of glioblastoma recurrence reveals novel and targetable immunoregulatory drivers
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Tatari, N., Khan, S., Livingstone, J., Zhai, K., et al, Weiss, T., & Weller, M. (2022). The proteomic landscape of glioblastoma recurrence reveals novel and targetable immunoregulatory drivers. Acta Neuropathologica, 144(6), 1127–1142. https://doi.org/10.1007/s00401-022-02506-4
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Glioblastoma (GBM) is characterized by extensive cellular and genetic heterogeneity. Its initial presentation as primary disease (pGBM) has been subject to exhaustive molecular and cellular profiling. By contrast, our understanding of how GBM evolves to evade the selective pressure of therapy is starkly limited. The proteomic landscape of recurrent GBM (rGBM), which is refractory to most treatments used for pGBM, are poorly known. We, therefore, quantified the transcriptome and proteome of 134 patient-derived pGBM and rGBM samples, in
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- Tatari, Nazanin
- Khan, Shahbaz
- Livingstone, Julie
- Zhai, Kui
- Weiss, Tobias
- Weller, Michael
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Tatari, N., Khan, S., Livingstone, J., Zhai, K., et al, Weiss, T., & Weller, M. (2022). The proteomic landscape of glioblastoma recurrence reveals novel and targetable immunoregulatory drivers. Acta Neuropathologica, 144(6), 1127–1142. https://doi.org/10.1007/s00401-022-02506-4