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Xenograft-based, platform-independent gene signatures to predict response to alkylating chemotherapy, radiation, and combination therapy for glioblastoma
BACKGROUND: Predictive molecular biomarkers to select optimal treatment for patients with glioblastoma and other cancers are lacking. New strategies are needed when large randomized trials with correlative molecular data are not feasible. METHODS: Gene signatures (GS) were developed from 31 orthotop...
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| Pubblicato in: | Neuro Oncol |
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| Autori principali: | , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6736132/ https://ncbi.nlm.nih.gov/pubmed/31121035 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noz090 |
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