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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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Dettagli Bibliografici
Pubblicato in:Neuro Oncol
Autori principali: Zhao, Shuang G, Yu, Menggang, Spratt, Daniel E, Chang, S Laura, Feng, Felix Y, Kim, Michelle M, Speers, Corey W, Carlson, Brett L, Mladek, Ann C, Lawrence, Theodore S, Sarkaria, Jann N, Wahl, Daniel R
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2019
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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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