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Prediction of Response to Temozolomide in Low‐Grade Glioma Patients Based on Tumor Size Dynamics and Genetic Characteristics
Both molecular profiling of tumors and longitudinal tumor size data modeling are relevant strategies to predict cancer patients' response to treatment. Herein we propose a model of tumor growth inhibition integrating a tumor's genetic characteristics (p53 mutation and 1p/19q codeletion) th...
Autores principales: | Mazzocco, P, Barthélémy, C, Kaloshi, G, Lavielle, M, Ricard, D, Idbaih, A, Psimaras, D, Renard, M‐A, Alentorn, A, Honnorat, J, Delattre, J‐Y, Ducray, F, Ribba, B |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759703/ https://www.ncbi.nlm.nih.gov/pubmed/26904387 http://dx.doi.org/10.1002/psp4.54 |
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