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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Original Articles
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

Internet

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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