Cargando…
A mathematical modelling tool for predicting survival of individual patients following resection of glioblastoma: a proof of principle
The prediction of the outcome of individual patients with glioblastoma would be of great significance for monitoring responses to therapy. We hypothesise that, although a large number of genetic-metabolic abnormalities occur upstream, there are two ‘final common pathways’ dominating glioblastoma gro...
Autores principales: | Swanson, K R, Rostomily, R C, Alvord, E C |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2359692/ https://www.ncbi.nlm.nih.gov/pubmed/18059395 http://dx.doi.org/10.1038/sj.bjc.6604125 |
Ejemplares similares
-
LLL-3 inhibits STAT3 activity, suppresses glioblastoma cell growth and prolongs survival in a mouse glioblastoma model
por: Fuh, B, et al.
Publicado: (2009) -
Dexamethasone exerts profound immunologic interference on treatment efficacy for recurrent glioblastoma
por: Wong, E T, et al.
Publicado: (2015) -
Effect of alternative temozolomide schedules on glioblastoma O(6)-methylguanine-DNA methyltransferase activity and survival
por: Robinson, C G, et al.
Publicado: (2010) -
The presence of a systemic inflammatory response predicts poorer survival in patients receiving adjuvant 5-FU chemotherapy following potentially curative resection for colorectal cancer
por: Crozier, J E M, et al.
Publicado: (2006) -
Individuality in FGF1 expression significantly influences platinum resistance and progression-free survival in ovarian cancer
por: Smith, G, et al.
Publicado: (2012)