Open AccessMolecular-Based Recursive Partitioning Analysis Model for Glioblastoma in the Temozolomide Era
Author(s) -
Erica H. Bell,
Stephanie L. Pugh,
Joseph P. McElroy,
Mark R. Gilbert,
Minesh P. Mehta,
Alexander C. Klimowicz,
Anthony M. Magliocco,
Markus Bredel,
Pierre A. Robe,
AncaL. Grosu,
Roger Stupp,
Walter J. Curran,
Aline Paixão Becker,
Andrea L. Salavaggione,
Jill S. BarnholtzSloan,
Kenneth Aldape,
Deborah T. Blumenthal,
Paul D. Brown,
Jon Glass,
Luís Souhami,
R. Jeffrey Lee,
David Brachman,
John C. Flíckinger,
Minhee Won,
Arnab Chakravarti
Publication year - 2017
Publication title -
jama oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 8.846
H-Index - 99
eISSN - 2374-2445
pISSN - 2374-2437
DOI - 10.1001/jamaoncol.2016.6020
Subject(s) - medicine , temozolomide , recursive partitioning , oncology , hazard ratio , proportional hazards model , survivin , immunohistochemistry , glioblastoma , multivariate analysis , glioma , confidence interval , cancer research , radiation therapy , cancer
There is a need for a more refined, molecularly based classification model for glioblastoma (GBM) in the temozolomide era.
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