Financially effective test algorithm to identify an aggressive, EGFR-amplified variant of IDH-wildtype, lower-grade diffuse glioma
Author(s) -
Tejus Bale,
Justin T. Jordan,
Otto Rapalino,
Nisha Ramamurthy,
Nicholas A. Jessop,
John DeWitt,
Valentirdi,
María Martínez-Lage,
Matthew P. Frosch,
Tracy T. Batchelor,
David N. Louis,
A. John Iafrate,
Daniel P. Cahill,
Jochen K. Lennerz
Publication year - 2018
Publication title -
neuro-oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.005
H-Index - 125
eISSN - 1523-5866
pISSN - 1522-8517
DOI - 10.1093/neuonc/noy201
Subject(s) - glioma , wild type , algorithm , medicine , computer science , cancer research , genetics , biology , gene , mutant
Update 3 of the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy (cIMPACT-NOW) recognizes amplification of epidermal growth factor receptor (EGFR) as one important aberration in diffuse gliomas (World Health Organization [WHO] grade II/III). While these recommendations endorse testing, a cost-effective, clinically relevant testing paradigm is currently lacking. Here, we use real-world clinical data to propose a financially effective diagnostic test algorithm in the context of new guidelines.
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