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Lineage-Specific Biomarkers Predict Response to FGFR Inhibition
Author(s) -
David Loch,
Pamela M. Pollock
Publication year - 2012
Publication title -
cancer discovery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.795
H-Index - 163
eISSN - 2159-8290
pISSN - 2159-8274
DOI - 10.1158/2159-8290.cd-12-0486
Subject(s) - fibroblast growth factor receptor , biology , cancer , computational biology , lineage (genetic) , cell culture , cancer cell lines , genome , cancer research , bioinformatics , fibroblast growth factor , cancer cell , genetics , receptor , gene
In this issue of Cancer Discovery, Guagnano and colleagues use a large and diverse annotated collection of cancer cell lines, the Cancer Cell Line Encyclopedia, to correlate whole-genome expression and genomic alteration datasets with cell line sensitivity data to the novel pan-fibroblast growth factor receptor (FGFR) inhibitor NVP-BGJ398. Their findings underscore not only the preclinical use of such cell line panels in identifying predictive biomarkers, but also the emergence of the FGFRs as valid therapeutic targets, across an increasingly broad range of malignancies.

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