Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2012 Dec;2(12):1081-3.
doi: 10.1158/2159-8290.CD-12-0486.

Lineage-specific biomarkers predict response to FGFR inhibition

Affiliations
Comment

Lineage-specific biomarkers predict response to FGFR inhibition

David C Loch et al. Cancer Discov. 2012 Dec.

Abstract

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.

PubMed Disclaimer

Conflict of interest statement

Disclosure of Potential Conflicts of Interest: PMP has filed a patent regarding the detection of FGFR2 mutations in endometrial cancer samples (20100111944, Method of Diagnosing, Classifying and Treating Endometrial Cancer and Precancer, filed 24 March 2008) that is relevant to this topic.

Comment on

  • FGFR genetic alterations predict for sensitivity to NVP-BGJ398, a selective pan-FGFR inhibitor.
    Guagnano V, Kauffmann A, Wöhrle S, Stamm C, Ito M, Barys L, Pornon A, Yao Y, Li F, Zhang Y, Chen Z, Wilson CJ, Bordas V, Le Douget M, Gaither LA, Borawski J, Monahan JE, Venkatesan K, Brümmendorf T, Thomas DM, Garcia-Echeverria C, Hofmann F, Sellers WR, Graus-Porta D. Guagnano V, et al. Cancer Discov. 2012 Dec;2(12):1118-33. doi: 10.1158/2159-8290.CD-12-0210. Epub 2012 Sep 20. Cancer Discov. 2012. PMID: 23002168

References

    1. Yap TA, Workman P. Exploiting the cancer genome: strategies for the discovery and clinical development of targeted molecular therapeutics. Annu Rev Pharmacol Toxicol. 2012;52:549–73. - PubMed
    1. Barretina J, Caponigro G, Stransky N, Venkatesan K, Margolin AA, Kim S, et al. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature. 2012;483:603–7. - PMC - PubMed
    1. Garnett MJ, McDermott U. Exploiting genetic complexity in cancer to improve therapeutic strategies. Drug Discov Today. 2012;17:188–93. - PMC - PubMed
    1. Greshock J, Bachman KE, Degenhardt YY, Jing J, Wen YH, Eastman S, et al. Molecular target class is predictive of in vitro response profile. Cancer Res. 2010;70:3677–86. - PubMed
    1. Guagnano V, Kauffmann A, Wohrle S, Stamm C, Ito M, Barys L, et al. FGFR genetic alterations predict for sensitivity to NVP-BGJ398,a selective pan-FGFR inhibitor. Cancer Discov. 2012 - PubMed

Publication types