High-throughput lung cancer cell line screening for genotype-correlated sensitivity to an EGFR kinase inhibitor - PubMed (original) (raw)
High-throughput lung cancer cell line screening for genotype-correlated sensitivity to an EGFR kinase inhibitor
Ultan McDermott et al. Methods Enzymol. 2008.
Abstract
Human cancer cell lines that can be propagated and manipulated in culture have proven to be excellent models for studying many aspects of gene function in cancer. In addition, they can provide a powerful system for assessing the molecular determinants of sensitivity to anticancer drugs. They have also been used in recent studies to identify genomic alterations and gene expression patterns that provide important insights into the genetic features that distinguish the properties of tumor cells associated with similar histologies. We have established a large repository of human tumor cell lines (>1000) corresponding to a wide variety of tumor types, and we have developed a methodology for profiling the collection for sensitivity to putative anticancer compounds. The rationale for examining tumor cell lines on this relatively large scale reflects accumulating evidence indicating that there is substantial genetic heterogeneity among human tumor cells-even those derived from tumors of similar histologies. Thus, to develop an accurate picture of the molecular determinants of tumorigenesis and response to therapy, it is essential to study the nature of such heterogeneity in a relatively large sample set. Here, we describe the methodologies used to conduct such screens and we describe a "proof-of-concept" screen using the EGFR kinase inhibitor, erlotinib (Tarceva), with a panel of lung cancer lines to demonstrate a correlation between EGFR mutations and drug sensitivity.
Similar articles
- Antitumor activity of the epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor gefitinib (ZD1839, Iressa) in non-small cell lung cancer cell lines correlates with gene copy number and EGFR mutations but not EGFR protein levels.
Helfrich BA, Raben D, Varella-Garcia M, Gustafson D, Chan DC, Bemis L, Coldren C, Barón A, Zeng C, Franklin WA, Hirsch FR, Gazdar A, Minna J, Bunn PA Jr. Helfrich BA, et al. Clin Cancer Res. 2006 Dec 1;12(23):7117-25. doi: 10.1158/1078-0432.CCR-06-0760. Clin Cancer Res. 2006. PMID: 17145836 - Enhanced sensitivity to the HER1/epidermal growth factor receptor tyrosine kinase inhibitor erlotinib hydrochloride in chemotherapy-resistant tumor cell lines.
Dai Q, Ling YH, Lia M, Zou YY, Kroog G, Iwata KK, Perez-Soler R. Dai Q, et al. Clin Cancer Res. 2005 Feb 15;11(4):1572-8. doi: 10.1158/1078-0432.CCR-04-0993. Clin Cancer Res. 2005. PMID: 15746062 - Genetic heterogeneity of the epidermal growth factor receptor in non-small cell lung cancer cell lines revealed by a rapid and sensitive detection system, the peptide nucleic acid-locked nucleic acid PCR clamp.
Nagai Y, Miyazawa H, Huqun, Tanaka T, Udagawa K, Kato M, Fukuyama S, Yokote A, Kobayashi K, Kanazawa M, Hagiwara K. Nagai Y, et al. Cancer Res. 2005 Aug 15;65(16):7276-82. doi: 10.1158/0008-5472.CAN-05-0331. Cancer Res. 2005. PMID: 16105816 - Tumor-Derived Cell Lines as Molecular Models of Cancer Pharmacogenomics.
Goodspeed A, Heiser LM, Gray JW, Costello JC. Goodspeed A, et al. Mol Cancer Res. 2016 Jan;14(1):3-13. doi: 10.1158/1541-7786.MCR-15-0189. Epub 2015 Aug 6. Mol Cancer Res. 2016. PMID: 26248648 Free PMC article. Review.
Cited by
- Targeting tumor resistance mechanisms.
Gerard L, Duvivier L, Gillet JP. Gerard L, et al. Fac Rev. 2021 Jan 26;10:6. doi: 10.12703/r/10-6. eCollection 2021. Fac Rev. 2021. PMID: 33659924 Free PMC article. Review. - The clinical relevance of cancer cell lines.
Gillet JP, Varma S, Gottesman MM. Gillet JP, et al. J Natl Cancer Inst. 2013 Apr 3;105(7):452-8. doi: 10.1093/jnci/djt007. Epub 2013 Feb 21. J Natl Cancer Inst. 2013. PMID: 23434901 Free PMC article. - Cell line-based platforms to evaluate the therapeutic efficacy of candidate anticancer agents.
Sharma SV, Haber DA, Settleman J. Sharma SV, et al. Nat Rev Cancer. 2010 Apr;10(4):241-53. doi: 10.1038/nrc2820. Epub 2010 Mar 19. Nat Rev Cancer. 2010. PMID: 20300105 Review. - Understanding EGFR heterogeneity in lung cancer.
Passaro A, Malapelle U, Del Re M, Attili I, Russo A, Guerini-Rocco E, Fumagalli C, Pisapia P, Pepe F, De Luca C, Cucchiara F, Troncone G, Danesi R, Spaggiari L, De Marinis F, Rolfo C. Passaro A, et al. ESMO Open. 2020 Oct;5(5):e000919. doi: 10.1136/esmoopen-2020-000919. ESMO Open. 2020. PMID: 33067323 Free PMC article. Review. - Data mining using the Catalogue of Somatic Mutations in Cancer BioMart.
Shepherd R, Forbes SA, Beare D, Bamford S, Cole CG, Ward S, Bindal N, Gunasekaran P, Jia M, Kok CY, Leung K, Menzies A, Butler AP, Teague JW, Campbell PJ, Stratton MR, Futreal PA. Shepherd R, et al. Database (Oxford). 2011 May 23;2011:bar018. doi: 10.1093/database/bar018. Print 2011. Database (Oxford). 2011. PMID: 21609966 Free PMC article.
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Research Materials
Miscellaneous