Literature DB >> 18413259

High-throughput lung cancer cell line screening for genotype-correlated sensitivity to an EGFR kinase inhibitor.

Ultan McDermott1, Sreenath V Sharma, Jeffrey Settleman.   

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.

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Year:  2008        PMID: 18413259     DOI: 10.1016/S0076-6879(07)38023-3

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  17 in total

1.  Inhibition of gamma-secretase activity inhibits tumor progression in a mouse model of pancreatic ductal adenocarcinoma.

Authors:  Ruben Plentz; Ji-Sun Park; Andrew D Rhim; Daniel Abravanel; Aram F Hezel; Sreenath V Sharma; Sushma Gurumurthy; Vikram Deshpande; Candia Kenific; Jeffrey Settleman; Pradip K Majumder; Ben Z Stanger; Nabeel Bardeesy
Journal:  Gastroenterology       Date:  2009-01-14       Impact factor: 22.682

2.  Targeting the cyclin E-Cdk-2 complex represses lung cancer growth by triggering anaphase catastrophe.

Authors:  Fabrizio Galimberti; Sarah L Thompson; Xi Liu; Hua Li; Vincent Memoli; Simon R Green; James DiRenzo; Patricia Greninger; Sreenath V Sharma; Jeff Settleman; Duane A Compton; Ethan Dmitrovsky
Journal:  Clin Cancer Res       Date:  2009-12-22       Impact factor: 12.531

3.  The clinical relevance of cancer cell lines.

Authors:  Jean-Pierre Gillet; Sudhir Varma; Michael M Gottesman
Journal:  J Natl Cancer Inst       Date:  2013-02-21       Impact factor: 13.506

4.  A coding single-nucleotide polymorphism in lysine demethylase KDM4A associates with increased sensitivity to mTOR inhibitors.

Authors:  Capucine Van Rechem; Joshua C Black; Patricia Greninger; Yang Zhao; Carlos Donado; Paul D Burrowes; Brendon Ladd; David C Christiani; Cyril H Benes; Johnathan R Whetstine
Journal:  Cancer Discov       Date:  2015-01-06       Impact factor: 39.397

Review 5.  An Interactive Resource to Probe Genetic Diversity and Estimated Ancestry in Cancer Cell Lines.

Authors:  Julie Dutil; Zhihua Chen; Alvaro N Monteiro; Jamie K Teer; Steven A Eschrich
Journal:  Cancer Res       Date:  2019-03-20       Impact factor: 12.701

6.  Lkb1 inactivation is sufficient to drive endometrial cancers that are aggressive yet highly responsive to mTOR inhibitor monotherapy.

Authors:  Cristina M Contreras; Esra A Akbay; Teresa D Gallardo; J Marshall Haynie; Sreenath Sharma; Osamu Tagao; Nabeel Bardeesy; Masaya Takahashi; Jeff Settleman; Kwok-Kin Wong; Diego H Castrillon
Journal:  Dis Model Mech       Date:  2010-02-08       Impact factor: 5.758

Review 7.  Cell line-based platforms to evaluate the therapeutic efficacy of candidate anticancer agents.

Authors:  Sreenath V Sharma; Daniel A Haber; Jeff Settleman
Journal:  Nat Rev Cancer       Date:  2010-03-19       Impact factor: 60.716

8.  Multigene expression-based predictors for sensitivity to Vorinostat and Velcade in non-small cell lung cancer.

Authors:  Alykhan S Nagji; Sang-Hoon Cho; Yuan Liu; Jae K Lee; David R Jones
Journal:  Mol Cancer Ther       Date:  2010-08-16       Impact factor: 6.261

9.  Integrating complex genomic datasets and tumour cell sensitivity profiles to address a 'simple' question: which patients should get this drug?

Authors:  Cyril Benes; Jeff Settleman
Journal:  BMC Med       Date:  2009-12-14       Impact factor: 8.775

10.  Targeting the epidermal growth factor receptor in epithelial ovarian cancer: current knowledge and future challenges.

Authors:  Doris R Siwak; Mark Carey; Bryan T Hennessy; Catherine T Nguyen; Mollianne J McGahren Murray; Laura Nolden; Gordon B Mills
Journal:  J Oncol       Date:  2009-11-19       Impact factor: 4.375

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