Microarrays to identify new therapeutic strategies for cancer.

作者: Christopher Sears , Scott A. Armstrong

DOI: 10.1016/S0065-230X(06)96003-5

关键词:

摘要: Over the past decade, microarrays have emerged as an important tool for characterization of cancer cells. Numerous studies demonstrated that cDNA arrays can help delineate biological subsets disease prognostic relevance. Such provide hope introduction this information into clinical trials will lead to more biologically based stratification schemes such appropriately tailored therapies be developed. While identification unique promises improve our ability predict which cancers are unlikely a significant response therapy, new therapeutic approaches needed in most cases. The wealth comes from microarray analysis likely holds necessary develop approaches. This chapter examples where has been used attempt either direct use current or identify potential avenues.

参考文章(59)
Pia Huusko, Therese Sørlie, Maija Wolf, Henrik Edgren, Spyro Mousses, Olli Kallioniemi, Aslaug Muggerud, Sami Kilpinen, NMD Microarray Analysis for Rapid Genome-Wide Screen of Mutated Genes in Cancer Cellular Oncology. ,vol. 27, pp. 169- 173 ,(2005) , 10.1155/2005/478316
Ghislain Bidaut, Karsten Suhre, Jean-Michel Claverie, MichaelF Ochs, Determination of strongly overlapping signaling activity from microarray data. BMC Bioinformatics. ,vol. 7, pp. 99- 99 ,(2006) , 10.1186/1471-2105-7-99
Grace Callagy, Paul Pharoah, Suet‐Feung Chin, Trogon Sangan, Yataro Daigo, Lucy Jackson, Carlos Caldas, None, Identification and validation of prognostic markers in breast cancer with the complementary use of array-CGH and tissue microarrays. The Journal of Pathology. ,vol. 205, pp. 388- 396 ,(2005) , 10.1002/PATH.1694
R. Losson, F. Lacroute, Interference of nonsense mutations with eukaryotic messenger RNA stability Proceedings of the National Academy of Sciences of the United States of America. ,vol. 76, pp. 5134- 5137 ,(1979) , 10.1073/PNAS.76.10.5134
P.-Z. Zheng, K.-K. Wang, Q.-Y. Zhang, Q.-H. Huang, Y.-Z. Du, Q.-H. Zhang, D.-K. Xiao, S.-H. Shen, S. Imbeaud, E. Eveno, C.-J. Zhao, Y.-L. Chen, H.-Y. Fan, S. Waxman, C. Auffray, G. Jin, S.-J. Chen, Z. Chen, J. Zhang, Systems analysis of transcriptome and proteome in retinoic acid/arsenic trioxide-induced cell differentiation/apoptosis of promyelocytic leukemia Proceedings of the National Academy of Sciences of the United States of America. ,vol. 102, pp. 7653- 7658 ,(2005) , 10.1073/PNAS.0502825102
Louis Mauriac, Marc Debled, Gaëtan MacGrogan, When will more useful predictive factors be ready for use? The Breast. ,vol. 14, pp. 617- 623 ,(2005) , 10.1016/J.BREAST.2005.08.013
Scott A Armstrong, Andrew L Kung, Meghann E Mabon, Lewis B Silverman, Ronald W Stam, Monique L Den Boer, Rob Pieters, John H Kersey, Stephen E Sallan, Jonathan A Fletcher, Todd R Golub, James D Griffin, Stanley J Korsmeyer, Inhibition of FLT3 in MLL: Validation of a therapeutic target identified by gene expression based classification Cancer Cell. ,vol. 3, pp. 173- 183 ,(2003) , 10.1016/S1535-6108(03)00003-5
Ulises Urzua, Casey Frankenberger, Lisa Gangi, Sara Mayer, Sandra Burkett, David J. Munroe, Microarray Comparative Genomic Hybridization Profile of a Murine Model for Epithelial Ovarian Cancer Reveals Genomic Imbalances Resembling Human Ovarian Carcinomas Tumor Biology. ,vol. 26, pp. 236- 244 ,(2005) , 10.1159/000087378
Julia C. Mallory, Gerard Crudden, Amelia Oliva, Christopher Saunders, Arnold Stromberg, Rolf J. Craven, A novel group of genes regulates susceptibility to antineoplastic drugs in highly tumorigenic breast cancer cells. Molecular Pharmacology. ,vol. 68, pp. 1747- 1756 ,(2005) , 10.1124/MOL.105.016519
Lars Bullinger, Konstanze Döhner, Eric Bair, Stefan Fröhling, Richard F. Schlenk, Robert Tibshirani, Hartmut Döhner, Jonathan R. Pollack, Use of Gene-Expression Profiling to Identify Prognostic Subclasses in Adult Acute Myeloid Leukemia New England Journal of Medicine. ,vol. 350, pp. 1605- 1616 ,(2004) , 10.1056/NEJMOA031046