title: Using microarrays to predict resistance to chemotherapy in cancer patients.
abstract: Chemotherapy resistance remains a major obstacle to successful treatment and better outcome in cancer patients. The advent of whole genome experimental strategies, such as DNA microarrays, has transformed the way researchers approach cancer research. There is considerable hope that microarray technology will lead to the identification of new targets for therapeutic intervention, a better understanding of the disease process, and, ultimately, to higher survival rates and more personalized medicine. The question at hand is what is the best approach to apply these new technologies to the study of anticancer drug resistance, and how can the results obtained in the laboratory be quickly moved to a clinical setting? This review offers an overview of the microarray technology, including its recently associated strategies, such as array comparative genomic hybridization and promoter arrays. It also highlights some recent examples of microarray studies, which represent a first step toward a better understanding of drug resistance in cancer and, ultimately, personalized medicine.
authors.affiliation: Microarray Centre, Clinical Genomics Centre, University Health Network, Canadian Breast Cancer Research Alliance, 790 Bay Street, Ste. 1000, Toronto, ON, M5G 1NB, Canada.
authors.forename: Chung-Hae
authors.initials: CH
authors.lastname: Lee
authors.forename: Pascale F
authors.initials: PF
authors.lastname: Macgregor
mesh_terms: D000970:Antineoplastic Agents / Q000627:therapeutic use; D019008:Drug Resistance, Neoplasm / Q000235:genetics*; D020869:Gene Expression Profiling; D006801:Humans; D009369:Neoplasms / Q000188:drug therapy / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*
chemical_list: D000970:Antineoplastic Agents