Application of Oligonucleotide Microarrays to Assess the Biological Effects of Neoadjuvant Imatinib Mesylate Treatment for Localized Prostate Cancer
Open Access
- 1 January 2006
- journal article
- Published by American Association for Cancer Research (AACR) in Clinical Cancer Research
- Vol. 12 (1) , 152-158
- https://doi.org/10.1158/1078-0432.ccr-05-1652
Abstract
Purpose: Neoadjuvant administration of antineoplastic therapies is used to rapidly assess the clinical and biological activity of novel systemic treatments. To assess the feasibility of using microarrays to assess molecular end points following targeted treatment in a heterogeneous tumor, we measured global gene expression in localized prostate cancer before and following neoadjuvant treatment with imatinib mesylate. Patients and Methods: Patients with intermediate-risk to high-risk prostate cancer were treated for 6 weeks with 200 to 300 mg of oral imatinib mesylate. Frozen tissue was obtained from pretreatment ultrasound-guided biopsies and posttreatment radical prostatectomy specimens. Oligonucleotide microarray analysis following laser capture microdissection (LCM) and RNA amplification was used to assess gene expression changes associated with imatinib mesylate therapy. Immunohistochemistry was used to measure protein expression of MKP1 and CD31 and to assess cellular apoptosis. Results: Of the 11 patients enrolled, high-quality microarray data was obtained from both biopsies (n = 7) and radical prostatectomy specimens (n = 9). Technically introduced intrasample gene expression variability was found to be significantly less than intertumor biological variability. Large gene expression differences were observed, and the gene with the most consistent differential expression (MKP1) was validated by immunohistochemistry. Gene set enrichment analysis suggests that imatinib mesylate therapy results in apoptosis of microvascular endothelial cells, an observation anecdotally supported by immunohistochemistry. Conclusions: This study shows that high-quality microarray data can be generated using LCM and RNA amplification to discover potential mechanisms of targeted therapy in cancer.Keywords
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This publication has 32 references indexed in Scilit:
- Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profilesProceedings of the National Academy of Sciences, 2005
- PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetesNature Genetics, 2003
- Is there still a role for neoadjuvant therapy in breast cancer?Critical Reviews in Oncology/Hematology, 2003
- A Gene-Expression Signature as a Predictor of Survival in Breast CancerNew England Journal of Medicine, 2002
- mRNA Expression Profiling of Laser Microbeam Microdissected Cells from Slender Embryonic StructuresThe American Journal of Pathology, 2002
- Gene expression profiling predicts clinical outcome of breast cancerNature, 2002
- MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemiaNature Genetics, 2001
- Delineation of prognostic biomarkers in prostate cancerNature, 2001
- Distinct types of diffuse large B-cell lymphoma identified by gene expression profilingNature, 2000
- Primary Chemotherapy To Avoid Mastectomy in Tumors With Diameters of Three Centimeters or MoreJNCI Journal of the National Cancer Institute, 1990