Literature DB >> 16397037

Application of oligonucleotide microarrays to assess the biological effects of neoadjuvant imatinib mesylate treatment for localized prostate cancer.

Phillip G Febbo1, Aaron Thorner, Mark A Rubin, Massimo Loda, Philip W Kantoff, William K Oh, Todd Golub, Daniel George.   

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.

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Year:  2006        PMID: 16397037     DOI: 10.1158/1078-0432.CCR-05-1652

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  6 in total

1.  Intertwining threshold settings, biological data and database knowledge to optimize the selection of differentially expressed genes from microarray.

Authors:  Paul Chuchana; Philippe Holzmuller; Frederic Vezilier; David Berthier; Isabelle Chantal; Dany Severac; Jean Loup Lemesre; Gerard Cuny; Philippe Nirdé; Bruno Bucheton
Journal:  PLoS One       Date:  2010-10-20       Impact factor: 3.240

2.  Successful whole-exome sequencing from a prostate cancer bone metastasis biopsy.

Authors:  E M Van Allen; A Foye; N Wagle; W Kim; S L Carter; A McKenna; J P Simko; L A Garraway; P G Febbo
Journal:  Prostate Cancer Prostatic Dis       Date:  2013-12-24       Impact factor: 5.554

Review 3.  Genomic signatures associated with the development, progression, and outcome of prostate cancer.

Authors:  Prateek Mendiratta; Phillip G Febbo
Journal:  Mol Diagn Ther       Date:  2007       Impact factor: 4.074

Review 4.  Neoadjuvant therapy for localized prostate cancer: Examining mechanism of action and efficacy within the tumor.

Authors:  David Y Lou; Lawrence Fong
Journal:  Urol Oncol       Date:  2014-02-02       Impact factor: 3.498

Review 5.  Rationale for and review of neoadjuvant therapy prior to radical prostatectomy for patients with high-risk prostate cancer.

Authors:  Rana R McKay; Toni K Choueiri; Mary-Ellen Taplin
Journal:  Drugs       Date:  2013-09       Impact factor: 9.546

6.  The role of chemotherapy and new targeted agents in the management of primary prostate cancer.

Authors:  Sanjeev Srinivas Kumar; Simon Pacey
Journal:  J Clin Urol       Date:  2016-12-01
  6 in total

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