Prostate adenocarcinoma accounts for nearly one-third of all invasive cancers not involving the skin in American men. Prostate cancer has a marked degree of clinical variability compared to other cancers and even with accurate stage determination and appropriate therapy, a finite number of men will suffer tumor progression. Thus, one of the highest priorities in prostate cancer research is to identify new laboratory tests, especially genetic markers, which can more accurately predict the rate of progression for a given prostate tumor and how it might respond to appropriate therapy. Comparative genomic hybridization (CGH) studies have shown that 8q24 is commonly overrepresented and/or amplified in prostate cancer. Using fluorescence in situ hybridization (FISH) we have recently shown that 8q24 overrepresentation is a marker of clinical progression in stage pT2N0M0, pT3N0M0, and pT2-3N1-3M0 prostate cancer. It should be noted that we define overrepresentation as a significant increase in 8q24 copy number relative to centromere 8 copy number; thus, overrepresentation includes overt amplification. 8q24 contains c-myc. Thus, c-myc could be the target of the overrepresentation. However, it is becoming clear that the actual (or only) target of many overrepresented regions is not necessarily the first gene identified in that region. Very few studies of 8q24 overrepresentation mapping have been reported.
In Specific Aim 1, we propose to map the extent of the minimally overrepresented region at 8q24 using FISH, CGH, and genomic CGH (gCGH) technology.
In Specific Aim 2, we will isolate the genes from the minimal region(s) of overrepresentation using various approaches including database searches and cDNA selection. The expression level of these genes will be evaluated in tumors with overrepresentation to determine which genes are candidates for mutational and functional studies.
In Specific Aim 3, we will extend and validate the clinical-translational relevance of 8q24 overrepresentation. This project will identify the actual target of overrepresentation at 8q24. It may be that we will identify c-myc as the common target of the 8q24 overrepresentation event. If so, then we will have identified a known target for gene therapy and will have validated a means to stratify patients for this therapy. Importantly, it is possible that other genes are common targets in 8q24, or at least that they are commonly co-overrepresented with c-myc. Such genes will define new targets for gene and/or immunotherapy in prostate cancer and will potentially provide new prognostic and predictive markers.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA091956-02
Application #
6641459
Study Section
Special Emphasis Panel (ZCA1)
Project Start
2002-08-01
Project End
2003-07-31
Budget Start
Budget End
Support Year
2
Fiscal Year
2002
Total Cost
Indirect Cost
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
City
Rochester
State
MN
Country
United States
Zip Code
55905
Guerrico, Anatilde Gonzalez; Hillman, David; Karnes, Jeffery et al. (2017) Roles of kallikrein-2 biomarkers (free-hK2 and pro-hK2) for predicting prostate cancer progression-free survival. J Circ Biomark 6:1849454417720151
Hearn, Jason W D; AbuAli, Ghada; Reichard, Chad A et al. (2016) HSD3B1 and resistance to androgen-deprivation therapy in prostate cancer: a retrospective, multicohort study. Lancet Oncol 17:1435-1444
Spratt, Daniel E; Evans, Michael J; Davis, Brian J et al. (2015) Androgen Receptor Upregulation Mediates Radioresistance after Ionizing Radiation. Cancer Res 75:4688-96
Lu, Ji; Lonergan, Peter E; Nacusi, Lucas P et al. (2015) The cistrome and gene signature of androgen receptor splice variants in castration resistant prostate cancer cells. J Urol 193:690-8
Urban, Matthew W; Wang, Chenyi; Alizad, Azra et al. (2015) Complex background suppression for vibro-acoustography images. Ultrasonics 56:456-72
Cooperberg, Matthew R; Davicioni, Elai; Crisan, Anamaria et al. (2015) Combined value of validated clinical and genomic risk stratification tools for predicting prostate cancer mortality in a high-risk prostatectomy cohort. Eur Urol 67:326-33
Alshalalfa, Mohammed; Crisan, Anamaria; Vergara, Ismael A et al. (2015) Clinical and genomic analysis of metastatic prostate cancer progression with a background of postoperative biochemical recurrence. BJU Int 116:556-67
Loeb, Stacy; Sanda, Martin G; Broyles, Dennis L et al. (2015) The prostate health index selectively identifies clinically significant prostate cancer. J Urol 193:1163-9
Ahmed, Kamran A; Davis, Brian J; Mynderse, Lance A et al. (2014) Comparison of biochemical failure rates between permanent prostate brachytherapy and radical retropubic prostatectomy as a function of posttherapy PSA nadir plus 'X'. Radiat Oncol 9:171
Wu, Qiang; Kohli, Manish; Bergen 3rd, H Robert et al. (2014) Preclinical evaluation of the supercritical extract of azadirachta indica (neem) leaves in vitro and in vivo on inhibition of prostate cancer tumor growth. Mol Cancer Ther 13:1067-77

Showing the most recent 10 out of 206 publications