Abstract Tumor-associated hypoxia has been associated with malignant progression, metastasis, resistance to therapy, and poor clinical outcome in prostate cancer (CaP). Prompted by the evidence that hypoxia affects CaP, we studied global gene expression in 100 CaP tissues and 71 samples of adjacent benign tissues. RNA was extracted from cancer cells isolated by laser-capture microdissection (LCM) or without isolation (“bulk tissue”). We found 24 hypoxia-associated genes significantly overexpressed in CaP (p≤0.02), both in bulk tissue and LCM. Among hypoxia-associated genes, the disc large (drosophila) homolog-associated protein 5 (DLG7), hyaluronan-mediated motility receptor (HMMR) and cyclin B1 (CCNB1) were associated with Gleason score and systemic progression. Since the products of HMMR and CCNB1 have been recently identified as molecular markers of CaP progression, we postulated that DLG7 has prognostic value also. To test this hypothesis we measured transcript levels for DLG7 in a 150-pair case-control cohort. The cases (progression to systemic disease within five years of surgery) and controls (no progression within seven years) were matched for clinical and pathologic prognostic variables, including grade, stage, and preoperative serum levels of PSA. The overall prognostic ability of DLG7, as tested in receiver operating characteristic analysis was of 0.74 (95% CL, 0.68 to 0.8), independent of the for ERG status. Overall, our data indicate that DLG7, a hypoxia-controlled gene have a prognostic value in high-risk CaP. To better define the value of DLG7 as a molecular predictor of CaP progression, we are currently assessing DLG7 protein levels by immunohistochemistry. Then we will analyze the association of DLG7 levels with clinical parameters. Introduction of oxygen tension as a variable may constitute a tool for the identification of novel biomarkers for CaP. Present address CRG: University of Mississippi Cancer Institute, Jackson, MS, USA. Support: DOD PC094680 (CRG), PCF Creativity Award (CRG), Mayo Clinic Prostate SPORE 5P50CA091956 (SV-P); Mrs. Adelyn L. Luther, Singer Island, Florida and Mayo Clinic Cancer Center (SV-P). Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 116. doi:1538-7445.AM2012-116
Abstract 3008: Shared gene expression alterations in prostate cancer and histologically benign prostate from patients with prostate cancer
Abstract The frequent observations of heterogeneous tumor foci in prostate cancers indicate that the molecular changes induced by carcinogenic insult take place over wide areas within the diseased prostate. These ‘field effect’ alterations provide important clues regarding the initiation of prostate cancer (PCa) and suggest targets for cancer prevention or biomarkers for early detection. However, PCa field effect biomarkers that have passed independent validation are lacking largely because these alterations are subtle and difficult to distinguish from unrelated small changes in gene expression in the benign prostate. We postulated that shared expression alterations in PCa and in benign prostate tissue in prostate glands that contain prostate cancer (BPC) would have a higher potential for independent validation than alterations identified in BPC alone. Expression analyses was performed on PCa (n = 37) and unmatched BPC (n = 36) and contrasted with benign prostate glands (BP) from patients free of prostate cancer (n =28). These analyses identified gene alterations that were concomitantly present in both PCa and BPC. The majority of the selected markers were validated by quantitative RT-PCR in an independent set of BPC (n = 33) and BP (n =18). Validated markers included genes and non-exonic sequences not previously associated with PCa field effect. A statistical model based on CCNB1 and non-exonic NACA locus discriminated between BPC and BP in the RT-PCR set and in an external microarray dataset with accuracies of 0.84 and 0.90, respectively. Genes with predominant expression in prostate stroma were identified by expression profiling of stroma and epithelial cells collected by laser captured microdissection. Pathway analysis identified enriched GO categories in BPC stroma including PDGFR signaling. These results validate our approach for finding PCa field effect alterations and demonstrate a prostate cancer transcriptome fingerprint in the adjacent non-neoplastic cells. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3008. doi:1538-7445.AM2012-3008
The Ability of Biomarkers to Predict Systemic Progression in Men with High-Risk Prostate Cancer Treated Surgically Is Dependent on ERG Status