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To develop and validate a new tissue-based biomarker that improves prediction of outcomes in localized prostate cancer by quantifying the host response to tumor. We use digital image analysis and machine learning to develop a biomarker of the prostate stroma called quantitative reactive stroma (qRS). qRS is a measure of percentage tumor area with a distinct, reactive stromal architecture. Kaplan Meier analysis was used to determine survival in a large retrospective cohort of radical prostatectomy samples. qRS was validated in two additional, distinct cohorts that include international cases and tissue from both radical prostatectomy and biopsy specimens. In the developmental cohort (Baylor College of Medicine, n=482), patients whose tumor had qRS > 34% had increased risk of prostate cancer-specific death (HR 2.94; p=0.039). This result was replicated in two validation cohorts, where patients with qRS > 34% had increased risk of prostate cancer-specific death (MEDVAMC; n=332; HR 2.64; p=0.02) and also biochemical recurrence (Canary; n=988; HR 1.51; p=0.001). By multivariate analysis, these associations were shown to hold independent predictive value when compared to currently used clinicopathologic factors including Gleason score and PSA. qRS is a new, validated biomarker that predicts prostate cancer death and biochemical recurrence across three distinct cohorts. It measures host-response rather than tumor-based characteristics, and provides information not represented by standard prognostic measurements.

ImportanceBladder-preserving trimodality therapy can be an effective alternative to radical cystectomy for treatment of muscle-invasive bladder cancer (MIBC), but biomarkers are needed to guide optimal patient selection. The DNA repair protein MRE11 is a candidate response biomarker that has not been validated in prospective cohorts using standardized measurement approaches.ObjectiveTo evaluate MRE11 expression as a prognostic biomarker in MIBC patients receiving trimodality therapy using automated quantitative image analysis.Design, Setting, and ParticipantsThis prognostic study analyzed patients with MIBC pooled from 6 prospective phase I/II, II, or III trials of trimodality therapy (Radiation Therapy Oncology Group [RTOG] 8802, 8903, 9506, 9706, 9906, and 0233) across 37 participating institutions in North America from 1988 to 2007. Eligible patients had nonmetastatic MIBC and were enrolled in 1 of the 6 trimodality therapy clinical trials. Analyses were completed August 2020.ExposuresTrimodality therapy with transurethral bladder tumor resection and cisplatin-based chemoradiation therapy.Main Outcomes and MeasuresMRE11 expression and association with disease-specific (bladder cancer) mortality (DSM), defined as death from bladder cancer. Pretreatment tumor tissues were processed for immunofluorescence with anti-MRE11 antibody and analyzed using automated quantitative image analysis to calculate a normalized score for MRE11 based on nuclear-to-cytoplasmic (NC) signal ratio.ResultsOf 465 patients from 6 trials, 168 patients had available tissue, of which 135 were analyzable for MRE11 expression (median age of 65 years [minimum-maximum, 34-90 years]; 111 [82.2%] men). Median (minimum-maximum) follow-up for alive patients was 5.0 (0.6-11.7) years. Median (Q1-Q3) MRE11 NC signal ratio was 2.41 (1.49-3.34). Patients with an MRE11 NC ratio above 1.49 (ie, above first quartile) had a significantly lower DSM (HR, 0.50; 95% CI, 0.26-0.93; P = .03). The 4-year DSM was 41.0% (95% CI, 23.2%-58.0%) for patients with an MRE11 NC signal ratio of 1.49 or lower vs 21.0% (95% CI, 13.4%-29.8%) for a ratio above 1.49. MRE11 NC signal ratio was not significantly associated with overall survival (HR, 0.84; 95% CI, 0.49-1.44).Conclusions and RelevanceHigher MRE11 NC signal ratios were associated with better DSM after trimodality therapy. Lower MRE11 NC signal ratios identified a poor prognosis subgroup that may benefit from intensification of therapy.

Background Metagenomic next-generation sequencing (mNGS) of body fluids is an emerging approach to identify occult pathogens in undiagnosed patients. We hypothesized that metagenomic testing can be simultaneously used to detect malignant neoplasms in addition to infectious pathogens. Methods From two independent studies (n = 205), we used human data generated from a metagenomic sequencing pipeline to simultaneously screen for malignancies by copy number variation (CNV) detection. In the first case-control study, we analyzed body fluid samples (n = 124) from patients with a clinical diagnosis of either malignancy (positive cases, n = 65) or infection (negative controls, n = 59). In a second verification cohort, we analyzed a series of consecutive cases (n = 81) sent to cytology for malignancy workup that included malignant positives (n = 32), negatives (n = 18), or cases with an unclear gold standard (n = 31). Results The overall CNV test sensitivity across all studies was 87% (55 of 63) in patients with malignancies confirmed by conventional cytology and/or flow cytometry testing and 68% (23 of 34) in patients who were ultimately diagnosed with cancer but negative by conventional testing. Specificity was 100% (95% CI 95–100%) with no false positives detected in 77 negative controls. In one example, a patient hospitalized with an unknown pulmonary illness had non-diagnostic lung biopsies, while CNVs implicating a malignancy were detectable from bronchoalveolar fluid. Conclusions Metagenomic sequencing of body fluids can be used to identify undetected malignant neoplasms through copy number variation detection. This study illustrates the potential clinical utility of a single metagenomic test to uncover the cause of undiagnosed acute illnesses due to cancer or infection using the same specimen.

269 Background: The 22-gene Decipher genomic classifier (GC) is a prognostic biomarker that has been validated in phase III trials in high-risk localized, post-prostatectomy, and metastatic and non-metastatic castration-resistant prostate cancer. Herein, we report the first validation of the biopsy GC in intermediate-risk prostate cancer from the phase III randomized trial NRG/RTOG 0126. Methods: After National Cancer Institute approval, biopsy slides were collected from the NRG biobank from RTOG 0126, a phase III randomized trial of men with intermediate-risk prostate cancer randomized to 70.2 Gy versus 79.2 Gy of radiotherapy without the use of concomitant hormone therapy. RNA was extracted from the highest grade tumor foci and processed through a quality control (QC) pipeline prior to generation of the previously locked 22-gene GC model. After GC data was generated it was linked with clinical outcomes to assess prognostic performance. The primary endpoint for this ancillary project was disease progression, defined as biochemical failure, local failure, distant metastasis or prostate cancer-specific mortality, as well as use of salvage therapy. Secondary endpoints included the previous individual endpoints, metastasis-free survival, and overall survival. Independent GC prognostic performance was assessed using cause-specific Cox or competing risk adjusted Fine-Gray multivariable models that included randomization arm and prognostic stratification factors. Death without events were treated as competing risks. Results: A total of 215 patient samples passed QC of the 449 that had suitable cDNA for expression analysis. The median follow-up was 12.8 years (range 2.4-17.7), and 61% had Gleason 3+4, 24% had Gleason 4+3, and the median PSA was 7.2 ng/mL (IQR 5.0-10.2). On multivariable analysis the 22-gene GC (per 0.1 unit) was independently prognostic for disease progression (subdistribution hazard ratio [sHR] 1.13, 95%CI (1.01-1.26), p = 0.03), biochemical failure (sHR 1.23, 95%CI 1.10-1.37, p < 0.001), distant metastasis (sHR 1.28, 95%CI 1.06-1.54, p = 0.01), and PCSM (sHR 1.45, 95%CI 1.20-1.76, p < 0.001). In patients with lower GC scores the 10-year distant metastasis rate difference between the 70.2 Gy and 79.2 Gy was 5%, as compared with 26% for higher GC patients. Conclusions: This study represents the first validation of any biopsy-based gene expression classifier in intermediate-risk prostate cancer. Decipher is independently prognostic and can identify patients that have low rates of metastatic events despite not receiving concurrent hormone therapy, and can be used to help personalize therapy in this setting. Clinical trial information: NCT00033631.

265 Background: A recent study ( Fossati et al, 2018) found that higher lymph node count at radical prostatectomy was associated with improved outcomes in patients treated with salvage radiation for elevated prostate-specific antigen (PSA) after surgery. We sought to validate these results in NRG/RTOG 9601, a randomized controlled trial of men with pT2/T3 disease who underwent either radiation (RT) alone or RT+antiandrogen (bicalutamide) therapy for PSA elevation following radical prostatectomy from 1998-2003. Methods: We reviewed available pathology reports for all patients in NRG/RTOG 9601 to determine the nodal count at radical prostatectomy. Clinical data was as of 11/5/2015, same as the primary endpoint for the trial. Cox proportional hazards models were used to assess the effect of number of positive lymph nodes, treatment arm (RT alone or RT+bicalutamide), Gleason score, positive margins, and seminal vesicle invasion on the following endpoints: times to local and distant failure and overall and disease specific survival. Results: Out of the 760 patients originally eligible in the trial, 552 (73%, 276 in each arm) had complete data available. Median node count in the entire cohort was 6 (range 0-33, Q1-Q3 3-9). There were no significant differences between treatment arms in terms of patient demographic or clinical characteristics, including total lymph nodes removed in either arm (RT alone vs RT+bicalutamide median 5 vs 6, p = 0.11). There was no significant association between total lymph nodes and overall survival with both arms combined (HR = 1.00, 95% CI:0.97-1.03, p = 0.87) or in the individual arms alone (RT+Casodex: HR = 1.01, 95% CI:0.97-1.05, p = 0.65; RT+Placebo: HR = 0.98, 95% CI: 0.94-1.03, p = 0.45). There was also no significant association between total lymph nodes and disease-specific survival with both arms combined (HR = 1.00, 95% CI:0.95-1.04, p = 0.84) and in the arms alone (RT+Casodex: HR = 1.00, 95% CI:0.95-1.05, p = 0.92; RT+Placebo: HR = 0.99, 95% CI: 0.92-1.07, p = 0.86). In multivariable analysis performed on the two arms, Gleason score was the only feature associated with worse overall and disease-specific survival, seen only in the RT alone arm. Similar findings were seen when evaluating times to local and distant failure. Conclusions: Lymph node yield in NRG/RTOG 9601 did not show any association with adverse outcomes in the entire cohort, or in either treatment arm alone. The therapeutic benefit of an extensive lymph node dissection in this population remains uncertain. Clinical trial information: NCT00002874.

The introduction of serum Prostate Specific Antigen (PSA) testing nearly 30 years ago has been associated with a significant shift towards localized disease and decreased deaths due to prostate cancer. Recognition that PSA testing has caused over diagnosis and over treatment of prostate cancer has generated considerable controversy over its value, and has spurred efforts to identify prognostic biomarkers to distinguish patients who need treatment from those that can be observed. Recent studies show that cancer is heterogeneous and forms a hierarchy of tumor cell populations. We developed a method of identifying prostate cancer differentiation states related to androgen signaling using Boolean logic. Using gene expression data, we identified two markers, CD38 and ARG2, that group prostate cancer into three differentiation states. Cancers with CD38-, ARG2- expression patterns, corresponding to an undifferentiated state, had significantly lower 10-year recurrence-free survival compared to the most differentiated group (CD38+ARG2+). We carried out immunohistochemical (IHC) staining for these two markers in a single institution (Stanford; n = 234) and multi-institution (Canary; n = 1326) cohorts. IHC staining for CD38 and ARG2 in the Stanford cohort demonstrated that combined expression of CD38 and ARG2 was prognostic. In the Canary cohort, low CD38 protein expression by IHC was significantly associated with recurrence-free survival (RFS), seminal vesicle invasion (SVI), extra-capsular extension (ECE) in univariable analysis. In multivariable analysis, ARG2 and CD38 IHC staining results were not independently associated with RFS, overall survival, or disease-specific survival after adjusting for other factors including SVI, ECE, Gleason score, pre-operative PSA, and surgical margins.

Histologic grading remains the gold standard for prognosis in prostate cancer, and assessment of Gleason score plays a critical role in active surveillance management. We sought to optimize the prognostic stratification of grading and developed a method of recording and studying individual architectural patterns by light microscopic evaluation that is independent of standard Gleason grade. Some of the evaluated patterns are not assessed by current Gleason grading (eg, reactive stromal response). Individual histologic patterns were correlated with recurrence-free survival in a retrospective postradical prostatectomy cohort of 1275 patients represented by the highest-grade foci of carcinoma in tissue microarrays. In univariable analysis, fibromucinous rupture with varied epithelial complexity had a significantly lower relative risk of recurrence-free survival in cases graded as 3+4=7. Cases having focal "poorly formed glands," which could be designated as pattern 3+4=7, had lower risk than cribriform patterns with either small cribriform glands or expansile cribriform growth. In separate multivariable Cox proportional hazard analyses of both Gleason score 3+3=6 and 3+4=7 carcinomas, reactive stromal patterns were associated with worse recurrence-free survival. Decision tree models demonstrate potential regrouping of architectural patterns into categories with similar risk. In summary, we argue that Gleason score assignment by current consensus guidelines are not entirely optimized for clinical use, including active surveillance. Our data suggest that focal poorly formed gland and cribriform patterns, currently classified as Gleason pattern 4, should be in separate prognostic groups, as the latter is associated with worse outcome. Patterns with extravasated mucin are likely overgraded in a subset of cases with more complex epithelial bridges, whereas stromogenic cancers have a worse outcome than conveyed by Gleason grade alone. These findings serve as a foundation to facilitate optimization of histologic grading and strongly support incorporating reactive stroma into routine assessment.

BACKGROUND Given the uncertainties inherent in clinical measures of prostate cancer aggressiveness, clinically validated tissue biomarkers are needed. We tested whether Alpha-2-Glycoprotein 1, Zinc-Binding (AZGP1) protein levels, measured by immunohistochemistry, and RNA expression, by RNA in situ hybridization (RISH), predict recurrence after radical prostatectomy independent of clinical and pathological parameters. METHODS AZGP1 IHC and RISH were performed on a large multi-institutional tissue microarray resource including 1,275 men with 5 year median follow-up. The relationship between IHC and RISH expression levels was assessed using the Kappa analysis. Associations with clinical and pathological parameters were tested by the Chi-square test and the Wilcoxon rank sum test. Relationships with outcome were assessed with univariable and multivariable Cox proportional hazards models and the Log-rank test. RESULTS Absent or weak expression of AZGP1 protein was associated with worse recurrence free survival (RFS), disease specific survival, and overall survival after radical prostatectomy in univariable analysis. AZGP1 protein expression, along with pre-operative serum PSA levels, surgical margin status, seminal vesicle invasion, extracapsular extension, and Gleason score predicted RFS on multivariable analysis. Similarly, absent or low AZGP1 RNA expression by RISH predicted worse RFS after prostatectomy in univariable and multivariable analysis. CONCLUSIONS In our large, rigorously designed validation cohort, loss of AZGP1 expression predicts RFS after radical prostatectomy independent of clinical and pathological variables. Prostate © 2016 Wiley Periodicals, Inc.

Background Prognosis associated with metastatic renal cell carcinoma (mRCC) can vary widely. Methods This study used pretreatment nephrectomy specimens from a randomized phase III trial. Expression levels of candidate genes were determined from archival tumors using the OpenArray® platform for TaqMan® RT-qPCR. The dataset was randomly divided at 2:1 ratio into training (n=221) and testing (n=103) sets to develop a multigene prognostic signature. Findings Gene expressions were measured in 324 patients. In the training set, multiple models testing 424 candidate genes identified a prognostic signature containing 8 genes plus MSKCC clinical risk factors. In the testing set, the time dependent (td) AUC for a prognostic model containing the 8 genes with and without MSKCC risk factors were 0.72 and 0.69, respectively. The tdAUC for the clinical risk factors alone was 0.61. Additional primary mRCCs from patients with mRCC (n=12) were sampled in multiple sites and standard deviations of gene expressions within a tumor were used as a measure of heterogeneity. All 8 genes in the final prognostic model met our criteria for minimal heterogeneity. Conclusions A molecular prognostic signature based on 8 genes was developed and is ready for external validation in this patient population and other related settings such as nonmetastatic RCC.

While the typical imaging features of the more common RCC subtypes have previously been described, they can at times have unusual, but distinguishing features. Rarer renal tumors span a broad range of imaging features, but they may also have characteristic presentations. We review the key imaging features of atypical presentations of malignant renal tumors and uncommon malignant renal tumors. Renal tumors have many different presentation patterns, but knowledge of the distinguishing MR and CT features can help identify both atypical presentation of common malignancies and uncommon renal tumors.

Background.Sarcoma mortality remains high despite adjuvant chemotherapy. Biomarker predictors of treatment response and outcome could improve treatment selection.Methods. Tissue microarrays (TMAs) were created using pre- and posttreatment tumor from two prospective trials (MGH pilot and RTOG 9514) of neoadjuvant/adjuvant MAID chemotherapy and preoperative radiation. Biomarkers were measured using automated computerized imaging (AQUA or ACIS). Expression was correlated with disease-free survival (DFS), distant disease-free survival (DDFS), and overall survival (OS).Results. Specimens from 60 patients included 23 pretreatment (PRE), 40 posttreatment (POST), and 12 matched pairs (MPs). In the MP set, CAIX, GLUT1, and PARP1 expression significantly decreased following neoadjuvant therapy, but p53 nuclear/cytoplasmic (N/C) ratio increased. In the PRE set, no biomarker expression was associated with DFS, DDFS, or OS. In the POST set, increased p53 N/C ratio was associated with a significantly decreased DFS and DDFS (HR 4.13,p=0.017; HR 4.16,p=0.016), while increased ERCC1 and XPF expression were associated with an improved DFS and DDFS. No POST biomarkers were associated with OS.Conclusions. PRE biomarker expression did not predict survival outcomes. Expression pattern changes after neoadjuvant chemoradiation supports the concepts of tumor reoxygenation, altered HIF-1αsignaling, and a p53 nuclear accumulation DNA damage response.Clinical Trial Registration. NRG Oncology RTOG 9514 is registered with ClinicalTrials.gov. The ClinicalTrials.gov Identifier isNCT00002791.

In human prostate cancer, the microRNA biogenesis machinery increases with prostate cancer progression. Here, we show that deletion of the Dgcr8 gene, a critical component of this complex, inhibits tumor progression in a Pten ‐knockout mouse model of prostate cancer. Early stages of tumor development were unaffected, but progression to advanced prostatic intraepithelial neoplasia was severely inhibited. Dgcr8 loss blocked Pten null‐induced expansion of the basal‐like, but not luminal, cellular compartment. Furthermore, while late‐stage Pten knockout tumors exhibit decreased senescence‐associated beta‐galactosidase activity and increased proliferation, the simultaneous deletion of Dgcr8 blocked these changes resulting in levels similar to wild type. Sequencing of small RNAs in isolated epithelial cells uncovered numerous miRNA changes associated with PTEN loss. Consistent with a Pten–Dgcr8 association, analysis of a large cohort of human prostate tumors shows a strong correlation between Akt activation and increased Dgcr8 mRNA levels. Together, these findings uncover a critical role for microRNAs in enhancing proliferation and enabling the expansion of the basal cell compartment associated with tumor progression following Pten loss. ![][1] This study uncovers an essential role for the microRNA biogenesis factor DGCR8 in prostate tumor progression following PTEN loss. The simultaneous deletion of Dgcr8 and Pten allows early progression to hyperplasia but not later progression to dysplasia. EMBO Reports (2015) 16: 1219–1232 [1]: /embed/graphic-1.gif

BACKGROUND Loss of the phosphatase and tensin homolog (PTEN) tumor suppressor gene is a promising marker of aggressive prostate cancer. Active surveillance and watchful waiting are increasingly recommended to patients with small tumors felt to be low risk, highlighting the difficulties of Gleason scoring in this setting. There is an urgent need for predictive biomarkers that can be rapidly deployed to aid in clinical decision-making. Our objectives were to assess the incidence and ability of PTEN alterations to predict aggressive disease in a multicenter study. METHODS We used recently developed probes optimized for sensitivity and specificity in a four-color FISH deletion assay to study the Canary Retrospective multicenter Prostate Cancer Tissue Microarray (TMA). This TMA was constructed specifically for biomarker validation from radical prostatectomy specimens, and is accompanied by detailed clinical information with long-term follow-up. RESULTS In 612 prostate cancers, the overall rate of PTEN deletion was 112 (18.3%). Hemizygous PTEN losses were present in 55/612 (9.0%) of cancers, whereas homozygous PTEN deletion was observed in 57/612 (9.3%) of tumors. Significant associations were found between PTEN status and pathologic stage (P

We report a comprehensive analysis of 412 muscle-invasive bladder cancers characterized by multiple TCGA analytical platforms. Fifty-eight genes were significantly mutated, and the overall mutational load was associated with APOBEC-signature mutagenesis. Clustering by mutation signature identified a high-mutation subset with 75% 5-year survival. mRNA expression clustering refined prior clustering analyses and identified a poor-survival "neuronal" subtype in which the majority of tumors lacked small cell or neuroendocrine histology. Clustering by mRNA, long non-coding RNA (lncRNA), and miRNA expression converged to identify subsets with differential epithelial-mesenchymal transition status, carcinoma in situ scores, histologic features, and survival. Our analyses identified 5 expression subtypes that may stratify response to different treatments.

58 Background: Distinguishing indolent from aggressive prostate cancer remains a key challenge for prostate cancer management decision-making. A growing number of biomarkers are now on the market to help address this need, but have rarely been examined together in the same patients to determine their relative value. Methods: We identified men with low-risk cancers defined by biopsy Gleason score ≤3+3, PSA ≤10ng/ml, and clinical stage ≤T2 who underwent immediate prostatectomy. We collected archived prostate tissue and pre-surgical plasma samples from N = 381 cases from UCSF and N = 279 cases from UW. Plasma was analyzed for TGFb1 and IL6SR, previously validated markers for prostate cancer prognosis, using ELISA. From prostate tissue, DNA and RNA were extracted and analyzed for the GEMCaP copy number variation score and the cell cycle progression (CCP) score, respectively, both well-validated and previously reported scores. Pathologic outcomes were minor (pGS 3+4 or pT3a) or major (pGS ≥4+3 or ≥pT3b) upgrading/upstaging (UGUS), and multinomial regression was performed to determine putative markers’ ability to predict these outcomes, controlling for PSA, percent of biopsy cores positive, age, and clinical site. Results: Overall, 357 men had no UGUS event at prostatectomy, 236 had a minor event, and 67 had a major event. Neither TGFb1 nor IL6SR statistically significantly predicted any UGUS or major UGUS. On the other hand, both CCP and GEMCaP were directly associated with minor UGUS on univariate analysis. On multivariable multinomial analysis including both scores, the CCP score predicted minor UGUS (OR 1.70, 95% CI 1.07-2.72, p = .03) and GEMCaP also predicted minor UGUS (OR 1.04, 95% CI 1.01-1.07, p < .01). Neither CCP nor GEMCaP predicted major UG/US, but the number of events was small. Noteworthy, both GEMCaP and the CCP score were statistically significant predictors of outcomes in the same model, suggesting they can complement each other by offering additional information. The other clinical parameters were not significant in this model. Conclusions: Biomarker signatures based on analysis of DNA and RNA significantly and independently predict adverse pathology among men with clinically low-risk prostate cancer undergoing prostatectomy.

BackgroundPTEN is the most commonly deleted tumor suppressor gene in primary prostate cancer (PCa) and its loss is associated with poor clinical outcomes and ERG gene rearrangement.ObjectiveWe tested whether PTEN loss is associated with shorter recurrence-free survival (RFS) in surgically treated PCa patients with known ERG status.Design setting and participantsA genetically validated, automated PTEN immunohistochemistry (IHC) protocol was used for 1275 primary prostate tumors from the Canary Foundation retrospective PCa tissue microarray cohort to assess homogeneous (in all tumor tissue sampled) or heterogeneous (in a subset of tumor tissue sampled) PTEN loss. ERG status as determined by a genetically validated IHC assay was available for a subset of 938 tumors.Outcome measurements and statistical analysisAssociations between PTEN and ERG status were assessed using Fisher's exact test. Kaplan-Meier and multivariate weighted Cox proportional models for RFS were constructed.Results and limitationsWhen compared to intact PTEN, homogeneous (hazard ratio [HR] 1.66, p = 0.001) but not heterogeneous (HR 1.24, p = 0.14) PTEN loss was significantly associated with shorter RFS in multivariate models. Among ERG-positive tumors, homogeneous (HR 3.07, p < 0.0001) but not heterogeneous (HR 1.46, p = 0.10) PTEN loss was significantly associated with shorter RFS. Among ERG-negative tumors, PTEN did not reach significance for inclusion in the final multivariate models. The interaction term for PTEN and ERG status with respect to RFS did not reach statistical significance (p = 0.11) for the current sample size.ConclusionsThese data suggest that PTEN is a useful prognostic biomarker and that there is no statistically significant interaction between PTEN and ERG status for RFS.Patient summaryWe found that loss of the PTEN tumor suppressor gene in prostate tumors as assessed by tissue staining is correlated with shorter time to prostate cancer recurrence after radical prostatectomy.

PTEN loss is a promising prognostic and predictive biomarker in prostate cancer. Because it occurs most commonly via PTEN gene deletion, we developed a clinical-grade, automated, and inexpensive immunohistochemical assay to detect PTEN loss. We studied the sensitivity and specificity of PTEN immunohistochemistry relative to four-color fluorescence in situ hybridization (FISH) for detection of PTEN gene deletion in a multi-institutional cohort of 731 primary prostate tumors. Intact PTEN immunostaining was 91% specific for the absence of PTEN gene deletion (549/602 tumors with two copies of the PTEN gene by FISH showed intact expression of PTEN by immunohistochemistry) and 97% sensitive for the presence of homozygous PTEN gene deletion (absent PTEN protein expression by immunohistochemistry in 65/67 tumors with homozygous deletion). PTEN immunohistochemistry was 65% sensitive for the presence of hemizygous PTEN gene deletion, with protein loss in 40/62 hemizygous tumors. We reviewed the 53 cases where immunohistochemistry showed PTEN protein loss and FISH showed two intact copies of the PTEN gene. On re-review, there was ambiguous immunohistochemistry loss in 6% (3/53) and failure to analyze the same tumor area by both methods in 34% (18/53). Of the remaining discordant cases, 41% (13/32) revealed hemizygous (n=8) or homozygous (n=5) PTEN gene deletion that was focal in most cases (11/13). The remaining 19 cases had two copies of the PTEN gene detected by FISH, representing truly discordant cases. Our automated PTEN immunohistochemistry assay is a sensitive method for detection of homozygous PTEN gene deletions. Immunohistochemistry screening is particularly useful to identify cases with heterogeneous PTEN gene deletion in a subset of tumor glands. Mutations, small insertions, or deletions and/or epigenetic or microRNA-mediated mechanisms may lead to PTEN protein loss in tumors with normal or hemizygous PTEN gene copy number.

Author(s): Eminaga, Okyaz; Wei, Wei; Hawley, Sarah J; Auman, Heidi; Newcomb, Lisa F; Simko, Jeff; Hurtado-Coll, Antonio; Troyer, Dean A; Carroll, Peter R; Gleave, Martin E; Lin, Daniel W; Nelson, Peter S; Thompson, Ian M; True, Lawrence D; McKenney, Jesse K; Feng, Ziding; Fazli, Ladan; Brooks, James D | Abstract: BackgroundThe uncertainties inherent in clinical measures of prostate cancer (CaP) aggressiveness endorse the investigation of clinically validated tissue biomarkers. MUC1 expression has been previously reported to independently predict aggressive localized prostate cancer. We used a large cohort to validate whether MUC1 protein levels measured by immunohistochemistry (IHC) predict aggressive cancer, recurrence and survival outcomes after radical prostatectomy independent of clinical and pathological parameters.Material and methodsMUC1 IHC was performed on a multi-institutional tissue microarray (TMA) resource including 1,326 men with a median follow-up of 5 years. Associations with clinical and pathological parameters were tested by the Chi-square test and the Wilcoxon rank sum test. Relationships with outcome were assessed with univariable and multivariable Cox proportional hazard models and the Log-rank test.ResultsThe presence of MUC1 expression was significantly associated with extracapsular extension and higher Gleason score, but not with seminal vesicle invasion, age, positive surgical margins or pre-operative serum PSA levels. In univariable analyses, positive MUC1 staining was significantly associated with a worse recurrence free survival (RFS) (HR: 1.24, CI 1.03-1.49, P = 0.02), although not with disease specific survival (DSS, Pg0.5). On multivariable analyses, the presence of positive surgical margins, extracapsular extension, seminal vesicle invasion, as well as higher pre-operative PSA and increasing Gleason score were independently associated with RFS, while MUC1 expression was not. Positive MUC1 expression was not independently associated with disease specific survival (DSS), but was weakly associated with overall survival (OS).ConclusionIn our large, rigorously designed validation cohort, MUC1 protein expression was associated with adverse pathological features, although it was not an independent predictor of outcome after radical prostatectomy.

Human organic cation transporter 3 (OCT3 and SLC22A3) mediates the uptake of many important endogenous amines and basic drugs in a variety of tissues. OCT3 is identified as one of the important risk loci for prostate cancer, and is markedly underexpressed in aggressive prostate cancers. The goal of this study was to identify genetic and epigenetic factors in the promoter region that influence the expression level of OCT3. Haplotypes that contained the common variants, g.-81G>delGA (rs60515630) (minor allele frequency 11.5% in African American) and g.-2G>A (rs555754) (minor allele frequency>30% in all ethnic groups) showed significant increases in luciferase reporter activities and exhibited stronger transcription factor-binding affinity than the haplotypes that contained the major alleles. Consistent with the reporter assays, OCT3 messenger RNA expression levels were significantly higher in Asian (P

343 Background: Biomarkers are needed to help select patients (pts) with muscle invading bladder cancer (MIBC) for bladder sparing chemotherapy and radiation treatment (CRT). Higher MRE11 expression has been identified as a potential RT response marker in MIBC. MRE11 protein is involved in the DNA double strand break repair mechanism. This analysis evaluates associations between MRE11 expression and outcome in pts from 6 NRG/RTOG bladder-sparing RT protocols. Methods: Archival tissue via TMA or unstained slides was used. Cases were stained with anti MRE11 antibody Rabbit mAb, clone EPR3471 (Epitomics at 1:1500 dilution). Slides were scanned on an Aperio FL instrument and analyzed via Automated Quantitative Image analysis (AQUA). MRE11 scores were determined within the nucleus and cytoplasm of urothelial cells and a ratio of nuclear to cytoplasmic (N/C) score calculated. A ratio was used to normalize scores and overcome pre-analytical variation. MRE11 N/C was analyzed by quartile cut points. Cumulative incidence was used to estimate disease-specific mortality (DSM; failure=bladder cancer death) and Fine-Gray models were used to evaluate associations between MRE11 and DSM. Cox models were used for overall survival (OS; death) and bladder-intact survival (BIS; cystectomy/death). Results: Out of 465 eligible pts, tissue was available and MRE11 N/C determined for 135. Analyzable pts were less likely to be white (p=0.0001) and more likely to be T2 (p=0.0003). Median MRE11 N/C was 2.41 (min-max: 0.69-6.03). Pts with MRE11 N/C ≤ 1.49 (lower quartile) were associated with significantly higher DSM (HR= 2, 95% CI: 1.1, 3.8, p=0.03). The 4-year DSM was 41% for pts with MER11 N/C ≤ 1.49 vs. 21% for pts with MER11 N/C was >1.49. MRE11 N/C was not associated with OS or BIS. Conclusions: AQUA analysis allows precise measurement of this marker in tissue samples. Low expression of MRE11 N/C (≤1.49) is associated with significantly higher DSM. This adds further evidence of MRE11 as a potential RT response biomarker for selection of pts most likely to respond to bladder-sparing CRT. Supported by NCI grants U10CA180868, U10CA180822, UG1CA189867,U24CA196067.

Purpose: We evaluated the reproducibility of Gleason grading as relevant to the clinical treatment of men on active surveillance.Materials and Methods: Three sets of digital images of prostatic adenocarcinoma in biopsies were reviewed and assigned Gleason scores by a total of 11 pathologists from 7 institutions. Interobserver and intra-observer reproducibility were assessed for assignment of the highest Gleason pattern (3 vs 4 or higher). We also identified 97 consecutive patients on active surveillance. Prostate biopsy glass slides from 82 of the patients were available for re-review and the frequency of carcinoma requiring the distinction of tangentially sectioned Gleason pattern 3 from 4 was determined.Results: Interobserver reproducibility for classic Gleason patterns was substantial (Light's κ 0.76). Interobserver reproducibility for the histological distinction of tangentially sectioned Gleason pattern 3 from Gleason pattern 4 was only fair (Light's κ 0.27). Intra-observer reproducibility ranged fro...

Recent prostate-specific antigen–based screening trials indicate an urgent need for novel and noninvasive biomarker identification strategies to improve the prediction of prostate cancer behavior. Noncoding microRNAs (miRNA) in the serum and plasma have been shown to have potential as noninvasive markers for physiologic and pathologic conditions. To identify serum miRNAs that diagnose and correlate with the prognosis of prostate cancer, we developed a multiplex quantitative reverse transcription PCR method involving the purification of multiplex PCR products followed by uniplex analysis on a microfluidics chip to evaluate 384 human miRNAs. Using Dgcr8 and Dicer knockout (small RNA-deficient) mouse ES cells as the benchmark, we confirmed the validity of our technique and uncovered a considerable lack of accuracy in previously published methods. Profiling 48 sera from healthy men and untreated prostate cancer patients with differing CAPRA scores, we identified miRNA signatures that allow us to diagnose cancer patients and correlate with a prognosis. These serum signatures include oncogenic and tumor-suppressive miRNAs, suggesting functional roles in prostate cancer progression. Cancer Res; 71(2); 550–60. ©2010 AACR.

Study Type – Therapy (case control) Level of Evidence 3b What's known on the subject? and What does the study add? The risks of delayed radical prostatectomy for men who progress on active surveillance are largely unknown. Two series have reported that prostatectomy after active surveillance has similar results to immediate therapy. Our data add to this growing body of evidence that appropriately selected men with prostate cancer can undergo active surveillance with delayed prostatectomy without added risk of missing an opportunity for cure as the majority of tumours remain organ confined. OBJECTIVE • To compare the pathological outcomes of men undergoing radical prostatectomy (RP) after a period of active surveillance (AS) with those of a similar risk group undergoing immediate surgery. PATIENTS AND METHODS • We identified men through our institutional database who underwent RP within 6 months of diagnosis or after a period of AS. The primary outcome of the present study was Gleason upgrade to ≥7 after prostatectomy. • Pathological stage and positive surgical margin rate were assessed as secondary outcomes. Binomial logistic regression models were used to determine associations of treatment subgroups with pathological upgrade, upstage and positive margins. RESULTS • Thirty-three men with initially low-risk cancer features underwent RP after a median (range) of 18 (7–76) months of AS. A total of 278 men with low-risk disease features underwent immediate RP within 6 months of diagnosis. Rates of Gleason upgrading to ≥7, pathological category pT3 and positive surgical margins did not differ significantly from the immediate RP group. • On multivariate analysis of low-risk patients, adjusting for baseline pathological features, treatment group (AS followed by prostatectomy vs immediate prostatectomy) was not associated with Gleason upgrading (odds ratio, OR, 0.35; 95% CI, 0.12–1.04), non-organ-confined disease (OR, 1.67; 95% CI, 0.32–8.65) or positive surgical margins at prostatectomy (OR, 0.95; 95% CI, 0.16–5.76). CONCLUSION • The present analysis did not show an association between RP after a period of AS and adverse pathological features for men with low-risk disease.

69 Background: Over 15% of men with newly diagnosed prostate cancer (PCa) have high-risk features that raise the recurrence risk. Better biomarkers could allow for even earlier detection of biochemical recurrence (BCR) and inform adjuvant treatment decisions. Circulating tumor cells (CTCs) may represent the earliest form of metastases, however their role as biomarkers in men with localized PCa is not well defined. Here, we aim to enumerate and molecularly and genomically analyze CTCs using an enrichment-free, unbiased CTC identification technology from men with high-risk, localized PCa after radical prostatectomy (RP) and correlate the analysis with clinical outcomes. Methods: Blood samples from 37 patients with high-risk, localized PCa were obtained 2-5 mos post RP and shipped to Epic. All nucleated cells were subjected to immunofluorescent staining for cytokeratin (CK), CD45, and AR. CTCs were identified using algorithmic analysis. CK+ CTCs were enumerated and subsequently analyzed for AR expression and individually sequenced for copy number alterations (CNA). Patients were followed for BCR, defined as detectable PSA > 0.2ng/dL. Progression free survival (PFS) was calculated using Kaplan-Meier and Cox proportional hazards. Results: CTCs were detected in 81.1%(30/37) of patients with an average of 5.2 CTCs/ml (range: 0 – 22.9) detected per patient. AR expression was detected in 18.9% (7/37) of patients. Ninety nine CTCs from 14 patients were picked and sequenced. CNAs were identified in CTCs in commonly mutated genes in PCa, including MYC amplification and CHD1 deletions. Patients with higher traditional CTC (CK+) burdens exhibited a trend towards shorter PFS (hazard ratio: 1.65; 95% confidence interval: 0.7-3.86; p = 0.13). Conclusions: There was a high incidence of CTC detection after RP in patients with high-risk, localized PCa. A trend toward shorter PFS was seen in those with higher CTC burden. Genomic alterations were detectable in CTCs and consistent with established CNAs in PCa. With further testing in appropriately powered cohorts early CTC detection after primary therapy could represent an informative biomarker to stratify patients with high risk PCa.

74 Background: Among men with clinically low-risk prostate cancer, we have previously documented heterogeneity in terms of clinical characteristics and genomic risk scores. In this study, we aimed to study the underlying tumor biology of this patient population, by interrogating patterns of gene expression among men with clinically low-risk tumors. Methods: Prostate biopsies from 427 patients considered potentially suitable for active surveillance underwent central pathology review and genome-wide expression profiling. These cases were compared to 1290 higher-risk biopsy cases with diverse clinical features from a prospective genomic registry. Average genomic risk (AGR) was determined from 18 published prognostic signatures, and MSigDB Hallmark gene sets were analyzed using bootstrapped clustering methods. These sets were examined in relation to clinical variables and pathologic and biochemical outcomes using multivariable regression analysis. Results: 408 (96%) of biopsies passed RNA quality control. Based on average genomic risk quartiles defined by the high-risk multicenter cases, the UCSF low-risk patients were distributed across the quartiles as 219 (54%), 107 (26%), 61 (15%), and 21 (5%). Unsupervised clustering analysis of the Hallmark gene set scores revealed 3 clusters, which were enriched for the previously described PAM50 luminal A, luminal B and basal subtypes. These three clusters did not associate with existing clinical or known genomic risk characteristics, suggesting a novel and independent classification for low-risk prostate cancer. AGR was associated with both pathological (OR: 1.3, p < 0.001) and biochemical outcomes (OR: 1.5, p = 0.001 ) but the clusters were not. Conclusions: Prostate cancers that are largely homogeneously low-risk by traditional characteristics demonstrate substantial diversity at the level of genomic expression. Molecular sub-stratification of low-risk prostate cancer may facilitate better decision-making with respect to both timing and intensity of cancer surveillance and treatment.

132 Background: We evaluated the feasibility and efficacy of a decision support intervention designed to help men with low-risk prostate cancer consider active surveillance and standard treatments. The intervention incorporated a decision aid with coaching and question-listing. Our decision aid is the first to include data on long-term survival and side effects from men with prostate cancer undergoing active surveillance, surgery, and radiation. Methods: To develop the intervention, we conducted focus groups using the Nominal Group Technique. We used a survey instrument from the International Patient Decision Aids Standards to measure the stakeholder endorsement of our intervention. To test the intervention, we administered it to newly diagnosed men with low-risk prostate cancer (Gleason sum < = 3+4, stage < = T2N0M0, PSA < = 10 ng/ml) seen at UCSF. Before and after the intervention, we administered a survey with questions from the Decision Quality Instrument for Prostate Cancer. Our primary outcome was change in knowledge as assessed by two multiple-choice items: How many men diagnosed with early stage prostate cancer will eventually die of prostate cancer? How much would waiting 3 months to make a treatment decision affect chances of survival? Correct answers were: “Most will die of something else” and “A little or not at all.” Results: The development phase involved 6 patients, 1 family member, 2 physicians, and 5 other health care providers and four iterations of the intervention until consensus endorsement was reached. In the pilot test, 57 men consented, and 44 received the decision support intervention and completed surveys at both timepoints. Before the intervention, 30/44 (68%) got both questions right, compared to 36/44 (82%) after the intervention. 82% maintained or achieved perfect scores; 16% answered 1 or more incorrectly both before and after the intervention; and 2% answered both items correctly before, but 1 wrong after. Conclusions: This novel decision support intervention was feasible, and appeared to improve knowledge and informed decision-making. Data will guide the development of a larger scale randomized clinical trial to improve decision quality in men with prostate cancer, in the community. Clinical trial information: NCT02451345.

The histopathological diagnosis of melanoma can be challenging. No currently used molecular markers accurately distinguish between nevus and melanoma. Recent transcriptome analyses have shown the differential expression of several genes in melanoma progression. Here, we describe a multi-marker diagnostic assay using 5 markers (ARPC2, FN1, RGS1, SPP1, and WNT2) overexpressed in melanomas. Immunohistochemical marker expression was analyzed in 693 melanocytic neoplasms comprising a training set (tissue microarray of 534 melanomas and nevi), and 4 independent validation sets: tissue sections of melanoma arising in a nevus; dysplastic nevi; Spitz nevi; and misdiagnosed melanocytic neoplasms. Both intensity and pattern of expression were scored for each marker. Based on the differential expression of these 5 markers between nevi and melanomas in the training set, a diagnostic algorithm was obtained. Using this algorithm, the lesions in the validation sets were diagnosed as nevus or melanoma, and the results were compared with the known histological diagnoses. Both the intensity and pattern of expression of each marker were significantly different in melanomas compared to nevi. The diagnostic algorithm exploiting these differences achieved a specificity of 95% and a sensitivity of 91% in the training set. In the validation sets, the multi-marker assay correctly diagnosed a high percentage of melanomas arising in a nevus, Spitz nevi, dysplastic nevi, and misdiagnosed lesions. The multi-marker assay described here can aid in the diagnosis of melanoma.

Epidemiological and prospective studies indicate that comprehensive lifestyle changes may modify the progression of prostate cancer. However, the molecular mechanisms by which improvements in diet and lifestyle might affect the prostate microenvironment are poorly understood. We conducted a pilot study to examine changes in prostate gene expression in a unique population of men with low-risk prostate cancer who declined immediate surgery, hormonal therapy, or radiation and participated in an intensive nutrition and lifestyle intervention while undergoing careful surveillance for tumor progression. Consistent with previous studies, significant improvements in weight, abdominal obesity, blood pressure, and lipid profile were observed (all P < 0.05), and surveillance of low-risk patients was safe. Gene expression profiles were obtained from 30 participants, pairing RNA samples from control prostate needle biopsy taken before intervention to RNA from the same patient's 3-month postintervention biopsy. Quantitative real-time PCR was used to validate array observations for selected transcripts. Two-class paired analysis of global gene expression using significance analysis of microarrays detected 48 up-regulated and 453 down-regulated transcripts after the intervention. Pathway analysis identified significant modulation of biological processes that have critical roles in tumorigenesis, including protein metabolism and modification, intracellular protein traffic, and protein phosphorylation (all P < 0.05). Intensive nutrition and lifestyle changes may modulate gene expression in the prostate. Understanding the prostate molecular response to comprehensive lifestyle changes may strengthen efforts to develop effective prevention and treatment. Larger clinical trials are warranted to confirm the results of this pilot study.

Purpose: More than 1,300,000 prostate needle biopsies are done annually in the United States with up to 16% incidence of isolated high-grade prostatic intraepithelial neoplasia (HGPIN). HGPIN has low predictive value for identifying prostate cancer on subsequent needle biopsies in prostate-specific antigen–screened populations. In contemporary series, prostate cancer is detected in ∼20% of repeat biopsies following a diagnosis of HGPIN. Further, discrete histologic subtypes of HGPIN with clinical implication in management have not been characterized. The TMPRSS2-ERG gene fusion that has recently been described in prostate cancer has also been shown to occur in a subset of HGPIN. This may have significant clinical implications given that TMPRSS2-ERG fusion prostate cancer is associated with a more aggressive clinical course. Experimental Design: In this study, we assessed a series of HGPIN lesions and paired prostate cancer for the presence of TMPRSS2-ERG gene fusion. Results: Fusion-positive HGPIN was observed in 16% of the 143 number of lesions, and in all instances, the matching cancer shared the same fusion pattern. Sixty percent of TMPRSS2-ERG fusion prostate cancer had fusion-negative HGPIN. Conclusions: Given the more aggressive nature of TMPRSS2-ERG prostate cancer, the findings of this study raise the possibility that gene fusion-positive HGPIN lesions are harbingers of more aggressive disease. To date, pathologic, molecular, and clinical variables do not help stratify which men with HGPIN are at increased risk for a cancer diagnosis. Our results suggest that the detection of isolated TMPRSS2-ERG fusion HGPIN would improve the positive predictive value of finding TMPRSS2-ERG fusion prostate cancer in subsequent biopsies.

Prostate cancer (PCA) is one of the most prevalent cancers and a major leading cause of morbidity and mortality in the Western world. The TMPRSS2-ERG fusion was recently identified as a common recurrent chromosomal aberration in this malignancy. In our study, we interrogated a broad spectrum of benign, precursor, and malignant prostatic lesions to assess the TMPRSS2-ERG fusion status using a multicolor interphase fluorescence in situ hybridization assay. Samples from hospital-based cohorts consisted of 237 clinically localized PCA, 34 hormone naive metastases, 9 hormone refractory metastases, 26 high grade prostatic intraepithelial neoplasia lesions, 15 samples of benign prostatic hyperplasia, 38 of proliferative inflammatory atrophy, and 47 of benign prostatic tissue. The TMPRSS2-ERG fusion was present in 48.5% of clinically localized PCA, 30% of hormone naive metastases, 33% of hormone refractory metastases, and in 19% of high grade prostatic intraepithelial neoplasia lesions in intermingling to cancer foci. Almost all these fusion positive cases show a homogenous distribution of the fusion pattern. In contrast, none of the other samples harbored this genetic aberration. If we consider the high incidence of PCA and the high frequency of this gene fusion, TMPRSS2-ERG is the most common genetic aberration so far described in human malignancies. Furthermore, its clinical application as a biomarker and ancillary diagnostic test is promising given its high specificity.

The insulin-like growth factor (IGF)-1 receptor is currently being targeted in clinical trials in prostate cancer. Despite this targeting, there are conflicting data on the presence of this receptor in human tumor samples, largely because of differences in technique.Immunohistochemistry was used to determine the presence of IGF-1 receptor in frozen normal prostate and prostate cancer specimens. Clinical and pathologic parameters were correlated with IGF-1 receptor intensity and frequency of staining. Only 2-3+ staining on a scale of 0-3 was considered positive in this evaluation.IGF-1 receptor was expressed in normal prostate epithelium in 6 of 6 patients without cancer and in morphologically normal epithelium adjacent to tumor cells in 21 of 22 patients with cancer studied. IGF-1 receptor was present in the prostate tumor epithelium of 28 of 28 primary tumors, 3 of 5 locally recurrent androgen-independent tumors, and in 4 of 5 metastatic lymph nodes. Stromal staining patterns were positive in 2 of 28 specimens near benign epithelium compared to 19 of 30 specimens of stroma surrounding tumor epithelium (P0.0001, Fisher exact test). Stroma adjacent to Gleason gradeor=7 tumors showed higher intensity staining than that adjacent to lower grade tumors (P0.001). Expression of the closely related insulin receptor did not show expression in either normal or cancer epithelium, or in adjacent stroma.This study using frozen tissue shows widespread IGF-1 receptor expression in normal prostate, prostate cancers, and metastases. These data support investigations into IGF-1 receptor as a therapeutic target in prostate cancer.

Distinguishing between patients with early stage, screen detected prostate cancer who must be treated from those that can be safely watched has become a major issue in prostate cancer care. Identification of molecular subtypes of prostate cancer has opened the opportunity for testing whether biomarkers that characterize these subtypes can be used as biomarkers of prognosis. Two established molecular subtypes are identified by high expression of the ERG oncoprotein, due to structural DNA alterations that encode for fusion transcripts in approximately ½ of prostate cancers, and over-expression of SPINK1, which is purportedly found only in ERG-negative tumors. We used a multi-institutional prostate cancer tissue microarray constructed from radical prostatectomy samples with associated detailed clinical data and with rigorous selection of recurrent and non-recurrent cases to test the prognostic value of immunohistochemistry staining results for the ERG and SPINK1 proteins. In univariate analysis, ERG positive cases (419/1067; 39%) were associated with lower patient age, pre-operative serum PSA levels, lower Gleason scores (≤ 3+4=7) and improved recurrence free survival (RFS). On multivariate analysis, ERG status was not correlated with RFS, disease specific survival (DSS) or overall survival (OS). High-level SPINK1 protein expression (33/1067 cases; 3%) was associated with improved RFS on univariate and multivariate Cox regression analysis. Over-expression of either protein was not associated with clinical outcome. While expression of ERG and SPINK1 proteins was inversely correlated, it was not mutually exclusive since 3 (0.28%) cases showed high expression of both. While ERG and SPINK1 appear to identify discrete molecular subtypes of prostate cancer, only high expression of SPINK1 was associated with improved clinical outcome. However, by themselves, neither ERG nor SPINK1 appear to be useful biomarkers for prognostication of early stage prostate cancer.

randomization codes were decoded at study completion. Appropriate statistical tests were applied. RESULTS: Of 96 patients, 89 were randomized, and 82 completed the study, 41 in each group. Demographic profile, baseline IIEF-5 score and FMD % were comparable. Post-treatment there were significant improvements in IIEF-5 score (Pre vs Post treatment; Tadalafil: 11.4 3.2vs 15.9 3.7, p

Tamara L. Lotan*, Baltimore, MD; Wei Wei, Houston, TX; Carlos L. Morais, Baltimore, MD; Ziding Feng, Houston, TX; Sarah Hawley, Baltimore, MD; Ladan Fazli, Antonio Hurtado-Coll, Vancouver, Canada; Dean Troyer, Fairfax, VA; Jesse McKenney, Cleveland, OH; Jeff Simko, San Francisco, CA; Lawrence True, Seattle, WA; James D. Brooks, CAnary Pathology Team Investigating Tissue Biomarkers (CAPIT), Palo Alto, CA

Much work has been done to develop tumor-targeting antibodies by selecting a phage antibody library on cancer cell lines. However, when tumor cells are removed from their natural environment, they may undergo genetic and epigenetic changes yielding different surface antigens than those seen in actual cases of cancer. We developed a strategy that allows selection of phage antibodies against tumor cells in situ on both fresh frozen and paraffin-embedded tissues using laser capture microdissection. By restricting antibody selection to binders of internalizing epitopes, we generated a panel of phage antibodies that target clinically represented prostate cancer antigens. We identified ALCAM/MEMD/CD166, a newly discovered prostate cancer marker, as the target for one of the selected antibodies, demonstrating the effectiveness of our approach. We further conjugated two single chain Fv fragments to liposomes and demonstrated that these nanotargeting devices were efficiently delivered to the interior of prostate cancer cells. The ability to deliver payload intracellularly and to recognize tumor cells in situ makes these antibodies attractive candidates for the development of targeted cancer therapeutics.

Tissue recombinants (TRs) composed of mouse urogenital mesenchyme (mUGM) plus an immortalized nontumorigenic human prostatic epithelial cell line (BPH-1) were grown under the kidney capsule of male athymic nude mice under different hormonal conditions. The objectives were to determine temporal plasma concentrations of testosterone (T) and estradiol-17beta (E2) that elicit progression of nontumorigenic human prostatic epithelial cells in vivo. Second, to determine whether mUGM+BPH-1 TRs in [T+E2]-treated hosts could progress to metastases. Control mouse hosts received no exogenous hormonal support, whereas treated mice received Silastic implants containing T and E2 for 1-4 months. Plasma from hormonally treated mice contained significantly higher (p < 0.01) concentrations of T at 1 month (11.7 vs. 0.9 ng/ml). Plasma levels of E2 in steroid implanted mice were significantly higher (p < 0.05) at 2 months (104.5 vs. 25.6 ng/l) and 4 months (122.8 vs. 19.2 pg/ml). Wet weights of mUGM+BPH-1 TRs from [T+E2]-implanted mice were significantly larger (p < 0.001) than those from untreated hosts. Untreated mUGM+BPH-1 TRs contained a well organized differentiated epithelium surrounded by smooth muscle stroma similar to developing prostate. In [T+E2]-implanted mice, mUGM+BPH-1 TRs formed carcinomas that contained a fibrous connective tissue stroma permeating the tumor; smooth muscle when present was associated with vasculature. Renal lymph nodes collected from [T+E2]-treated mice, but not untreated mice, contained metastatic carcinoma cells. Moreover, metastases could be observed at distant sites including lung and liver. Epithelial cells isolated from untreated mUGM+BPH-1 TRs exhibited benign histology and formed small nontumorigenic grafts when subsequently transplanted into athymic nude mice. In contrast, epithelial cells isolated from mUGM+BPH-1 tumors of [T+E2]-treated hosts formed large tumors that grew independent of stromal and hormonal support and developed lymph node metastases. We conclude that [T+E2]-treatment promotes prostatic cancer progression in mUGM+BPH-1 TRs. Use of mUGM in this system will allow future studies to utilize the power of mouse genetics to identify paracrine factors involved in human prostatic carcinogenesis.

There are many factors impacting stage migration for prostate cancer. The number of prostate core biopsies is known to increase detection of prostate cancers. It is still unknown whether the number of biopsies is an independent predictor of tumor size. This is important as a number of studies show that tumor volume is an independent predictor of cancer progression.Using the University of California, San Francisco Urologic Oncology database, a retrospective review of 378 patients undergoing radical prostatectomy by a single surgeon during 2000 to 2003 was performed. Patient and tumor specific variables including age, prostate specific antigen (PSA), number of biopsies, biopsy Gleason grade, tumor volume in the surgical specimen and surgical specimen tumor grade were studied. Univariate and multivariate statistical methods including multiple and logistic regression were used to characterize patients by the number of biopsy cores. Tests of significance to identify predictors of tumor size were based on the partial F statistic and the likelihood ratio test.A total of 317 eligible patients were studied, of whom 119 had 6 biopsies and 198 had more than 6 biopsies. The 2 groups of patients were evenly matched in terms of age, PSA and Gleason sum, with no statistically significant differences observed. On univariate analysis, mean tumor volume was larger for patients receiving 6 core biopsies vs greater than 6 core biopsies (3.85 vs 2.04 cc, p = 0.0009). Additionally, statistically significant differences were observed when comparing median tumor volumes, as well as excluding extremely large volume tumors. On multivariate analysis the number of biopsies performed (6 vs more than 6), was an independent predictor of tumor size (p = 0.006), controlling for primary Gleason score, Gleason sum, PSA as a continuous or categorical variable, year of biopsy and year of surgery.The use of extended pattern prostate biopsy templates results in the detection of smaller volume prostate cancers, independent of PSA and Gleason grade. These biopsy templates have contributed to the downward stage migration of prostate cancer detection and may possibly contribute to the risk of over detection.

Prostate cancer is the most commonly diagnosed non-cutaneous neoplasm among American males and is the second leading cause of cancer-related death. Prostate specific antigen screening has resulted in earlier disease detection, yet approximately 30% of men will die of metastatic disease. Slow disease progression, an aging population and associated morbidity and mortality underscore the need for improved disease classification and therapies. To address these issues, we analyzed a cohort of patients using array comparative genomic hybridization (aCGH). The cohort comprises 64 patients, half of whom recurred postoperatively. Analysis of the aCGH profiles revealed numerous recurrent genomic copy number aberrations. Specific loss at 8p23.2 was associated with advanced stage disease, and gain at 11q13.1 was found to be predictive of postoperative recurrence independent of stage and grade. Moreover, comparison with an independent set of metastases revealed approximately 40 candidate markers associated with metastatic potential. Copy number aberrations at these loci may define metastatic genotypes.