Citations

This study assessed the patterns of nonhospice health care utilization among 207 deceased cancer patients and focused on outcomes after cancer treatment was stopped. A total of 117 (57%) were enrolled in hospice. The mean cumulative number of emergency department visits, hospitalizations, or other noncancer clinic visits (standard deviation) among those enrolled and not enrolled in hospice was 1.8 (± 1.8) and 3.11 (± 3.0), respectively ( P < .0001). Among hospice enrollees, the mean cumulative visits (standard deviation) was 1.29 (± 1.7) and 0.5 (± 1.0) before and after enrollment, respectively ( P < .0001). For patients who eventually enrolled, the rates of nonhospice health care visits (visits per week) yielded a trend to suggest a decline ( P = .054). Hospice was associated with a drop in nonhospice-related health care utilization, thus suggesting it provides timely medical interventions and favorable continuity of care.

ScopeAndrogen receptor (AR) signaling is critical for all aspects of prostate growth and tumorigenesis. The glucosinolate‐derived phenethyl isothiocyanate (PEITC) has recently been demonstrated to reduce the risk of prostate cancer (PCa) and inhibit PCa cell growth. We previously reported that p300/CBP‐associated factor (PCAF), a co‐regulator for AR, is upregulated in PCa cells through suppression of the mir‐17 gene. Here, we assessed the effects of PEITC on PCAF expression and AR‐regulated transcriptional activity in PCa cells.Methods and resultsUsing AR‐responsive LNCaP cells, we observed the inhibitory effects of PEITC on the dihydrotestosterone‐stimulated AR transcriptional activity and cell growth of PCa cells. Interestingly, overexpression of PCAF attenuated the inhibitory effects of PEITC on dihydrotestosterone‐stimulated AR transcriptional activity. Expression of PCAF was upregulated in PCa cells through suppression of miR‐17. PEITC treatment significantly decreased PCAF expression and promoted transcription of miR‐17 in LNCaP cells. Functional inhibition of miR‐17 attenuated the suppression of PCAF in cells treated by PEITC.ConclusionOur results indicate that PEITC inhibits AR‐regulated transcriptional activity and cell growth of PCa cells through miR‐17‐mediated suppression of PCAF, suggesting a new mechanism by which PEITC modulates PCa cell growth.

Abstract Introduction: Multivariable models that predict biochemical recurrence (BCR) can indicate patients at higher risk for developing clinical progression after prostatectomy. However, most patients that experience BCR do not metastasize or die from prostate cancer, making BCR an unreliable surrogate endpoint. In this study we compared the clinical and genomic characteristics of prostatectomy patients in order to better delineate the relationship between BCR and aggressive prostate cancer. Methods: Postoperative patients were retrospectively classified into three outcome groups: NED (no evidence of disease recurrence); BCR-only (patients that experienced BCR but didn't have progressive disease as evidenced by bone or CT scans); and CP (clinical progression with BCR plus positive CT or bone scans). Patient specimens were from the Mayo Clinic Radical Prostatectomy Registry, selected using a nested case-control design with 14 years median follow-up. RNA expression levels from FFPE tumor specimens were measured with 1.4 million feature whole-transcriptome oligonucleotide microarrays on 106 matching patients from each outcome group (total 318 patients). We analyzed the clinical covariates of the outcome groups in a pairwise manner (NED vs. BCR-only; NED vs. CP; CP vs. BCR-only), using a conditional logistic model in univariable and multivariable analyses. We performed feature reduction for the genomic data set using Kruskal-Wallis tests and regularized logistic regression. Principal Component Analysis (PCA) was used to quantify the variance of the genomic data with respect to the patient outcome groups. Results: Our initial hypothesis was that all three outcome groups would have different clinical and genomic characteristics. Univariable analysis of clinical variables failed to show statistically significant differences between NED and BCR-only groups. Multivariable analysis of the clinical variables also failed to show statistically significant differences between NED and BCR-only groups. Among the clinical variables only pathological Gleason score was statistically significant when comparing the BCR-only vs. CP and NED vs. CP groups. Genomic analysis found 363 coding and non-coding features that passed thresholds for differential expression between the three outcome groups. PCA established that the primary source of variance in the genomic data stemmed from the separation of CP from NED and BCR-only patients; whereas only a small amount of variance separates NED and BCR-only groups. The 363 features were further compared in the three outcome groups using Wilcoxon tests, adjusting for false-discovery using Benjamini-Hochberg. At a cutoff of p &lt; 0.001 there were no features differentially expressed between NED and BCR-only, while 52 and 34 statistically significant features were found in the NED vs. CP and CP vs. BCR-only comparisons, respectively. Conclusion: Considering the clinical and genomic results together, we find that: 1) Patients that developed clinical progression were significantly different from those that did not, irrespective of whether they experienced BCR or not; 2) the NED and BCR-only groups were statistically very similar to each other. We therefore conclude that BCR may not be the most appropriate endpoint for predictive models that attempt to stratify patients at risk for progression. This abstract is also presented as Poster B44. Citation Format: Anamaria Crisan, Elai Davicion, R. Jeffery Karnes, Robert B. Jenkins, Mercedeh H. Ghadessi, Christine Buerki, Eric J. Bergstrahl, Nicholas Erho, Ismael A. Vergara, Karla V. Ballman, Peter C. Black, Timothy J. Triche. Biochemical recurrence is not a definitive surrogate endpoint for development of clinically useful predictive models for post-prostatectomy patients [abstract]. In: Proceedings of the AACR Special Conference on Advances in Prostate Cancer Research; 2012 Feb 6-9; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2012;72(4 Suppl):Abstract nr PR4.

Abstract Tumor-associated hypoxia has been associated with malignant progression, metastasis and resistance to therapy. We studied the role of oxygen tension (pO2) in modulating the properties of cultured human prostate cancer (CaP) cells. In air, where oxygen tension (pO2) is approximately 20 kPa, cultured CaP cells expressed lower levels of transcripts associated with cancer and urologic disease; reducing pO2 to 2 kPa made these levels comparable to those in surgical CaP specimens suggesting that hypoxically cultured cells, rather than normoxically cultured cells, express genes at levels akin to those in tumor cells in situ. In human primary CaP tissue, transcripts of hypoxia-associated genes DLG7, CCNB1 and HMMR were overexpressed and associated with Gleason score and disease prognosis; this implies the potential prognostic value of these transcripts. While hypoxia affected the CaP cell proteome mostly quantitatively, it did affect expression of tumor–associated antigens and suggested the potential therapeutic relevance of the hypoxic antigenic landscape. Overall, our results suggest that hypoxia modifies cellular properties of cultured CaP cells towards a phenotype more similar to tumor cells in situ. Introduction of pO2 as a variable can constitute a tool for the identification of more effective prognostic biomarkers and development of better therapy for CaP and, possibly, other tumors. Citation Format: Christian R. Gomez, Stanimir Vuk-Pavlovic, Farhad Kosari, Jan Marie Munz, Claire Schreiber, Gaylord Knutson, Cristine Charlesworth, R. Jeffrey Karnes, John Cheville, George Vasmatzis. Prognostic value of hypoxia-associated genes in prostate cancer [abstract]. In: Proceedings of the AACR Special Conference on Advances in Prostate Cancer Research; 2012 Feb 6-9; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2012;72(4 Suppl):Abstract nr C43.

Abstract Motivations: Gleason score is the most prognostic variable in prostate cancer pathology. Patients with high Gleason (8+) are the most likely to experience biochemical recurrence (BCR), clinical progression (CP) and prostate-cancer specific mortality (PCSM), whereas patients with Gleason ≤6 are expected to have excellent long-term outcomes. However, the majority of prostate cancer patients are diagnosed with Gleason score 7, a heterogeneous group in terms of patient outcomes. In the absence of adverse pathological factors (APF, such as preoperative PSA, SM+, ECE and SVI) most Gleason 7 patients will have excellent outcomes. In contrast, Gleason 7 patients with APF are considered at high-risk for recurrence and therefore are candidates for adjuvant therapy. In this study, we have investigated whether a classifier based on differentially expressed genomic features could be used to improve prognostication of Gleason 7 patients, independent of APF. Methods: Two whole-transcriptome (1.4 million feature) oligonucleotide microarray expression datasets from radical prostatectomy specimens were analyzed. The first one (GEO accession: GSE21032) consisted of 125 fresh frozen (FF) samples from the MSKCC Oncogenome Project and the second dataset had 545 formalin-fixed-paraffin- embedded (FFPE) samples from the Mayo Clinic tumor registry. For genomic feature selection, differential expression in the FF dataset between Gleason ≤6 (n=40) and ≥8 (n=15) was assessed with false discovery rate adjusted t-tests (p&lt;0.05). Next, a k-nearest neighbor (KNN) classifier was trained and tuned using the selected features to predict clinical progression (i.e., positive bone or CT scans after BCR) in the FFPE dataset, again using samples with Gleason score ≤6 (n=63) and ≥8 (n=211). The KNN classifier was evaluated on Gleason score 7 (n=209) FFPE samples (not used for training) using multivariable logistic regression. Results: The KNN classifier segregated the Gleason 7 samples into high and low risk CP groups. The KNN odds ratios were 2.9 (p&lt;0.005), 2.1 (p&lt;0.05) and 2.8 (p&lt;0.05) for BCR, CP and PCSM end-points, respectively when comparing high and low risk groups. Multivariable analysis revealed that the KNN classifier was independently prognostic. Conclusions: A KNN classifier developed using differentially expressed genomic features significantly stratified Gleason score 7 patients for several clinically relevant endpoints. Future validation studies will address the utility of this classifier in predicting pathological Gleason score from biopsy specimens, which may be particularly useful for evaluation of biopsy Gleason 6 cases. In these patients, deferring prostatectomy in favour of active surveillance is an appealing treatment option unless the ‘true’ Gleason of the index lesion is in fact a Gleason 7 or higher, where immediate surgery is likely a life-saving procedure. Citation Format: Nicholas Erho, Thomas Sierocinski, Elai Davicioni, Robert B. Jenkins, Mercedeh Gadhessi, Christine Buerki, Ismael A. Vergara, Anamaria Crisan, Zaid Haddad, Benedikt Zimmermann, Anirban Mitra, Timothy J. Triche. Identification of biomarkers for stratification of Gleason score 7 patients using whole-transcriptome expression profiling [abstract]. In: Proceedings of the AACR Special Conference on Advances in Prostate Cancer Research; 2012 Feb 6-9; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2012;72(4 Suppl):Abstract nr B46.

Abstract Recently, we have identified serum response factor (SRF) as a mediator of clinically relevant androgen receptor (AR) action in prostate cancer (PCa). Genes that rely on SRF for androgen-responsiveness represent a small fraction of androgen-regulated genes, but distinguish benign from malignant prostate and correlate with aggressive disease. Moreover, the SRF-AR expression signature is associated more strongly with biochemical recurrence than similarly sized sets of AREdriven AR target genes. Thus, understanding the mechanism(s) by which SRF conveys androgen effects to its target genes may provide novel opportunities to target clinically relevant androgen signaling. Here, we explore the role of the RhoA signaling axis, a well-known activating pathway upstream of SRF, in androgen activation of SRF action. PCa cells were treated with inhibitors of RhoA signaling or transfected with siRNAs targeting RhoA, the critical SRF cofactor MAL or control siRNAs in the presence or absence of the synthetic androgen R1881. Real-time RT-PCR and western blotting was done to assess effects on expression of SRF target genes. Cell fractionation experiments evaluated the cellular localization of AR, MAL and SRF. ChIP was performed to assess recruitment of MAL to SRF target genes. Wild-type, dominant-active and dominant-negative versions of RhoA were overexpressed to determine effects on androgen regulation of SRF target genes. Immunohistochemistry was done to evaluate RhoA expression in clinical PCa samples and a tissue microarray derived from a CWR22 PCa xenograft model that mimics progression from androgen-stimulated (AS) to castration-recurrent (CR) disease. Effects on AS and CR PCa cell biology were assessed using proliferation and migration assays. Here, we show that the small GTPase RhoA mediates androgen responsiveness of more than half of SRF target genes tested. Interference with expression of RhoA, activity of the RhoA effector RhoA-associated kinase (ROCK), and actin polymerization necessary for nuclear translocation of the SRF cofactor MAL, all prevented full androgen-regulation of SRF target genes. Androgen treatment increased the nuclear content of MAL and led to MAL recruitment to the promoter of the SRF target gene FHL2. Moreover, in clinical specimens RhoA expression was higher in PCa cells than benign prostate cells, and elevated RhoA expression levels were associated with aggressive disease features and decreased disease-free survival following radical prostatectomy. Overexpression of RhoA markedly increased the androgen responsiveness of select SRF target genes, in a manner that depends on its GTPase activity. Cell lines and a xenograft model that mimics the transition from AS to CR PCa indicate that RhoA levels are not altered during disease progression, suggesting that RhoA expression levels in the primary tumor determine disease aggressiveness. Silencing of RhoA, use of ROCK inhibitors or an inhibitor of SRF-MAL interaction blunted (androgen-regulated) cell viability and attenuated AS and CR PCa cell migration. Taken together, our work demonstrates that the RhoA signaling axis mediates clinically relevant AR action in PCa. In addition, these studies are the first to report on overexpression of RhoA in PCa and its association with aggressive disease and poor outcome. Note: This abstract was not presented at the conference because the presenter was unable to attend. Citation Format: Lucy Schmidt, Thomas Sebo, Donald Tindall, Hannelore Heemers, Kelly Duncan, Neelu Yadav, Kevin Regan, Christine Lohse, Elena Pop, Kristopher Attwood, Gregory Wilding, James Mohler. Androgen regulation of SRF target genes in prostate cancer cells is mediated in part by the small GTPase RhoA [abstract]. In: Proceedings of the AACR Special Conference on Advances in Prostate Cancer Research; 2012 Feb 6-9; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2012;72(4 Suppl):Abstract nr A8.