The Comparative Outcomes of Radical Prostatectomy versus Radiotherapy for Nonmetastatic Prostate Cancer: A Longitudinal, Population-Based Analysis.

PURPOSE: The comparative effectiveness of radical prostatectomy (RP) versus radiation therapy (RT) for prostate cancer remains a largely debated topic. Utilizing a provincial population-based linked data set from an equal-access, universal health care system, we sought to compare outcomes among patients treated with either radiation or prostatectomy for nonmetastatic prostate cancer. MATERIALS AND METHODS: We performed a retrospective cohort study by linking several administrative data sets to identify patients who were diagnosed with prostate cancer between 2004 and 2016 in Manitoba, Canada and who were subsequently treated with either RP or RT. Cox proportional hazard models with inverse probability of treatment weighting were used to compare rates of all-cause mortality, as well as prostate cancer specific mortality (PCSM) between patients who underwent RP vs RT. RESULTS: During the study period, 2,540 patients underwent RP and 1,895 underwent RT for prostate cancer. Unadjusted overall survival was higher for RP vs RT (5-year overall survival 95.52% for RP compared with 84.55% for RT, p <0.0001). In inverse probability of treatment weighting-adjusted Cox regression analysis, compared to patients in the RP groups, patients in the RT group had an increased rate of all-cause mortality (HR 1.93, 95% CI 1.65-2.26, p <0.0001), and PCSM (HR 3.98, 95% CI 2.89-5.49; p <0.0001). CONCLUSIONS: RT was associated with higher all-cause mortality and PCSM rates compared with RP. These findings highlight the importance of comparative effectiveness research to identify treatment disparities and warrant further investigation.

The Association between Income Status and Treatment Selection for Prostate Cancer in a Universal Health Care System: A Population-Based Analysis.

PURPOSE: Treatment selection for localized prostate cancer is guided by risk stratification and patient preferences. While socioeconomic status (SES) disparities exist for access to care, less is known about the effect of SES on treatment decision-making. We sought to evaluate whether income status was associated with the treatment selected (radical prostatectomy [RP] vs radiation therapy [RT]) for nonmetastatic prostate cancer in a universal health care system. MATERIALS AND METHODS: All men from Manitoba, Canada who were diagnosed with nonmetastatic prostate cancer between 2005 and 2016 and subsequently treated with RP or RT were identified using a provincial cancer database. SES was defined as neighborhood income by postal code and divided into income quintiles (Q1-Q5, with Q1 the lowest quintile and Q5 the highest). Multivariable logistic regression nested models were used to compare whether SES was associated with treatment type received. RESULTS: We identified 3,966 individuals who were diagnosed with nonmetastatic prostate cancer and were treated with RP (2,354) or RT (1,612). After adjusting for demographic and clinicopathological characteristics, as income quintile increased, men were incrementally more likely to undergo RP than RT (range Q2 vs Q1: adjusted OR 1.40, 95% CI 1.01-1.93; Q5 vs Q1: adjusted OR 2.30, 95% CI 1.70-3.12). CONCLUSIONS: As income levels increased there was a stepwise incremental increase in the odds of receiving RP over RT for localized prostate cancer. These results may inform initiatives to better understand the values, priorities and barriers that patients experience when making treatment decisions in a universal health care system.

Plasma microRNA signature is associated with risk stratification in prostate cancer patients.

The aim of this study was to establish a unique expression profile of circulating cell-free microRNAs (miRNAs) capable of differentiating between prostate cancer (PCa) patients with high-risk and intermediate-risk Gleason scores. MiRNA expression profiles were determined in plasma samples from 79 treatment-naïve PCa patients, 1-2 follow-up samples after radical prostatectomy (RP) from 51 out of the 79 PCa patients, and 33 healthy men, using a quantitative real-time PCR-based array containing 48 selected miRNAs. We identified 27 up- and 2 downregulated plasma miRNAs in PCa patients compared with healthy men. Most of the upregulated miRNA levels were also associated with increasing PSA levels and Gleason scores. Particularly, the levels of miR-16 (p = 0.002), miR-148a (p = 0.006) and miR-195 (p = 0.006) significantly correlated with high-risk Gleason scores, whereby miR-148a (p = 0.003) was also significantly associated with increasing PSA values. The high miRNA levels before RP remained increased in the postsurgical plasma samples. Our findings show a network of deregulated plasma miRNAs. In particular, miR-16, miR-148a and miR-195 are involved in the regulation of the PI3K/Akt signaling pathway. These miRNAs may be promising therapeutic targets for high-risk PCa stratification.

DNA methylation screening of primary prostate tumors identifies SRD5A2 and CYP11A1 as candidate markers for assessing risk of biochemical recurrence.

BACKGROUND: Altered DNA methylation in CpG islands of gene promoters has been implicated in prostate cancer (PCa) progression and can be used to predict disease outcome. In this study, we determine whether methylation changes of androgen biosynthesis pathway (ABP)-related genes in patients' plasma cell-free DNA (cfDNA) can serve as prognostic markers for biochemical recurrence (BCR). METHODS: Methyl-binding domain capture sequencing (MBDCap-seq) was used to identify differentially methylated regions (DMRs) in primary tumors of patients who subsequently developed BCR or not, respectively. Methylation pyrosequencing of candidate loci was validated in cfDNA samples of 86 PCa patients taken at and/or post-radical prostatectomy (RP) using univariate and multivariate prediction analyses. RESULTS: Putative DMRs in 13 of 30 ABP-related genes were found between tumors of BCR (n = 12) versus no evidence of disease (NED) (n = 15). In silico analysis of The Cancer Genome Atlas data confirmed increased DNA methylation of two loci-SRD5A2 and CYP11A1, which also correlated with their decreased expression, in tumors with subsequent BCR development. Their aberrant cfDNA methylation was also associated with detectable levels of PSA taken after patients' post-RP. Multivariate analysis of the change in cfDNA methylation at all of CpG sites measured along with patient's treatment history predicted if a patient will develop BCR with 77.5% overall accuracy. CONCLUSIONS: Overall, increased DNA methylation of SRD5A2 and CYP11A1 related to androgen biosynthesis functions may play a role in BCR after patients' RP. The correlation between aberrant cfDNA methylation and detectable PSA in post-RP further suggests their utility as predictive markers for PCa recurrence. .

Two Cases of Sporadic Eosinophilic Solid and Cystic Renal Cell Carcinoma in Manitoba Population.

Two sporadic cases of eosinophilic solid and cystic renal cell carcinoma (ESC RCC), at our institution, are presented in this study to contribute to the growing literature on this novel renal neoplasm. The first patient was a 38-year-old female with two synchronous renal masses measuring 3.5 and 1.9 cm on preoperative imaging. The second patient was a 44-year-old female with an incidental renal mass measuring 4 cm. Both patients underwent uncomplicated radical nephrectomies. The 1.9 cm mass in the first patient was consistent with clear cell RCC. The dominant mass in the first patient and the tumor in the second patient had microscopic and macroscopic findings in keeping with ESC RCC including a tan appearance, abundant eosinophilic cytoplasm, and CK20+ and CK7- staining. Both patients had an uncomplicated course following surgery with no evidence of local recurrence or distant metastatic disease for 1 and 2 years for the first and second patient accordingly. These cases contribute to a growing body of literature regarding ESC RCC including, to our knowledge, the first reported case of synchronous ESC RCC and clear cell RCC. Further research about this novel renal neoplasm is needed.

Advancing Risk Assessment of Intermediate Risk Prostate Cancer Patients.

The individual risk to progression is unclear for intermediate risk prostate cancer patients. To assess their risk to progression, we examined the level of genomic instability in circulating tumor cells (CTCs) using quantitative three-dimensional (3D) telomere analysis. Data of CTCs from 65 treatment-naïve patients with biopsy-confirmed D'Amico-defined intermediate risk prostate cancer were compared to radical prostatectomy pathology results, which provided a clinical endpoint to the study and confirmed pre-operative pathology or demonstrated upgrading. Hierarchical centroid cluster analysis of 3D pre-operative CTC telomere profiling placed the patients into three subgroups with different potential risk of aggressive disease. Logistic regression modeling of the risk of progression estimated odds ratios with 95% confidence interval (CI) and separated patients into "stable" vs. "risk of aggressive" disease. The receiver operating characteristic (ROC) curve showed an area under the curve (AUC) of 0.77, while prostate specific antigen (PSA) (AUC of 0.59) and Gleason 3 + 4 = 7 vs. 4 + 3 = 7 (p > 0.6) were unable to predict progressive or stable disease. The data suggest that quantitative 3D telomere profiling of CTCs may be a potential tool for assessing a patient's prostate cancer pre-treatment risk.

Filtration-based enrichment of circulating tumor cells from all prostate cancer risk groups.

OBJECTIVE: To combine circulating tumor cell (CTC) isolation by filtration and immunohistochemistry to investigate the presence of CTCs in low, intermediate, and high-risk prostate cancer (PCa). CTCs isolated from these risk groups stained positive for both cytokeratin and androgen receptors, but negative for CD45. PATIENTS AND METHODS: Blood samples from 41 biopsy confirmed patients with PCa at different clinical stages such as low, intermediate, and high risk were analyzed. The samples were processed with the ScreenCell filtration device and PCa CTCs were captured for all patients. The isolated CTCs were confirmed PCa CTCs by the presence of androgen receptors and cytokeratins 8, 18, and 19 that occurred in the absence of CD45 positivity. PCa CTC nuclear sizes were measured using the TeloView program. RESULTS: The filtration-based isolation method used permitted the measurement of the average nuclear size of the captured CTCs. CTCs were identified by immunohistochemistry in low, intermediate, and high-risk groups of patients with PCa. CONCLUSION: CTCs may be found in all stages of PCa. These CTCs can be used to determine the level of genomic instability at any stage of PCa; this will, in the future, enable personalized patient management.

Three-Dimensional Telomeric Analysis of Isolated Circulating Tumor Cells (CTCs) Defines CTC Subpopulations.

Circulating tumor cells (CTCs) have been identified with the potential to serve as suitable biomarkers for tumor stage and progression, but the availability of effective isolation technique(s) coupled with detailed molecular characterization have been the challenges encountered in making CTCs clinically relevant. For the first time, we combined isolation of CTCs using the ScreenCell filtration technique with quantitative analysis of CTC telomeres by TeloView. This resulted in the identification and molecular characterization of different subpopulations of CTCs in the same patient. Three-dimensional (3D) telomeric analysis was carried out on isolated CTCs of 19 patients that consisted of four different tumor types, namely, prostate, colon, breast, melanoma, and one lung cancer cell line. With telomeric analysis of the filter-isolated CTCs, the level of chromosomal instability (CIN) of the CTCs can be determined. Our study shows that subpopulations of CTCs can be identified on the basis of their 3D telomeric properties.