Diagnosis, staging, and risk stratification in prostate cancer: Utilizing diagnostic tools to avoid unnecessary therapies and side effects

Establishment of two new predictive models for prostate cancer to determine whether to require prostate biopsy when the PSA level is in the diagnostic gray zone (4-10 ng ml-1)

Our goal was to establish two new predictive models of prostate cancer to determine whether to require a prostate biopsy when the prostate-specific antigen level is in the diagnostic gray zone. A retrospective analysis of 197 patients undergoing prostate biopsy with prostate-specific antigens between 4 and 10 ng ml⁻¹ was conducted. Of these, 47 patients were confirmed to have cancer, while the remaining 150 patients were diagnosed with benign prostate disease after examining biopsy pathology. Two multivariate logistic regression models were established including age, prostate volumes, free/total prostate-specific antigen ratio, and prostate-specific antigen density using SPSS 19.0 to obtain the predicted probability and Logit P, and then, two receiver operating characteristic (ROC) curves were drawn to obtain the best cutoff value for prostate biopsy: one for the group of all the prostate cancers and one for the group of clinically significant prostate cancers. The best cutoff value for prostate biopsy was 0.25 from the multivariate logistic regression ROC curve model of all the prostate cancers, which gave a sensitivity of 75.4% and a specificity of 75.8%. The best cutoff value for prostate biopsy was 0.20 from the multivariate logistic regression model of clinically significant prostate cancers, which gave a sensitivity of 76.7% and a specificity of 80.1%. We identified the best cutoff values for prostate biopsy (0.25 for all prostate cancers and 0.20 for clinically significant prostate cancers) to determine whether to require prostate biopsy when the PSA level is in the diagnostic gray zone.

Cancer stem cell and mesenchymal cell cooperative actions in metastasis progression and hormone resistance in prostate cancer: Potential role of androgen and gonadotropin‑releasing hormone receptors (Review)

Prostate cancer (PCa) is the leading cause of male cancer‑associated mortality worldwide. Mortality is associated with metastasis and hormone resistance. Cellular, genetic and molecular mechanisms underlying metastatic progression and hormone resistance are poorly understood. Studies have investigated the local effects of gonadotropin‑releasing hormone (GnRH) analogs (used for androgen deprivation treatments) and the presence of the GnRH receptor (GnRH‑R) on PCa cells. Furthermore, cell subpopulations with stem‑like properties, or cancer stem cells, have been isolated and characterized using a cell culture system derived from explants of human prostate tumors. In addition, the development of preclinical orthotopic models of human PCa in a nonobese diabetic/severe combined immunodeficiency mouse model of compromised immunity has enabled the establishment of a reproducible system of metastatic progression in vivo. There is increasing evidence that metastasis is a complex process involving the cooperative actions of different cancer cell subpopulations, in which cancer stem‑like cells would be responsible for the final step of colonizing premetastatic niches. It has been hypothesized that PCa cells with stemness and mesenchymal signatures act cooperatively in metastatic progression and the inhibition of stemness genes, and that overexpression of androgen receptor (AR) and GnRH‑R decreases the rate the metastasis and sensitizes tumors to hormone therapy. The aim of the present review is to analyze the evidence regarding this cooperative process and the possible influence of stem‑like cell phenotypes, AR and GnRH‑R in metastatic progression and hormone resistance. These aspects may represent an important contribution in the understanding of the mechanisms underlying metastasis and hormone resistance in PCa, and potential routes to blocking these processes, enabling the development of novel therapies that would be particularly relevant for patients with metastatic and castration‑resistant PCa.

Prostate cancer survival in the United States by race and stage (2001-2009): Findings from the CONCORD-2 study

BACKGROUND

The 5-year relative survival for prostate cancers diagnosed between 1990 and 1994 in the United States was very high (92%); however, survival in black males was 7% lower compared with white males. The authors updated these findings and examined survival by stage and race.

METHODS

The authors used data from the CONCORD-2 study for males (ages 15-99 years) who were diagnosed with prostate cancer in 37 states, covering 80% of the US population. Survival was adjusted for background mortality (net survival) using state-specific and race-specific life tables and was age-standardized. Data were presented for 2001 through 2003 and 2004 through 2009 to account for changes in collecting SEER Summary Stage 2000.

RESULTS

Among the 1,527,602 prostate cancers diagnosed between 2001 and 2009, the proportion of localized cases increased from 73% to 77% in black males and from 77% to 79% in white males. Although the proportion of distant-stage cases was higher among black males than among white males, they represented less than 6% of cases in both groups between 2004 and 2009. Net survival exceeded 99% for localized stage between 2004 and 2009 in both racial groups. Overall, and in most states, 5-year net survival exceeded 95%.

CONCLUSIONS

Prostate cancer survival has increased since the first CONCORD study, and the racial gap has narrowed. Earlier detection of localized cancers likely contributed to this finding. However, racial disparities also were observed in overall survival. To help understand which factors might contribute to the persistence of this disparity, states could use local data to explore sociodemographic characteristics, such as survivors' health insurance status, health literacy, treatment decision-making processes, and treatment preferences. Cancer 2017;123:5160-77. Published 2017. This article is a U.S. Government work and is in the public domain in the USA.