Diagnosis and management of prostate cancer in the older man

2010 ◽  
Vol 20 (3) ◽  
pp. 193-204
Author(s):  
SRC McCracken ◽  
GC Durkan ◽  
RS Pickard ◽  
CN Robson

SummaryProstate cancer is the most common malignancy and the second leading cause of cancer death, in men, in western countries. Prostate cancer is diagnosed in very few people aged younger than 50 years (<0.1% of all patients). The mean age of patients with this disorder is 72–74 years. Most men aged older than 85 years have histological prostate cancer. Androgen deprivation reduces tumour activity in approximately 80% of patients with advanced disease, but most tumours relapse within 2 years to an incurable castrate-resistant state. Treatment options for patients with castrate-resistant prostate cancer are very limited and, even with toxic therapy, such as docetaxel, the life expectancy is only improved by a median of 2 months. Hence earlier diagnosis and improved treatments for prostate cancer are urgently required. Novel drugs, such as Abiratorone acetate and MDV-3100 have shown promise in pre-clinical and early clinical trials, and a number are now in phase III clinical trials, alone or in combination with docetaxel.

F1000Research ◽  
2017 ◽  
Vol 5 ◽  
pp. 2676 ◽  
Author(s):  
Sebastian Pölsterl ◽  
Pankaj Gupta ◽  
Lichao Wang ◽  
Sailesh Conjeti ◽  
Amin Katouzian ◽  
...  

Ensemble methods have been successfully applied in a wide range of scenarios, including survival analysis. However, most ensemble models for survival analysis consist of models that all optimize the same loss function and do not fully utilize the diversity in available models. We propose heterogeneous survival ensembles that combine several survival models, each optimizing a different loss during training. We evaluated our proposed technique in the context of the Prostate Cancer DREAM Challenge, where the objective was to predict survival of patients with metastatic, castrate-resistant prostate cancer from patient records of four phase III clinical trials. Results demonstrate that a diverse set of survival models were preferred over a single model and that our heterogeneous ensemble of survival models outperformed all competing methods with respect to predicting the exact time of death in the Prostate Cancer DREAM Challenge.


F1000Research ◽  
2016 ◽  
Vol 5 ◽  
pp. 2676 ◽  
Author(s):  
Sebastian Pölsterl ◽  
Pankaj Gupta ◽  
Lichao Wang ◽  
Sailesh Conjeti ◽  
Amin Katouzian ◽  
...  

Ensemble methods have been successfully applied in a wide range of scenarios, including survival analysis. However, most ensemble models for survival analysis consist of models that all optimize the same loss function and do not fully utilize the diversity in available models. We propose heterogeneous survival ensembles that combine several survival models, each optimizing a different loss during training. We evaluated our proposed technique in the context of the Prostate Cancer DREAM Challenge, where the objective was to predict survival of patients with metastatic, castrate-resistant prostate cancer from patient records of four phase III clinical trials. Results demonstrate that a diverse set of survival models were preferred over a single model and that our heterogeneous ensemble of survival models outperformed all competing methods with respect to predicting the exact time of death in the Prostate Cancer DREAM Challenge.


F1000Research ◽  
2017 ◽  
Vol 5 ◽  
pp. 2676 ◽  
Author(s):  
Sebastian Pölsterl ◽  
Pankaj Gupta ◽  
Lichao Wang ◽  
Sailesh Conjeti ◽  
Amin Katouzian ◽  
...  

Ensemble methods have been successfully applied in a wide range of scenarios, including survival analysis. However, most ensemble models for survival analysis consist of models that all optimize the same loss function and do not fully utilize the diversity in available models. We propose heterogeneous survival ensembles that combine several survival models, each optimizing a different loss during training. We evaluated our proposed technique in the context of the Prostate Cancer DREAM Challenge, where the objective was to predict survival of patients with metastatic, castrate-resistant prostate cancer from patient records of four phase III clinical trials. Results demonstrate that a diverse set of survival models were preferred over a single model and that our heterogeneous ensemble of survival models outperformed all competing methods with respect to predicting the exact time of death in the Prostate Cancer DREAM Challenge.


2013 ◽  
Vol 7 ◽  
pp. CMO.S11670 ◽  
Author(s):  
Joelle El-Amm ◽  
Nihar Patel ◽  
Ashley Freeman ◽  
Jeanny B. Aragon-Ching

Enzalutamide, previously known as MDV300, is an oral, second-generation androgen receptor (AR) signaling inhibitor or antagonist that was approved by the Food and Drug Administration in 2012 for the treatment of metastatic castrate-resistant prostate cancer (mCRPC) postdocetaxel. Preclinical studies have demonstrated impressive affinity to the AR compared to the first-generation AR inhibitors. The landmark Phase III AFFIRM trial demonstrated improved overall survival benefit compared to placebo in addition to improvement in all tested parameters. Enzalutamide is currently being studied in several trials prechemotherapy and in earlier settings of prostate cancer. This review will discuss the mechanism of action of enzalutamide, its pharmacokinetics, the preclinical and clinical trials that led to its approval, the ongoing clinical trials, its safety and efficacy, as well as patterns of resistance, and discusses its place in therapy within the context of several recently approved agents for mCRPC.


2018 ◽  
Vol 10 (12) ◽  
pp. 445-454 ◽  
Author(s):  
Vadim S. Koshkin ◽  
Eric J. Small

Apalutamide (ARN-509) is a second-generation androgen receptor (AR) antagonist that was developed to inhibit AR-mediated prostate cancer cell proliferation. Following the initial promising clinical efficacy results in phase I and II clinical trials of patients with metastatic castrate-resistant prostate cancer (CRPC), apalutamide has been investigated in several phase III trials. Particular interest has focused on the development of effective therapy for the prevention of disease progression in patients with nonmetastatic (nm or M0) CRPC, especially patients who have a rapid prostate-specific antigen (PSA) doubling time that is indicative of shorter bone metastasis-free survival and associated with significant morbidity and mortality. The results from the phase III SPARTAN trial were recently published and reported a significant benefit of apalutamide relative to placebo in patients with nmCRPC and a high risk of metastatic progression. The study noted marked improvement in the primary endpoint of metastasis-free survival as well as several relevant secondary clinical endpoints, including time to symptomatic progression. These results led to the United States Food and Drug Administration (US FDA) approval of apalutamide in the nmCRPC setting in February 2018. This review summarizes the clinical development of apalutamide, culminating with the pivotal SPARTAN trial as well as other phase III trials which may further expand potential indications for this agent in the near future.


2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 54-54
Author(s):  
Morgan Goujon ◽  
Amelie Anota ◽  
Alexandre Frontczak ◽  
Emilie Charton ◽  
Tristan Maurina ◽  
...  

54 Background: A potential link between Health-Related Quality of life (HRQoL) and oncologic outcomes such as overall survival or progression-free survival has been underlined for endocrine therapies in patients with metastatic castrate resistant prostate cancer (mCRPC). Other surrogates such as circulating tumor cells (CTCs) or PSA can be used to evaluate disease control. This study explored the associations between HRQoL and biological biomarkers for patients with mCRPC treated by abiraterone / prednisone or prednisone within registration phase III trial COU-AA-301. Methods: Baseline differences of HRQoL evaluated with FACT-P total score (FACT-P TS) according to biological parameters (including CTCs and PSA) and links between HRQoL's change and variations of these parameters were assessed. The primary objective was to estimate the association between improvement or deterioration in FACT-P TS and the variations of CTCs and PSA. All analyses were conducted using clinically meaningful improvement and deterioration in FACT-P TS and subscales. Results: Among 1130 patients enrolled, 1111 (98.3%) had a baseline FACT-P TS available. At baseline, a favorable CTCs count was associated with higher FACT-P TS compared to unfavorable CTCs (difference in means 8 points, [95% CI, 4 to 12] p < 0.001). At 3 months, there were differences in mean change from baseline FACT-P TS favoring patients with biomarkers response, with clinically meaningful difference for CTCs (12.7 points, [95% CI, 6 to 19.5%] p < 0.001) and PSA (11.64 points, [95% CI, 9.3 to 14] p < 0.0001). Biological progression was associated with higher risk of FACT-P TS worsening for PSA (Odds Ratio (OR) 2.8 [95% CI, 1.9 to 4.2]) with more frequent FACT-P TS improvement in case of response for CTCs (OR 3.14 [95% CI, 1.3 to 7.7]) and PSA (OR 2.9 [95% CI 2.1 to 4]). Significantly longer time until definitive deterioration was observed for patients with CTCs or PSA response (p < 0.001) and shorter time in case of progression (p < 0.001). Conclusions: QUA-lify is the first study to show an association between HRQoL and biomarkers outcomes in patients with mCRPC treated with endocrine therapy in a post-taxane setting. This concept is reinforced by the consistency of the association for all analyses carried out.


2007 ◽  
Vol 89 (3) ◽  
pp. 207-211 ◽  
Author(s):  
JF Thorpe ◽  
S Jain ◽  
TH Marczylo ◽  
AJ Gescher ◽  
WP Steward ◽  
...  

INTRODUCTION Prostate cancer is an excellent target for chemoprevention strategies; given its late age of onset, any delay in carcinogenesis would lead to a reduction in its incidence. This article reviews all the completed and on-going phase III trials in prostate cancer chemoprevention. PATIENTS AND METHODS All phase III trials of prostate cancer chemoprevention were identified within a Medline search using the keywords ‘clinical trial, prostate cancer, chemoprevention’. RESULTS In 2003, the Prostate Cancer Prevention Trial (PCPT) became the first phase III clinical trial of prostate cancer prevention. This landmark study was terminated early due to the 24.8% reduction of prostate cancer prevalence over a 7-year period in those men taking the 5α-reductase inhibitor, finasteride. This article reviews the PCPT and the interpretation of the excess high-grade prostate cancer (HGPC) cases in the finasteride group. The lack of relationship between cumulative dose and the HGPC cases, and the possible sampling error of biopsies due to gland volume reduction in the finasteride group refutes the suggestion that this is a genuine increase in HGPC cases. The other on-going phase III clinical trials of prostate cancer chemoprevention – the REDUCE study using dutasteride, and the SELECT study using vitamin E and selenium – are also reviewed. CONCLUSIONS At present, finasteride remains the only intervention shown in long-term prospective phase III clinical trials to reduce the incidence of prostate cancer. Until we have the results of trials using alternative agents including the on-going REDUCE and SELECT trials, the advice given to men interested in prostate cancer prevention must include discussion of the results of the PCPT. The increased rate of HGPC in the finasteride group continues to generate debate; however, finasteride may still be suitable for prostate cancer prevention, particularly in men with lower urinary tract symptoms.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 5057-5057
Author(s):  
Susan Halabi ◽  
Akash Roy ◽  
Qian Yang ◽  
Wanling Xie ◽  
William Kevin Kelly ◽  
...  

5057 Background: Radiographic progression-free survival (rPFS) is commonly used as a co-primary endpoint in randomized clinical trials in men with metastatic castrate-resistant prostate cancer (mCRPC). However, rPFS has not been established as a valid surrogate endpoint of overall survival (OS) in men with mCRPC. Here, we hypothesized that rPFS is a reliable surrogate for OS in mCRPC. We also explored whether PFS is a valid surrogate endpoint of OS at the aggregate trial level. Methods: We performed a systematic search of the literature encompassing the period January 2004-December 2020 using PubMed and clinical trials.gov to identify completed phase III trials in mCRPC post-docetaxel. Eligible trials had to be randomized phase III therapeutic trials that reported OS, PFS or rPFS. OS was measured from the date of random assignment to date of death from any cause or date of last follow-up. rPFS was defined as the time from random assignment to date of disease progression on CT and/or Tc bone scan per trial definition or death from any cause, whichever occurred first. PFS included PSA progression as a component of the composite endpoint. Trial level surrogacy was evaluated by fitting linear regression on the treatment effect of rPFS (or PFS) and OS (in other words, the weighted linear regression of the log(hazard ratio) of OS on the log(hazard ratio) of rPFS). It was pre-specified that rPFS would be considered a valid surrogate for OS if R² was 0·7 or higher. Results: We identified 33 in men with mCRPC post docetaxel approval. We assessed the association between PFS and OS in 29,456 patients from 30 trials. Overall, a moderate correlation was observed at the trial level between OS and PFS ( R2 = 0.46, 95 %CI = 0.20-0.68) in these trials. In 18 trials with 16,818 mCRPC patients where rPFS was considered as a key endpoint, a moderate correlation between the treatment effects on rPFS and OS was observed at the trial level ( R2= 0.65, 95% CI = 0.23-0.87). Conclusions: This meta-analysis demonstrates moderate correlation between treatment effects of rPFS and OS in patients with mCRPC. However, rPFS did not meet the pre-specified surrogacy threshold of 0.7. Clinical trial information: several.


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