Estimates of over-time trends in incidence and mortality of prostate cancer from 1990 to 2030

Comparative Cardiovascular Risks of Radical Prostatectomy and External Beam Radiation Therapy in Early-Stage Prostate Cancer: A Comprehensive Retrospective Analysis

BACKGROUND

The risk of cardiac disease mortality has recently become a focal point of concern within the medical community for patients with prostate cancer (PCa). Given that radical prostatectomy (RP) and external beam radiation therapy (EBRT) are the main treatment modalities for localized PCa, their specific impact on cardiovascular-specific mortality (CSM) remains unclear. This study explored the specific effects of RP and EBRT on CSM risk to guide clinical treatment decisions.

METHODS

Data from patients aged 45-74 years, who were diagnosed with T1-2N0M0 stage PCa from the SEER database (2010-2015), were used. Multivariate statistical methods, including propensity score matching (PSM), competing risk regression, COX regression analysis, and Fine-Gray testing, were applied to assess the impact of RP and EBRT on CSM risk.

RESULTS

Among 146,082 T1-2 stage PCa patients, cardiac disease emerged as the primary cause of death, surpassing PCa itself. Multifactorial COX regression and competing risk regression analyses indicated that local treatments do not increase CSM risk. Further analysis revealed a significant increase in CSM risk for patients undergoing only EBRT compared with those undergoing only RP (hazard ratio [HR]  = 2.71, 95% confidence interval [CI] 1.96-3.74, P < 0.001), with subsequent PSM adjustment, further confirming a significantly reduced risk in the RP treatment group (HR 0.23, 95% CI 0.13-0.40, P < 0.001).

CONCLUSIONS

T1-2 stage PCa patients face a significant risk of CSM, with RP offering a potential advantage over EBRT in reducing this risk. These findings encourage clinicians to comprehensively consider the potential impact on cardiac health when formulating treatment plans, providing crucial guidance for optimizing treatment strategies.

Developing a Core Outcome Set for Assessing Clinical Safety Outcomes of Prostate Cancer in Clinical Trials of Traditional Chinese Medicine: Protocol for a Mixed Methods Study

BACKGROUND

Among the common malignant tumors in men worldwide, the incidence of prostate cancer ranks second to lung cancer. This disease will bring an economic burden to patients and their families and can reduce the quality of life of patients. Researchers have conducted numerous clinical trials on the efficacy and safety of different interventions in the treatment of prostate cancer with traditional Chinese medicine (TCM) combined with standard treatment regimens. However, the currently published clinical trials exhibit inconsistent and irregular reporting of outcome measures.

OBJECTIVE

The objective of this paper is to emphasize the need for a core outcome set (COS) to facilitate future prostate cancer research, aiming to improve the quality of trials and generate high-quality evidence.

METHODS

This mixed methods project has three phases, as follows: (1) a scoping review of the literature to identify outcomes that have been reported in clinical trials and systematic reviews of interventions involving TCM for the treatment of prostate cancer as well as a qualitative component using interviews to obtain the views of patients with prostate cancer, their families, and their caregivers who have a history of TCM treatment; (2) a Delphi survey among stakeholders to prioritize the core outcomes-Participants will include traditional Chinese and Western medicine clinicians in prostate cancer-related directions, nurses, and methodology experts who will participate in 2 rounds of the Delphi method expert consultation to score each outcome in the list of outcome indicators; and (3) a face-to-face consensus meeting to discuss and agree on the final COS for the application of TCM in the treatment of prostate cancer.

RESULTS

The protocol has been registered in PROSPERO (CRD42022356184) before the start of the review process, and we will initiate the review on August 1, 2023; results should be expected by September 1, 2023. The Delphi survey among stakeholders is expected to start in October 2023.

CONCLUSIONS

The development of a core outcome set for assessing clinical safety outcomes of prostate cancer in clinical trials of TCM will provide a significant first step to assist Chinese doctors, researchers, and policy makers.

TRIAL REGISTRATION

PROSPERO CRD42022356184; https://tinyurl.com/ysakz74r.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/46794.

Developing machine learning algorithms for dynamic estimation of progression during active surveillance for prostate cancer

Active Surveillance (AS) for prostate cancer is a management option that continually monitors early disease and considers intervention if progression occurs. A robust method to incorporate “live” updates of progression risk during follow-up has hitherto been lacking. To address this, we developed a deep learning-based individualised longitudinal survival model using Dynamic-DeepHit-Lite (DDHL) that learns data-driven distribution of time-to-event outcomes. Further refining outputs, we used a reinforcement learning approach (Actor-Critic) for temporal predictive clustering (AC-TPC) to discover groups with similar time-to-event outcomes to support clinical utility. We applied these methods to data from 585 men on AS with longitudinal and comprehensive follow-up (median 4.4 years). Time-dependent C-indices and Brier scores were calculated and compared to Cox regression and landmarking methods. Both Cox and DDHL models including only baseline variables showed comparable C-indices but the DDHL model performance improved with additional follow-up data. With 3 years of data collection and 3 years follow-up the DDHL model had a C-index of 0.79 (±0.11) compared to 0.70 (±0.15) for landmarking Cox and 0.67 (±0.09) for baseline Cox only. Model calibration was good across all models tested. The AC-TPC method further discovered 4 distinct outcome-related temporal clusters with distinct progression trajectories. Those in the lowest risk cluster had negligible progression risk while those in the highest cluster had a 50% risk of progression by 5 years. In summary, we report a novel machine learning approach to inform personalised follow-up during active surveillance which improves predictive power with increasing data input over time.

Spatial and temporal patterns of prostate cancer burden and their association with Socio-Demographic Index in Asia, 1990-2019

BACKGROUND

Prostate cancer is the second most frequently diagnosed cancer for males worldwide, but the spatial and temporal trends of prostate cancer burden remain unknown in Asia. This study aimed to investigate the changing spatial and temporal trends of incidence, prevalence, mortality, disability-adjusted life year (DALY), and mortality-to-incidence ratio (MIR) of prostate cancer, and their association with the Socio-Demographic Index (SDI) in 48 Asian countries from 1990 to 2019.

METHODS

Data were extracted from the Global Health Data Exchange query tool, covering 48 Asian countries from 1990 to 2019. The average annual percent change was calculated to evaluate temporal trends. Spatial autocorrelation analysis was used to obtain spatial patterns, and the association between SDI and prostate cancer burden was estimated using a spatial panel model.

RESULTS

In Asia, the age-standardized incidence and prevalence of prostate cancer increased in almost all countries, and its mortality and DALY also increased in over half of the countries. Significantly regional disparities were found in Asia, and the hot spots for incidence, prevalence, mortality, and DALY were all located in Western Asia, the hot spots of percent change also occurred in Western Asia for incidence and DALY. Furthermore, SDI had a positive association with mortality (coef = 2.51, 95% confidence interval [CI]: 2.13-2.90) and negative association with DALY (coef = -14.99, 95% CI: -20.37 to -9.60) and MIR (coef = -0.95, 95%CI: -0.99 to -0.92).

CONCLUSIONS

Prostate cancer burden increased rapidly throughout Asia and substantial disparities had persisted between countries. Geographically targeted interventions are needed to reduce the prostate cancer burden throughout Asia and in specific countries.

The treatment landscape of metastatic prostate cancer

The treatment landscape of metastatic prostate cancer has evolved significantly over the past two decades. Several landmark phase 3 trials led to new drug approvals and rapid changes in therapy options for patients, including drugs with distinct mechanisms of action (e.g., hormonal, chemotherapy, radionuclide, immunotherapy, and targeted therapies). Therapies initially developed in later stages of the disease (metastatic castration resistant prostate cancer) have started to move earlier in the prostate cancer continuum, with new standards of care for metastatic hormone naive prostate cancer and non-metastatic castration resistant prostate cancer. Overall, patients are living longer with a better quality of life. However, despite these significant advances, prostate cancer remains a leading cause of cancer death globally. Disease heterogeneity and the emergence of therapy resistance remain significant barriers, and the identification and application of molecular biomarkers to guide the choice and sequencing of systemic agents are still in early stages. Here we discuss the current treatment landscape of metastatic prostate cancer, clinical challenges, and the emerging role of molecular biomarkers for targeting biologic subsets of advanced disease and co-targeting heterogenous resistance patterns.

The effectiveness of psychological intervention for depression, anxiety, and distress in prostate cancer: a systematic review of literature

BACKGROUND

The increasing incidence and declining mortality rates seen in prostate cancer will result in a growing survivorship with a burden of health conditions, warranting attention to psychological health. Depression, anxiety, and distress have prognostic significance; attempts have been made to reduce them with psychological interventions using cognitive- and/or education-based approaches. The review of literature attempted to measure a clinically meaningful difference between pre- and post-intervention scores that were previously reported in randomized clinical trials.

METHODS

Using the PRISMA-checklist, we identified 22 studies that assessed psychological interventions by randomizing against care as usual (CAU). We calculated a percent change between pre- and post-trial mean scores for depression, anxiety, and distress in each study and analyzed effectiveness of intervention versus CAU.

RESULTS

The patient group receiving intervention showed significantly greater improvement in depression, anxiety, as well as general and cancer-specific distress as compared to CAU. The effectiveness of intervention was retained even in subgroups upon limiting analysis to seven studies that used one single assessment tool, the Hospital Anxiety and Depression Scale (HADS), or to 14 studies with localized prostate cancer (LPC). Improvement in depression did not correlate with anxiety but correlated significantly with a reduction in distress. Lastly, improvement in all three parameters was numerically greater in three studies that combined cognitive- and education-based approaches versus studies using either approach alone.

CONCLUSIONS

The present analysis underscores the utility of psychological intervention for depression, anxiety, and distress related to prostate cancer. Future research should ascertain their impact on long-term clinical outcomes, like disease progression and survival.

circCRKL suppresses the progression of prostate cancer cells by regulating the miR-141/KLF5 axis

BACKGROUND

Prostate cancer (PCa) is a prevalent human malignancy in males. Circular RNA circCRKL (Hsa_circ_0001206) was reported to be lowly expressed in PCa tissues. However, the regulatory role of circCRKL in PCa is poorly defined.

METHODS

Levels of circCRKL, microRNA-141 (miR-141), and Kruppel-like factor (KLF5) were measured by real-time quantitative polymerase chain reaction (RT-qPCR). Cell cycle progression, apoptosis, migration, and invasion were examined by Flow cytometry, Wound healing, and transwell assays. The underlying relationship between miR-141 and circCRKL or KLF5 was predicted by starBase, and then verified by a dual-luciferase reporter, RNA Immunoprecipitation (RIP), and RNA pull-down assays. The protein level of KLF5 was assessed by western blot assay. The biological role of circCRKL was detected by a xenograft tumor model in vivo.

RESULTS

CircCRKL and KLF5 were decreased, and miR-141 was increased in PCa tissues and cells. The functional analysis discovered that the overexpression of circCRKL repressed cell cycle progression, migration, invasion, and boosted apoptosis of PCa cells. Mechanically, circCRKL could positively regulate KLF5 expression by sponging miR-141. In addition, circCRKL upregulation could hinder PCa tumor growth in vivo.

CONCLUSION

These findings revealed that circCRKL inhibited the progression of PCa through upregulating KLF5 expression by sponging miR-141, elucidating a novel regulatory pathway in PCa cells. Our research suggested an underlying circRNA-targeted therapy for PCa.