UNASSIGNED: The current treatment strategy for metastatic Hormone-Sensitive Prostate Cancer (mHSPC) is the combination of Androgen Receptor Signaling Inhibitors (ARSIs) medicines with androgen deprivation therapy (ADT). However, there is a lack of real-world data comparing the efficacy of different ARSI pharmaceuticals. Therefore, the objective of this study was to compare the effectiveness and safety of bicalutamide, abiraterone, enzalutamide, and apalutamide in combination with ADT for patients with mHSPC.
UNASSIGNED: We retrospectively analyzed 82 patients diagnosed with mHSPC, including 18 patients treated with abiraterone acetate with prednisone, 21 patients with enzalutamide, 20 patients with apalutamide, and 23 patients with bicalutamide. We evaluated PSA progression-free survival (PSA-PFS), imaging progression-free survival (r PFS), castration resistance progression-free survival (CRPC-PFS), and overall survival (OS) using Kaplan-Meier survival analyses. Additionally, we explored relevant factors affecting prognosis through univariate and multivariate Cox risk-proportionality models. PSA response rates at 3, 6, and 12 months, nadir PSA levels (nPSA), and time to nadir (TTN) in different medication subgroups after treatment were documented, and we used one-way ANOVA to determine the effect of these measures on patient prognosis.
UNASSIGNED: In comparison with bicalutamide, both enzalutamide and apalutamide have shown significant advantages in delaying disease progression among mHSPC patients. Specifically, enzalutamide has been found to significantly prolong PSA-PFS (HR 2.244; 95% CI 1.366-3.685, p=0.001), rPFS (HR 2.539; 95% CI 1.181-5.461; p= 0.007), CRPC-PFS (HR 2.131; 95% CI 1.295-3.506; p= 0.003), and OS (HR 2.06; 95% CI 1.183-3.585; P=0.005). Similarly, apalutamide has significantly extended PSA-PFS (HR 5.071; 95% CI 1.711-15.032; P= 0.003) and CRPC-PFS (HR 6.724; 95% CI 1.976-22.878; P=0.002) among patients. On the other hand, the use of abiraterone in combination with ADT did not demonstrate a significant advantage in delaying diseases progression when compared with the other three agents in mHSPC patients. There were no significant differences in overall adverse event rates among the four pharmaceuticals in terms of safety. Additionally, the observation of PSA kinetics revealed that enzalutamide, apalutamide, and abiraterone acetate had a significant advantage in achieving deep PSA response (PSA ≤ 0.2 ng/ml) compared with bicalutamide (p=0.007 at 12 months). Enzalutamide and apalutamide exhibited preeminence efficacy, with no substantial difference observed between the two medications.
UNASSIGNED: Abiraterone, enzalutamide, and apalutamide were found to significantly reduce and stabilize PSA levels in mHSPC patients more quickly and thoroughly than bicalutamide. Furthermore, enzalutamide and apalutamide were found to significantly prolong survival and delay disease progression in mHSPC patients compared with bicalutamide. It should be noted that abiraterone did not demonstrate a significant advantage in delaying disease compared with enzalutamide and apalutamide. After conducting drug toxicity analyses, it was determined that there were no significant differences among the four drugs.

UNASSIGNED: Locally advanced prostate cancer (PCa) carries a high risk of recurrence and metastasis after surgery, and the prognosis is poor. We explored the risk factors for locally advanced PCa among clinical factors (neutrophil: lymphocyte ratio, lymphocyte: monocyte ratio) and indicators of systemic inflammation [prostate-specific antigen (PSA) level, Gleason score, body mass index (BMI)] through retrospective evaluation of patients with PCa diagnosed at our center. The pathologic T stage was a key indicator of locally advanced PCa.
UNASSIGNED: Data from patients with pathologically confirmed PCa at our center from 1 January 2015 to 1 May 2020 were collected in strict accordance with inclusion and exclusion criteria. Clinical data were collected and the relationship between the indicators and the pathologic T stage was explored. First, Spearman rank correlation analysis was used to find the correlates of the pathologic T stage. Then, logistic ordered multiple regression analysis was used to identify independent risk factors. Finally, receiver operating characteristic (ROC) curves were used to assess the diagnostic accuracy for the T stage of PCa.
UNASSIGNED: After rigorous screening, the data of 177 patients were obtained. Spearman correlation analysis showed that BMI, the PSA level, Gleason score, hypertension, N stage, and M stage were significantly correlated with the T stage (P<0.05), suggesting that these factors may be involved in locally advanced PCa. Analyses of ROC curves showed that the PSA level [area under the ROC curve (AUC) =0.802] had greater value than BMI (0.675) for the diagnosis of the pathologic T stage PCa, and that a combination of BMI and PSA (combined AUC =0.822) could improve locally advanced PCa diagnosis.
UNASSIGNED: BMI and PSA are independent risk factors for locally advanced PCa. They may play a key part in locally advanced PCa.

BACKGROUND: Serum prostate-specific antigen (PSA) is a primary metric for diagnosis and prognosis of prostate cancer (PCa). Exposure to heavy metals, such as lead, cadmium, mercury, and zinc can impact PSA levels in PCa patients. However, it is unclear whether this effect also occurs in men without PCa, which may lead to the overdiagnosis of PCa.
METHODS: Data on a total of 5089 American men who had never been diagnosed with PCa were obtained from the National Health and Nutrition Examination Survey performed from 2003-2010. The relationship between serum PSA levels (dependent variable) and concentrations of lead (μmol/L), cadmium (nmol/L), and mercury (μmol/L) were investigated with dietary zinc intake being used as a potential modifier or covariate in a weighted linear regression model and a generalized additive model. A series of bootstrapping analyses were performed to evaluate sensitivity and specificity using these models.
RESULTS: Regression analyses suggested that, in general, lead, cadmium, or mercury did not show an association with PSA levels, which was consistent with the results of the bootstrapping analyses. However, in a subgroup of participants with a high level of dietary zinc intake (≥14.12 mg/day), a significant positive association between cadmium and serum PSA was identified (1.06, 95% CI, P = 0.0268, P for interaction=0.0249).
CONCLUSIONS: With high-level zinc intake, serum PSA levels may rise in PCa-free men as the exposure to cadmium increases, leading to a potential risk of an overdiagnosis of PCa and unnecessary treatment. Therefore, environmental variables should be factored in the current diagnostic model for PCa that is solely based on PSA measurements. Different criteria for PSA screening are necessary based on geographical variables. Further investigations are needed to uncover the biological and biochemical relationship between zinc, cadmium, and serum PSA levels to more precisely diagnose PCa.

UNASSIGNED: Digital rectal examination (DRE) is a straightforward, cost-effective, practical, and time-honored physical examination method that plays a valuable role in the detection of prostate cancer (PCa). Nevertheless, with the advent of the prostate-specific antigen (PSA) era, the necessity of performing DRE has become a subject of debate. Our aim was to investigate the diagnostic efficacy and adjunctive role of DRE in a population (Prostate Imaging Reporting and Data System (PI-RADS), PI-RADS ≥3 or PSA ≥4 ng/mL) suspected of PCa.
UNASSIGNED: Five hundred and ninety-seven patients with suspected PCa requiring referral for biopsy were prospectively enrolled consecutively from February 2020 to May 2021. All patients received DRE and corresponding clinical diagnosis by a urologist before biopsy. According to the collected clinical and pathological information, the diagnostic performance of DRE in different PSA stratifications, and its association with tumor location and Gleason score (GS) were statistically analyzed.
UNASSIGNED: Among patients with suspected cancer, the diagnostic accuracy of DRE was 63.45%. Compared with central zone or transition zone tumors, the recall rate of peripheral zone PCa with DRE-positive results was higher (65.50% vs. 34.55%). DRE-positive results were significantly correlated with GS ≥7 PCa (P<0.001), and the average GS of DRE-positive PCa patients was significantly higher than that of DRE-negative (7.92 vs. 7.11, P<0.001).
UNASSIGNED: DRE may help physicians further judge the necessity of biopsy in patients with elevated PSA, and preliminarily estimate the location and invasiveness of the tumor. However, it is still necessary to explore the value of DRE in a normal PSA population.

The occurrence and development of diseases are closely related to overexpression of specific biomarkers in the serum of patients. Rapid and sensitive biomarker detection is beneficial for early diagnosis and treatment. However, the current laboratory processes and assays for biomarker detection are expensive and time-consuming, and their operation also requires a large number of professionals. We developed a magnetically modulated differential quartz crystal microbalance (MMD-QCM) method combined with magnetic bead (MB) labels for rapid and highly sensitive quantitative detection of prostate-specific antigen (PSA). Because MBs exhibit magnetized rotation motion under an applied AC magnetic field, a pair of QCMs are utilized to measure the difference between the magnetic motion intensities of the MBs and the MB-PSA immune complex to determine the PSA concentration. Experimental results demonstrate that the proposed method can be adopted to determine the PSA concentration in a wide range of 0.01-1000 ng/mL as well as exhibit a low detection limit of 0.065 ng/mL. In addition, the proposed scheme enables fast detection and low sample consumption. The single detection process takes less than 4 h and requires only 113 μL of sample solution. The proposed detection strategy is superior to the existing detection method and can be effectively used in early screening and prognostic diagnosis of cancer and other related diseases owing to its simplicity, low cost, and high speed.

Conflicting results regarding the impact of selenium on reducing prostate cancer have been reported. The current analysis aimed to understand whether there are potential factors affecting the relationship between selenium and prostate cancer.
To clarify the relationship between dietary selenium intake and prostate cancer, we evaluated the correlation between dietary selenium intake and prostate-specific antigen (PSA) based on the National Health and Nutrition Examination Survey (NHANES) database.
After screening the NHANES survey data from 2005 to 2010, data for 3,614 of 31,034 participants were considered suitable to include in our study. Dietary selenium intake was the independent variable of our study, while PSA was the dependent variable. We stratified participants into current, former, and never smokers and performed an interaction test on the relationship between selenium intake and PSA using multivariable logistic regression for each smoking-status subgroup.
For our subgroup analysis, we grouped participants based on smoking status and investigated the association between dietary selenium intake and PSA levels. Among the 242 participants with a PSA level of 4 or higher, the mean age was 58.5 years (±12.1). After adjusting for covariates, we did not find a significant association between dietary selenium and the odds of having a high PSA level. However, we observed a significant interaction between smoking status and dietary selenium in relation to PSA levels (P = .007). Specifically, smokers had lower odds of having high PSA levels, while nonsmokers had higher odds. This suggests that smoking status may modify the effect of dietary selenium on PSA levels.
Our findings suggest that smoking status affects the relationship between dietary selenium intake and PSA and that smokers are at lower odds of having a high PSA level.

Previous studies have shown that serum albumin is associated with prostate cancer (PCa), but not with prostate-specific antigen (PSA) levels in populations without PCa history. Therefore, we analyzed secondary data provided by the National Health and Nutrition Examination Survey (NHANES) (2003-2010).
In total, 5,469 participants were selected from the NHANES database (2003-2010). Serum albumin and PSA levels were serially considered independent and dependent variables, serially. A number of covariates were included in this study, including demographic, dietary, physical examination, and comorbidity data. Using weighted linear regression model and smooth curve fitting, the linear and non-linear relationship between serum albumin and PSA was investigated.
After modulating underlying interference factors, the weighted multivariate linear regression analysis revealed that serum albumin did not independently predict PSA levels (β = -0.009 95%CI: -0.020, 0.002). Nevertheless, a non-linear relationship was found between serum albumin and PSA, with a point of 41 g/L. Left of the inflection point, the effect size, 95%CI, and P-value were 0.019 (log2 transformation) (-0.006, 0.043) and 0.1335, respectively. We found a negative association between serum albumin and PSA on the right side of the inflection point, with effect size, 95%CI, and a P-value of -0.022 (log2 transformation) (-0.037, -0.007), 0.0036.
In summary, serum albumin and PSA levels are not linearly related. When serum albumin levels exceed 41 g, serum albumin levels are negatively associated with PSA levels.

UNASSIGNED: The lack of interchangeability among prostate-specific antigen (PSA) assays causes difficulties in clinical interpretation. The currently available mainstream assays for PSA were based on Western populations, but it is not clear whether these assays yield different results in prostate cancer (PCa) screening in Chinese populations.
UNASSIGNED: A total of 163 men with a total PSA (tPSA) level of 2-10 µg/L scheduled for prostate biopsy were enrolled in this study. The levels of the tPSA and free PSA (fPSA) were detected by the Beckman (using the Hybritech calibration), Roche, Abbott, and Mindray (using the World Health Organization\'s calibration). Methodological comparison were performed according to EP9-A3 of the Clinical and Laboratory Standards Institute, USA. With pathological diagnosis as the gold standard, the predictive accuracy of the biomarkers was quantified as the area under the receiver operating characteristic curve (AUC) for each of the four methods.
UNASSIGNED: A total of 32 PCa patients and 131 patients with benign prostate disease were included in this study. The tPSA levels detected by the Roche, Abbott, and Mindray showed good consistency with Beckman but not of the fPSA levels. Compared to the Beckman tPSA values, the measured values were 1.1% higher for Roche, 2.1% higher for Abbott, and 6.7% higher for Mindray. The fPSA levels measured by Roche, Abbott, and Mindray were 5.4% lower, 22.1% higher, and 4.6% higher than Beckman, respectively. When the tPSA was 4 ng/mL, the diagnostic performance (sensitivity, specificity, positive predictive value, negative predictive value, and missed diagnosis rate) was similar among these 4 assays. When the %fPSA was 16%, Abbott had the highest missed diagnosis rate (37.50%), while Mindray had a sensitivity of 81.25%, the highest negative predictive value (93.88%), and the lowest missed diagnosis rate (18.75%).
UNASSIGNED: When the tPSA level is 2-10 ng/mL, the Mindray, like the Roche and Abbott, has good consistency with the Beckman in detecting tPSA, which makes it possible to relieve the pressure of clinical interpretation. However, 4 assays using the same %fPSA cut-off may lead to diverse missed diagnosis rates for PCa screening in China.

Human exposure to harmful phthalates has raised global health concerns. According to cellular and molecular investigations, phthalates and their metabolites can promote prostate cancer (PCa). Despite being a prevalent cancer afflicting the global male population, the epidemiological association between phthalates and prostate cancer remains understudied. This work aims to investigate whether phthalate metabolites are related to prostate cancer. Moreover, we sought to understand whether their elevated concentrations are associated with increased serum concentrations of prostate-specific antigen (PSA), among non-prostate cancer interviewees. According to National Health and Nutrition Examination Survey (NHANES) data from 2003 to 2010, we screened eligible men aged 20 years or older. Then, crude and multivariate regression models were constructed to assess the relationship. The phthalates significantly related to PCa were analyzed based on variables associated with PCa status and PSA. The molar sum ∑di-2-ethylhexyl phthalate (∑DEHP) was simultaneously associated with increased risk of PCa and increasing PSA concentrations. Among PCa-related phthalates, high molecular weight phthalate metabolites included mono-benzyl phthalate (MBzP) and three metabolites of DEHP. In summary, phthalates are potentially associated with prostate tumorigenesis in the US population. However, additional in-depth prospective studies in different ethnic groups are required to validate the causality between both.

The overexpression of specific biomarkers in serum is closely related to diseases, and accurate and sensitive detection of them is beneficial for the early diagnosis and treatment of cancer. In this study, we developed a novel surface-enhanced Raman spectroscopy (SERS)-based aptasensor to detect the prostate-specific antigen biomarkers, consisting of total prostate-specific antigen (PSA) and free prostate-specific antigen (f-PSA). A composite structure containing arrays of polystyrene colloidal sphere @Ag shell (PS@Ag) was fabricated as a SERS-active chip. A complementary DNA probe (SH-DNA) and PSA aptamer (Apt) were immobilised stepwise on the chip, followed by the binding of a Raman reporter methylene blue (MB) to the guanine base of the aptamer. PSA-Apt recognition causes the release of MB-Apt and a decrease in the SERS intensity of MB on the chip, which correlates with the PSA concentration. The proposed biosensor has high spectral reproducibility, selectivity, and sensitivity and successfully determines the PSA levels in serum samples collected from prostate cancer patients, demonstrating great potential for clinical diagnosis.