Predicting clinically significant prostate cancer following suspicious mpMRI: analyses from a high-volume center.

PURPOSE: mpMRI is routinely used to stratify the risk of clinically significant prostate cancer (csPCa) in men with elevated PSA values before biopsy. This study aimed to calculate a multivariable risk model incorporating standard risk factors and mpMRI findings for predicting csPCa on subsequent prostate biopsy. METHODS: Data from 677 patients undergoing mpMRI ultrasound fusion biopsy of the prostate at the TUM University Hospital tertiary urological center between 2019 and 2023 were analyzed. Patient age at biopsy (67 (median); 33-88 (range) (years)), PSA (7.2; 0.3-439 (ng/ml)), prostate volume (45; 10-300 (ml)), PSA density (0.15; 0.01-8.4), PI-RADS (V.2.0 protocol) score of index lesion (92.2% ≥3), prior negative biopsy (12.9%), suspicious digital rectal examination (31.2%), biopsy cores taken (12; 2-22), and pathological biopsy outcome were analyzed with multivariable logistic regression for independent associations with the detection of csPCa defined as ISUP ≥ 3 (n = 212 (35.2%)) and ISUP ≥ 2 (n = 459 (67.8%) performed on 603 patients with complete information. RESULTS: Older age (OR: 1.64 for a 10-year increase; p < 0.001), higher PSA density (OR: 1.60 for a doubling; p < 0.001), higher PI-RADS score of the index lesion (OR: 2.35 for an increase of 1; p < 0.001), and a prior negative biopsy (OR: 0.43; p = 0.01) were associated with csPCa. CONCLUSION: mpMRI findings are the dominant predictor for csPCa on follow-up prostate biopsy. However, PSA density, age, and prior negative biopsy history are independent predictors. They must be considered when discussing the individual risk for csPCa following suspicious mpMRI and may help facilitate the further diagnostical approach.

Survival benefit of radical prostatectomy in patients with advanced TURP-diagnosed prostate cancer: a population-based real-world study.

OBJECTIVES: A considerable number of patients are diagnosed with prostate cancer (PCa) by transurethral resection of the prostate (TURP). We aimed to evaluate whether radical prostatectomy (RP) brings survival benefits for these patients, especially in the elderly with advanced PCa. PATIENTS AND METHODS: We used the Surveillance, Epidemiology, and End Results (SEER) database to obtain PCa cases diagnosed with TURP. After the propensity matching score (PSM) for case matching, univariate, multivariate, and subgroup analyses were performed to investigate whether RP impacts the survival benefit. RESULTS: 4,677 cases diagnosed with PCa by TURP from 2010 to 2019 were obtained, including 1,313 RP patients and 3,364 patients with no RP (nRP). 9.6% of RP patients had advanced PCa. With or without PSM, cancer-specific mortality (CSM) and overall mortality (OM) were significantly reduced in the RP patients compared to the nRP patients, even for older (> 75 ys.) patients with advanced stages (all p < 0.05). Except for RP, younger age (≤ 75 ys.), being married, and earlier stage (localized) contributed to a significant reduction of CSM risk (all p < 0.05). These survival benefits had no significant differences among patients of different ages, married or single, and at different stages (all p for interaction > 0.05). CONCLUSIONS: Based on this retrospective population-matched study, we first found that in patients diagnosed with PCa by TURP, RP treatment may lead to a survival benefit, especially a reduction in CSM, even in old aged patients (> 75 ys.) with advanced PCa.

Active surveillance of low-grade prostate cancer using the SurACaP Criteria: A multi-institutional series with a median follow-up of 10years.

PURPOSE: To report on the oncological outcomes of active surveillance (AS) in low-grade prostate cancer (PCa) patients using the French SurACaP protocol, with a focus on long-term outcomes. METHODS: This multicenter study recruited patients with low-grade PCa between 2007 and 2013 in four referral centers in France. The cohort included patients meeting the SurACaP inclusion criteria, i.e., aged ≤75years, with low-grade PCa (i.e., ISUP 1), clinical stage T1c/T2a, PSA ≤10ng/mL and ≤3 positive cores and tumor length ≤3mm per core. The SurACaP protocol included a digital rectal examination every six months, PSA level measurement every three months for the first two years after inclusion and twice a year thereafter, a confirmatory biopsy in the first year after inclusion, and then follow-up biopsy every two years or if disease progression was suspected. Multiparametric magnetic resonance imaging (mpMRI) was progressively included over the study period. RESULTS: A total of 86 consecutive patients were included, with a median follow-up of 10.6 years. Only one patient developed metastases and died of PCa. The estimated rates of grade reclassification and treatment-free survival at 15 years were 53.4% and 21.2%, respectively. A negative mpMRI at baseline and a negative confirmatory biopsy were significantly associated with a lower risk of disease progression (P<0.05). CONCLUSIONS: AS using the French SurACaP protocol is a safe and valuable strategy for patients with low-risk PCa, with excellent oncological outcomes after more than 10 years' follow-up. Future studies are crucial to broaden the inclusion criteria and develop a personalized, risk based AS protocol with the aim of de-escalating follow-up examinations. LEVEL OF EVIDENCE: Grade 4.

Prostate-specific membrane antigen-targeted surgery in prostate cancer: Accurate identification, real-time diagnosis, and precise resection.

Radical prostatectomy (RP) combined with pelvic lymph node dissection (PLND) is the first step in multimodal treatment of prostate cancer (PCa) without distant metastases. For a long time, the surgical resection range has been highly dependent on the surgeon's visualization and experience with preoperative imaging. With the rapid development of prostate-specific membrane antigen positron emission tomography and single-photon emission computed tomography (PSMA-PET and PSMA-SPECT), PSMA-targeted surgery has been introduced for a more accurate pathological diagnosis and complete resection of positive surgical margins (PSMs) and micro-lymph node metastases (LNMs). We reviewed PSMA-targeted surgeries, including PSMA-PET-guided prostatic biopsy (PSMA-TB), PSMA-targeted radio-guided surgery (PSMA-RGS), PSMA-targeted fluorescence-guided surgery (PSMA-FGS), and multi-modality/multi-targeted PSMA-targeted surgery. We also discuss the strengths and challenges of PSMA-targeted surgery, and propose that PSMA-targeted surgery could be a great addition to existing surgery protocols, thereby improving the accuracy and convenience of surgery for primary and recurrent PCa in the near future.

Advancing Prostate Cancer Care: Treatment Approaches to Precision Medicine, Biomarker Innovations, and Equitable Access.

Genetic testing and molecular imaging have great promise in the accurate diagnosis and treatment of #prostate #cancer, but only if they can be developed and implemented to achieve equitable benefit for all men.

Trial of Electronic Medical Record Integrated Next-Generation Sequencing Ordering in Veterans Affairs Cancer Care.

PURPOSE: Previous studies document underuse of next-generation sequencing (NGS). We examined the impact to oncology care for veterans of incorporating NGS ordering into the Veterans Affairs (VA) electronic medical record (EMR) at two New York City VA Medical Centers. METHODS: We identified patients with non-small cell lung cancer and prostate cancer with oncology clinic visits and NGS testing indications between January and December 2021. Patients were divided into external ordering (EO) with visits before we implemented an EMR ordering system for NGS in July 2021, and internal ordering (IO) with visits after this date. The primary outcome was proportion of NGS testing performed in EO versus IO groups. Secondary outcomes were time between metastatic disease diagnosis to receipt of test by vendor, time of metastatic diagnosis to result, and proportion of testing by race. RESULTS: A total of 168 patients were identified, 116 EO and 52 IO patients. Between IO and EO periods, testing significantly increased from 52% to 87% (P ≤ .01); it was conducted more quickly, with time from metastatic diagnosis to sample receipt by the NGS vendor improving to median 37 days from 299 days (P = .03); and the time from documented metastatic disease to a test result improved to median 56 days from 309 days (P = .03). The proportion of tissue received by the vendor was not significantly different between the two groups. There were no significant differences in testing according to self-reported race. CONCLUSION: Integration of NGS ordering in the EMR led to increased proportion and speed of testing for a vulnerable patient population served by the country's largest health system.

Dual-mode fluorescence and colorimetric smartphone-based sensing platform with oxidation-induced self-assembled nanoflowers for sarcosine detection.

BACKGROUND: Early prostatic cancer (PCa) diagnosis significantly improves the chances of successful treatment and enhances patient survival rates. Traditional enzyme cascade-based early cancer detection methods offer efficiency and signal amplification but are limited by cost, complexity, and enzyme dependency, affecting stability and practicality. Meanwhile, sarcosine (Sar) is commonly considered a biomarker for PCa development. It is essential to develop a Sar detection method based on cascade reactions, which should be efficient, low skill requirement, and suitable for on-site testing. RESULTS: To address this, our study introduces the synthesis of organic-inorganic self-assembled nanoflowers to optimize existing detection methods. The Sar oxidase (SOX)-inorganic hybrid nanoflowers (Cu3(PO4)2:Ce@SOX) possess inherent fluorescent properties and excellent peroxidase activity, coupled with efficient enzyme loading. Based on this, we have developed a dual-mode multi-enzyme cascade nanoplatform combining fluorescence and colorimetric methods for the detection of Sar. The encapsulation yield of Cu3(PO4)2:Ce@SOX reaches 84.5 %, exhibiting a remarkable enhancement in catalytic activity by 1.26-1.29 fold compared to free SOX. The present study employing a dual-signal mechanism encompasses 'turn-off' fluorescence signals ranging from 0.5 µM to 60 µM, with a detection limit of 0.226 µM, and 'turn-on' colorimetric signals ranging from 0.18 µM to 60 µM, with a detection limit of 0.120 µM. SIGNIFICANCE: Furthermore, our study developed an intelligent smartphone sensor system utilizing cotton swabs for real-time analysis of Sar without additional instruments. The nano-platform exhibits exceptional repeatability and stability, rendering it well-suited for detecting Sar in authentic human urine samples. This innovation allows for immediate analysis, offering valuable insights for portable and efficient biosensors applicable to Sar and other analytes.

Prostate MRI Was Negative-What's Next?

The primary benefit of prostate MRI in the modern diagnostic pathway for prostate cancer is that many men with elevated serum PSA can safely avoid an immediate biopsy if the MRI is nonsuspicious. It is less clear, though, how these patients should be followed thereafter. Are they to be followed the same as the general population, or do they warrant more attention because of the risk of a cancer missed on MRI? In this issue, Pylväläinen and colleagues report on incidence of clinically significant prostate cancer (csPCa) and clinically insignificant PCa (ciPCa) among patients who were referred for prostate MRI for clinical suspicion of csPCa in Helsinki but had a nonsuspicious MRI (nMRI). Compared with the general population in Finland, patients who had nMRI were approximately 3.4 times more likely to be diagnosed with csPCa and 8.2 times more likely to be diagnosed with ciPCa. Balancing the competing risks of a missed csPCa versus overdiagnosis in patients after nMRI requires integration of MRI and other risk factors, especially age and PSA density. This integration may be facilitated by multivariable models and quantitative pathology and imaging. See related article by Pylväläinen et al., p. 749.

PSMA-Targeted Radiopharmaceuticals for Prostate Cancer Diagnosis and Therapy.

ABSTRACT: Prostate cancer (PCa) is the most common noncutaneous malignancy in men. Until recent years, accurate imaging of men with newly diagnosed PCa, or recurrent or low-volume metastatic disease, was limited. Further, therapeutic options for men with advanced, metastatic, castration-resistant disease were increasingly limited as a result of increasing numbers of systemic therapies being combined in the upfront metastatic setting. The advent of urea-based, small-molecule inhibitors of prostate-specific membrane antigen (PSMA) has partially addressed those shortcomings in diagnosis and therapy of PCa. On the diagnostic side, there are multiple pivotal phase III trials with several different agents having demonstrated utility in the initial staging setting, with generally modest sensitivity but very high specificity for determining otherwise-occult pelvic nodal involvement. That latter statistic drives the utility of the scan by allowing imaging interpreters to read with very high sensitivity while maintaining a robust specificity. Other pivotal phase III trials have demonstrated high detection efficiency in patients with biochemical failure, with high positive predictive value at the lesion level, opening up possible new avenues of therapy such as metastasis-directed therapy. Beyond the diagnostic aspects of PSMA-targeted radiotracers, the same urea-based chemical scaffolds can be altered to deliver therapeutic isotopes to PCa cells that express PSMA. To date, one such agent, when combined with best standard-of-care therapy, has demonstrated an ability to improve overall survival, progression-free survival, and freedom from skeletal events relative to best standard-of-care therapy alone in men with metastatic, castration-resistant PCa who are post chemotherapy. Within the current milieu, there are a number of important future directions including the use of artificial intelligence to better leverage diagnostic findings, further medicinal chemistry refinements to the urea-based structure that may allow improved tumor targeting and decreased toxicities, and the incorporation of new radionuclides that may better balance efficacy with toxicities than those nuclides that are available.

Toward confident prostate cancer detection using ultrasound: a multi-center study.

PURPOSE: Deep learning-based analysis of micro-ultrasound images to detect cancerous lesions is a promising tool for improving prostate cancer (PCa) diagnosis. An ideal model should confidently identify cancer while responding with appropriate uncertainty when presented with out-of-distribution inputs that arise during deployment due to imaging artifacts and the biological heterogeneity of patients and prostatic tissue. METHODS: Using micro-ultrasound data from 693 patients across 5 clinical centers who underwent micro-ultrasound guided prostate biopsy, we train and evaluate convolutional neural network models for PCa detection. To improve robustness to out-of-distribution inputs, we employ and comprehensively benchmark several state-of-the-art uncertainty estimation methods. RESULTS: PCa detection models achieve performance scores up to 76 % average AUROC with a 10-fold cross validation setup. Models with uncertainty estimation obtain expected calibration error scores as low as 2 % , indicating that confident predictions are very likely to be correct. Visualizations of the model output demonstrate that the model correctly identifies healthy versus malignant tissue. CONCLUSION: Deep learning models have been developed to confidently detect PCa lesions from micro-ultrasound. The performance of these models, determined from a large and diverse dataset, is competitive with visual analysis of magnetic resonance imaging, the clinical benchmark to identify PCa lesions for targeted biopsy. Deep learning with micro-ultrasound should be further studied as an avenue for targeted prostate biopsy.

CYP7B1 as a Biomarker for Prostate Cancer Risk and Progression: Metabolic and Oncogenic Signatures (Diagnostic Immunohistochemistry Analysis by Tissue Microarray in Prostate Cancer Patients-Diamond Study).

We aimed to analyze the association between CYP7B1 and prostate cancer, along with its association with proteins involved in cancer and metabolic processes. A retrospective analysis was performed on 390 patients with prostate cancer (PC) or benign prostatic hyperplasia (BPH). We investigated the interactions between CYP7B1 expression and proteins associated with PC and metabolic processes, followed by an analysis of the risk of biochemical recurrence based on CYP7B1 expression. Of the 139 patients with elevated CYP7B1 expression, 92.8% had prostate cancer. Overall, no increased risk of biochemical recurrence was associated with CYP7B1 expression. However, in a non-diabetic subgroup analysis, higher CYP7B1 expression indicated a higher risk of biochemical recurrence, with an HR of 1.78 (CI: 1.0-3.2, p = 0.05). PC is associated with elevated CYP7B1 expression. In a subgroup analysis of non-diabetic patients, elevated CYP7B1 expression was associated with an increased risk of biochemical recurrence, suggesting increased cancer aggressiveness.

Associations between knowledge of health issues and health care satisfaction and propensity to complain: a cross-sectional survey of adult men in Denmark.

OBJECTIVES: The objective of this study was to investigate associations between knowledge of health issues and healthcare satisfaction and propensity to complain including the association between knowledge and greater patient involvement. DESIGN: The present study is a secondary analysis of a larger cross-sectional case vignette survey. SETTING: Survey conducted in adult Danish men. PARTICIPANTS: Participants included 6755 men aged 45-70 years. INTERVENTIONS: Participants responded to a survey with scenarios illustrating prostate-specific antigen (PSA) testing and different information provision. PRIMARY AND SECONDARY OUTCOME MEASURES: Using Likert scales (scored 1-5), participants rated their satisfaction with the care described and their inclination to complain and responded to a short quiz (scored 0-3) assessing their knowledge about the PSA test. RESULTS: Satisfaction with healthcare increased with better quiz performance (Likert difference 0.13 (95% CI .07 to 0.20), p <0.001, totally correct vs totally incorrect responders) and correspondingly, the desire to complain significantly decreased (Likert difference -0.34 (95% CI 0.40 to -0.27), p <0.001). Respondents with higher education performed better (mean quiz score difference 0.59 (95% CI 0.50 to 0.67), p <0.001, most educated vs least educated). Responders who received information about the PSA test generally performed better (quiz score difference 0.41 (95% CI 0.35 to 0.47), p<0.001, neutral vs no information). Overestimation of PSA merits was more common than underestimation (7.9% vs 3.8%). CONCLUSIONS: Mens' knowledge of the benefits of screening varies with education, predicts satisfaction with care and the desire to complain, and may be improved through greater involvement in decision-making.

CRISPR-Cas9 genome and long non-coding RNAs as a novel diagnostic index for prostate cancer therapy via liposomal-coated compounds.

CRISPR/Cas9 is a recently discovered genomic editing technique that altered scientist's sight in studying genes function. Cas9 is controlled via guide (g) RNAs, which match the DNA targeted in cleavage to modify the respective gene. The development in prostate cancer (PC) modeling directed not only to novel resources for recognizing the signaling pathways overriding prostate cell carcinoma, but it has also created a vast reservoir for complementary tools to examine therapies counteracting this type of cancer. Various cultured somatic rat models for prostate cancer have been developed that nearly mimic human prostate cancer. Nano-medicine can passively target cancer cells via increasing bioavailability and conjugation via specific legend, contributing to reduced systemic side-effects and increased efficacy. This article highlights liposomal loaded Nano-medicine as a potential treatment for prostate cancer and clarifies the CRISPR/Cas9 variation accompanied with prostate cancer. PC is induced experimentally in western rat model via ethinyl estradiol for 4 weeks and SC. dose of 3, 2'- dimethyl-4-aminobiphenyl estradiol (DAE) (50mg/kg) followed by treatment via targeted liposomal-coated compounds such as liposomal dexamethasone (DXM), liposomal doxorubicin (DOX) and liposomal Turmeric (TUR) (3mg/kg IP) for four weeks in a comparative study to their non-targeted analogue dexamethasone, doxorubicin and Turmeric. 3, 2'- dimethyl-4-aminobiphenylestradiol elicit prostate cancer in western rats within 5 months. Simultaneous supplementations with these liposomal compounds influence on prostate cancer; tumor markers were investigated via prostate-specific antigen (PSA), Nitric oxide (NOX) and CRISPR/Cas9 gene editing. Several long non-coding RNAs were reported to be deregulated in prostate cell carcinoma, including MALAT1. On the other hand, gene expression of apoptotic biomarkers focal adhesion kinase (AKT-1), phosphatidylinistol kinase (PI3K) and glycogen synthase kinase-3 (GSK-3) was also investigated and further confirming these results via histopathological examination. Liposomal loaded dexamethasone; doxorubicin and Turmeric can be considered as promising therapeutic agents for prostate cancer via modulating CRISPR/Cas9 gene editing and long non coding gene MALAT1.

Waiting Times in Prostate Cancer Diagnosis and Treatment: A Ten-Year Experience in A Nigerian Teaching Hospital.

INTRODUCTION: Prostate cancer is still the leading male cancer and the leading cause of cancer deaths in Nigeria, and other low- and middle-income countries (LMIC) in Sub-Saharan Africa. Early diagnosis is essential to ensuring prompt treatment and reducing morbidity and mortality. Reducing the waiting times for diagnosis and treatment is therefore important. AIMS AND OBJECTIVES: To study prostate cancer management waiting times, to serve as a baseline in improving the quality of cancer care in the Nigerian populace. PATIENTS AND METHODS: This was a ten-year retrospective study of waiting times of all histologically-confirmed prostate cancer patients seen at Alex-Ekwueme Federal Teaching Hospital, Abakaliki, Ebonyi State, Nigeria. Statistical analysis was done SPSS version 26. A P-value less than 0.05 was considered statistically significant. RESULTS: however, 73 patients with complete data were analysed. The mean age of the patients was 71.48±8.16 years. The median duration of symptoms before presentation was 6 months. The mean total prostate-specific antigen was 82.08±54.9ng/mL. The mean duration between the first visit to the definitive diagnosis was 6.53±11.68 months with a median of 1 month. The median duration from visit to treatment was 3 months with a mean of 9.71±13.4 months. There were no associations between occupation, highest educational level, financial constraints, and the different waiting times studied (P>0.05). CONCLUSION: The waiting times for prostate cancer management were unduly prolonged in this study; patient-related factors did not influence this wait. INTRODUCTION: Le cancer de la prostate est toujours le principal cancer chez les hommes et la principale cause de décès par cancer au Nigéria et dans d'autres pays à revenu faible et intermédiaire (PFR) en Afrique subsaharienne. Un diagnostic précoce est essentiel pour garantir un traitement rapide et réduire la morbidité et la mortalité. Il est donc important de réduire les délais d'attente pour le diagnostic et le traitement. OBJECTIFS: Étudier les délais d'attente dans la prise en charge du cancer de la prostate, afin de servir de référence pour améliorer la qualité des soins contre le cancer dans la population nigériane. PATIENTS ET MÉTHODES: Il s'agit d'une étude rétrospective de dix ans sur les délais d'attente de tous les patients atteints de cancer de la prostate confirmé histologiquement et traités à l'hôpital universitaire fédéral Alex-Ekwueme, à Abakaliki, dans l'État d'Ebonyi, au Nigéria. L'analyse statistique a été réalisée avec la version 26 du logiciel SPSS. Une valeur de P inférieure à 0,05 a été considérée comme statistiquement significative. RÉSULTATS: Un total de 189 patients ont présenté un cancer de la prostate ; cependant, seuls les 73 patients avec des données complètes ont été analysés. L'âge moyen des patients était de 71,48±8,16 ans. La durée médiane des symptômes avant la présentation était de 6 mois. La concentration moyenne d'antigène spécifique de la prostate (PSA) total était de 82,08±54,9 ng/mL. La durée moyenne entre la première visite et le diagnostic définitif était de 6,53±11,68 mois, avec une médiane de 1(1) mois. La durée médiane entre la visite et le traitement était de 3 mois, avec une moyenne de 9,71±13,4 mois. Aucune association n'a été observée entre l'occupation, le plus haut niveau d'éducation, les contraintes financières et les différents délais d'attente étudiés (P>0,05). CONCLUSION: Les délais d'attente pour la prise en charge du cancer de la prostate étaient anormalement prolongés dans cette étude ; les facteurs liés au patient n'ont pas influencé cette attente. MOTS-CLÉS: Cancer de la prostate, Délai d'attente, Délai, Diagnostic, Traitement.

The effect of unusual presentation on delayed diagnosis of prostate cancer: a case series.

BACKGROUND: Early diagnosis of prostate cancer is key to achieving a cure and its proper management leads to a good prognosis. In Ghana a large percentage of patients present with advanced disease and unusual presentations in these patients result in greater delay in the diagnosis thus worsening the outcomes. CASE PRESENTATION: We present three African males with advanced prostate cancer who had delayed diagnosis. The first patient, a 64 year old male presented with ascites of 2 years duration with weight loss and no lower urinary tract symptoms, the second, a 69 year old man with end stage renal failure of 6 months duration and was receiving dialysis, the third case, an 87 year old man was managed for pulmonary tuberculosis after he presented with chronic cough and lower urinary tract symptoms. All patients eventually had a prostate specific antigen done which were elevated. Further investigations including prostate biopsies, abdominopelvic CT scans for case 1, abdominopelvic ultrasound, prostate biopsies and blood urea and electrolytes for case 2, prostate biopsies, chest and lumbosacral showed a diagnosis of metastatic prostate carcinoma, and all patients were managed with androgen deprivation. The second patient received additional radiotherapy. CONCLUSION: A lack of knowledge of prostate cancer symptoms including unusual symptoms, can result in delayed diagnosis especially in regions of the world where a large number of patients present with advanced disease.

Evaluation of miR-148a-3p and miR-106a-5p as Biomarkers for Prostate Cancer: Pilot Study.

MicroRNAs (miRNAs) are a class of small non-coding RNAs that may function as tumor suppressors or oncogenes. Alteration of their expression levels has been linked to a range of human malignancies, including cancer. The objective of this investigation is to assess the relative expression levels of certain miRNAs to distinguish between prostate cancer (PCa) from benign prostatic hyperplasia (BPH). Blood plasma was collected from 66 patients diagnosed with BPH and 58 patients with PCa. Real-time PCR technology was used to evaluate the relative expression among the two groups for miR-106a-5p and miR-148a-3p. The significant downregulation of both miRNAs in plasma from PCa versus BPH patients suggests their potential utility as diagnostic biomarkers for distinguishing between these conditions. The concurrent utilization of these two miRNAs slightly enhanced the sensitivity for discrimination among the two analyzed groups, as shown in ROC curve analysis. Further validation of these miRNAs in larger patient cohorts and across different stages of PCa may strengthen their candidacy as clinically relevant biomarkers for diagnosis and prognosis.

Metabolomics and Proteomics in Prostate Cancer Research: Overview, Analytical Techniques, Data Analysis, and Recent Clinical Applications.

Prostate cancer (PCa) is a significant global contributor to mortality, predominantly affecting males aged 65 and above. The field of omics has recently gained traction due to its capacity to provide profound insights into the biochemical mechanisms underlying conditions like prostate cancer. This involves the identification and quantification of low-molecular-weight metabolites and proteins acting as crucial biochemical signals for early detection, therapy assessment, and target identification. A spectrum of analytical methods is employed to discern and measure these molecules, revealing their altered biological pathways within diseased contexts. Metabolomics and proteomics generate refined data subjected to detailed statistical analysis through sophisticated software, yielding substantive insights. This review aims to underscore the major contributions of multi-omics to PCa research, covering its core principles, its role in tumor biology characterization, biomarker discovery, prognostic studies, various analytical technologies such as mass spectrometry and Nuclear Magnetic Resonance, data processing, and recent clinical applications made possible by an integrative "omics" approach. This approach seeks to address the challenges associated with current PCa treatments. Hence, our research endeavors to demonstrate the valuable applications of these potent tools in investigations, offering significant potential for understanding the complex biochemical environment of prostate cancer and advancing tailored therapeutic approaches for further development.