PCA3 (Prostate cancer associated 3)

Despite slightly decreased performance, the TR-FRET nanoassay demonstrated reliable quantification of nanomolar PCA3 concentrations also in samples containing up to 50% of serum. These findings underscore the potential of Tb-to-QD FRET assays for rapid clinical prostate cancer diagnostics, offering a promising tool for the early detection of PCA3 in a noninvasive manner.

AI-assisted SELEX is a promising strategy for accelerating high-affinity aptamer discovery and assembling multiplex urinary panels for PCa, but current evidence is early phase, heterogeneous, and largely single-center. Priorities include standardized uEV processing, complete 2 × 2 diagnostic reporting, multicenter external validation, calibration and decision impact analyses, and harmonized LoD and Kd reporting frameworks.

Liquid biopsy demonstrates strong diagnostic and prognostic potential across GU cancers. While bladder and prostate cancer assays are most advanced, emerging evidence in UTUC and kidney cancer is encouraging. Prospective, longitudinal validation remains essential before widespread clinical adoption.

This narrative review demonstrates that although PSA remains the mainstay of prostate cancer diagnosis, emerging molecular and genomic biomarkers are enhancing diagnostic specificity, refining risk stratification, and enabling more personalized patient care. The integration of routinely used and novel biomarkers can improve early detection, optimize treatment decisions, and ultimately improve outcomes of prostate cancer patients.

Moreover, integrating multi‑omics data with artificial intelligence and machine learning may further improve early detection and personalized treatment strategies. Overall, the development and clinical implementation of these biomarkers represent a transformative step toward precision medicine in prostate cancer, enabling earlier diagnosis, optimized therapy selection and improved patient outcomes.

Key markers such as miR-141, miR-375, and PCA3 showed strong diagnostic and risk stratification value in PCa. This non-invasive approach holds promise for improving early detection and clinical risk assessment.

LINC01949 suppresses rituximab resistance in DLBCL by promoting H3K27me3-dependent silencing of ONECUT2. These findings highlight the LINC01949-H3K27me3-ONECUT2 axis as a key epigenetic pathway and suggest potential targets to overcome resistance in DLBCL.

This study is the first to explore nisin's anticancer effects in prostate cancer, uniquely targeting PCA3 lncRNA and its downstream regulatory pathways. Nisin demonstrates potent anticancer effects in prostate cancer cells by inducing apoptosis, arresting cell cycle progression, and modulating the PCA3 lncRNA network, suggesting its potential as a novel therapeutic agent.

They can be used alone or in combination with blood PSA and/or semen citric acid levels to improve the diagnosis of PCa and assess its severity and disease progression with high accuracy. This strategy would allow a more comprehensive assessment, increase prognostic accuracy, and facilitate accurate clinical decision-making in the management of PCa.

The T2WI and DWI radiomics model, when combined with novel biomarkers, enhances the accuracy of distinguishing PCa, BPH, and prostatitis. This approach may provide an advanced diagnostic tool for personalised prostate disease management.

Therapeutic approaches-antagomirs, sponges, miRNA masks, and CRISPR editing-show preclinical promise, while chemical modifications [peptide nucleic acids (PNAs), locked nucleic acids (LNAs), C2' modifications] improve stability and delivery but remain limited by biodistribution, tissue penetration, off-target effects, and immunogenicity. In conclusion, standardized workflows and multicenter validation, integrated with clinical and imaging data, are essential to translate miRNA-based tools into precision PC management.

The proposed sensor effectively recognized PCA3 biomarkers in real urine amidst various interferents. In the future, the sensing platform could improve the prognosis of the disease by enabling early-stage identification.