Special Issues
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Advancing Early Detection of Prostate Cancer: Innovations, Challenges, and Future Directions

Submission Deadline: 30 June 2026 View: 498 Submit to Special Issue

Guest Editors

Prof. Yong Xu

Email: xuyong8816@sina.com

Affiliation: Department of Urology, the Second Hospital of Tianjin Medical University, Tianjin Institute of Urology, Tianjin 300211, China

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Research Interests: multimodal imaging-guided biopsy, mri/trus fusion precision biopsy, biomarker-driven precision diagnostics, ai-powered intelligent pathology, multidimensional risk stratification, biopsy complication management, lesion-targeted focal therapy

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Prof. Gang Song

Email: songgang@cicams.ac.cn

Affiliation: Department of Urology, National Cancer Center / National Clinical Research Center for Cancer / Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

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Research Interests: robotic radical prostatectomy MRI-ultrasound fusion prostate biopsy advanced prostate cancer management nephron-sparing kidney cancer surgery radical cystectomy

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Assoc. Prof. Xingkang Jiang

Email: jiangx@tmu.edu.cn

Affiliation: Department of Urology, the Second Hospital of Tianjin Medical University, Tianjin Institute of Urology, Tianjin 300211, China

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Research Interests: optimizing prostate biopsy techniques (MRI-targeted/regional biopsy, biopsy-free nomograms) to enhance significant cancer detection and reduce overdiagnosis. investigating non-coding RNAs (lncRNAs/circRNAs) in prostate cancer resistance to docetaxel/apalutamide via β-catenin/HIF-1α and c-Myc signaling pathways. exploring lncRNA/circRNA regulation of iron metabolism and ferroptosis in treatment resistance and heavy metal-induced carcinogenesis. analyzing real-world treatment strategies and outcomes in diverse prostate cancer populations (e.g., elderly, young-onset patients). developing urological devices (e.g., biopsy instruments) and AI-driven models for precision biopsy planning and treatment optimization

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Summary

Prostate cancer diagnosis faces critical challenges in balancing detection accuracy with overtreatment risks. Traditional methods like systematic biopsy and PSA testing lack precision, underscoring the urgent need for advanced diagnostic strategies.


This Special Issue explores transformative innovations in precision diagnosis of prostate cancer, focusing on, but not limited to, the following areas:
· MRI-Guided Targeted Biopsies and Perilesional Sampling Techniques
Advances in imaging-guided biopsy methods—including MRI/TRUS fusion and perilesional approaches—to optimize biopsy yield and reduce sampling errors
· Biopsy-Free Diagnostic Pathways
Development and validation of non-invasive diagnostic tools using liquid or tissue-based biomarkers (e.g., ExoDX, MyProstateScore) to minimize reliance on invasive procedures
· Molecular Biomarker Integration for Risk Stratification
Utilization of novel molecular signatures to enhance differentiation between clinically significant and indolent disease, enabling more personalized management strategies
· AI-Driven Imaging and Pathology Solutions
Implementation of artificial intelligence in imaging and pathology workflows to reduce diagnostic subjectivity and improve accuracy
· Complication-Mitigation Strategies for Biopsy Procedures
Innovations aimed at minimizing procedural risks such as infection, bleeding, and discomfort associated with prostate biopsies
· Cost-Effectiveness Analyses in Diverse Healthcare Settings
Evaluation of the clinical utility and economic viability of precision diagnostic approaches across different healthcare systems


We welcome original research articles, clinical investigations, and comprehensive reviews that emphasize clinical translation, real-world applicability, and global relevance. Submissions should contribute to the advancement of early detection strategies in prostate cancer—specifically those that minimize unnecessary interventions and overtreatment while ensuring accurate identification of clinically significant diseases.


Keywords

prostate cancer, early detection, diagnosis, dcreening, biomarkers, liquid biopsy, multiparametric MRI, PSMA-PET, artificial Intelligence, risk Stratification, active surveillance, precision medicine

Published Papers


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