Guest Editors
Dr. Run Shi
Email: shirun@njmu.edu.cn
Affiliation: Department of Oncology, The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital), Nanjing 210029, Jiangsu, China
Homepage:
Research Interests: urological malignancy
Summary
Background and Importance
Urological malignancies, encompassing cancers of the kidney, bladder, prostate, and urinary tract, pose significant challenges to global public health. Their complex pathophysiology, intricate molecular mechanisms, and heterogeneous clinical presentations necessitate a comprehensive and multi-faceted approach to enhance diagnosis, treatment, and patient outcomes. In recent years, advancements in molecular biology, genomics, and bioinformatics have unveiled a wealth of information regarding the molecular underpinnings of urological cancers. These discoveries have paved the way for the development of novel diagnostic biomarkers and targeted therapeutic agents. However, effectively translating these research breakthroughs into clinical practice requires a seamless integration of multidisciplinary insights. By bridging the gap between molecular research and precision clinical practice, we can foster a more personalized and effective approach to managing urological malignancies, ultimately improving patients' quality of life and survival rates.
Aim and Scope
This special issue serves as a cutting-edge platform for researchers, clinicians, and scientists to share their latest findings, insights, and experiences in the multidisciplinary field of urological oncology. It seeks to highlight the critical interplay between molecular research and clinical practice, emphasizing the importance of collaborative efforts across various disciplines. The scope of this special issue encompasses a wide range of topics, including but not limited to molecular mechanisms of urological malignancies, novel diagnostic and prognostic biomarkers, emerging therapeutic strategies, precision medicine approaches, clinical trial updates, and multidisciplinary management models. By consolidating high-quality research articles, review papers, and case reports, this special issue aspires to provide a comprehensive overview of the current landscape and future directions in integrating multidisciplinary insights into the field of urological oncology.
Suggested Themes
1）Molecular Mechanisms and Biomarkers: Exploration of the genetic, epigenetic, and proteomic alterations underlying urological malignancies, identification of novel biomarkers for early detection, risk stratification, and treatment response prediction.
2）Precision Therapies and Targeted Approaches: Development and evaluation of targeted therapies, immunotherapies, and personalized treatment regimens based on molecular profiling of tumors, discussion on overcoming treatment resistance, and optimizing therapeutic outcomes.
3）Multidisciplinary Management Models: Case studies and clinical experiences highlighting the benefits of collaborative care involving urologists, medical oncologists, radiation oncologists, pathologists, radiologists, and other healthcare professionals, analysis of multidisciplinary team-based approaches in treatment decision-making, and patient management.
4）Clinical Trials and Research Methodology: Updates on ongoing and recently completed clinical trials in urological oncology, innovative research designs and methodologies to accelerate the translation of molecular discoveries into clinical applications, and evaluation of biomarker-driven clinical trials and their impact on patient care.
5）Technological Advancements and Applications: Application of advanced technologies such as next-generation sequencing, liquid biopsy, artificial intelligence, and imaging techniques in the diagnosis, monitoring, and treatment of urological malignancies, exploration of digital health tools, and telemedicine in urological oncology care.
Keywords
urological cancer, bladder cancer, prostate cancer, renal cell carcinoma, precision medicine, targeted therapy, immunotherapy, translational oncology, artificial intelligence in urology
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