Urologic cancers, including prostate, bladder, kidney, and testicular cancers, represent a significant burden on global public health. While advancements in diagnostics and treatments have improved outcomes for many patients, challenges remain in understanding the epidemiology of these cancers. Urologic cancer epidemiology encompasses the study of risk factors, incidence patterns, outcomes, and disparities related to these malignancies. Currently, there is a need to further explore the complex interplay of genetic, environmental, and lifestyle factors that contribute to urologic cancer development from a life course perspective. Additionally, addressing disparities in access to screening, diagnosis, and treatment among various populations is crucial for improving overall outcomes in urologic cancer care.

This Research Topic aims to shed light on the latest research and advancements in understanding the epidemiology of urologic cancers. By delving into novel approaches, cutting-edge methodologies, and emerging trends in urologic cancer epidemiology, this collection seeks to provide valuable insights that can guide future research directions and enhance clinical practice. Our goal is to facilitate a deeper understanding of the risk factors, prevention strategies, early detection methods, and personalized treatment approaches for urologic cancers while highlighting populations that have been previously underserved in urologic cancer epidemiology research. Through this curated collection, we aim to bridge gaps in knowledge and foster collaborations that will ultimately lead to improved outcomes for patients affected by urologic malignancies.

We welcome Original Research, Review, Mini Review and Perspective articles on themes including, but not limited to:
• Exploration of genetic and environmental risk factors in urologic cancer development
• Examination of socio-demographic disparities in urologic cancer incidence and outcomes
• Advancements in screening modalities for early detection of urologic cancers
• Integration of big data analytics and artificial intelligence in urologic cancer epidemiology
• Evaluation of survivorship and quality-of-life outcomes in urologic cancer patients
• Comparative studies on global trends and regional variations in urologic cancer epidemiology
• Application of precision prevention strategies and causal inference approaches using target trial emulation for tailored interventions and policy development

Please note manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases that are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of the scope of this Research Topic.

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Frontiers in Oncology

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