PCaLiStDB is the first database focus on a specific disease related lifestyles. It integrates possible lifestyles and lifestyle-related factors included foods, nutrients, habits, social factors, environment, associated genes, physiological and biochemical indexes together with the corresponding diseases or drugs. It provides a Lifestyle-Wide Association Studies of PCa (PCa_LWAS), seeking to identify the systematic and deep-seated studies between lifestyles and PCa, and to study the profound benefits achievable with lifestyle changes and to tell people “what to do”, “how to do” and to continue developing ways to encourage choices that promote human health.
The ultimate goal is to accelerate the translation of LWAS discoveries into results that are closer to clinical applications, to obtain the accurate predictive models for prostate cancer prevention based on evidence-based personalized lifestyle-related data.
AI and Prostate Cancer
Just diagnosed with prostate cancer
Prostate Cancer Will Recur in 40%-50% of Patients After Initial Treatment
Should SBRT be THE preferred treatment for intermediate risk prostate cancer?
Milk and prostate cancer recurrence
