Urological cancers, including those of the prostate, bladder, and kidneys, are a major health concern. In the United States alone, over 351,000 new cases and more than 67,000 deaths are expected in 2020 [1]. Prostate cancer remains the most common cancer among men in the U.S. There's a significant need for advanced methods to study these cancers and improve treatment outcomes, which remains a key goal for researchers globally.
Overall, CR and other patient-derived models are transforming how we approach urological cancer research, offering new ways to study the disease, develop drugs, and create more effective treatments. These advancements hold promise for better understanding and managing urological cancers, potentially leading to improved patient outcomes.
Conditional reprogramming: Modeling urological cancer and translation to clinics
Patient-derived conditional reprogramming (CR) lets cells grow indefinitely, aiding in studying cancer, developing treatments, and advancing personalized medicine. This approach shows promise for improving urological cancer treatment.
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Cancer
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