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A New Technique for Treating Low-risk Prostate Cancer—Super Active Surveillance
Published on: November 7, 2025
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Navigating the winding road toward precision prostate cancer care
Syed Rahman1, Adith S Arun2, Isaac Yi Kim1
1Department of Urology, Yale School of Medicine, New Haven, CT, United States.
Gene
|December 19, 2025
Summary
Metastatic castration-resistant prostate cancer (mCRPC) treatments are advancing with precision oncology. Future progress in prostate cancer precision medicine may be accelerated by leveraging multi-omics data and AI/ML.
Area of Science:
- Oncology
- Genomics
- Biotechnology
Background:
- Prostate cancer (PCa) is a leading cause of cancer mortality in U.S. men.
- Metastatic castration-resistant prostate cancer (mCRPC) poses significant treatment challenges despite androgen-receptor (AR)-targeted therapies.
Purpose of the Study:
- To review key developments in biomarker-driven therapies for mCRPC.
- To outline opportunities and challenges in advancing prostate cancer precision medicine.
- To propose a roadmap for utilizing multi-omics data and AI/ML in PCa research.
Main Methods:
- Review of recent advancements in biomarker-guided therapies for mCRPC.
- Analysis of current challenges and future opportunities in prostate cancer precision medicine.
- Conceptual framework for integrating multi-omics data with AI/ML for preclinical model development.
Main Results:
- Biomarker-driven therapies have significantly expanded treatment options for mCRPC.
- Precision oncology is transforming prostate cancer care.
- AI/ML and multi-omics data hold potential for accelerating translational research.
Conclusions:
- Continued advancements in precision oncology are crucial for improving mCRPC outcomes.
- Leveraging multi-omics data and AI/ML can accelerate the development of novel therapies and preclinical models.
- A strategic roadmap is needed to translate laboratory discoveries into clinical practice for mCRPC patients.

