Vakili Sanaz, Beheshti Iman, Barzegar Behrooz Amir, Łos Marek J, Vitorino Rui, Ghavami Saeid
Department of Human Anatomy and Cell Science, University of Manitoba College of Medicine, Winnipeg, MB R3E 3P5, Canada.
Biotechnology Center, Silesian University of Technology, 44-100 Gliwice, Poland.
Int J Mol Sci. 2025 Jun 4;26(11):5386. doi: 10.3390/ijms26115386.
Prostate cancer remains a major global health challenge, ranking as the second most common malignancy in men worldwide. Advances in diagnostic and therapeutic strategies have transformed its management, enhancing patient outcomes and quality of life. This review highlights recent breakthroughs in imaging, including multiparametric MRI and PSMA-PET, which have improved cancer detection and staging. Biomarker-based diagnostics, such as PHI and 4K Score, offer precise risk stratification, reducing unnecessary biopsies. Innovations in treatment, including robotic-assisted surgery, novel hormone therapies, immunotherapy, and PARP inhibitors, are redefining care for localized and advanced prostate cancer. Artificial intelligence (AI) and machine learning (ML) are emerging as powerful tools to optimize diagnostics, risk prediction, and treatment personalization. Additionally, advances in radiation therapy, such as IMRT and SBRT, provide targeted and effective options for high-risk patients. While these innovations have significantly improved survival and minimized overtreatment, challenges remain in optimizing therapy sequencing and addressing disparities in care. The integration of AI, theranostics, and gene-editing technologies holds immense promise for the future of prostate cancer management.
前列腺癌仍然是一项重大的全球健康挑战,在全球男性中是第二常见的恶性肿瘤。诊断和治疗策略的进步改变了其治疗方式,提高了患者的治疗效果和生活质量。本综述重点介绍了成像领域的最新突破,包括多参数MRI和PSMA-PET,这些技术改善了癌症的检测和分期。基于生物标志物的诊断方法,如前列腺健康指数(PHI)和4K评分,提供了精确的风险分层,减少了不必要的活检。治疗方面的创新,包括机器人辅助手术、新型激素疗法、免疫疗法和PARP抑制剂,正在重新定义局限性和晚期前列腺癌的治疗方式。人工智能(AI)和机器学习(ML)正在成为优化诊断、风险预测和治疗个性化的强大工具。此外,放射治疗的进展,如调强放射治疗(IMRT)和立体定向体部放射治疗(SBRT),为高危患者提供了有针对性的有效治疗选择。虽然这些创新显著提高了生存率并减少了过度治疗,但在优化治疗顺序和解决治疗差异方面仍存在挑战。人工智能、治疗诊断学和基因编辑技术的整合为前列腺癌治疗的未来带来了巨大希望。