K Revathi Unni, Elango Amrisa Pavithra, Subramanian Roobanayaki, Ks Santhy
Department of Zoology, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India.
Curr Treat Options Oncol. 2025 Jun 9. doi: 10.1007/s11864-025-01331-7.
Ovarian Cancer (OC) is a serious health problem that affects a great number of women globally. It is still one of the deadliest gynecological cancers due to restricted treatment choices and late-stage diagnosis. Worldwide, OC ranks as the seventh most commonly diagnosed kind of malignant neoplasm in women and the eighth leading cause of death in them. Because of several reasons such as genetic and economic ones, the epidemiology of OC shows disparities between races and countries. Lack of public screening program makes it difficult to diagnose this cancer earlier and as a result, most OCs are detected after they have progressed to other parts. However, advances in biotechnology and artificial intelligence (AI) are transforming both early detection and treatment strategies. Over the years, the application of AI in OC screening has shown promising results. The best way to get the drawbacks of traditional treatment methods is to combine newly developed strategies with existing treatment choices. Additionally, clinical researches are crucial to ensure the practical implementation of these advancements in healthcare settings. Utilizing state-of-the-art technologies and creative strategies will offer significant opportunity to lessen the worldwide impact of this curable cancer thereby enhancing women's quality of life in low and middle income countries (LMICs) and beyond. Hence, this review explores recent breakthroughs in ovarian cancer screening and therapy, highlighting the synergistic role of biotechnology and AI in improving patient outcomes that reshapes the ovarian cancer treatment landscape.
卵巢癌（OC）是一个严重的健康问题，在全球影响着大量女性。由于治疗选择有限和晚期诊断，它仍然是最致命的妇科癌症之一。在全球范围内，OC在女性中是第七大最常被诊断出的恶性肿瘤类型，也是女性死亡的第八大主要原因。由于遗传和经济等多种原因，OC的流行病学在种族和国家之间存在差异。缺乏公共筛查项目使得早期诊断这种癌症变得困难，因此，大多数OC在扩散到身体其他部位后才被发现。然而，生物技术和人工智能（AI）的进步正在改变早期检测和治疗策略。多年来，AI在OC筛查中的应用已显示出有前景的结果。克服传统治疗方法缺点的最佳方式是将新开发的策略与现有的治疗选择相结合。此外，临床研究对于确保这些进展在医疗环境中的实际应用至关重要。利用最先进的技术和创新策略将提供重大机会，以减轻这种可治愈癌症对全球的影响，从而提高低收入和中等收入国家（LMICs）及其他地区女性的生活质量。因此，本综述探讨了卵巢癌筛查和治疗方面的最新突破，强调了生物技术和AI在改善患者预后方面的协同作用，这重塑了卵巢癌的治疗格局。
