Moffitt Laura R, Karimnia Nazanin, Wilson Amy L, Stephens Andrew N, Ho Gwo-Yaw, Bilandzic Maree
Hudson Institute of Medical Research, Clayton 3168, Australia.
Department of Molecular and Translational Sciences, Monash University, Clayton 3168, Australia.
Curr Oncol. 2024 Dec 18;31(12):8023-8038. doi: 10.3390/curroncol31120592.
Precision medicine has revolutionised targeted cancer treatments; however, its implementation in ovarian cancer remains challenging. Diverse tumour biology and extensive heterogeneity in ovarian cancer can limit the translatability of genetic profiling and contribute to a lack of biomarkers of treatment response. This review addresses the barriers in precision medicine for ovarian cancer, including obtaining adequate and representative tissue samples for analysis, developing functional and standardised screening methods, and navigating data infrastructure and management. Ethical concerns related to patient consent, data privacy and health equity are also explored. We highlight the socio-economic complexities for precision medicine and propose strategies to overcome these challenges with an emphasis on accessibility and education amongst patients and health professionals and the development of regulatory frameworks to support clinical integration. Interdisciplinary collaboration is essential to drive progress in precision medicine to improve disease management and ovarian cancer patient outcomes.
精准医学彻底改变了癌症的靶向治疗;然而,其在卵巢癌中的应用仍然具有挑战性。卵巢癌多样的肿瘤生物学特性和广泛的异质性会限制基因谱分析的可转化性,并导致缺乏治疗反应的生物标志物。本综述探讨了卵巢癌精准医学中的障碍,包括获取足够且具有代表性的组织样本进行分析、开发功能性和标准化的筛查方法,以及应对数据基础设施和管理问题。还探讨了与患者同意、数据隐私和健康公平相关的伦理问题。我们强调了精准医学的社会经济复杂性,并提出了克服这些挑战的策略,重点是提高患者和医疗专业人员的可及性和教育水平,以及制定支持临床整合的监管框架。跨学科合作对于推动精准医学进展以改善疾病管理和卵巢癌患者的治疗效果至关重要。