Zhang Hao, Hussin Hasmah, Hoh Chee-Choong, Cheong Shun-Hui, Lee Wei-Kang, Yahaya Badrul Hisham
Breast Cancer Translational Research Program (BCTRP@IPPT), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.
Department of Biomedical Sciences, Advanced Medical and Dental Institute (IPPT), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.
Digit Health. 2024 Nov 3;10:20552076241293695. doi: 10.1177/20552076241293695. eCollection 2024 Jan-Dec.
Breast cancer is the most prevalent and deadliest cancer among women globally, representing a major threat to public health. In response, the World Health Organization has established the Global Breast Cancer Initiative framework to reduce breast cancer mortality through global collaboration. The integration of big data analytics (BDA) and precision medicine has transformed our understanding of breast cancer's biological traits and treatment responses. By harnessing large-scale datasets - encompassing genetic, clinical, and environmental data - BDA has enhanced strategies for breast cancer prevention, diagnosis, and treatment, driving the advancement of precision oncology and personalised care. Despite the increasing importance of big data in breast cancer research, comprehensive studies remain sparse, underscoring the need for more systematic investigation. This review evaluates the contributions of big data to breast cancer precision medicine while addressing the associated opportunities and challenges. Through the application of big data, we aim to deepen insights into breast cancer pathogenesis, optimise therapeutic approaches, improve patient outcomes, and ultimately contribute to better survival rates and quality of life. This review seeks to provide a foundation for future research in breast cancer prevention, treatment, and management.
乳腺癌是全球女性中最常见、最致命的癌症，对公众健康构成重大威胁。作为回应，世界卫生组织制定了全球乳腺癌倡议框架，以通过全球合作降低乳腺癌死亡率。大数据分析（BDA）与精准医学的整合改变了我们对乳腺癌生物学特征和治疗反应的理解。通过利用包含基因、临床和环境数据的大规模数据集，BDA增强了乳腺癌预防、诊断和治疗策略，推动了精准肿瘤学和个性化医疗的发展。尽管大数据在乳腺癌研究中的重要性日益增加，但全面的研究仍然稀少，这凸显了进行更系统调查的必要性。本综述评估了大数据对乳腺癌精准医学的贡献，同时探讨了相关的机遇和挑战。通过应用大数据，我们旨在加深对乳腺癌发病机制的理解，优化治疗方法，改善患者预后，并最终提高生存率和生活质量。本综述旨在为乳腺癌预防、治疗和管理的未来研究提供基础。
