Cen Xiaoping, Lan Yuanyuan, Zou Jiansheng, Chen Ruilin, Hu Can, Tong Yahan, Zhang Chen, Chen Jingyue, Wang Yuanmei, Zhou Run, He Weiwei, Lu Tianyu, Dubee Fred, Jovic Dragomirka, Dong Wei, Gao Qingqing, Ma Man, Lu Youyong, Xue Yu, Cheng Xiangdong, Li Yixue, Yang Huanming
College of Life Sciences, University of Chinese Academy of Sciences, Beijing, P. R. China.
HIM-BGI Omics Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences (CAS), Hangzhou, Zhejiang, P. R. China.
Cancer Commun (Lond). 2025 Jul;45(7):728-746. doi: 10.1002/cac2.70008. Epub 2025 Mar 22.
Advances in multi-omics datasets and analytical methods have revolutionized cancer research, offering a comprehensive, pan-cancer perspective. Pan-cancer studies identify shared mechanisms and unique traits across different cancer types, which are reshaping diagnostic and treatment strategies. However, continued innovation is required to refine these approaches and deepen our understanding of cancer biology and medicine. This review summarized key findings from pan-cancer research and explored their potential to drive future advancements in oncology.
多组学数据集和分析方法的进展彻底改变了癌症研究，提供了一个全面的泛癌视角。泛癌研究确定了不同癌症类型之间的共同机制和独特特征，正在重塑诊断和治疗策略。然而，需要持续创新来完善这些方法，并加深我们对癌症生物学和医学的理解。本综述总结了泛癌研究的关键发现，并探讨了它们推动肿瘤学未来进展的潜力。
