Xiong Xin, Wang Xin, Liu Cui-Cui, Shao Zhi-Ming, Yu Ke-Da
Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Cancer Institute, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Department of Anesthesiology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Biomark Res. 2024 Sep 18;12(1):107. doi: 10.1186/s40364-024-00654-1.
As one of the most common tumors in women, the pathogenesis and tumor heterogeneity of breast cancer have long been the focal point of research, with the emergence of tumor metastasis and drug resistance posing persistent clinical challenges. The emergence of single-cell sequencing (SCS) technology has introduced novel approaches for gaining comprehensive insights into the biological behavior of malignant tumors. SCS is a high-throughput technology that has rapidly developed in the past decade, providing high-throughput molecular insights at the individual cell level. Furthermore, the advent of multitemporal point sampling and spatial omics also greatly enhances our understanding of cellular dynamics at both temporal and spatial levels. The paper provides a comprehensive overview of the historical development of SCS, and highlights the most recent advancements in utilizing SCS and spatial omics for breast cancer research. The findings from these studies will serve as valuable references for future advancements in basic research, clinical diagnosis, and treatment of breast cancer.
作为女性最常见的肿瘤之一，乳腺癌的发病机制和肿瘤异质性长期以来一直是研究的焦点，肿瘤转移和耐药性的出现给临床带来了持续的挑战。单细胞测序（SCS）技术的出现为深入了解恶性肿瘤的生物学行为引入了新方法。SCS是一项在过去十年中迅速发展的高通量技术，可在单个细胞水平上提供高通量分子见解。此外，多时间点采样和空间组学的出现也极大地增强了我们在时间和空间层面上对细胞动态的理解。本文全面概述了SCS的历史发展，并重点介绍了利用SCS和空间组学进行乳腺癌研究的最新进展。这些研究结果将为乳腺癌基础研究、临床诊断和治疗的未来进展提供有价值的参考。
