解读乳腺癌动态：多组学时代单细胞和空间分析的见解。
Deciphering breast cancer dynamics: insights from single-cell and spatial profiling in the multi-omics era.
发表日期：2024 Sep 18
作者：
Xin Xiong, Xin Wang, Cui-Cui Liu, Zhi-Ming Shao, Ke-Da Yu
来源：
Biomarker Research
摘要：
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）技术的出现引入了新方法来全面了解恶性肿瘤的生物学行为。 SCS 是一种在过去十年中迅速发展的高通量技术，可提供单个细胞水平的高通量分子见解。此外，多时相点采样和空间组学的出现也极大地增强了我们对时间和空间水平上细胞动力学的理解。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发展提供有价值的参考。© 2024。作者。
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.© 2024. The Author(s).