Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Beijing Tumour Minimally Invasive Medical Center of Integrated Traditional Chinese and Western Medicine, Beijing, 101121, China.
Cell Mol Biol Lett. 2023 May 9;28(1):38. doi: 10.1186/s11658-023-00450-z.
Prostate cancer is one of the more heterogeneous tumour types. In recent years, with the rapid development of single-cell sequencing and spatial transcriptome technologies, researchers have gained a more intuitive and comprehensive understanding of the heterogeneity of prostate cancer. Tumour-associated epithelial cells; cancer-associated fibroblasts; the complexity of the immune microenvironment, and the heterogeneity of the spatial distribution of tumour cells and other cancer-promoting molecules play a crucial role in the growth, invasion, and metastasis of prostate cancer. Single-cell multi-omics biotechnology, especially single-cell transcriptome sequencing, reveals the expression level of single cells with higher resolution and finely dissects the molecular characteristics of different tumour cells. We reviewed the recent literature on prostate cancer cells, focusing on single-cell RNA sequencing. And we analysed the heterogeneity and spatial distribution differences of different tumour cell types. We discussed the impact of novel single-cell omics technologies, such as rich omics exploration strategies, multi-omics joint analysis modes, and deep learning models, on future prostate cancer research. In this review, we have constructed a comprehensive catalogue of single-cell omics studies in prostate cancer. This article aimed to provide a more thorough understanding of the diagnosis and treatment of prostate cancer. We summarised and proposed several key issues and directions on applying single-cell multi-omics and spatial transcriptomics to understand the heterogeneity of prostate cancer. Finally, we discussed single-cell omics trends and future directions in prostate cancer.
前列腺癌是一种异质性较高的肿瘤类型。近年来,随着单细胞测序和空间转录组技术的快速发展,研究人员对前列腺癌的异质性有了更直观、更全面的认识。肿瘤相关上皮细胞;癌相关成纤维细胞;免疫微环境的复杂性,以及肿瘤细胞和其他促进肿瘤生长的分子的空间分布异质性,在前列腺癌的生长、侵袭和转移中起着至关重要的作用。单细胞多组学生物技术,特别是单细胞转录组测序,以更高的分辨率揭示了单细胞的表达水平,并精细剖析了不同肿瘤细胞的分子特征。我们回顾了最近关于前列腺癌细胞的文献,重点关注单细胞 RNA 测序。并分析了不同肿瘤细胞类型的异质性和空间分布差异。我们讨论了新型单细胞组学技术,如丰富的组学探索策略、多组学联合分析模式和深度学习模型,对未来前列腺癌研究的影响。在这篇综述中,我们构建了一个全面的前列腺癌单细胞组学研究目录。本文旨在更深入地了解前列腺癌的诊断和治疗。我们总结并提出了应用单细胞多组学和空间转录组学来理解前列腺癌异质性的几个关键问题和方向。最后,我们讨论了前列腺癌中单细胞组学的趋势和未来方向。