Single-cell omics traces the heterogeneity of prostate cancer cells and the tumor microenvironment

被引:0
作者
Xudong Yu
Ruijia Liu
Wenfeng Gao
Xuyun Wang
Yaosheng Zhang
机构
[1] Beijing University of Chinese Medicine,Dongzhimen Hospital
[2] Beijing Tumour Minimally Invasive Medical Center of Integrated Traditional Chinese and Western Medicine,Beijing Hospital of Traditional Chinese Medicine
[3] Capital Medical University,undefined
来源
Cellular & Molecular Biology Letters | / 28卷
关键词
Prostate cancer; Single-cell omics; Spatial transcriptomics; Heterogeneity;
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摘要
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.
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