Abstract: Prostate cancer is one of the more heterogeneous tumor 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. Tumor-associated epithelial cells; cancer-associated fibroblasts; the complexity of the immune microenvironment, and the heterogeneity of the spatial distribution of tumor cells and other cancer-promoting mols. play a crucial role in the growth, invasion, and metastasis of prostate cancer. Single-cell multi-omics biotechnol., especially single-cell transcriptome sequencing, reveals the expression level of single cells with higher resolution and finely dissects the mol. characteristics of different tumor cells. We reviewed the recent literature on prostate cancer cells, focusing on single-cell RNA sequencing. And we analyzed the heterogeneity and spatial distribution differences of different tumor cell types. We discussed the impact of novel single-cell omics technologies, such as rich omics exploration strategies, multi-omics joint anal. modes, and deep learning models, on future prostate cancer research. In this review, we have constructed a comprehensive catalog 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.