Cellular plasticity and tumor ecosystem dynamics in prostate cancer: insights from single-cell and spatial...

Area of Science:

• Oncology
• Genomics
• Systems Biology

Background:

• Prostate cancer is a complex disease characterized by cellular heterogeneity and a dynamic tumor microenvironment.
• Recent technological advancements allow for detailed analysis of cellular states and their spatial organization within tumors.

Purpose of the Study:

• To review recent single-cell and spatial transcriptomic discoveries in prostate cancer.
• To discuss the implications of these findings for biomarker development and treatment strategies.
• To outline current technical challenges and future directions in the field.

Main Methods:

• Single-cell RNA sequencing (scRNA-seq)
• Single-nucleus sequencing (snRNA-seq)
• Spatial transcriptomics
• Multi-omics data integration

Main Results:

• Prostate cancer progression, including castration resistance and neuroendocrine phenotypes, is driven by lineage plasticity and epigenetic reprogramming.
• Tumor microenvironments feature immunosuppressive niches, diverse cancer-associated fibroblasts, activated endothelium, and metabolic adaptations contributing to therapeutic resistance.
• Integration of multi-omics data with spatial context is redefining prostate cancer classification based on cellular states and ecosystem architecture.

Conclusions:

• Single-cell and spatial analyses provide critical insights into prostate cancer heterogeneity and progression.
• These findings are crucial for developing novel biomarkers and refining treatment stratification for precision oncology.
• Addressing technical challenges in standardization, reproducibility, and scalability is essential for clinical translation.