Single‐Cell and Bulk RNA Sequencing Highlights Intra‐Tumoral Heterogeneity and Malignant Progression Mechanisms in Prostate Cancer

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Discussion

Analysis shows that intra-tumoral heterogeneity affects prognosis in prostate cancer, indicating potential therapeutic targets.

Prostate cancer prognosis improves by identifying an 11-gene signature linked to intra-tumoral heterogeneity.
Machine learning methods generated a gene signature with superior prognostic value across multiple cohorts.
Single-cell RNA sequencing analysis utilized sub-clustering and drug sensitivity approaches to assess tumor behavior.
The study enhances understanding of prostate cancer mechanisms, highlighting potential for targeted therapies.

Wu et al. (2025) studied this question.

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