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May 25, 2026MedComm0 citationsOpen Access

Single‐Cell and Spatial Transcriptomics Uncover Immune Dynamics and Cellular Heterogeneity in Benign Prostatic Hyperplasia and Prostate Cancer Transition

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YLYuanyuan LuoHZHaitao ZhongTSTongrui Shang

Key Points

  • The aim is to understand the relationship between benign prostatic hyperplasia and prostate cancer in terms of immune dynamics and cellular changes.
  • Used single-cell RNA sequencing and spatial transcriptomics to analyze tissues from patients with normal, BPH, and prostate cancer.
  • Focused on the immune cell infiltration and functional status within prostate lesions.
  • Found significant T cell infiltration but with signs of activation retardation and functional exhaustion.
  • Identified M2-polarized macrophages and activated inflammatory pathways related to immune escape.
  • Developed classification and prognostic models to aid in personalized therapies and early diagnosis of prostate cancer.

Abstract

ABSTRACT Prostate cancer (PCa) is frequently accompanied by benign prostatic hyperplasia (BPH), highlighting the need to reassess their correlation in tumor risk, malignant progression, and immune status to improve the early diagnosis and treatment of PCa. In this study, single‐cell RNA sequencing and spatial transcriptomics were used to analyze the potential association between normal, BPH, and PCa tissues. Our study revealed a continuous transformation map of luminal epithelial cells from hyperplasia to malignancy in BPH and PCa, accompanied by a persistently suppressive immune microenvironment. In the lesion nodules, T cells showed a high degree of infiltration yet showed activation retardation and functional exhaustion. Macrophages were also significantly infiltrated, exhibiting significant M2 polarization characteristics, and inflammatory signaling pathways related to immune escape were activated. Natural killer (NK) cells and B cells were partially activated, yet the low abundance of NK cells and B cells resulted in functional limitations. Our results revealed the dynamic changes of the immune landscape during the occurrence and progression of PCa. Our classification and prognostic models provide a theoretical basis for immunomodulatory and personalized therapies and provide new tools for the early diagnosis and intervention of PCa.

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Cite This Study

Luo et al. (2026) studied this question.

synapsesocial.com/papers/6a13e83b0e02ee3982d32f1ehttps://doi.org/10.1002/mco2.70760
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