Spatial and single-cell multi-omics reveal pro-angiogenic THY1⁺ fibroblast subtypes predicting prognosis in prostate cancer

空间和单细胞多组学揭示促血管生成的THY1⁺成纤维细胞亚型可预测前列腺癌的预后

阅读:5

Abstract

BACKGROUND: Cancer-associated fibroblasts (CAFs) play a key role in prostate cancer (PCa) progression, though their heterogeneity and specific protumorigenic subsets remain poorly characterized. This study aimed to identify and validate a distinct THY1⁺ CAF subset associated with aggressive PCa. METHODS: Multiomics data from public (TCGA-PRAD, GEO) and prospective (FUSCC, n = 84) cohorts were analyzed. An 8-gene CAF-derived prognostic signature was constructed using LASSO Cox regression. THY1⁺ CAF clusters were identified via scRNA-seq. Primary CAFs were isolated from patient tissues, and THY1⁺/THY1⁻ subpopulations were purified via MACS/FACS. Angiogenic function and secretory profiles were assessed through tube formation assays, ELISA, and antibody arrays. THY1 knockdown and CXCR2 inhibition were used for mechanistic studies. Clinical relevance was evaluated via qPCR and multiplex immunohistochemistry on tissue microarrays. RESULTS: High CAF abundance correlated with aggressive clinicopathological features and poor prognosis in PCa. The 8-gene signature effectively predicted biochemical recurrence (BCR). scRNA-seq revealed THY1⁺ CAFs as a proangiogenic subpopulation. THY1⁺ CAFs enhanced angiogenesis via increased secretion of CXCL6 and VEGFA. CXCL6 promoted endothelial tube formation through CXCR2 activation, while THY1 knockdown downregulated VEGFA and impaired angiogenesis. High THY1⁺ CAF infiltration was associated with significantly worse recurrence-free survival. CONCLUSION: THY1⁺ CAFs represent a proangiogenic subset that drives PCa progression via the CXCL6/CXCR2 axis and THY1-mediated VEGFA expression. These findings highlight stromal THY1 and the CXCL6/CXCR2 pathway as potential therapeutic targets.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。