Document detail
ID

doi:10.1038/s41416-024-02761-0...

Author
Lin, Bing-Biao Huang, Qingqing Yan, Binyuan Liu, Mingcheng Zhang, Zhiqian Lei, Hanqi Huang, Ronghua Dong, Jin-Tang Pang, Jun
Langue
en
Editor

Nature

Category

Epidemiology

Year

2024

listing date

7/17/2024

Keywords
prostate scores cancer raecs resistance castration raecsig recurrence
Metrics

Abstract

Background The prognostic and therapeutic implications of endothelial cells (ECs) heterogeneity in prostate cancer (PCa) are poorly understood.

Methods We investigated associations of EC heterogeneity with PCa recurrence and castration resistance in 8 bulk transcriptomic and 4 single-cell RNA-seq cohorts.

A recurrence-associated EC (RAEC) signature was constructed by comparing 11 machine learning algorithms through nested cross-validation.

Functional relevances of RAEC-specific genes were also tested.

Results A subset of ECs was significantly associated with recurrence in primary PCa and named RAECs.

RAECs were characteristic of tip and immature cells and were enriched in migration, angiogenesis, and collagen-related pathways.

We then developed an 18-gene RAEC signature (RAECsig) representative of RAECs.

Higher RAECsig scores independently predicted tumor recurrence and performed better or comparably compared to clinicopathological factors and commercial gene signatures in multiple PCa cohorts.

Of the 18 RAECsig genes, FSCN1 was upregulated in ECs from PCa with higher Gleason scores; and the silencing of FSCN1, TMEME255B, or GABRD in ECs either attenuated tube formation or inhibited PCa cell proliferation.

Finally, higher RAECsig scores predicted castration resistance in both primary and castration-resistant PCa.

Conclusion This study establishes an endothelial signature that links a subset of ECs to prostate cancer recurrence and castration resistance.

Lin, Bing-Biao,Huang, Qingqing,Yan, Binyuan,Liu, Mingcheng,Zhang, Zhiqian,Lei, Hanqi,Huang, Ronghua,Dong, Jin-Tang,Pang, Jun, 2024, An 18-gene signature of recurrence-associated endothelial cells predicts tumor progression and castration resistance in prostate cancer, Nature

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