分子生物学
IVD分子诊断
细胞培养与分析
蛋白研究
细胞因子
重组蛋白
抗体
高通量测序建库
病原检测UCF系列
生物医药
工具酶
抑制剂激活剂与常用试剂
仪器
耗材

Solanum nigrum L.-derived nanovesicles as novel nanotherapeutics suppressing prostate cancer progression via senescence-based antitumor activity

Gan Miao, Feng Yufei, Xu Luhua, Chen Zetao, Zhong Fanjia, Liu Na, Huang Jiamei, Zhang Huizhen, Tu Jin, Yang Chao, Yang Rongfeng, Lin Fengxia

Journal:Bioresources and Bioprocessing

IF:6.3

DOI:10.1186/s40643-026-01055-y

PMID:42043639

Published:2026-04-27

research field:肿瘤学分子生物学植物来源治疗纳米医学癌症药理学

Abstract

Current therapies for prostate cancer are limited by toxicity and acquired resistance, motivating development of biocompatible nanotherapeutics. Here, Solanum nigrum L.-derived nanovesicles (SDNVs) were isolated and characterized, showing a mean diameter of 93.4 ± 0.2 nm and a particle concentration of (4.2 ± 0.4) × 10 11 /mL. SDNV uptake, antitumor activity, and safety were assessed in PC-3 and RWPE-1 cells, while efficacy and biodistribution were further evaluated in a subcutaneous PC-3 xenograft mouse model following oral administration. SDNVs were readily internalized by PC-3 cells and suppressed viability, proliferation, and migration while inducing apoptosis. Senescence and cytotoxicity were not observed in RWPE-1 cells, indicating tumor-selective activity. The underlying mechanism was further investigated by transcriptome sequencing, followed by quantitative PCR, Western blotting, and pharmacologic rescue with the p53 inhibitor pifithrin-α (PFT-α). Transcriptomic analysis revealed 5058 differentially expressed genes, and further indicated activation of the p53/p21 axis and promoted cellular senescence in PC-3 cells after SDNV treatment. In vivo, oral SDNVs significantly reduced xenograft growth and showed no evident histopathologic toxicity in major organs. Collectively, SDNVs represent a plant-derived, biocompatible nanotherapeutic platform that selectively restrains prostate cancer growth via p53/p21-mediated senescence, supporting further development of senescence-targeting SDNV-based interventions. Graphical abstract The alternative text for this image may have been generated using AI.

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