BACKGROUND: Urinary extracellular vesicles (uEVs), directly secreted from bladder cancer (BCa) cells, harbor potential for biomarker discovery. METHODS: We performed proteomic analysis to explore and validate uEV-based diagnostic markers for BCa, with a focus on cytoplasmic EV proteins. Among the 1960 proteins identified by shotgun proteomics (tandem mass tag-labeled liquid chromatography-tandem mass spectrometry [LC-MS/MS]) of uEVs from seven patients with BCa and four healthy individuals, 17 cytoplasmic EV proteins were significantly elevated in the patients' urine (fold change >â1.5; pâ<â0.05). These 17 proteins were subsequently validated using targeted proteomics (selected reaction monitoring/multiple reaction monitoring) using urine samples from 49 and 48 patients with and without BCa, respectively, including those with non-BCa hematuria. RESULTS: Ten measurable EV proteins remained significantly elevated in the urine of patients with BCa, with EV-EIF2S1 demonstrating the best diagnostic performance (area under the receiver operating characteristic [ROC] curve [AUC] [ROCAUC]: 0.83). Additionally, EV-EIF2S1 distinguished patients with BCa from those without BCa and hematuria in a suitable manner (ROCAUC: 0.92). Functional analysis of EIF2S1 in the BCa cell lines (T24 and 5637) showed that EIF2S1 knockdown markedly inhibited cell proliferation and induced cell cycle arrest and apoptosis, suggesting its essentiality for BCa cell growth and survival. CONCLUSIONS: This study identified EV-EIF2S1 as a novel, uEV-based BCa diagnostic marker and demonstrated its functional significance in BCa cell growth and survival.
EIF2S1 in Urinary Extracellular Vesicles as a Novel Diagnostic Marker for Bladder Cancer.
尿液细胞外囊泡中的 EIF2S1 作为膀胱癌的新型诊断标志物
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作者:Tomiyama Eisuke, Fujita Kazutoshi, Matsuzaki Kyosuke, Narumi Ryohei, Matsushita Makoto, Hayashi Yujiro, Hashimoto Mamoru, Kato Taigo, Hatano Koji, Kawashima Atsunari, Minami Takafumi, Takao Tetsuya, Takada Shingo, Uemura Hirotsugu, Adachi Jun, Tomonaga Takeshi, Nonomura Norio
| 期刊: | Cancer Medicine | 影响因子: | 3.100 |
| 时间: | 2025 | 起止号: | 2025 May;14(10):e70964 |
| doi: | 10.1002/cam4.70964 | 研究方向: | 细胞生物学 |
| 疾病类型: | 膀胱癌 | ||
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