Hierarchical Flower-Like UiO-66@TiO2 Heterostructure for On-Plate Exosome Enrichment and In Situ Metabolic Fingerprinting Toward Prostate Cancer Diagnosis.
Аннотация
The efficient capture and sensitive detection of exosomes from complex biological samples remain critical challenges for liquid biopsy-based cancer diagnosis. Herein, we report a three-dimensional flower-like UiO-66@TiO2 heterostructure that integrates on-plate exosome enrichment with in situ laser desorption/ionization mass spectrometry (LDI-MS) analysis. The hierarchical flower-like architecture (approximately 2 µm) provides a high surface area and abundant binding sites for exosome capture, while the Type II heterojunction between UiO-66 and TiO2 facilitates photogenerated charge separation, significantly enhancing photothermal conversion, charge transfer, and molecular desorption upon laser irradiation. The established platform achieves a detection limit of 2.3 × 105 particles per mL for exosomes with excellent reproducibility and anti-interference capability. When applied to a clinical cohort of 678 serum samples from patients with prostate cancer (PCa), benign prostatic disease (BPD), and healthy controls (HC), the platform enables rapid acquisition of exosome metabolic and lipid fingerprints. Machine learning analysis of these fingerprints successfully distinguishes prostate disease (PD) from HC and PCa from BPD. In an external validation cohort, the model identified 97.1% of HC, 86.4% of BPD, and 91.3% of PCa cases. This work provides a promising strategy for exosome-based liquid biopsy and highlights the potential of functional nanomaterials in precision oncology.
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.