纳米结构硅能HR-MS用于大肠癌癌症血浆细胞外小囊泡生物标志物的无标记检测

Sanduru Thamarai Krishnan, D. Rudd, Rana Rahmani, E. E. Antunez, Rajpreet Singh Minhas, Chandra Kirana, G. Maddern, K. Fenix, E. Hauben, N. Voelcker
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引用次数: 1

摘要

尽管晚期癌症(CRC)的治疗方案有所改善,但非肿瘤患者的生存结果仍然最好。识别基于血液的生物标志物并协助CRC亚型分类的诊断工具可以提供一种跟踪CRC进展和治疗反应的方法。血液中循环的癌症细胞衍生的细胞外小泡(EVs)携带升高的脂质和蛋白质,这些脂质和蛋白质可作为导致并包括转移的肿瘤抑制/促进事件或阶段的标志。在这里,我们使用来自外科手术室的预表征生物库血浆样本,通常体积较小(约100µL),来生成和发现CRC衍生EV的特征。我们采用了纳米结构多孔硅(pSi)表面辅助激光解吸/电离(SALDI)与高分辨率质谱(HR-MS)相结合,以实现对等离子体EV中低丰度分析物的灵敏检测。当应用于CRC样品时,SALDI-HR-MS能够检测癌症抑制蛋白的肽质量指纹,包括丝氨酸/苏氨酸磷酸酶和激活转录因子3。SALDI-HR-MS还可以检测转移性CRC中的甘油磷脂和鞘脂特征。我们观察到氯化锂提高了检测灵敏度,以阐明血浆EVs中低丰度脂质的结构。pSi-SALDI可以作为一种有效的系统,用于低容量患者样本的无标记和高通量分析,允许对CRC分类进行快速灵敏的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nanostructured Silicon Enabled HR-MS for the Label-Free Detection of Biomarkers in Colorectal Cancer Plasma Small Extracellular Vesicles
Despite improvements in treatment options for advanced colorectal cancer (CRC), survival outcomes are still best for patients with non-metastasised disease. Diagnostic tools to identify blood-based biomarkers and assist in CRC subtype classification could afford a means to track CRC progression and treatment response. Cancer cell-derived small extracellular vesicles (EVs) circulating in blood carry an elevated cargo of lipids and proteins that could be used as a signature of tumour suppressor/promoting events or stages leading up to and including metastasis. Here, we used pre-characterised biobanked plasma samples from surgical units, typically with a low volume (~100 µL), to generate and discover signatures of CRC-derived EVs. We employed nanostructured porous silicon (pSi) surface assisted-laser desorption/ionisation (SALDI) coupled with high-resolution mass spectrometry (HR-MS), to allow sensitive detection of low abundant analytes in plasma EVs. When applied to CRC samples, SALDI-HR-MS enabled the detection of the peptide mass fingerprint of cancer suppressor proteins, including serine/threonine phosphatases and activating-transcription factor 3. SALDI-HR-MS also allowed the detection of a spectrum of glycerophospholipids and sphingolipid signatures in metastatic CRC. We observed that lithium chloride enhanced detection sensitivity to elucidate the structure of low abundant lipids in plasma EVs. pSi SALDI can be used as an effective system for label-free and high throughput analysis of low-volume patient samples, allowing rapid and sensitive analysis for CRC classification.
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