Abstract
The advancement of liquid biopsy techniques for non-invasive tumor analysis holds immense potential in continuously tracking tumor status—recurrence, progression, and treatment response—in real-time. To comprehensively assess tumor evolution, cellular diversity, and drug resistance mechanisms, a pivotal step involves scrutinizing proteins and nucleic acids within extracellular vesicles (EVs) present in biofluids. Our focus lies in crafting an advanced digital bead-based sensor system that seamlessly evaluates the molecular profile of EVs in glioblastoma cases. Our innovative approach enriches tumor-relevant genetic data within EVs using antibody-specific magnetic beads, subsequently amplifying it via reverse transcription recombinase polymerase amplification system across forty thousand droplets. These results are scrutinized using a compact imaging device. The core strengths of our methodology include: (a) Streamlined Sample Processing: Our system facilitates ultra-sensitive miRNA detection in EVs within a rapid ninety-minute window, owing to optimized sample preparation and a compact detection mechanism; (b) Enhanced Signal Clarity: Employing a straightforward isothermal assay significantly boosts the fluorescent signal-to-noise ratio within each 70-µm droplet, achieving over 104 turnovers of fluorescent reporters on a chip; (c) Real-Time Data Analysis: Our system seamlessly captures real-time imaging data for the edge computing, utilizing trained YOLOv5 models for classification, and presents genetic results on the smartphone. Its user-friendly design enables utilization by healthcare workers with varying skill levels. This pioneering approach has the potential to offer affordable, rapid, and informative diagnostics particularly beneficial for underserved regions and healthcare systems facing financial constraints. Furthermore, its adaptability for diverse cancers could revolutionize the pace of diagnosis and treatment decision-making through liquid biopsy, potentially establishing its widespread application in global healthcare.
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