Exosome-Based Sensor: A Landmark of the Precision Cancer Diagnostic Era

Area of Science:

• Biochemistry
• Nanotechnology
• Oncology

Background:

• Extracellular vesicles (EVs) are crucial for intercellular communication, carrying biomolecules.
• EVs are increasingly recognized for their potential as cancer biomarkers.
• Current clinical use of EVs is limited by isolation and characterization challenges.

Purpose of the Study:

• To review recent advancements in biosensor technologies for extracellular vesicle (EV) detection and analysis.
• To explore techniques for EV isolation, characterization, and analysis.
• To identify challenges and future directions for sensor-based EV detection in precision medicine.

Main Methods:

• Review of current literature on biosensors for EV detection.
• Exploration of various sensing modalities (optical, electrochemical, microfluidic, nanomechanical, biological).
• Analysis of EV isolation and characterization techniques (electron microscopy, AFM, NTA, single-particle analysis).

Main Results:

• Biosensors offer promising solutions to EV isolation, purification, and characterization challenges.
• Diverse sensing modalities are being developed for sensitive and specific EV detection.
• Progress in EV analysis techniques supports their role in diagnostics and prognostics.

Conclusions:

• Advanced biosensors are critical for overcoming current limitations in EV detection and analysis.
• Sensor-based detection of EV biomarkers can enable noninvasive, early cancer diagnosis.
• This technology paves the way for precision medicine and improved patient outcomes.