Related Experiment Video
Updated: Jun 5, 2025

08:49
Exosomal miRNA Analysis in Non-small Cell Lung Cancer NSCLC Patients' Plasma Through qPCR: A Feasible Liquid Biopsy Tool
Published on: May 27, 2016
11.1K
Circulating Extracellular Vesicles as Promising Biomarkers for Precession Diagnostics: A Perspective on Lung Cancer
Sunil Vasu1, Vinith Johnson1, Archana M1
1Department of Chemical Engineering, Indian Institute of Technology Tirupati, Tirupati, Andhra Pradesh, India-517 619.
ACS Biomaterials Science & Engineering
|December 5, 2024
Summary
Extracellular vesicles (EVs) are key liquid biopsy biomarkers for lung cancer detection. Nanotechnology enhances EV isolation and analysis, paving the way for personalized medicine.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Oncology
Background:
- Extracellular vesicles (EVs) are crucial in intercellular communication and disease progression, particularly in lung cancer.
- Their presence in bodily fluids makes them valuable biomarkers for non-invasive disease detection.
- Lung cancer diagnosis and treatment can be significantly advanced by analyzing EV cargo.
Purpose of the Study:
- To review advanced nanotechnology-based methods for detecting lung cancer using EVs.
- To explore the role of exosomes in lung cancer progression and EV analysis.
- To highlight innovations in EV isolation, detection, and cargo analysis for improved lung cancer diagnostics.
Main Methods:
- Review of nanotechnology-based techniques for EV isolation and detection.
- Analysis of microfluidic platforms and multiplexed biosensing for EV characterization.
- Examination of biomolecular signatures within EVs for diagnostic accuracy.
Main Results:
- Nanotechnology offers innovative strategies to enhance EV isolation and detection sensitivity and specificity.
- Characterizing specific EV biomolecular signatures improves diagnostic accuracy in lung cancer.
- Advanced techniques like microfluidics and multiplexed biosensing are crucial for EV analysis.
Conclusions:
- EV-based liquid biopsy, powered by nanotechnology, shows transformative potential in lung cancer diagnosis.
- Standardization of protocols and robust analytical platforms are essential for clinical translation.
- This approach heralds a new era of personalized medicine for lung cancer patients.

