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Extracellular vesicles as diagnostic and prognostic biomarkers in non-small cell lung cancer

  • Shayista Akbar
  • , Queenie Fernandes
  • , Zeenath Safira Khaja Mohamed Yoosuf
  • , Reem Elasad
  • , Laila Assami
  • , Karama Makni-Maalej
  • , Varghese Inchakalody
  • , Mariam Al-Muftah
  • , Shahab Uddin
  • , Maysaloun Merhi
  • , Aamir Ahmad
  • , Said Dermime*
  • *Corresponding author for this work
  • Hamad Medical Corporation
  • Qatar University Laboratory Animal Research Center
  • Qatar University

Research output: Contribution to journalReview articlepeer-review

Abstract

Introduction: Non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related mortality worldwide, largely due to late-stage diagnosis and limited availability of reliable biomarkers. Extracellular vesicles (EVs) are membrane-bound nanoparticles released by cells that carry nucleic acids, proteins, and lipids reflective of their cellular origin. Their stability and accessibility through minimally invasive sampling make them promising liquid biopsy biomarkers. Areas covered: This review summarizes current evidence supporting EVs as diagnostic and prognostic biomarkers in NSCLC. We discuss the clinical relevance of EV-associated molecular signatures, including miRNAs, other non-coding RNAs, and proteins, in early detection, disease stratification, and outcome prediction. Recent advances in EV isolation and characterization technologies, particularly microfluidic and high-throughput platforms, are highlighted. We also examine key barriers to clinical translation, including biological heterogeneity, methodological variability, and the lack of standardized protocols. Expert opinion: EVs have the potential to transform NSCLC management by enabling minimally invasive diagnosis, real-time disease monitoring, and personalized treatment strategies. However, widespread clinical implementation requires standardized methodologies, improved tumor-specific EV enrichment, and large-scale validation studies. Future integration of multi-omics, artificial intelligence, and advanced detection technologies is expected to enhance biomarker performance and facilitate the incorporation of EV-based liquid biopsy approaches into precision oncology.

Original languageEnglish
Pages (from-to)667-679
Number of pages13
JournalExpert Review of Molecular Diagnostics
Volume26
Issue number8
Early online dateJun 2026
DOIs
Publication statusPublished - 23 Jun 2026

Keywords

  • Extracellular vesicles
  • diagnostic biomarkers
  • exosomes
  • liquid biopsy
  • non-small cell lung cancer
  • prognostic biomarkers

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