Extracellular vesicle-based liquid biopsy biomarkers and their application in precision immuno-oncology

Karama Asleh1, Valerie Dery2, Catherine Taylor3

  • 1Atlantic Cancer Research Institute, Moncton, New Brunswick, Canada. karamaa@canceratl.ca.

Biomarker Research
|November 18, 2023
PubMed

Insights

Extracellular vesicles (EVs) offer minimally-invasive biomarkers for precision oncology. These vesicles facilitate intercellular communication, aiding in monitoring treatment response and predicting resistance to immunotherapy.

Area of Science:

  • Oncology
  • Biomarker Discovery
  • Immunotherapy

Background:

  • Precision oncology faces challenges with therapeutic resistance, especially to immunotherapy, often due to tumor microenvironment alterations.
  • Current tissue-based biomarkers are invasive and lack real-time disease monitoring capabilities.
  • Minimally-invasive biomarkers are crucial for predicting treatment response, monitoring disease progression, and detecting recurrence.

Purpose of the Study:

  • To review the emerging role of extracellular vesicles (EVs) in biomarker research for precision oncology.
  • To discuss advancements in EV isolation and analysis techniques.
  • To highlight the potential of EVs as predictive biomarkers for immunotherapy response and clinical application.

Main Methods:

  • Review of current literature on extracellular vesicles (EVs) in cancer research.
  • Discussion of innovative EV capture techniques (microfluidics, magnetic beads, aptamers).
  • Exploration of high-throughput multi-omics and artificial intelligence for EV analysis and biomarker discovery.

Main Results:

  • EVs mediate intercellular communication, influence the tumor microenvironment, and affect drug response.
  • EVs serve as a source of biomarkers for real-time monitoring of disease and treatment.
  • Studies in lung cancer and melanoma show promise for EVs as predictive biomarkers for immunotherapy.

Conclusions:

  • Extracellular vesicles (EVs) are valuable tools for precision immuno-oncology, offering real-time insights into cellular communication.
  • Advanced isolation and analysis techniques, coupled with AI, enhance EV-based biomarker discovery.
  • EVs hold significant potential for overcoming therapeutic resistance and improving patient outcomes in cancer treatment.

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