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Updated: Jul 10, 2025

A Standardized Liquid Biopsy Preanalytical Protocol for Downstream Circulating-Free DNA Applications
Published on: September 16, 2022
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.
Abstract:
While the field of precision oncology is rapidly expanding and more targeted options are revolutionizing cancer treatment paradigms, therapeutic resistance particularly to immunotherapy remains a pressing challenge. This can be largely attributed to the dynamic tumor-stroma interactions that continuously alter the microenvironment. While to date most advancements have been made through examining the clinical utility of tissue-based biomarkers, their invasive nature and lack of a holistic representation of the evolving disease in a real-time manner could result in suboptimal treatment decisions. Thus, using minimally-invasive approaches to identify biomarkers that predict and monitor treatment response as well as alert to the emergence of recurrences is of a critical need. Currently, research efforts are shifting towards developing liquid biopsy-based biomarkers obtained from patients over the course of disease. Liquid biopsy represents a unique opportunity to monitor intercellular communication within the tumor microenvironment which could occur through the exchange of extracellular vesicles (EVs). EVs are lipid bilayer membrane nanoscale vesicles which transfer a plethora of biomolecules that mediate intercellular crosstalk, shape the tumor microenvironment, and modify drug response. The capture of EVs using innovative approaches, such as microfluidics, magnetic beads, and aptamers, allow their analysis via high throughput multi-omics techniques and facilitate their use for biomarker discovery. Artificial intelligence, using machine and deep learning algorithms, is advancing multi-omics analyses to uncover candidate biomarkers and predictive signatures that are key for translation into clinical trials. With the increasing recognition of the role of EVs in mediating immune evasion and as a valuable biomarker source, these real-time snapshots of cellular communication are promising to become an important tool in the field of precision oncology and spur the recognition of strategies to block resistance to immunotherapy. In this review, we discuss the emerging role of EVs in biomarker research describing current advances in their isolation and analysis techniques as well as their function as mediators in the tumor microenvironment. We also highlight recent lung cancer and melanoma studies that point towards their application as predictive biomarkers for immunotherapy and their potential clinical use in precision immuno-oncology.
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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