ReviewBiomarker research2023
Extracellular vesicle-based liquid biopsy biomarkers and their application in precision immuno-oncology.
Review in Biomarker research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
67 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.
- Small extracellular vesicles: connecting early life exposure outcomes to air pollution during pregnancy to early childhood health.Environmental health : a global access science source · 2025Pooled it
- Enrichment and Proteomic Profiling of Stromal-Associated Extracellular Vesicle Subpopulations From Arthritic Synovial Fluid by Size-Exclusion Chromatography Coupled to CD90-Directed Immunocapture.Journal of extracellular vesicles · 2026Article
- Beyond Sensitivity: A Perspective on Transitioning Photonic Sensors into Real-Life Applications.Sensors (Basel, Switzerland) · 2026Review
- Review
- Artificial Intelligence-Enabled Exosomes in Precision Oncology: A Framework for Clinical Utility and Biomedical Applications.Current issues in molecular biology · 2026Review
- Artificial intelligence virtual extracellular vesicles (AIVEVs).Bioactive materials · 2026Review
- Review
- Extracellular vesicle transcriptomic analysis to investigate muscle adaptation in microgravity.iScience · 2026Article
- Small extracellular vesicles in tumor metabolism and immune escape: biomarkers and therapeutic opportunities.Molecular biology reports · 2026Review
- Cancer immunotherapy: mechanisms, clinical applications, resistance and future directions.Molecular biology reports · 2026Review
- Artificial Intelligence-Enabled Bioengineering of Extracellular Vesicle Platforms in Cardiovascular Medicine.Bioengineering (Basel, Switzerland) · 2026Review
- Multi-parametric profiling of plasma-derived extracellular vesicles reveals a disease-associated molecular signature supporting a liquid biopsy approach in myelofibrosis.Molecular medicine (Cambridge, Mass.) · 2026Article
- New proteomic signature in circulating extracellular vesicles from tumor-draining and peripheral veins of patients with lung adenocarcinoma.Cancer cell international · 2026Article
- The pre-metastatic niche: mechanisms, heterogeneity, and therapeutic opportunities.Molecular cancer · 2026Review
- Extracellular Vesicles in Cancer Diagnosis and Therapy: Advances, Challenges, and Prospects for Clinical Translation.International journal of molecular sciences · 2026Review
- Infosomes as Inflammatory Mediators: Proteomic Profiling of Proteins Enriched in Inflammatory Extracellular Vesicles.Molecular & cellular proteomics : MCP · 2026Article
- Computational frameworks for enhanced extracellular vesicle biomarker discovery.Experimental & molecular medicine · 2026Review
- Integrative bioinformatics approaches for early detection biomarkers in ovarian cancer.Annals of medicine and surgery (2012) · 2026Review
- Extracellular Vesicles in Cardiac Amyloidosis: From Pathogenesis to Clinical Applications.Diagnostics (Basel, Switzerland) · 2026Review
- Machine learning for extracellular vesicles enables diagnostic and therapeutic nanobiotechnology.Journal of nanobiotechnology · 2026Review
7 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.