# From bench to bedside: the promise and roadblocks of extracellular vesicle therapeutics

**Authors:** Jing Zhang, Yuanwei Pan, Peng She, Lang Rao

PMC · DOI: 10.7150/thno.131621 · 2026-02-26

## TL;DR

This review discusses the potential of extracellular vesicles in precision medicine and the challenges that must be overcome to bring them to clinical use.

## Contribution

The paper systematically outlines translational challenges and emerging technologies to accelerate clinical translation of extracellular vesicles.

## Key findings

- Extracellular vesicles face challenges in isolation, stability, characterization, biosafety, and quality control.
- Emerging technologies like bioreactors, microfluidics, and machine learning can address these challenges.
- Standardization and regulatory compliance are critical for advancing extracellular vesicle therapies.

## Abstract

Extracellular vesicles (EVs) have transformed the landscape of precision therapeutics, owing to their intrinsic biocompatibility, capacity to transport biomolecules, and ability to cross biological barriers. Benefiting from these advantages, several EV-based therapeutic applications are currently under active development. However, most products remain at the preclinical stage due to significant translational challenges. In this review, we systematically outline these obstacles and highlight opportunities that can accelerate the clinical translation of EVs. We first identify core issues impeding clinical progress, such as difficulties in isolation, storage stability, precise characterization, biosafety evaluation, and quality control. After that, we examine emerging technologies designed to overcome these bottlenecks, including advanced bioreactors for large-scale production, microfluidic systems for high-purity separation, single-vesicle analysis technologies to address heterogeneity, and machine learning approaches that enhance standardization and support clinical decision-making. Finally, we discuss future directions focused on standardizing EV production, improving safety assessment, and ensuring regulatory compliance. By addressing current challenges and identifying promising pathways, this review aims to facilitate the translation of EV-based therapies from bench to bedside.

## Full-text entities

- **Genes:** CD274 (CD274 molecule) [NCBI Gene 29126] {aka ADMIO5, B7-H, B7H1, PD-L1, PDCD1L1, PDCD1LG1}, MIR21 (microRNA 21) [NCBI Gene 406991] {aka MIRN21, hsa-mir-21, miR-21, miRNA21}, GPC1 (glypican 1) [NCBI Gene 2817] {aka glypican}, EHMT1 (euchromatic histone lysine methyltransferase 1) [NCBI Gene 79813] {aka EHMT1-IT1, EUHMTASE1, Eu-HMTase1, FP13812, GLP, GLP1}, CD63 (CD63 molecule) [NCBI Gene 967] {aka AD1, HOP-26, ME491, MLA1, OMA81H, Pltgp40}, UBL3 (ubiquitin like 3) [NCBI Gene 5412] {aka HCG-1, PNSC1}, CD9 (CD9 molecule) [NCBI Gene 928] {aka BTCC-1, DRAP-27, MIC3, MRP-1, TSPAN-29, TSPAN29}, APOA1 (apolipoprotein A1) [NCBI Gene 335] {aka AMYLD3, HPALP2, apo(a)}, CD81 (CD81 molecule) [NCBI Gene 975] {aka CVID6, S5.7, TAPA1, TSPAN28}, ETFA (electron transfer flavoprotein subunit alpha) [NCBI Gene 2108] {aka EMA, GA2, MADD}
- **Diseases:** lung adenocarcinoma (MESH:D000077192), breast cancer (MESH:D001943), EV (MESH:D004819), EOF (MESH:D054318), colorectal cancer (MESH:D015179), tumorigenic (MESH:D002471), ovarian failure (MESH:C564499), DLD (MESH:D006617), fibrosis (MESH:D005355), melanoma (MESH:D008545), prostate cancer (MESH:D011471), inflammation (MESH:D007249), neuroinflammatory (MESH:D000090862), cytotoxicity (MESH:D064420), cerebrovascular-related damage (MESH:D002561), Tumor (MESH:D009369), COVID-19 (MESH:D000086382), diabetic (MESH:D003920), lung cancer (MESH:D008175), neurotoxicity (MESH:D020258)
- **Chemicals:** sucrose (MESH:D013395), lipid (MESH:D008055), water (MESH:D014867), calcium (MESH:D002118), Cyclooctene (MESH:D034242), trehalose (MESH:D014199), PBS (MESH:D007854), oxygen (MESH:D010100), salt (MESH:D012492), saline (MESH:D012965), cGMP (MESH:D006152), DLD (-), azides (MESH:D001386), amino acids (MESH:D000596), PEG (MESH:D011092)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** HeLa — Homo sapiens (Human), Human papillomavirus-related endocervical adenocarcinoma, Cancer cell line (CVCL_0030), HEK293T — Homo sapiens (Human), Transformed cell line (CVCL_0063)

## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12964386/full.md

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Source: https://tomesphere.com/paper/PMC12964386