Abstract
Scope
Extracellular vesicles (EVs) have emerged as promising cell-free delivery vehicles for cancer therapy due to their inherent biocompatibility, low immunogenicity, and natural targeting capabilities. EVs derived from various cellular sources offer distinct advantages in drug-loading capacity and therapeutic effectiveness. However, their clinical application is limited by challenges such as poor cargo stability, potential immunogenicity, and off-target effects. These limitations necessitate further surface functionalization of EVs to optimize vesicle stability, targeting precision, and safety of pharmacological cargos. Paclitaxel (PTX), a first-line chemotherapeutic agent effective against multiple cancers, is limited by poor solubility and significant systemic toxicity, highlighting the need for targeted delivery systems.
Methods
A literature search was conducted to identify relevant articles published between 1993 and 2025. This review provides a comprehensive overview of EV biogenesis and cellular origins, highlighting recent advances in engineering strategies for PTX delivery. Current progress in employing engineered EVs for PTX delivery in both in vitro and in vivo cancer models, along with practical challenges and future directions in the clinical translation of EV-based PTX delivery, are discussed
Results
Preclinical studies demonstrate that engineered EVs can effectively encapsulate and deliver PTX to tumor sites, improving therapeutic outcomes while minimizing systemic side effects. Despite these advances, challenges remain in optimizing EV isolation, surface modification, PTX loading efficiency, and precise recognition of tumor cells.
Conclusion
Engineered EVs represent a promising platform for PTX delivery, combining targeted therapeutic potential with reduced systemic toxicity. Continued research to address technical and translational barriers will be critical for advancing EV-based PTX therapies toward clinical application.
Graphical Abstract
Keywords: Cancer, Bioengineering, Paclitaxel, Drug delivery, Extracellular vesicles, Nanomedicine
Introduction
Cancer remains a leading cause of mortality worldwide, primarily due to late detection, invasion, and poor prognosis. As reported by the World Health Organization, the global incidence of cancer was 18.1 million new cases with 9.6 million deaths in 2018, and it is estimated to reach 16.5 million deaths by 2040 [1]. Consequently, extensive research has focused on developing novel and effective anticancer treatments that offer advantages over traditional therapies (surgery, chemotherapy, immunotherapy, and radiotherapy) in combating cancer recurrence, metastasis, and treatment resistance [2]. Paclitaxel (PTX) is a commonly used chemotherapy agent for treating a wide range of human cancers. Despite its effectiveness, it often causes significant side effects and has limitations such as poor water solubility and substantial toxicity [3]. These challenges highlight the necessity for innovative drug delivery systems that can enhance the therapeutic efficacy of PTX while minimizing its adverse effects. Extracellular vesicles (EVs) are membrane-bound lipid components involved in the bulk transfer of cargos to a wide range of potential recipient cells. Various cell types can release EVs as local and systemic messengers, carrying biomolecules including oncogenic lipids, proteins, and nucleic acids [4]. The composition and content of EVs can vary based on their originating cells, physiological conditions, and environmental stimulation [5]. EVs have emerged as promising drug delivery vehicles due to their low immunogenicity, bypassing lysosomal degradation, and high biocompatibility [6]. The nanoscale size of EVs enables them to effectively target cancerous tissues through both active and passive mechanisms [7]. Passive targeting leverages the enhanced permeability and retention (EPR) effect, while active targeting involves the use of tumor-specific antigens or ligands to direct the EVs. Both approaches enhance the delivery of therapeutic agents, leading to increased efficacy and reduced toxicity in non-targeted tissues [8]. Various techniques have been developed for the effective isolation and purification of EVs, including ultracentrifugation, ultrafiltration, precipitation, size-exclusion chromatography (SEC), and immunoaffinity capture [9]. Nanotechnology advances are increasingly being utilized to engineer EVs by altering surface charge, conjugating various components such as peptides and antibodies, and loading cargo. Depending on their cellular origin, EVs present distinct surface biomarkers serving as ideal tools for functionalization [10–12]. Loading hydrophobic chemotherapeutic agents, such as PTX, curcumin, doxorubicin, cisplatin, and methotrexate, can be achieved through passive diffusion into EV membranes during co-incubation [13]. Conversely, hydrophilic drugs require active loading techniques, such as electroporation or sonication, to effectively penetrate the EV membrane [14]. PTX-loaded EVs (PTX-EVs) have demonstrated encouraging outcomes in targeting and treating various cancers, including lung, breast, and pancreatic tumors. PTX-EVs enabled precise control over drug release in response to specific internal or external stimuli and enhanced tumor targeting, potentially increasing treatment efficacy while reducing side effects [15]. Despite these advantages, several limitations, such as toxicity, poor biocompatibility, low distribution, and degradation, restrict the clinical application of PTX-EVs [16]. Addressing these challenges is crucial for realizing the full potential of EV-based systems for PTX delivery. This review provides an overview of the biogenesis and main sources of EVs, highlighting their potential as PTX delivery vehicles, and discusses strategies for engineering EVs to enhance PTX targeted delivery alongside preclinical studies evaluating the efficacy of PTX-EVs in in vitro and in vivo cancer models. By examining the intersection of engineered EVs and drug delivery, this review aims to provide insights into the practical barriers and future directions for developing more effective and targeted cancer therapies.
EVs Biogenesis
Based on their size and biogenesis, EVs are classified into several subtypes, including exosomes (50-100 nm), ectosomes (100-500 nm), microvesicles (100-1000 nm), and apoptotic bodies (400-1000 nm) (Fig. 1) [17]. The biogenesis of EVs generally occurs through two primary pathways: the endosomal sorting complex required for transport (ESCRT) machinery system or an ESCRT-independent pathway (Fig. 2). This machinery comprises four protein complexes: ESCRT-0, which recognizes ubiquitinated proteins; ESCRT-I and ESCRT-II, which form the membrane bud; and ESCRT-III. ESCRT-I, ESCRT-III, and related proteins such as Rab proteins, Alix, VTA-1, and VPS4 are essential for the formation of multivesicular bodies (MVBs) and the loading of functional cargoes into exosomes [18]. A section of an endosome-limiting membrane invaginates and buds into its own lumen to generate MVBs or intraluminal vesicles (ILVs) [19]. MVBs mature into late-sorting endosomes and can either merge with lysosomes for destruction or with the plasma membrane to release EVs into the extracellular matrix (ECM) [20]. Various Rab GTPases, including Rab11, Rab27a, Rab27b, and Rab35, regulate the trafficking, signaling, and biogenesis of MVBs and ILVs [21]. The ESCRT-independent biogenesis of EVs involves the inward invasion of the plasma membrane, leading to the creation of early-sorting endosomes containing cell surface proteins, fluids, and extracellular components [22]. Finally, cargo loading into exosomes is mediated by the CD63 tetraspanin family [23]. The biogenesis of microvesicles involves several mechanisms, including the outward blebbing and fission of the plasma membrane. This process is mediated by signaling pathways and external elements such as calcium influx or hypoxia. Calcium influx induces microvesicles release through actin-myosin contraction or by stimulating phospholipid redistribution, with phosphatidylserine and phosphatidyl-ethanolamine moving to the outer layer of the plasma membrane [24]. Hypoxia also facilitates microvesicles release through hypoxia-inducible factor-dependent expression of Rab-22A protein [25]. Ectosomes are released through the split or outward budding of the plasma membrane, driven by the translocation of phosphatidylserine to the outer leaflet of the plasma membrane [26]. The small GTPase RhoA, a key regulator of actin cytoskeletal reorganization, is linked to ectosome biogenesis in various cancer cells [27]. Additionally, neutral sphingomyelinase enzymes (nSMase) are essential for the shedding and budding of the plasma membrane, thereby controlling ectosome formation [28]. Overall, the diverse mechanisms underlying the biogenesis of EVs highlight the complexity and specificity of their formation, which is crucial for their function in various physiological and pathological processes.
Fig. 1.
Classification of extracellular vesicle (EVs) subtypes. a Exosomes are released by the fusion of multivesicular bodies (MVBs) with the plasma membrane. Exosomes are packaged in the late endosome and generated through this fusion process. b Microvesicles are generated by the outward budding of the plasma membrane and include ectosomes, membrane particles, and exosome-like vesicles. c Apoptotic bodies are produced by the budding of cells undergoing programmed cell death and are also considered components of EVs with varying sizes
Fig. 2.
Biogenesis of EVs. Endosomal sorting complex required for transport (ESCRT)-dependent and ESCRT-independent pathways of extracellular vesicles (EVs): exosomes are EVs released into the extracellular environment when multivesicular bodies (MVBs) fuse with the plasma membrane. In contrast, microvesicles (or microparticles) are EVs that bud directly from the plasma membrane. Besides the ESCRT pathway, EV production also involves ESCRT-independent mechanisms, which require lipid ceramide and neutral sphingomyelinase (nSMase). Inhibiting EV formation and release using nSMase inhibitors could offer a novel therapeutic approach for neurological disorders, including brain injury
Origins of EVs
EVs derived from various cellular sources offer distinct advantages for chemotherapeutic delivery in cancer therapy. The choice of EV origin significantly influences key parameters such as drug loading efficiency, targeting specificity, circulation time, and immunogenicity—making it a critical consideration in the development of EV-based drug delivery systems. Mesenchymal stem cells (MSCs), which can be isolated from diverse tissues such as adipose tissue, umbilical cord blood, liver, placenta, amniotic fluid, and dental pulp, are one of the most extensively used sources for EV production [29]. MSC-derived EVs (MSC-EVs), particularly those from bone marrow (BM-EVs), exhibit functional similarities to their parent cells and are being developed as potential "factories" for drug delivery, offering advantages such as ease of expansion and low immunogenicity, thereby improving the efficiency of drug delivery systems [30–32]. However, MSC-EVs pose risks such as horizontal gene transfer [30–32], as seen in cancer-derived EVs that transfer oncogenic deoxyribonucleic acid (DNA), potentially causing transient phenotypic changes and unexpected immune responses [33]. Immune cells—including natural killer (NK) cells, T cells, B cells, dendritic cells (DC), and macrophages—are valuable sources of EVs for combined chemotherapeutic and immunotherapeutic applications [34–36]. These immune cell–derived EVs (IC-EVs) are inherently suited to evade phagocytic clearance, thereby prolonging systemic circulation and enhancing drug delivery efficiency [37]. Macrophage-derived EVs (M-EVs) exhibit functional variability depending on the phenotype of their parental cells. M1 macrophage-derived EVs (M1-EVs) can enhance chemosensitivity in drug-resistant cancer cells, increasing the efficacy of chemotherapeutic agents. Naïve M-EVs, on the other hand, demonstrate unique abilities to penetrate the blood–brain barrier (BBB), likely through interactions between integrins (LFA-1, ICAM-1) and endothelial receptors (C-type lectin). PTX-loaded M-EVs have shown significantly enhanced cytotoxic effects against drug-resistant tumors, leveraging their natural targeting capacity and intracellular delivery potential [38]. DC–derived EVs (DC-EVs) are enriched in specific phospholipids such as C22:6 docosahexaenoic acid, which contributes to their antigen-presenting capability and anti-tumor activity [39]. EVs from tumor cells (TC-EVs) offer intrinsic tumor-targeting properties, making them promising candidates for delivering chemotherapeutics directly to tumor sites. TC-EVs also possess the ability to promote angiogenesis under hypoxic conditions, which may be harnessed for targeting hypoxic tumor microenvironments (TME). However, these EVs carry risks of promoting tumor progression and are often rapidly cleared from circulation, limiting their clinical utility [40, 41]. Red blood cell–derived EVs (RBC-EVs) represent an attractive, biocompatible platform for drug delivery. They are devoid of nuclear DNA, eliminating concerns related to genetic material transfer, and are amenable to large-scale production. These features make RBC-EVs a safe and scalable option for chemotherapeutic encapsulation [42]. Engineered cell lines such as human embryonic kidney (HEK293) cells are frequently employed to produce EVs with tailored features, including enhanced drug-loading capacities or reduced immunogenicity [43]. More recently, non-human sources like milk-derived EVs have gained attention for their suitability in oral drug delivery. These vesicles protect therapeutic agents during gastrointestinal transit and improve bioavailability. Remarkably, milk-derived EVs have demonstrated substantial drug-loading efficiencies—approximately 30% for PTX and 20% for 5-fluorouracil—highlighting their promise in oral chemotherapeutic applications [44–46,47]. Each EV source presents distinct advantages and limitations. Table 1 provides a comparative summary of EVs from different origins and their potential as drug delivery vehicles. Rational selection of the EV source—based on the therapeutic context, safety considerations, and physicochemical drug properties—is essential for optimizing EV-based strategies in cancer treatment
Table 1.
Various cellular sources of EVs
| EV Source | Types | Surface biomarkers | Cargo | Target | advantages | Disadvantages | References |
|---|---|---|---|---|---|---|---|
| Cancer cells | Stem Cells | CD24, CD44, CD90, CD133 | miRNAs, mRNAs, proteins (growth factors, signaling molecules) | Tumors | Tumor-specific targeting, potential for immune priming | Risk of promoting tumor growth due to endogenous cargo | [47] |
| Non-Stem cell | CD24, CD44 | Proteins, miRNA, mRNA | Various cancers | High cytotoxicity | Potential immunogenicity | ||
| MSCs Stem cells | BM-MSCs | CD73, CD90, CD 105 | miRNAs, mRNAs, proteins (growth factors, anti-inflammatory cytokines) | Cancers, inflammation | Low immunogenicity, therapeutic effects | Oncogenic potential of source cells | [29, 48] |
| Immune cells | NK cells | CD56, CD16, NKG2D | Cytotoxic proteins (granzymes, perforin), miRNAs | Tumors | Enhanced tumor targeting and cytotoxicity | Limited persistence in circulation | [37] |
| Macrophages | CD68, CD163, CD11b, CD14, F4/80 (in mice) | miRNAs, mRNAs, proteins (cytokines, chemokines) | Inflammation, tumors | Modulation of immune response | Potential for promoting inflammation | [49] | |
| T cell | CD3, CD4, CD8 | miRNAs, mRNAs, proteins (cytokines, chemokines) | Tumors | Immune modulation | Risk of immune activation | [50] | |
| B cell | CD19, CD20, CD27 | miRNAs, mRNAs, antigens | Tumors | Antibody-mediated targeting | Potential for unwanted immune responses | [51] | |
| DCs | CD11c, MHC class II, CD80 | miRNAs, mRNAs, antigens | Tumors | Strong immune activation | Risk of overactivation leading to autoimmune issues | [52, 53] | |
| Neutrophil | CD15, CD66b | miRNAs, mRNAs, proteins (myeloperoxidase) | Inflammation | Rapid response to infection | Limited specificity for cancer | [54] | |
| Nervous system cells | Glial cells | CD81, CD63, ALIX, GFAP | Proteins, miRNAs, lipids | Neurons, other glial cells | Potential for targeted delivery to brain tissue; crossing BBB | Challenges in large-scale production, purification, and targeting specificity | [55] |
| Embryonic cells | HEK293 kidney cells | CD9, CD81, CD44 | Proteins, mRNAs, miRNAs | Various cell types | Easy to culture and produce EVs; potential for loading with drugs | May not reflect in vivo conditions; potential immunogenicity | [56] |
| Blood | RBC | CD47, Band 3, Glycophorin A | Hemoglobin, lipids, miRNAs | Various cell types | Abundant source; biocompatible; potential for oxygen delivery with drugs | Limited cargo loading capacity; potential for aggregation | [42] |
| Plasma | CD61, CD41, CD31 (platelet-derived); CD14 (monocyte-derived) | Proteins, lipids, miRNAs, coagulation factors | Various cell types | Readily accessible; reflects overall physiological state | Complex mixture; difficulties in isolating specific EV types; potential for off-target effects | [57] | |
| Urine | Mixed population | CD9, CD81, TSG101, uromodulin | Proteins, miRNAs, metabolites | Kidney cells, other cells | Non-invasive collection; contains diverse cargo | Low EV concentration; variability in composition | [58] |
| Saliva | Mixed population | CD9, CD81, CD63, α-amylase | Proteins, miRNAs, mRNAs, lipids | Oral mucosa, other cells | Non-invasive collection; easy access | Low EV concentration; enzyme activity may degrade cargo | [59] |
| Milk | Mixed population | CD9, CD81, CD63, MFG-E8 | Proteins, miRNAs, lipids, growth factors | Intestinal cells, other cells | Abundant source; contains bioactive molecules; potential for oral drug delivery | Variability in composition; potential for degradation in the GI tract | [60] |
Engineering Strategies for EVs
The therapeutic potential of unmodified EVs is often limited by factors such as inadequate targeting specificity, low stability, and inefficient drug delivery. To overcome these deficiencies and harness the full potential of EVs as therapeutic vehicles, nanotechnology advances are increasingly being applied for EV modifications [10]. Engineering EVs often includes modifying surface charge, incorporating targeting ligands and stimuli-responsive elements, and genetic engineering [61]. These advancements offer significant benefits, such as enhanced tumor targeting, leading to higher drug concentrations within tumor cells and reduced side effects [11, 12]. Furthermore, modification of EVs enables drug release in response to specific stimuli, both internal (e.g., pH changes) and external (e.g., temperature, magnetic fields), leading to increased targeting specificity and treatment efficacy [10]. The following sections will explore various engineering strategies and their applications in tailoring EVs for targeted drug delivery, with a focus on chemotherapeutic agents.
Click Chemistry
Click chemistry has emerged as a leading strategy for functionalizing EV surfaces, enabling precise covalent attachment of targeting ligands or therapeutic agents [62]. This approach employs a two-step process: (1) conjugation of alkyne groups to EV surfaces via condensation reactions (e.g., using 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide-N-hydroxysuccinimide, EDC-NHS), followed by (2) copper-catalyzed azide-alkyne cycloaddition with azide-modified molecules to form stable triazole linkages. Click chemistry offers versatile approaches for modifying EVs, supporting a wide range of therapeutic and diagnostic applications. These include targeted delivery of chemotherapeutics and nanoparticles (NPs), as well as in vivo tracking of treatment progress through fluorescent labeling of EVs [63, 64]. This approach is particularly advantageous due to its mild reaction conditions, compatibility with both aqueous and organic solvents, and ability to preserve the native properties of EVs, such as size, morphology, and cellular uptake mechanisms, thereby offering significant improvements over traditional cross-linking techniques [65, 66]. While click chemistry provides a robust and versatile platform for EV functionalization, several practical barriers persist in translation to clinical application. The use of copper catalysts, although highly efficient, raises concerns regarding residual metal toxicity and the potential alteration of EV bioactivity. To address this, copper-free click reactions, such as strain-promoted azide–alkyne cycloaddition (SPAAC), are being explored for biocompatible, catalyst-free surface modification [67]. Furthermore, over-modification can also result in steric hindrance or masking of essential surface proteins, potentially reducing targeting efficacy [65].
Incorporation of Targeting Ligands
The incorporation of targeting ligands into EVs offers a strategic approach to improve drug delivery precision, particularly to challenging sites such as the brain. Surface modifications of EV proteins (e.g., CD63, Lamp2b) with cell-specific ligands enhance localized cargo delivery by leveraging natural or engineered targeting mechanisms. Peptide-based modifications have shown promising results in various applications. For example, the fusion of the rabies virus glycoprotein (RVG) peptide to Lamp2b enables brain-targeted EV delivery, bypassing the BBB through adsorptive transcytosis pathways [68]. Similarly, the conjugation of the c(RGDyK) peptide onto MSC-EVs significantly enhanced their therapeutic efficacy in preclinical models of ischemic stroke. Additionally, conjugation of magnetic molecules and endosomolytic peptides (L17E) onto EV surfaces enhanced their targeting ability. These surface modifications led to significant improvements in tumor accumulation and endosomal escape, enabling the efficient delivery of therapeutic cargoes in both in vitro and in vivo models [69]. Aptamers —short strands of DNA or ribonucleic acid (RNA) with high specificity and affinity for their targets—are increasingly being utilized in surface modifications of EVs [70, 71]. Despite these advancements, targeted synthetic NPs have often faced significant limitations in clinical applications, necessitating further investigations. For example, the use of external peptides like rabies RVG can provoke immune responses, potentially leading to accelerated clearance from circulation and associated immunotoxicity. Additionally, the incorporation of targeting ligands may compromise the structural integrity of EVs, thereby reducing their biocompatibility [72, 73]. The functionalization process itself presents challenges for clinical translation. It is typically complex and costly, making it difficult to standardize and scale up for widespread clinical use. Current methodologies often require genetic or metabolic engineering of donor cells before EV isolation, as traditional ligand functionalization techniques in nanomedicine can be detrimental to EVs. This limitation poses considerable challenges when attempting to introduce exogenous surface ligands to EVs derived from other sources, such as plasma or tissue samples.
Genetic Engineering
Genetic engineering represents one of the most advanced and widely utilized techniques for modifying EVs, allowing the incorporation of various therapeutic molecules, including nucleic acids (DNA, messenger ribonucleic acid (mRNA), micro-ribonucleic acid (miRNA), small interfering ribonucleic acid (siRNA), circular ribonucleic acid (circRNA), and long non-coding ribonucleic acid (lncRNA)) and bioactive proteins or peptides. This approach relies on the abundant expression of transmembrane proteins such as Lamp2b, CD9, CD63, PDGFR, and CD47 on EV membranes to facilitate membrane fusion and enable the targeted delivery of specific proteins and peptides through precise genetic manipulation [74]. Several studies have demonstrated the efficacy of this technique in targeted delivery applications. For example, HEK293 cells were co-transfected with plasmids encoding cardiac-targeting peptides fused to Lamp2b to successfully direct EVs to cardiac cells [75]. Similarly, DCs were genetically engineered to express Lamp2b fused with the iRGD peptide, enhancing targeting efficiency toward breast cancer cells [76]. Despite its advantages, genetic engineering faces several challenges that limit its scalability and clinical translation. Non-specific interactions between engineered ligands and unintended targets can reduce therapeutic efficacy and compromise specificity. Additionally, the complexity of genetic modification processes, particularly those involving plasmid vectors for cell transfection, poses significant obstacles to standardization and large-scale production. Nevertheless, genetic engineering remains a promising strategy for advancing EV-based therapies by enabling precise delivery of chemotherapeutics [74]. As research continues to evolve, optimizing genetic engineering techniques will be essential to enhance the functionality and clinical applicability of engineered EVs while addressing safety concerns related to immunogenicity and off-target effects.
PTX: Mechanism of Action and Challenges in Delivery
PTX is a pseudoalkaloid with a taxane ring nucleus (C₄₇H₅₁NO₁₄, MW 853.93), primarily derived from Taxus species such as Taxus brevifolia. Due to low natural yields and environmental concerns, industrial-scale production now relies on plant cell fermentation and semisynthetic approaches using precursors like 10-deacetylbaccatin III [77]. PTX exerts its anticancer effects by binding to β-tubulin, stabilizing microtubules, and disrupting mitotic spindle assembly and chromosome segregation. This leads to mitotic arrest and ultimately apoptosis. It is clinically effective against a broad spectrum of cancers, including ovarian, breast, lung, and gastric malignancies [78–81]. However, PTX faces several pharmacokinetic and safety limitations. Its poor aqueous solubility and high lipophilicity result in low bioavailability and metabolic instability. Consequently, systemic toxicities such as neutropenia, liver injury, bone marrow suppression, and hypersensitivity reactions are frequently observed [82]. PTX also exhibits non-specific biodistribution, leading to off-target accumulation in healthy organs such as the liver, kidneys, and heart. This can result in dose-limiting toxicities, including peripheral neuropathy and gastrointestinal complications [83, 84]. To improve solubility, conventional formulations like Taxol employ solubilizing agents such as Cremophor EL, which are associated with hypersensitivity reactions and additional toxicity [85]. Moreover, when administered systemically or intraperitoneally, free PTX is rapidly cleared and exhibits non-specific distribution, leading to subtherapeutic concentrations at tumor sites and increased exposure to non-target tissues. Notably, PTX demonstrates limited accumulation in pelvic lymph nodes and tumor tissues, restricting its therapeutic impact [86]. To address these limitations, various PTX formulations have been developed, including NPs, liposomes, micelles, and albumin-bound systems such as Abraxane—an albumin-bound formulation of NP-PTX [87]. These delivery platforms aim to enhance drug solubility, prolong circulation time, and improve tumor targeting.
Nanocrystal formulations of PTX have shown comparable antitumor efficacy to Taxol while reducing toxicity by minimizing off-target accumulation. Pharmacokinetic studies indicate that while Taxol exhibits higher initial plasma and tumor concentrations, nanocrystals provide more sustained retention in tumor tissues [88]. NP-based formulations also enhance drug delivery to pelvic lymph nodes after intraperitoneal administration, resulting in reduced tumor burden, increased apoptosis, and inhibited tumor proliferation [86]. Liposomal PTX formulations improve pharmacokinetics and reduce systemic toxicity, demonstrating superior efficacy in models of ovarian, metastatic breast, and non-small-cell lung cancers (NSCLC) [78, 89, 90]. Micelle-based systems, such as Genexol-PM—a Cremophor EL-free polymeric micelle formulation—extend circulation time and improve tumor targeting via the EPR effect [87]. Abraxane utilizes albumin to increase solubility and facilitate targeted delivery, offering superior efficacy and safety compared to traditional formulations [91]. Despite these advancements, challenges remain in achieving optimal PTX concentrations at tumor sites while minimizing systemic toxicity. Drug resistance—often mediated by P-glycoprotein overexpression—further complicates PTX therapy and limits long-term efficacy [92]. Therefore, future delivery strategies must focus not only on increasing tumor drug accumulation but also on minimizing exposure to non-target tissues and maintaining steady therapeutic levels. Optimizing drug delivery to reduce toxicity and overcome resistance mechanisms is crucial for improving treatment outcomes. However, the complexity and high production costs of advanced delivery platforms continue to pose barriers to widespread clinical adoption.
Isolation of EVs and PTX Loading
Isolation Techniques
EVs can be differentiated from most serum components based on their density, except for high-density lipoproteins, which share a similar density range (1.06–1.21 g/mL). As a result, size-based separation methods are often required for effective EV isolation. Isolating EVs from serum is particularly challenging due to its high viscosity and the abundance of serum proteins and non-EV lipid particles, which can interfere with particle quantification and biomarker analysis [9]. Several techniques are used for EV isolation, including ultracentrifugation, ultrafiltration, precipitation, SEC, and immunoaffinity capture (Table 2). Among these, ultracentrifugation is the most widely used method (Fig. 3) and is often supplemented with commercial kits. SEC is particularly effective at separating EVs larger than 70 nm from smaller particles and soluble proteins, resulting in lower protein contamination. However, it may yield fewer EVs due to potential loss or damage during processing. Density gradient centrifugation isolates EVs based on buoyant density but typically requires a preliminary ultracentrifugation step for optimal results [9, 93]. Comparative studies have shown that SEC-based methods typically yield higher particle-to-protein ratios than ultracentrifugation or precipitation, suggesting greater EV purity. However, yield can vary depending on the sample type and intended downstream application. The choice of isolation method depends on the intended application of EVs. For example, miRCURY precipitation achieves the highest particle count from serum, followed by Exo-spin and qEV (both SEC-based), ultracentrifugation, and finally exoRNeasy [93, 94]. The choice of EV isolation method should be guided by the intended application, whether it be for high-yield recovery, low protein contamination, or functional studies. A detailed comparison of these techniques is provided in Table 2.
Table 2.
Comparison of EV isolation techniques
| Isolation technique | Principle | Types | Recovery | Purity | Samples volume | Processing Time | References |
|---|---|---|---|---|---|---|---|
| Ultracentrifugation | Sequential separations of particulate components and solutes based on their density, size, and shape | Differential centrifugation | 5–25% | Low | 100s of mLs | 8 h | [95–97] |
| Density gradient centrifugation | Higher than UC | Similar to UC | Up to 1 mL | 20 h | |||
| Rate-zonal centrifugation | Variable | Moderate | Variable | Variable | |||
| Size based techniques | Uses membrane filters, columns, or laminar flow dynamics to separate particles based on size and shape | Ultrafiltration | Moderate | Varies; depends on filter size | 5–50 mL | ~ 150 minutes | [98] |
| Exosome isolation kit | High | High; optimized for specific applications | 1–5 mL | Varies by kit | |||
| Sequential filtration | Moderate | Moderate to high | 10–20 mL | Hours | |||
| Size exclusion chromatography (SEC) | High | Moderate to high; less protein co-isolation1 | 1–5 mL | Hours | |||
| Flow field-flow fractionation (FFFF) | High | High; depends on antibody specificity | 50-100 μL | Hours | |||
| Hydrostatic filtration dialysis (HFD) | Variable | Low to moderate | Moderate; depends on membrane properties | 10–20 mL | |||
| Immunoaffinity capture-based techniques | Utilizes antibodies or magnetic beads coated with antibodies to capture specific EV subpopulations | Enzyme-linked immunosorbent assay (ELISA) | Variable | High; depends on antibody specificity | 50–100 μL | Hours | [99, 100] |
| Magneto-immunoprecipitation | High | Very high; effective for specific targets | 1–5 mL | 1–3 hours | |||
| Precipitation kits | Employs polymers to precipitate EVs from samples | Polyethylene glycol (PEG) precipitation | Moderate | Moderate; can co-precipitate proteins | > from 100 μL up to several mLs | Overnight | [101, 102] |
| Lectin-induced agglutination | Variable | Low | > 100 μL | Overnight | |||
| Microfluidic-based isolation techniques | Uses an acoustic field or immuno-based microfluidics to isolate EVs | ExoSearch chip | 42–97% | Higher than UC | 10–100 μL | 40–60 min | [103, 104] |
| Acoustic nanofilter | Very high (>80%), minimizes damage to EVs | High | 50 μL | < 30 min |
Fig. 3.
Schematic illustration of extracellular vesicle (EVs) isolation methods. a Ultracentrifugation: large and small EVs are separated by centrifugation at speeds of 10,000–20,000 g and 100,000–120,000 g, respectively. Density gradient ultracentrifugation can further purify EVs. b Filtration: membrane filters with varying pore sizes are used to isolate EVs of specific sizes. c Size exclusion chromatography (SEC): A SEC column with porous beads allows smaller particles, like proteins, to enter. EVs, being larger, migrate faster and are thus isolated. d Precipitation: precipitants in the solution cause less soluble particles, including EVs, to exceed their solubility limit and precipitate. e Immunoaffinity capture: antibodies targeting EV surface proteins are used to selectively isolate specific EV subpopulations. f Microfluidics: this method involves the use of microfluidic devices for EV isolation
Drug Loading Strategies
Drug loading strategies are broadly categorized into pre-loading and post-loading methods. Pre-loading involves incorporating drugs into parental cells via transfection or co-incubation, allowing drugs to be packaged into EVs during their biogenesis. Post-loading methods include direct incorporation of drugs into isolated EVs using techniques such as incubation, electroporation, sonication, extrusion, freeze/thaw cycles, or surfactants [105]. The hydrophobic lipid bilayer of EVs provides an optimal microenvironment for encapsulating and stabilizing hydrophobic drugs such as PTX. Unlike polymeric NPs or albumin-bound formulations, EVs incorporate PTX within their membrane structure, improving solubility and protecting the drug from premature degradation. This enhances the pharmacokinetic profile of PTX and allows for higher loading efficiencies without surfactants or organic solvents, potentially reducing systemic toxicity [106]. Comparative studies have shown that PTX-EVs exhibit increased tumor accumulation and reduced off-target distribution relative to synthetic nanocarriers, highlighting their potential as effective drug delivery vehicles [38, 107]. PTX can passively diffuse into EV membranes during co-incubation, though this typically results in low loading efficiencies [13, 106]. Reported encapsulation efficiencies of PTX in EVs vary considerably depending on the cell source and loading methodology, with values ranging from approximately 4.2% in EVs derived from human pancreatic ductal carcinoma cells via passive incubation, to 14.23% in human umbilical cord MSC-EVs using extrusion, and up to 19.55% in M1 macrophage-derived EVs following sonication [108–110]. Haney et al. confirmed the efficiency of sonication in intracellular accumulation and delivery of PTX via M-EVs to triple-negative breast cancer cell (TNBC) [111]. However, sonication may compromise EV structural integrity due to mechanical stress. Performing sonication in an ice bath can help mitigate this risk. Kim et al. demonstrated that electroporation achieved superior PTX loading compared to both incubation and sonication [38], while Fuhrmann et al. reported that using saponin or hypotonic dialysis increased efficiency up to 11-fold over traditional methods like incubation or electroporation, highlighting the significant impact of the loading method on drug encapsulation [112]. Advances in microfluidic technology have led to the development of integrated systems capable of both isolating and loading EVs. A lab-on-a-chip platform using surface acoustic waves and miniaturized electroporation demonstrated comparable purity to ultracentrifugation but with improved drug loading and cellular uptake of PTX-EVs, highlighting the potential of this technology to streamline EV-based drug delivery systems for cancer treatment [113]. These findings underscore the importance of selecting drug-loading techniques based on the physicochemical properties of the drug and the lipid composition of EVs. While significant progress has been made, further optimization is essential for clinical translation. Future efforts should focus on refining current techniques and developing innovative approaches to enhance EV purity, loading efficiency, and therapeutic functionality.
Preclinical Studies of PTX-EVs
In Vitro Examinations
Unmodified PTX-EVs
Unmodified or minimally modified EVs represent the foundational approach to PTX delivery, leveraging the intrinsic targeting capabilities and biocompatibility of EVs derived from tumor cells or MSCs. These EVs typically undergo drug loading without extensive surface engineering, maintaining their natural biological functions and tumor-homing properties. Kanchanapally et al. delivered PTX using exosomes (110 to 125 nm) derived from MDA-MB-231 and MCF-7 breast cancer cells and compared their efficacy against these cell lines with free PTX and liposomal PTX. The results showed that PTX delivered with exosomes was more efficient in inhibiting cancer cell growth compared to both free and liposomal PTX. In MBA-MB-231 cells, exosomal PTX exhibited a significantly lower half-maximal inhibitory concentration (IC50) of 2.87 nM compared to liposomal PTX (IC50 8.11 nM), and free PTX (IC50 12.14 nM). Similarly, in MCF-7 cells, exosomal PTX demonstrated a lower IC50 value of 2.36 nM while liposomal PTX and free PTX had IC50 values of 2.91 nM and 3.83 nM, respectively (p < 0.05). This enhanced efficacy in inhibiting cell growth was attributed to the higher intracellular accumulation of PTX-EVs. The study also showed that exosomal PTX induced apoptosis more effectively by modulating p21, Bax, Bcl-2, and Bcl-xL proteins (p < 0.05). However, the study does not fully elucidate the mechanisms by which exosomes facilitate drug delivery across cell membranes, necessitating further investigation [114]. Similarly, Bi et al. enhanced the efficacy of hepatocarcinoma treatment by using PTX-loaded TC-EVs, which leverage both the EPR effect and the inherent tumor-homing properties of TC-EVs for targeted drug delivery. Accordingly, the TC-EV-PTX formulation (EVPA) exhibited superior antitumor efficacy compared to free PTX. Notably, EVPA administration led to enhanced immune responses, characterized by increased infiltration of CD4 + and CD8 + T cells into the tumor site. While TC-EVs leverage inherent tumor-homing properties, the risk of pro-tumorigenic effects and the potential for transferring drug resistance mechanisms necessitate modification strategies [115]. Expanding the scope to explore the potential of EVs in modulating cellular processes, a study explored the potential of PTX-EVs as a therapeutic strategy for cancer treatment, focusing on the modulation of autophagy pathways. EVs were isolated from A549 lung cancer cells and loaded with PTX. The PTX-EVs effectively induced apoptosis in A549 and MCF-7 breast cancer cells while inhibiting autophagy, suggesting a promising approach for effective chemotherapy through targeted delivery [116]. Loading PTX into autologous EVs derived from Lymph Node Carcinoma of the Prostate (LNCaP) and Prostate Cancer-3 (PC-3) cells significantly enhanced cytotoxicity against cancer cells, increasing the effect from 16% to 40% after 24 hours across various EV populations. Both exosomes and microvesicles delivered PTX to recipient cells through endocytosis, further aiding intercellular drug release. While unloaded EVs increased cancer cell viability, PTX-EVs significantly enhanced cytotoxicity. The increased cancer cell viability with unloaded EVs indicates that EVs are not simply inert carriers and must be carefully evaluated for biological activity [106].
MSC-EVs present a more refined approach with the potential for targeted delivery and reduced immunogenicity. Various studies have explored the synergistic potential of combining MSC-EVs with PTX to enhance efficacy and reduce toxicity in cancer treatments. For instance, a recent study demonstrated the synergistic effect of PTX with the secretome from human uterine cervical MSCs (CM-hUCESC) in targeting TNBC. This combination showed promising results by decreasing tumor cell proliferation and invasiveness in vitro. Specifically, the combination of PTX (1 µM, 3 µM, and 5 µM) with CM-hUCESC (1 µM, 3 µM, and 5 µM) significantly inhibited the proliferation of MDA-MB-231 cells and primary breast cancer cells, allowing for superior effects at lower PTX concentrations compared to higher doses of free PTX (p < 0.0001). Additionally, the treatment altered cell cycle progression and induced apoptosis, with tissue inhibitor of metalloproteinases-1 (TIMP-1) and TIMP-2 identified as key mediators of the anti-tumor effects (p = 0.004) [117]. While EVs are being explored as drug delivery vehicles, their role in promoting chemoresistance has also been reported. In TNBC, PTX treatment elicited C-X-C motif chemokine ligand 1 (CXCL1) growth factor-enriched EVs from apoptotic cancer cells, promoting chemoresistance and invasion of co-cultured TNBC cells through M2 macrophage polarization. These findings highlight the complex role of EVs in cancer treatment, where they can serve as both drug delivery vehicles and mediators of resistance mechanisms. Future strategies may need to combine drug delivery with approaches to mitigate EV-induced drug resistance [118]. Additional studies on the application of PTX-EVs in in vitro cancer models are summarized in Table 3. Despite their promising intrinsic tumor-targeting capabilities and biocompatibility, unmodified PTX-EVs face several critical limitations. These include limited drug loading efficiency, rapid clearance by the reticuloendothelial system, insufficient targeting specificity, off-target effects, and challenges with in vivo stability.
Table 3.
Application of exosomes for PTX delivery in in vitro cancer models
| EV source | Isolation method | Tumor model/cell line(s) | IC50 (PTX-EVs) | IC50 (Free PTX) | Apoptosis/growth inhibition | Mechanism/key findings | References |
|---|---|---|---|---|---|---|---|
| Macrophage-derived exosomes | Total Exosome Isolation Kit |
3LL-M27 (mouse lung carcinoma) MDCK wt (wild-type kidney cells) MDCK MDR1 (multi drug-resistant) |
3LL-M27: 13.57 ± 1.33 MDCK wt: 23.33 ± 3.77 MDCK MDR1: 187.5 ± 38.65 |
3LL-M27: 126.41 ± 31.31 MDCK wt: 428.77 ± 63.37 MDCK MDR1 > 10,000 |
> 50-fold increase in cytotoxicity compared to free PTX; 40% viability reduction (MDR1-MDCK); ↑apoptosis | Significant increase in cytotoxicity and apoptosis in MDCKMDR1 (Pgp + ) MDR cells | [38] |
| LNCaP & PC-3 (prostate) | Differential centrifugation | LNCaP, PC-3 | 50 nM | 10 nM | 40% decrease in PC-3 cell viability after 24 h; 80% decrease in LNCaP cell viability after 24 | Reduced microvesicle-mediated cytotoxicity by ~ 30%; | [106] |
| MSCs (human) | Ice-cold extraction solvent | SK-OV-3, A549, MDA-hyb1 | Not specified | Not specified | 80–90% cytotoxicity; > 60% tumor reduction, ~ 50% metastasis reduction | Synergistic effect at lower PTX concentrations; PTX-EV contained a 7.6-fold lower PTX concentration than the amount of free PTX needed for equivalent cytotoxicity | [119] |
| U-87 MG (glioblastoma) | Exo-spin™ kit | U-87 MG | 59.92% | 80.70% | 60% cell death at 10 μg/mL (sonication method) | Sonication > incubation for drug loading/efficacy | [120] |
| Pancreatic ductal cells | Total exosome isolation kit | Pancreatic ductal adenocarcinoma/PANC-1, MIA PaCa-2 and BxPC-3 cells | 10 to 100 nM | Not specified; higher than PTX-EV IC50 | Enhanced apoptosis | Clathrin-mediated endocytosis | [121] |
| MSCs (human) | Ultracentrifugation | CFPAC-1 (pancreatic cancer) | 2.73 ng/mL | 2.54 ± 1.75 ng/mL | 60% proliferation inhibition at 48h; ↑apoptosis | Higher efficacy than free PTX | [122] |
Surface Functionalized PTX-EVs
To overcome limitations of natural EVs, surface functionalization with targeting ligands has been extensively explored to enhance drug delivery and therapeutic efficacy. For example, a multifunctional nanosystem—referred to as EPM—was developed by co-extruding TC-EVs, PTX-albumin (PA), and melanin, enabling combined chemo-photothermal-immunotherapy for breast cancer. The EPM was efficiently taken up by 4T1 breast cancer cells, with uptake rates reaching 84.1% after 1 hour and nearly 100% after 3 hours. The internalization process was found to be energy-dependent, primarily mediated by lectin pathways. EPM exhibited enhanced cytotoxicity compared to free PA, inducing 71.6% apoptosis in 4T1 cells. When exposed to near-infrared (NIR) laser irradiation, the apoptotic rate increased to 87.7%, highlighting the synergistic effect of photothermal therapy with EV-mediated combinational chemo-immunotherapy [123]. Kim et al. engineered M-EVs isolated from RAW 264.7 cells with aminoethylanisamide-polyethylene glycol (AA-PEG) for targeted PTX delivery. Engineered EVs specifically bind to sigma receptors overexpressed on 3LL-M27 lung cancer cells and enable precise tumor targeting. By leveraging the innate biocompatibility of exosomes and integrating active targeting strategies, this approach overcame the rapid clearance and inefficient tumor penetration of EVs, providing a promising platform for precision oncology. However, the impact of sigma receptor expression levels in different cancer types on the binding affinity and specificity of AA-PEG-modified EVs requires further exploration [124]. Folic acid (FA) modification has also been explored in engineering EVs for PTX delivery. The use of FA-functionalized bovine milk exosomes for co-delivery of PTX and 5-fluorouracil (5-FU) in breast cancer therapy showed promising in vitro outcomes. The practical drug loading of Exo-PTX was notably higher (28 ± 3.9%) than that of Exo-5-FU (19 ± 4.6%), while folate-targeted formulations, FA-Exo-PTX and FA-Exo-5-FU, demonstrated slightly lower loading efficiencies at 26 ± 2.6% and 17 ± 2.9%, respectively. Despite these differences in loading capacities, all formulations achieved comparable entrapment efficiencies within the range of 75–85%. The enhanced cellular uptake and sustained drug release profiles (25% for up to 48 h) of FA-modified exosomes in MCF-7 and MDA-MB-231 cell lines were attributed to folate receptor-mediated targeting. The Exo-5-FU and Exo-PTX + Exo-5-FU formulations demonstrated a significant reduction in IC50 values, decreasing from 2.2 ± 0.4 μM and 0.28 ± 0.12 μM, respectively, when compared to free PTX (0.6 ± 0.5 μM) and unloaded EVs (13 ± 1.6 μM). These treatments also suppressed cell migration and increased apoptotic indices, achieving values of 0.92 in MCF-7 and 0.91 in MDA-MB-231 cells. Notably, FA functionalization amplified cytotoxicity, enhanced tumor-specific accumulation, and improved intracellular delivery. These effects are likely attributed to enhanced intracellular PTX delivery facilitated by the strong interaction between FA and folate receptors, which promotes improved cellular uptake and therapeutic efficacy [125]. However, experimental models are required to characterize the synergistic efficacy, systemic biodistribution, toxicity profiles, and TME interactions of FA-functionalized EVs. Similarly, in the study conducted by Kandimalla et al., an innovative FA-Exo-PTX formulation was developed utilizing exosomes derived from bovine colostrum to enhance the therapeutic efficacy of PTX in NSCLC treatment [3]. Another approach to enhance targeting efficiency involves engineering EVs with specific peptides. Exosomes derived from embryonic stem cells were utilized to deliver PTX across the BBB for glioblastoma treatment. Exosomes were engineered with the c(RGDyK) peptide and loaded with PTX (cRGD‐Exo‐PTX). Comparative analysis demonstrated that the cRGD‐Exo‐PTX exhibited superior efficacy in delivering PTX to glioblastoma cells compared to unmodified exosomes or free PTX. The designed system represented considerable antiproliferation effects on U87 and U251 human glioblastoma cell lines [126]. Surface functionalization markedly improves the targeting specificity and therapeutic efficacy of PTX-EVs, enabling enhanced cellular uptake and overcoming biological barriers. Despite promising in vitro outcomes, further in vivo studies are necessary to fully understand biodistribution, toxicity, and TME interactions, alongside the need to optimize functionalization techniques for scalable manufacturing.
Hybrid PTX-EVs Systems
Hybrid EV systems represent a significant advancement in drug delivery by combining the natural biocompatibility and targeting abilities of EVs with the customizable features of synthetic NPs like liposomes or lipid NPs [127]. These hybrids are created using various techniques-such as incubation, electrostatic interactions, PEG-mediated fusion, co-extrusion, and freeze-thaw cycles-to merge EVs with synthetic carriers, resulting in delivery vehicles that offer improved cargo loading, stability, and surface modification capabilities while maintaining low immunogenicity [128]. Kim et al. developed hybrid exosomes (HE) by fusing exosomes with liposomes for PTX delivery (PTX-HE) to TNBC cells. The PTX-HE had improved drug loading capacity (6.20 ± 0.79%) and encapsulation efficiency (86.79 ± 11.07%) compared to unmodified liposomes (48.60 ± 3.68%). In vitro studies demonstrated higher cellular uptake efficiency and stronger anti-migration effects of PTX-HE. This biohybrid nanosystem exhibited a significantly lower IC50 value (4.32 ± 0.48 μg/mL) and enhanced anti-migration effects while reducing cell mobility to 16% compared to PTX-liposomes (6.32 ± 3.08 µg/mL) [129]. Wang et al. developed such a hybrid system by combining MSC-derived exosomes with liposomes, which significantly enhanced the PTX loading capacity-achieving a 120% increase compared to natural exosomes alone (2.2% vs. 1.0% loading content). This improvement was primarily attributed to the hybrid structure, where the EV component facilitated hydrophobic drug encapsulation, while the liposomal fusion contributed to a sustained drug release profile over 48 hours, overcoming the rapid burst release seen with natural exosomes. The hybrid EVs also demonstrated markedly improved cellular uptake and targeting specificity towards tumor cells, including CT26 colon carcinoma, mouse melanoma B16 cell line, and human ovarian cancer A2780 cells, which overexpress folate receptors. Furthermore, the engineered HE exhibited excellent stability, maintaining consistent particle size in serum-containing media for up to four weeks, whereas unmodified exosomes showed significant aggregation under similar conditions. These findings underscore the potential of hybrid EV systems as stable, efficient, and targeted nanocarriers for cancer drug delivery [130]. Hybrid EV systems combining natural vesicles with synthetic NPs offer superior drug loading, stability, and multifunctionality, representing a promising direction for effective PTX delivery. Nevertheless, their increased complexity introduces challenges related to reproducibility, immunogenicity, off-target effects, and large-scale production, necessitating standardized protocols and comprehensive in vivo validation.
In Vivo Tumor Models
Minimally Modified PTX-EVs
The transition from in vitro to in vivo models is crucial for validating the therapeutic potential of EV-based PTX delivery systems. For example, studies using zebrafish models demonstrated that EV-PTX and doxorubicin effectively cross the BBB and target brain tumors, highlighting their potential for treating central nervous system malignancies [131]. Studies in mice have shown that EV-encapsulated drugs exhibit superior anticancer effects compared to free drugs. This enhanced efficacy is attributed to the ability of EVs to improve drug bioavailability, reduce systemic toxicity, and enhance targeted delivery to tumor sites [110, 132]. Similarly, milk-derived exosomes loaded with PTX exhibited markedly enhanced efficacy against lung tumor xenografts in mice. Orally administered PTX-loaded milk exosomes significantly inhibited tumor growth compared to intraperitoneal injections of free PTX and showed considerably lower systemic and immunological toxicities [133]. Furthermore, PTX-loaded milk exosomes displayed considerably lower systemic and immunological toxicities than free PTX. However, the mechanisms underlying the improved oral bioavailability of PTX-loaded milk exosomes remain unclear and warrant further investigation [134]. Aquil et al. investigated the antiproliferative effects of berry anthocyanidins (Anthos) and exosomal formulations in an animal model of ovarian cancer and demonstrated that the combination of ExoAnthos and EV-PTX significantly enhanced antitumor activity compared to individual treatment in cervical tumor xenografts (61%; p < 0.01). Oral administration of EV-PTX achieved higher therapeutic efficacy compared to free PTX, highlighting the potential of exosomal delivery in enhancing the bioavailability and tolerability of PTX [135]. The in vivo efficacy of combining MSC secretomes with PTX was confirmed in the NMRI fox1 nu/nu mouse tumor xenograft model. Mice treated with the combination of PTX and CM-hUCESC exhibited significant reductions in tumor growth. Notably, the combination therapy showed enhanced efficacy in reducing tumor growth, particularly evident at day 14 post-treatment (p = 0.025) [117]. Despite the benefits of EVs in targeting tumor sites and penetrating deep into tumor tissues, concerns have been raised regarding their potential to activate tumors when derived from cancer cells [136]. While natural and minimally modified EVs have demonstrated significant in vivo efficacy in various tumor models, challenges such as understanding long-term safety, tumor-promoting risks, and mechanisms of enhanced oral delivery remain to be addressed.
Surface-Engineered PTX-EVs
Engineering EVs can result in a notable suppression of tumor development without noticeable side effects in experimental models [69]. For instance, modification of human umbilical vein endothelial cells (HUVECs)-derived EVs with biotin-avidin resulted in improved cancer targeting activity in a mouse model of HepG2 human hepatocellular carcinoma, increasing the bloodstream maintenance of PTX up to 48 hours. However, the long-term effects of biotin-avidin modification on EV immunogenicity and potential off-target effects need to be further investigated [137]. Regarding the increased cytotoxicity against drug-resistant cancer cells, Kim et al. further optimized the encapsulation of PTX into macrophage exosomes with an AA-PEG vector moiety to specifically target the sigma receptor in vivo. This approach was tested in C57BL/6 mice with pulmonary metastases established by injecting 3LL-M27 cells. Exosomes were isolated from autologous macrophages, labeled with DiL (red), and functionalized with the PEG-AA vector composed of the lipid molecule 1,2-distearoyl-sn-glycero-3-phosphoethanolamine–polyethylene glycol–ascorbic acid. Mice with established lung metastases were intravenously injected with these vectorized exosomes (DiL-AA-PEG-exo) or non-vectorized exosomes (DiL-exo) as the control group. The antineoplastic effects of PTX-EVs were evaluated using 3LL-M27 cells transduced with lentiviral vectors encoding the optical reporter mCherry. The results showed superior antineoplastic efficacy of AA-PEG-exoPTX compared to non-vectorized exoPTX or Taxol, leading to the potent eradication of pulmonary metastases. Additionally, confocal imaging revealed close co-localization of fluorescently labeled AA-PEG-exosomes with cancer cells in the mouse liver, suggesting potential applications for pulmonary metastases therapy [124]. Kandimalla et al. reported that FA-Exo-PTX demonstrated significant efficacy in vivo, achieving over 50% tumor reduction and 55% growth inhibition after subcutaneous injection in a xenograft mouse model of lung cancer. These results surpassed the efficacy of free PTX injected intravenously and matched that of Abraxane. Importantly, the oral administration of FA-Exo-PTX demonstrated a significantly improved safety profile. This approach effectively avoided the systemic toxicities commonly associated with solvent-based PTX administration. However, it should be noted that the enhanced efficacy and safety profile of FA-Exo-PTX may be specific to certain lung cancer subtypes that express high levels of folate receptors [3]. To address the challenge of targeting collagen-rich pancreatic TME, researchers designed a formulation (rmExo-PTX) by conjugating RGD ligands and magnetic NPs (MNPs) with autologous EVs from human pancreatic cancer cells (PANC-1). Engineered EVs demonstrated enhanced therapeutic efficacy in PANC-1 xenograft mice, resulting in significant tumor reduction compared to free PTX. The RGD modification facilitated targeted delivery by binding to αvβ3 integrins, which are overexpressed on pancreatic cancer cells. Notably, autologous EVs derived from PANC-1 cells exhibited superior homing properties compared to heterologous EVs, such as those derived from U937 or HT29 cells, due to shared integrin β3 expression between the PANC-1 cells and their EVs. Furthermore, rmExo-PTX mediated ECM remodeling by reducing α-smooth muscle actin and collagen type I, thereby enhancing tumor penetration. Although MNPs were incorporated into the EVs, external magnetic guidance did not provide additional therapeutic benefits, proving the intrinsic targeting capabilities of the EVs. These findings underscore the potential of autologous EVs as a potential tool to cross stromal barriers in pancreatic cancer, leveraging both active targeting and intrinsic homing mechanisms to optimize drug delivery [110]. These surface-functionalization strategies demonstrate significant improvements in targeting specificity, therapeutic efficacy, and safety profiles of PTX-EVs in vivo. However, long-term safety and immunogenicity require further evaluation.
Hybrid and Stimuli-Responsive PTX-EV Systems
Hybrid and stimuli-responsive PTX-EV nanosystems combine EVs with other nanomaterials or external triggers to enhance drug delivery and therapeutic outcomes. Studies on experimental models have demonstrated that encapsulation of EVs within NPs achieved high drug loading capacity, resulting in enhanced cytotoxicity and improved drug accumulation at the tumor site. For example, erythrocyte membrane-coated PTX spherical crystals demonstrated superior efficacy in inhibiting tumor growth compared to free PTX in tumor-bearing murine models [138]. Wang et al. evaluated the therapeutic efficacy of their HE-liposome system loaded with PTX (ELP) using a CT26 colon carcinoma tumor-bearing mouse model. Mice treated intratumorally with ELP at 6 mg/kg PTX showed significantly greater tumor growth suppression compared to those receiving free PTX or the HE-liposome vector without drug. Survival analysis demonstrated that ELP treatment notably prolonged the lifespan of tumor-bearing mice. Importantly, ELP administration did not cause significant changes in body weight or induce pathological damage in major organs such as the heart, lungs, spleen, and kidneys, indicating a favorable safety profile. Additionally, analysis of the TME revealed that ELP treatment activated CD4 + and CD8 + T cells, decreased immunosuppressive regulatory T cells, reduced M2-type tumor-associated macrophages (TAMs), and promoted polarization of TAMs toward the pro-inflammatory M1 phenotype. These findings highlight that, beyond enhanced drug delivery, the hybrid EV system modulates the tumor immune microenvironment to potentiate antitumor immunity and improve therapeutic outcomes in vivo [130]. While this approach shows promise, the complexity of manufacturing EV-NP hybrids may limit their scalability and cost-effectiveness. In vivo studies demonstrated that PTX-HE exhibited 1.9-fold higher tumor retention in delivering PTX to a TNBC mouse model compared to liposomes. Enhanced therapeutic efficacy was confirmed by a tumor inhibition rate of 60% and a significant reduction in average tumor weight in the PTX-HE group (0.37 ± 0.21 g) compared to the control group (0.95 ± 0.24 g). Safety evaluations revealed minimal systemic toxicity, as indicated by lower levels of liver and kidney function markers relative to free PTX, with no significant organ damage observed. Nonetheless, long-term studies are necessary to evaluate potential risks associated with PTX-EVs, including drug resistance and the promotion of metastasis [129]. While this approach shows promise, the complexity of manufacturing EV-NP hybrids may limit their scalability and cost-effectiveness. In vivo studies using an orthotopic 4T1 breast cancer mouse model further validated the efficacy of the EPM nanosystem for PTX delivery. Following peritumoral injection, photoacoustic imaging revealed the highest EPM accumulation at the tumor site within 4 to 8 hours. Upon NIR laser activation, the EPM + laser group showed significant tumor growth inhibition without recurrence throughout the observation period, significantly higher than controls (PBS, PBS + laser, PA, and EM groups). Notably, EPM treatment did not cause significant changes in body weight, indicating minimal systemic toxicity. Fluorescence imaging after intravenous injection demonstrated rapid tumor targeting and clearance, with minimal retention in other tissues. However, the requirement for NIR laser activation limits the use of this formulation in tumors that are not easily accessible to light [123]. Table 4 summarizes the application of exosomes for PTX delivery in various in vivo cancer models. Collectively, these in vivo experiments underscore the remarkable potential of EV-based drug delivery systems to enhance therapeutic efficacy, reduce systemic toxicity, and overcome biological barriers while highlighting the need for further research to address challenges such as scalability and clinical applicability.
Table 4.
Application of exosomes for PTX delivery in vivo cancer models
| EV source | Modification | Tumor Model | Tumor Model | Quantitative Outcome | Mechanism/ Comparative Advantage | Ref |
|---|---|---|---|---|---|---|
| Macrophage | Unmodified | C57BL/6 mice with metastatic Lewis lung carcinoma | Free PTX and PTX-EV: 107 particles/10 µL x 2; injected intra tail vein | Tumor volume reduction: 60% with PTX-EV, 25% with PTX | Increased cellular uptake, reverse multi-drug resistance | [38] |
| Macrophage | Nanoformulation with aminoethyl anhydride-polyethylene glycol carrier | Mice model of lung cancer | PTX-EV: 4 × 1011 particles/100 μl; injected intra tail vein | 60-70% fewer metastatic nodules with PTX-EV | Inhibition of pulmonary metastasis and enhanced lung-targeting capabilities | [124] |
| M1 and M2-macrophages | Unmodified | Xenograft tumor-bearing Balb/c mice | specifiedFree PTX and PTX-EV: 5 mg/kg; intravenous injection | 2-fold reduction in tumor size with PTX-EV | Activated proinflammatory M1 signaling/ Immunomodulation improved anti-tumor properties in PTX-EV | [109] |
| Brain neuronal glioblastoma-astrocytoma U-87 MG, endothelial bEND.3, neuroectodermal tumor PFSK-1, and glioblastoma A-172 cell line | Unmodified | Zebrafish (Danio rerio) | 0.2 mg/ml PTX-EV; delivered across BBB | Tumor inhibition by 40-60% with PTX-EV | Crossing BBB with intact PTX payload/ Localized delivery | [139] |
| Pancreatic ductal cells | Exo/PTX saucer-like double-layer nanoformulation | Lung adenocarcinoma in nude mice | Free PTX and PTX-EV: 10 mg/kg | Tumor inhibition: 50% with PTX-EV, 30% with PTX | Enhanced retention in tumor site/ Prolonged circulation half life | [140] |
Optimizing PTX-EVs for Clinical Use: Emerging Strategies and Practical Barriers to Clinical Translation
The clinical translation of engineered EVs for PTX delivery faces several practical challenges. Maintaining the integrity and functionality of EVs during large-scale, good manufacturing practice (GMP)-compliant EV production is limited due to the need for precise control over reaction conditions and purification steps, batch-to-batch variability, low yields, and difficulties preserving EV integrity during isolation, modification, and PTX loading [141, 142]. Although techniques such as tangential flow filtration and SEC are being optimized for scalability and reproducibility, regulatory frameworks for EV-based therapeutics remain under development [143]. Comprehensive preclinical and clinical toxicology evaluations-including immunogenicity, biodistribution, and off-target effects-are essential to ensure safety and efficacy prior to clinical adoption [144]. The performance of stimuli-responsive EVs depends heavily on TME conditions. Variability in TME pH (6.2 to 7.0) can lead to inconsistent drug release, as some pH-sensitive linkers may not activate in less acidic regions [145]. Temperature-responsive systems also face limitations due to modest temperature differences between tumor and normal tissues [146]. Tumor heterogeneity further complicates the predictability and reproducibility of EV-based systems for PTX delivery, highlighting the need for robust, clinically feasible stimuli-responsive systems validated in vivo [106, 147]. Fabrication methods such as electroporation, incubation, sonication, and freeze-thaw cycles have been employed, with electroporation-enhanced hybridization yielding the highest PTX loading efficiency [148]. The development of exosome–liposome hybrid NPs, which utilize both the natural targeting properties of EVs and the customizable features of liposomes, exemplifies a promising direction for enhancing drug accumulation at tumor sites [149, 150]. Comparative analysis of recent research on PTX delivery highlights several strategies from liposomal formulations that could be leveraged to advance EV-based systems. PTX-EV–liposome hybrids demonstrate improved solubility, enhanced tumor accumulation, and reduced systemic toxicity compared to EVs or liposomes alone [151]. Liposomal PTX carriers can be extensively modified with functional moieties such as PEGylated folate, glutamic hexapeptide-FA derivatives, estrone, and pH-responsive peptides. These modifications have led to enhanced tumor targeting, prolonged systemic circulation, and improved therapeutic outcomes, as demonstrated in preclinical models of breast, ovarian, and brain cancer [146, 152–154]. Notably, the co-delivery of chemotherapeutics and siRNA in dual-modified cationic liposomes, as well as the use of hybrid nanosystems combining liposomes and EVs, has shown synergistic effects against tumor growth and resistance [154]. Another promising approach is the encapsulation of PTX prodrugs within EVs to enable stimuli-activated drug release. These prodrugs remain stable during circulation and activate specifically within the TME, where elevated glutathione levels or acidic pH trigger drug release. This strategy enhances PTX stability, minimizes premature leakage, and allows controlled, site-specific activation. Optimized loading conditions—including pH, temperature, and ultrasound—have produced EV formulations with high drug-loading capacity, efficient tumor cell accumulation, and potent antiproliferative effects [155]. Additionally, biomimetic decoy EVs co-loaded with PTX and immune checkpoint inhibitors offer a novel means to overcome the immunosuppressive TME. These EVs sequester immunosuppressive signals such as programmed death-ligand 1 (PD-L1) while delivering PTX directly to tumor cells. Preclinical studies demonstrate that co-delivery of PTX and immune checkpoint inhibitors via EVs enhances antitumor immunity, reduces tumor growth, and overcomes resistance to monotherapy. This synergistic approach is especially promising for combination immuno-chemotherapy regimens targeting cancers lacking tumor-specific markers [156]. These findings suggest that surface engineering, combination therapy, and hybrid nanosystems can be adapted to improve the specificity, stability, and translational potential of EV-based PTX delivery platforms. Standardized protocols and rigorous analytical methods remain critical to improve reproducibility and unlock the full therapeutic potential of PTX-EVs.
Conclusion and Future Prospects
EVs have emerged as promising vectors for cancer therapy due to their inherent targeting capabilities and biocompatibility. Nonetheless, several obstacles must be overcome to fully realize their clinical potential. The choice of EV source critically influences therapeutic efficacy, as EVs retain characteristics from their parent cells that affect cargo capacity, biodistribution, and anticancer activity. Despite advances, a deeper understanding of EV composition and biomolecular mechanisms is needed. Scalable, GMP-compliant production remains a significant hurdle, complicated by complex and costly protocols. Enhancing targeting specificity through engineering will reduce off-target toxicity and improve therapeutic outcomes. Combining EV-PTX with immunotherapy, photothermal therapy, or other modalities may yield synergistic benefits. Furthermore, the development of EV analogs and hybrid systems offers promising avenues to overcome current limitations in stability, targeting, and drug-loading efficiency. Realizing the clinical promise of PTX-EVs will require multidisciplinary collaboration, standardized methodologies, and continued innovation..
Author Contributions
Conceptualization, literature search, and drafting: Mohamed J. Saadh; Critical revision of the manuscript: Hanan Hassan Ahmed, Radhwan Abdul Kareem; writing—review and editing: Mohamed J. Saadh, Ashishkumar Kyada, H. Malathi, Deepak Nathiya, Deepak Bhanot, Waam Mohammed Taher, Mariem Alwan, Mahmood Jasem Jawad, Atheer Khdyair Hamad; Funding acquisition, supervision: Hanan Hassan Ahmed.
Funding
This study was funded by the Researchers Supporting Project (ANUI2024M111), Alnoor University, Mosul, Iraq.
Data Availability
No new data were generated or analyzed in this study.
Declarations
Conflict of interest
Authors have no conflicts of interest or fundings.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Bray, F., J. Ferlay, I. Soerjomataram, R. L. Siegel, L. A. Torre, and A. Jemal. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 68:394–424, 2018. [DOI] [PubMed] [Google Scholar]
- 2.Haider, T., V. Pandey, N. Banjare, P. N. Gupta, and V. Soni. Drug resistance in cancer: mechanisms and tackling strategies. Pharmacol. Rep. 72:1125–1151, 2020. [DOI] [PubMed] [Google Scholar]
- 3.Kandimalla, R., F. Aqil, S. S. Alhakeem, J. Jeyabalan, N. Tyagi, A. Agrawal, et al. Targeted oral delivery of paclitaxel using colostrum-derived exosomes. Cancers (Basel). 13:3700, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Lucero, R., V. Zappulli, A. Sammarco, O. D. Murillo, P. S. Cheah, S. Srinivasan, et al. Glioma-derived miRNA-containing extracellular vesicles induce angiogenesis by reprogramming brain endothelial cells. Cell Rep. 30:2065–2074, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Tao, S.-C., and S.-C. Guo. Role of extracellular vesicles in tumour microenvironment. Cell Commun. Signal. 18:163, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Lu, J. The Warburg metabolism fuels tumor metastasis. Cancer Metastasis Rev. 38:157–164, 2019. [DOI] [PubMed] [Google Scholar]
- 7.Ou, Y.-H., J. Liang, B. Czarny, M. G. Wacker, V. Yu, J.-W. Wang, et al. Extracellular Vesicle (EV) biohybrid systems for cancer therapy: recent advances and future perspectives. Semin. Cancer Biol. 74:45–61, 2021. [DOI] [PubMed] [Google Scholar]
- 8.Maeda, H. Tumor-selective delivery of macromolecular drugs via the EPR effect: background and future prospects. Bioconjug. Chem. 21:797–802, 2010. [DOI] [PubMed] [Google Scholar]
- 9.Brennan, K., K. Martin, S. P. FitzGerald, J. O’Sullivan, Y. Wu, A. Blanco, et al. A comparison of methods for the isolation and separation of extracellular vesicles from protein and lipid particles in human serum. Sci. Rep. 10:1039, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Mura, S., J. Nicolas, and P. Couvreur. Stimuli-responsive nanocarriers for drug delivery. Nat. Mater. 12:991–1003, 2013. [DOI] [PubMed] [Google Scholar]
- 11.He, J., C. Li, L. Ding, Y. Huang, X. Yin, J. Zhang, et al. Tumor targeting strategies of smart fluorescent nanoparticles and their applications in cancer diagnosis and treatment. Adv. Mater. 31:1902409, 2019. [DOI] [PubMed] [Google Scholar]
- 12.Zhang, X., H. Zhang, J. Gu, J. Zhang, H. Shi, H. Qian, et al. Engineered extracellular vesicles for cancer therapy. Adv. Mater. 33:2005709, 2021. [DOI] [PubMed] [Google Scholar]
- 13.Ye, Z., T. Zhang, W. He, H. Jin, C. Liu, Z. Yang, et al. Methotrexate-loaded extracellular vesicles functionalized with therapeutic and targeted peptides for the treatment of glioblastoma multiforme. ACS Appl. Mater. Interfaces. 10:12341–12350, 2018. [DOI] [PubMed] [Google Scholar]
- 14.Sterzenbach, U., U. Putz, L.-H. Low, J. Silke, S.-S. Tan, and J. Howitt. Engineered exosomes as vehicles for biologically active proteins. Mol. Ther. 25:1269–1278, 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Cao, T. G. N., J. H. Kang, W. Kim, J. Lim, S. J. Kang, J. Y. You, et al. Engineered extracellular vesicle-based sonotheranostics for dual stimuli-sensitive drug release and photoacoustic imaging-guided chemo-sonodynamic cancer therapy. Theranostics. 12:1247, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Chandrakala, V., V. Aruna, and G. Angajala. Review on metal nanoparticles as nanocarriers: Current challenges and perspectives in drug delivery systems. Emergent Mater. 5:1593–1615, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Fonseka, P., A. L. Marzan, and S. Mathivanan. Introduction to the community of extracellular vesicles. New Front Extracell. Vesicles. 97:3–18, 2021. [DOI] [PubMed] [Google Scholar]
- 18.Egea-Jimenez, A. L., and P. Zimmermann. Thematic review series: exosomes and microvesicles: lipids as key components of their biogenesis and functions: phospholipase D and phosphatidic acid in the biogenesis and cargo loading of extracellular vesicles. J. Lipid Res. 59:1554, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Juan, T., and M. Fürthauer. Biogenesis and function of ESCRT-dependent extracellular vesicles. Semin. Cell Dev. Biol. 74:66–77, 2018. [DOI] [PubMed] [Google Scholar]
- 20.Xie, S., Q. Zhang, and L. Jiang. Current knowledge on exosome biogenesis, cargo-sorting mechanism and therapeutic implications. Membranes (Basel). 12:498, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Wei, D., W. Zhan, Y. Gao, L. Huang, R. Gong, W. Wang, et al. RAB31 marks and controls an ESCRT-independent exosome pathway. Cell Res. 31:157–177, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Henne, W. M., N. J. Buchkovich, and S. D. Emr. The ESCRT pathway. Dev. Cell. 21:77–91, 2011. [DOI] [PubMed] [Google Scholar]
- 23.Zhang, Y., Y. Li, P. Liu, D. Gong, H. Zhou, W. Li, et al. Phosphatase Shp2 regulates biogenesis of small extracellular vesicles by dephosphorylating Syntenin. J. Extracell. Vesicles.10:e12078, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Abels, E. R., and X. O. Breakefield. Introduction to extracellular vesicles: biogenesis, RNA cargo selection, content, release, and uptake. Cell Mol. Neurobiol. 36:301–312, 2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Wang, T., D. M. Gilkes, N. Takano, L. Xiang, W. Luo, C. J. Bishop, et al. Hypoxia-inducible factors and RAB22A mediate formation of microvesicles that stimulate breast cancer invasion and metastasis. Proc. Natl. Acad. Sci. 111:E3234–E3242, 2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Surman, M., A. Drożdż, E. Stępień, and M. Przybyło. Extracellular vesicles as drug delivery systems-methods of production and potential therapeutic applications. Curr. Pharm. Des. 25:132–154, 2019. [DOI] [PubMed] [Google Scholar]
- 27.Mathieu, M., L. Martin-Jaular, G. Lavieu, and C. Théry. Specificities of secretion and uptake of exosomes and other extracellular vesicles for cell-to-cell communication. Nat. Cell Biol. 21:9–17, 2019. [DOI] [PubMed] [Google Scholar]
- 28.Bao, Q., Q. Huang, Y. Chen, Q. Wang, R. Sang, L. Wang, et al. Tumor-derived extracellular vesicles regulate cancer progression in the tumor microenvironment. Front. Mol. Biosci.8:796385, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Zhao, W., K. Li, L. Li, R. Wang, Y. Lei, H. Yang, et al. Mesenchymal stem cell-derived exosomes as drug delivery vehicles in disease therapy. Int. J. Mol. Sci. 25:7715, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Haraszti, R. A., R. Miller, M. Stoppato, Y. Y. Sere, A. Coles, M.-C. Didiot, et al. Exosomes produced from 3D cultures of MSCs by tangential flow filtration show higher yield and improved activity. Mol. Ther. 26:2838–2847, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Kourembanas, S. Exosomes: vehicles of intercellular signaling, biomarkers, and vectors of cell therapy. Ann. Rev. Physiol. 77:13–27, 2015. [DOI] [PubMed] [Google Scholar]
- 32.Phan, J., P. Kumar, D. Hao, K. Gao, D. Farmer, and A. Wang. Engineering mesenchymal stem cells to improve their exosome efficacy and yield for cell-free therapy. J. Extracell. Vesicles. 7:1522236, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Lee, T. H., S. Chennakrishnaiah, B. Meehan, L. Montermini, D. Garnier, E. D’Asti, et al. Barriers to horizontal cell transformation by extracellular vesicles containing oncogenic H-ras. Oncotarget. 7:51991–52002, 2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Yang, P., Y. Peng, Y. Feng, Z. Xu, P. Feng, J. Cao, et al. Immune cell-derived extracellular vesicles–new strategies in cancer immunotherapy. Front. Immunol.12:771551, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Qiu, Y., Y. Yang, R. Yang, C. Liu, J.-M. Hsu, Z. Jiang, et al. Activated T cell-derived exosomal PD-1 attenuates PD-L1-induced immune dysfunction in triple-negative breast cancer. Oncogene. 40:4992–5001, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Zhang, F., R. Li, Y. Yang, C. Shi, Y. Shen, C. Lu, et al. Specific decrease in B-cell-derived extracellular vesicles enhances post-chemotherapeutic CD8+ T cell responses. Immunity. 50:738–750, 2019. [DOI] [PubMed] [Google Scholar]
- 37.Zhu, L., S. Kalimuthu, P. Gangadaran, J. M. Oh, H. W. Lee, S. H. Baek, et al. Exosomes derived from natural killer cells exert therapeutic effect in melanoma. Theranostics. 7:2732, 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Kim, M. S., M. J. Haney, Y. Zhao, V. Mahajan, I. Deygen, N. L. Klyachko, et al. Development of exosome-encapsulated paclitaxel to overcome MDR in cancer cells. Nanomed. Nanotechnol. Biol. Med. 12:655–664, 2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Pitt, J. M., F. André, S. Amigorena, J.-C. Soria, A. Eggermont, G. Kroemer, et al. Dendritic cell–derived exosomes for cancer therapy. J. Clin. Invest. 126:1224–1232, 2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Huang, Z., and Y. Feng. Exosomes derived from hypoxic colorectal cancer cells promote angiogenesis through Wnt4-induced β-catenin signaling in endothelial cells. Oncol. Res. 25:651, 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Sun, W., J. Luo, H. Jiang, and D. D. Duan. Tumor exosomes: a double-edged sword in cancer therapy. Acta Pharmacol. Sin. 39:534–541, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Biagiotti, S., F. Abbas, M. Montanari, C. Barattini, L. Rossi, M. Magnani, et al. Extracellular vesicles as new players in drug delivery: a focus on red blood cells-derived EVs. Pharmaceutics. 15:365, 2023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Zhang, J., H. Song, Y. Dong, G. Li, J. Li, Q. Cai, et al. Surface engineering of HEK293 cell-derived extracellular vesicles for improved pharmacokinetic profile and targeted delivery of IL-12 for the treatment of hepatocellular carcinoma. Int. J. Nanomed. 18:209–223, 2023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Aqil, F., J. Jeyabalan, A. K. Agrawal, A.-H. Kyakulaga, R. Munagala, L. Parker, et al. Exosomal delivery of berry anthocyanidins for the management of ovarian cancer. Food Funct. 8:4100–4107, 2017. [DOI] [PubMed] [Google Scholar]
- 45.Zhong, J., B. Xia, S. Shan, A. Zheng, S. Zhang, J. Chen, et al. High-quality milk exosomes as oral drug delivery system. Biomaterials.277:121126, 2021. [DOI] [PubMed] [Google Scholar]
- 46.Fisher, W. S., C. Tchounwou, S. Wei, L. Roberts, K. K. Ewert, and C. R. Safinya. Exosomes are secreted at similar densities by M21 and PC3 human cancer cells and show paclitaxel solubility. Biochim. Biophys. Acta (BBA). 1864:183841, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Najafi, M., B. Farhood, and K. Mortezaee. Cancer stem cells (CSCs) in cancer progression and therapy. J. Cell Physiol. 234:8381–8395, 2019. [DOI] [PubMed] [Google Scholar]
- 48.Bhat, A., A. Malik, P. Yadav, W. J. Ware, P. Kakalij, and S. Chand. Mesenchymal stem cell-derived extracellular vesicles: Recent therapeutics and targeted drug delivery advances. J. Extracell. Biol.3:e156, 2024. [Google Scholar]
- 49.Zhao, Y., Y. Zheng, Y. Zhu, Y. Zhang, H. Zhu, and T. Liu. M1 macrophage-derived exosomes loaded with gemcitabine and deferasirox against chemoresistant pancreatic cancer. Pharmaceutics. 13:1493, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Rojas, C., M. Campos-Mora, I. Cárcamo, N. Villalón, A. Elhusseiny, P. Contreras-Kallens, et al. T regulatory cells-derived extracellular vesicles and their contribution to the generation of immune tolerance. J. Leucoc. Biol. 108:813–824, 2020. [DOI] [PubMed] [Google Scholar]
- 51.Zidan, A. A., M. Al-Hawwas, G. B. Perkins, G. M. Mourad, C. J. M. Stapledon, L. Bobrovskaya, et al. Characterization of urine stem cell-derived extracellular vesicles reveals B cell stimulating cargo. Int. J. Mol. Sci. 22:459, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Shi, S., Q. Rao, C. Zhang, X. Zhang, Y. Qin, and Z. Niu. Dendritic cells pulsed with exosomes in combination with PD-1 antibody increase the efficacy of sorafenib in hepatocellular carcinoma model. Transl. Oncol. 11:250–258, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Pitt, J. M., M. Charrier, S. Viaud, F. André, B. Besse, N. Chaput, et al. Dendritic cell–derived exosomes as immunotherapies in the fight against cancer. J. Immunol. 193:1006–1011, 2014. [DOI] [PubMed] [Google Scholar]
- 54.Marki, A., and K. Ley. The expanding family of neutrophil-derived extracellular vesicles. Immunol. Rev. 312:52–60, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Marchetti, B., L. Leggio, F. L’Episcopo, S. Vivarelli, C. Tirolo, G. Paternò, et al. Glia-derived extracellular vesicles in Parkinson’s disease. J. Clin. Med. 9:1941, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Chen, Y.-W., Y.-H. Lin, C.-C. Ho, C.-Y. Chen, M.-H. Yu, A.K.-X. Lee, et al. High-yield extracellular vesicle production from HEK293T cells encapsulated in 3D auxetic scaffolds with cyclic mechanical stimulation for effective drug carrier systems. Biofabrication. 16:45035, 2024. [DOI] [PubMed] [Google Scholar]
- 57.Serrano-Pertierra, E., M. Oliveira-Rodríguez, M. Rivas, P. Oliva, J. Villafani, A. Navarro, et al. Characterization of plasma-derived extracellular vesicles isolated by different methods: a comparison study. Bioengineering. 6:8, 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.García-Flores, M., C. M. Sánchez-López, M. Ramírez-Calvo, A. Fernández-Serra, A. Marcilla, and J. A. López-Guerrero. Isolation and characterization of urine microvesicles from prostate cancer patients: different approaches, different visions. BMC Urol. 21:1–12, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Reseco, L., A. Molina-Crespo, M. Atienza, E. Gonzalez, J. M. Falcon-Perez, and J. L. Cantero. Characterization of extracellular vesicles from human saliva: effects of age and isolation techniques. Cells. 13:95, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Quan, S., X. Nan, K. Wang, L. Jiang, J. Yao, and B. Xiong. Characterization of sheep milk extracellular vesicle-miRNA by sequencing and comparison with cow milk. Animals. 10:331, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Mohammadi, A. H., Z. Ghazvinian, F. Bagheri, M. Harada, and K. Baghaei. Modification of extracellular vesicle surfaces: an approach for targeted drug delivery. BioDrugs. 37:353–374, 2023. [DOI] [PubMed] [Google Scholar]
- 62.Yi, G., J. Son, J. Yoo, C. Park, and H. Koo. Application of click chemistry in nanoparticle modification and its targeted delivery. Biomater. Res. 22:13, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Jia, G., Y. Han, Y. An, Y. Ding, C. He, X. Wang, et al. NRP-1 targeted and cargo-loaded exosomes facilitate simultaneous imaging and therapy of glioma in vitro and in vivo. Biomaterials. 178:302–316, 2018. [DOI] [PubMed] [Google Scholar]
- 64.Zhuo, Z., J. Wang, Y. Luo, R. Zeng, C. Zhang, W. Zhou, et al. Targeted extracellular vesicle delivery systems employing superparamagnetic iron oxide nanoparticles. Acta Biomater. 134:13–31, 2021. [DOI] [PubMed] [Google Scholar]
- 65.Ciferri, M. C., S. Bruno, N. Rosenwasser, C. Gorgun, D. Reverberi, M. C. Gagliani, et al. Standardized method to Functionalize plasma-extracellular vesicles via copper-free click Chemistry for targeted drug delivery strategies. ACS Appl. Bio Mater. 7:827–838, 2024. [DOI] [PubMed] [Google Scholar]
- 66.Li, L., F. Wang, D. Zhu, S. Hu, K. Cheng, and Z. Li. Engineering exosomes and exosome-like nanovesicles for improving tissue targeting and retention. Fundam. Res. 5:851, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.García-Trujillo, M., J. Lavado-García, A. Boix-Besora, F. Gòdia, and L. Cervera. Gag HIV-1 virus-like particles and extracellular vesicles functionalization with spike epitopes of SARS-CoV-2 using a copper-free click chemistry approach. Bioconjug. Chem. 36:486–499, 2025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Tang, F., T. Dong, C. Zhou, L. Deng, H. B. Liu, W. Wang, et al. Genetically engineered human induced pluripotent stem cells for the production of brain-targeting extracellular vesicles. Stem Cell Res. Ther. 15:345, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Zhan, Q., K. Yi, H. Qi, S. Li, X. Li, Q. Wang, et al. Engineering blood exosomes for tumor-targeting efficient gene/chemo combination therapy. Theranostics. 10:7889, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Kang, J.-Y., D. Mun, M. Park, G. Yoo, H. Kim, N. Yun, et al. Injured cardiac tissue-targeted delivery of TGFβ1 siRNA by FAP aptamer-functionalized extracellular vesicles promotes cardiac repair. Int. J. Nanomed. 20:2575–2592, 2025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Chowdhury, R., S. Eslami, C. V. Pham, A. Rai, J. Lin, Y. Hou, et al. Role of aptamer technology in extracellular vesicle biology and therapeutic applications. Nanoscale. 16:11457–11479, 2024. [DOI] [PubMed] [Google Scholar]
- 72.Alvarez-Erviti, L., Y. Seow, H. Yin, C. Betts, S. Lakhal, and M. J. A. Wood. Delivery of siRNA to the mouse brain by systemic injection of targeted exosomes. Nat. Biotechnol. 29:341–345, 2011. [DOI] [PubMed] [Google Scholar]
- 73.Wang, M., S. Altinoglu, Y. S. Takeda, and Q. Xu. Integrating protein engineering and bioorthogonal click conjugation for extracellular vesicle modulation and intracellular delivery. PLoS One.10:e0141860, 2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Ruan, S., Z. Greenberg, X. Pan, P. Zhuang, N. Erwin, and M. He. Extracellular vesicles as an advanced delivery biomaterial for precision cancer immunotherapy. Adv. Healthc. Mater.11:e2100650, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Kim, H., N. Yun, D. Mun, J.-Y. Kang, S.-H. Lee, H. Park, et al. Cardiac-specific delivery by cardiac tissue-targeting peptide-expressing exosomes. Biochem. Biophys. Res. Commun. 499:803–808, 2018. [DOI] [PubMed] [Google Scholar]
- 76.Tian, Y., S. Li, J. Song, T. Ji, M. Zhu, G. J. Anderson, et al. A doxorubicin delivery platform using engineered natural membrane vesicle exosomes for targeted tumor therapy. Biomaterials. 35:2383–2390, 2014. [DOI] [PubMed] [Google Scholar]
- 77.Surapaneni, M. S., S. K. Das, and N. G. Das. Designing paclitaxel drug delivery systems aimed at improved patient outcomes: current status and challenges. Int. Sch. Res. Not.2012:623139, 2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Chen, T., Y. Wei, S. Yin, W. Li, Y. Wang, C. Pi, et al. Construction and evaluation of BAL-PTX Co-loaded lipid nanosystem for promoting the anti-lung cancer efficacy of paclitaxel and reducing the toxicity of chemotherapeutic drugs. Int. J. Nanomed. 19:7775–7797, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Li, X., X. Lu, H. Xu, Z. Zhu, H. Yin, X. Qian, et al. Paclitaxel/tetrandrine coloaded nanoparticles effectively promote the apoptosis of gastric cancer cells based on “oxidation therapy.” Mol. Pharm. 9:222–229, 2012. [DOI] [PubMed] [Google Scholar]
- 80.Xue, T., X. Wang, X. Pan, M. Liu, and F. Xu. PTX promotes breast cancer migration and invasion by recruiting ATF4 to upregulate FGF19. Cell Signal.122:111309, 2024. [DOI] [PubMed] [Google Scholar]
- 81.Kang, J.-H., Y.-J. Cho, J.-Y. Hwang, S.-Y. Park, J.-J. Choi, E. S. Paik, et al. Temperature-controlled pNIB/PTX micelles for improved paclitaxel delivery in ovarian cancer treatment. ACS Biomater. Sci. Eng. 11:2167–2179, 2025. [DOI] [PubMed] [Google Scholar]
- 82.Gornstein, E., and T. L. Schwarz. The paradox of paclitaxel neurotoxicity: Mechanisms and unanswered questions. Neuropharmacology. 76:175–183, 2014. [DOI] [PubMed] [Google Scholar]
- 83.Gur, C., F. M. Kandemir, C. Caglayan, and E. Satıcı. Chemopreventive effects of hesperidin against paclitaxel-induced hepatotoxicity and nephrotoxicity via amendment of Nrf2/HO-1 and caspase-3/Bax/Bcl-2 signaling pathways. Chem. Biol. Interact.365:110073, 2022. [DOI] [PubMed] [Google Scholar]
- 84.Vera, G., K. Nurgali, and R. Abalo. Chemotherapy-induced neuropathy affecting the gastrointestinal tract. Neurogastroenterol. Motil.9:e14976, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Arbuck, S. G., H. Strauss, E. Rowinsky, M. Christian, M. Suffness, J. Adams, et al. A reassessment of cardiac toxicity associated with Taxol. J. Natl. Cancer Inst. Monogr. 15:117–130, 1993. [PubMed] [Google Scholar]
- 86.Vassileva, V., J. Grant, R. De Souza, C. Allen, and M. Piquette-Miller. Novel biocompatible intraperitoneal drug delivery system increases tolerability and therapeutic efficacy of paclitaxel in a human ovarian cancer xenograft model. Cancer Chemother. Pharmacol. 60:907–914, 2007. [DOI] [PubMed] [Google Scholar]
- 87.Ejeta, B. M., M. K. Das, and S. Das. Recent advances in paclitaxel drug delivery: challenges, innovations, and future directions. J. Angiother. 8:1–13, 2024. [Google Scholar]
- 88.Hollis, C. P., H. L. Weiss, M. Leggas, B. M. Evers, R. A. Gemeinhart, and T. Li. Biodistribution and bioimaging studies of hybrid paclitaxel nanocrystals: lessons learned of the EPR effect and image-guided drug delivery. J. Control Release. 172:12–21, 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Li, R., H. Zhang, Q. Li, G. Yuan, Y. Zhou, R. Yin, et al. Efficacy and safety of paclitaxel liposome versus paclitaxel in combination with carboplatin in the first-line chemotherapy for ovarian cancer: a multicenter, open-label, non-inferiority, randomized controlled trial. J. Natl. Cancer Cent. 4:135–141, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Wu, X., X. Chen, X. Wang, H. He, J. Chen, and W. Wu. Paclitaxel-lipid prodrug liposomes for improved drug delivery and breast carcinoma therapy. Chin. Chem. Lett.35:108756, 2024. [Google Scholar]
- 91.Park, J., B. Sun, and Y. Yeo. Albumin-coated nanocrystals for carrier-free delivery of paclitaxel. J. Control Release. 263:90–101, 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Alalawy, A. I. Key genes and molecular mechanisms related to paclitaxel resistance. Cancer Cell Int. 24:244, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Zhao, Z., H. Wijerathne, A. K. Godwin, and S. A. Soper. Isolation and analysis methods of extracellular vesicles (EVs). Extracell. Vesicles Circ. Nucleic Acids. 2:80–103, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Buschmann, D., B. Kirchner, S. Hermann, M. Märte, C. Wurmser, F. Brandes, et al. Evaluation of serum extracellular vesicle isolation methods for profiling miRNAs by next-generation sequencing. J. Extracell. Vesicles. 7:1481321, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Livshits, M. A., E. Khomyakova, E. G. Evtushenko, V. N. Lazarev, N. A. Kulemin, S. E. Semina, et al. Isolation of exosomes by differential centrifugation: theoretical analysis of a commonly used protocol. Sci. Rep. 5:17319, 2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Van Deun, J., P. Mestdagh, R. Sormunen, V. Cocquyt, K. Vermaelen, J. Vandesompele, et al. The impact of disparate isolation methods for extracellular vesicles on downstream RNA profiling. J. Extracell. Vesicles. 3:24858, 2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Rikkert, L. G., M. Engelaer, C. M. Hau, L. W. M. M. Terstappen, R. Nieuwland, and F. A. W. Coumans. Rate zonal centrifugation can partially separate platelets from platelet-derived vesicles. Res. Pract. Thromb. Haemost. 4:1053–1059, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Konoshenko, M. Y., E. A. Lekchnov, A. V. Vlassov, and P. P. Laktionov. Isolation of extracellular vesicles: general methodologies and latest trends. Biomed. Res. Int. 2018:8545347, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Shih, C.-L., K.-Y. Chong, S.-C. Hsu, H.-J. Chien, C.-T. Ma, J.W.-C. Chang, et al. Development of a magnetic bead-based method for the collection of circulating extracellular vesicles. N Biotechnol. 33:116–122, 2016. [DOI] [PubMed] [Google Scholar]
- 100.Zhang, J., L. T. H. Nguyen, R. Hickey, N. Walters, X. Wang, K. J. Kwak, et al. Immunomagnetic sequential ultrafiltration (iSUF) platform for enrichment and purification of extracellular vesicles from biofluids. Sci. Rep. 11:8034, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Samsonov, R., T. Shtam, V. Burdakov, A. Glotov, E. Tsyrlina, L. Berstein, et al. Lectin-induced agglutination method of urinary exosomes isolation followed by mi-RNA analysis: application for prostate cancer diagnostic. Prostate. 76:68–79, 2016. [DOI] [PubMed] [Google Scholar]
- 102.Yu, J., D. Huang, H. Liu, and H. Cai. Optimizing conditions of polyethylene glycol precipitation for exosomes isolation from MSCs culture media for regenerative treatment. Biotechnol. J.19:e202400374, 2024. [DOI] [PubMed] [Google Scholar]
- 103.Zhao, Z., Y. Yang, Y. Zeng, and M. He. A microfluidic ExoSearch chip for multiplexed exosome detection towards blood-based ovarian cancer diagnosis. Lab. Chip. 16:489–496, 2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Taller, D., K. Richards, Z. Slouka, S. Senapati, R. Hill, D. B. Go, et al. On-chip surface acoustic wave lysis and ion-exchange nanomembrane detection of exosomal RNA for pancreatic cancer study and diagnosis. Lab. Chip. 15:1656–1666, 2015. [DOI] [PubMed] [Google Scholar]
- 105.Mehryab, F., S. Rabbani, S. Shahhosseini, F. Shekari, Y. Fatahi, H. Baharvand, et al. Exosomes as a next-generation drug delivery system: An update on drug loading approaches, characterization, and clinical application challenges. Acta Biomater. 113:42–62, 2020. [DOI] [PubMed] [Google Scholar]
- 106.Saari, H., E. Lázaro-Ibáñez, T. Viitala, E. Vuorimaa-Laukkanen, P. Siljander, and M. Yliperttula. Microvesicle-and exosome-mediated drug delivery enhances the cytotoxicity of Paclitaxel in autologous prostate cancer cells. J. Control Release. 220:727–737, 2015. [DOI] [PubMed] [Google Scholar]
- 107.Al-Jipouri, A., S. H. Almurisi, K. Al-Japairai, L. M. Bakar, and A. A. Doolaanea. Liposomes or extracellular vesicles: a comprehensive comparison of both lipid bilayer vesicles for pulmonary drug delivery. Polymers (Basel). 15:318, 2023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Zhang, L., C. Fan, W. Hao, Y. Zhuang, X. Liu, Y. Zhao, et al. NSCs migration promoted and drug delivered exosomes-collagen scaffold via a bio-specific peptide for one-step spinal cord injury repair. Adv. Healthc Mater. 10:2001896, 2021. [DOI] [PubMed] [Google Scholar]
- 109.Wang, P., H. Wang, Q. Huang, C. Peng, L. Yao, H. Chen, et al. Exosomes from M1-polarized macrophages enhance paclitaxel antitumor activity by activating macrophages-mediated inflammation. Theranostics. 9:1714, 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Al Faruque, H., E.-S. Choi, J.-H. Kim, and E. Kim. Enhanced effect of autologous EVs delivering paclitaxel in pancreatic cancer. J. Control Release. 347:330–346, 2022. [DOI] [PubMed] [Google Scholar]
- 111.Haney, M. J., Y. Zhao, Y. S. Jin, S. M. Li, J. R. Bago, N. L. Klyachko, et al. Macrophage-derived extracellular vesicles as drug delivery systems for triple negative breast cancer (TNBC) therapy. J. Neuroimmune Pharmacol. 15:487–500, 2020. [DOI] [PubMed] [Google Scholar]
- 112.Fuhrmann, G., A. Serio, M. Mazo, R. Nair, and M. M. Stevens. Active loading into extracellular vesicles significantly improves the cellular uptake and photodynamic effect of porphyrins. J. Control Release. 205:35–44, 2015. [DOI] [PubMed] [Google Scholar]
- 113.Ozcelik, A., G. M. Demirbolat, O. Erdogan, B. Kozan, F. Akkoyun, E. Cevik, et al. Lab-on-a-chip system for small extracellular vesicle isolation and drug loading for small extracellular vesicle-mediated drug delivery for treatment of cancer patients. Emergent Mater. 8(2):1153, 2024. [Google Scholar]
- 114.Kanchanapally, R., and K. Brown. Cancer cell-derived exosomes as the delivery vehicle of paclitaxel to inhibit cancer cell growth. J. Cancer Discov. 1:49–58, 2022. [Google Scholar]
- 115.Bi, Y., J. Chen, Y. Li, B. Song, Q. Li, T. Zhou, et al. The chemo-immunotherapeutic roles of tumor-derived extracellular vesicle-based paclitaxel delivery system in hepatocarcinoma. Mol. Pharm. 21:5126–5137, 2024. [DOI] [PubMed] [Google Scholar]
- 116.Talatapeh, S. P., J. Rezaie, and V. Nejati. Extracellular vesicle-based delivery of paclitaxel to lung cancer cells: uptake, anticancer effects, autophagy and mitophagy pathways. Arch Med. Res.56:103194, 2025. [DOI] [PubMed] [Google Scholar]
- 117.Eiro, N., M. Fraile, S. Escudero-Cernuda, J. Sendon-Lago, L. O. Gonzalez, M. L. Fernandez-Sánchez, et al. Synergistic effect of human uterine cervical mesenchymal stem cell secretome and paclitaxel on triple negative breast cancer. Stem Cell Res. Ther. 15:121, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Wang, S., J. Li, S. Xu, N. Wang, B. Pan, B. Yang, et al. Baohuoside I chemosensitises breast cancer to paclitaxel by suppressing extracellular vesicle/CXCL1 signal released from apoptotic cells. J. Extracell. Vesicles.13:e12493, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Melzer, C., V. Rehn, Y. Yang, H. Bähre, J. von der Ohe, and R. Hass. Taxol-loaded MSC-derived exosomes provide a therapeutic vehicle to target metastatic breast cancer and other carcinoma cells. Cancers (Basel). 11:798, 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Salarpour, S., H. Forootanfar, M. Pournamdari, M. Ahmadi-Zeidabadi, M. Esmaeeli, and A. Pardakhty. Paclitaxel incorporated exosomes derived from glioblastoma cells: comparative study of two loading techniques. DARU J. Pharm. Sci. 27:533–539, 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Sun, H., K. Bhandari, S. Burrola, J. Wu, and W.-Q. Ding. Pancreatic ductal cell-derived extracellular vesicles are effective drug carriers to enhance paclitaxel’s efficacy in pancreatic cancer cells through Clathrin-mediated endocytosis. Int. J. Mol. Sci. 23:4773, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Pascucci, L., V. Coccè, A. Bonomi, D. Ami, P. Ceccarelli, E. Ciusani, et al. Paclitaxel is incorporated by mesenchymal stromal cells and released in exosomes that inhibit in vitro tumor growth: A new approach for drug delivery. J. Control Release. 192:262–270, 2014. [DOI] [PubMed] [Google Scholar]
- 123.Bi, Y., J. Chen, Q. Li, Y. Li, L. Zhang, L. Zhida, et al. Tumor-derived extracellular vesicle drug delivery system for chemo-photothermal-immune combination cancer treatment. IScience.27:108833, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Kim, M. S., M. J. Haney, Y. Zhao, D. Yuan, I. Deygen, N. L. Klyachko, et al. Engineering macrophage-derived exosomes for targeted paclitaxel delivery to pulmonary metastases: in vitro and in vivo evaluations. Nanomed. Nanotechnol. Biol. Med. 14:195–204, 2018. [DOI] [PubMed] [Google Scholar]
- 125.Kumar, D. N., A. Chaudhuri, D. Dehari, A. Shekher, S. C. Gupta, S. Majumdar, et al. Combination therapy comprising paclitaxel and 5-fluorouracil by using folic acid functionalized bovine milk exosomes improves the therapeutic efficacy against breast cancer. Life. 12:1143, 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Zhu, Q., X. Ling, Y. Yang, J. Zhang, Q. Li, X. Niu, et al. Embryonic stem cells-derived exosomes endowed with targeting properties as chemotherapeutics delivery vehicles for glioblastoma therapy. Adv. Sci. 6:1801899, 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Zhang, W., L. Ngo, S.C.-H. Tsao, D. Liu, and Y. Wang. Engineered cancer-derived small extracellular vesicle-liposome hybrid delivery system for targeted treatment of breast cancer. ACS Appl. Mater. Interfaces. 15:16420–16433, 2023. [DOI] [PubMed] [Google Scholar]
- 128.Ducrot, C., S. Loiseau, C. Wong, E. Madec, J. Volatron, and M. Piffoux. Hybrid extracellular vesicles for drug delivery. Cancer Lett.558:216107, 2023. [DOI] [PubMed] [Google Scholar]
- 129.Liu J, Tang Y, Li Y, Hu X, Huang S, Xu W, et al. Paclitaxel-loaded hybrid exosome for targeted chemotherapy of triple-negative breast cancer 2022.
- 130.Wang, X., D. Li, G. Li, J. Chen, Y. Yang, L. Bian, et al. Enhanced therapeutic potential of hybrid exosomes loaded with paclitaxel for cancer therapy. Int. J. Mol. Sci. 25:3645, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Zhou, Y., W. Zhou, X. Chen, Q. Wang, C. Li, Q. Chen, et al. Bone marrow mesenchymal stem cells-derived exosomes for penetrating and targeted chemotherapy of pancreatic cancer. Acta Pharm. Sin. B. 10:1563–1575, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Garofalo, M., A. Villa, N. Rizzi, L. Kuryk, B. Rinner, V. Cerullo, et al. Extracellular vesicles enhance the targeted delivery of immunogenic oncolytic adenovirus and paclitaxel in immunocompetent mice. J. Control Release. 294:165–175, 2019. [DOI] [PubMed] [Google Scholar]
- 133.Agrawal, A. K., F. Aqil, J. Jeyabalan, W. A. Spencer, J. Beck, B. W. Gachuki, et al. Milk-derived exosomes for oral delivery of paclitaxel. Nanomed. Nanotechnol. Biol. Med. 13:1627–1636, 2017. [DOI] [PubMed] [Google Scholar]
- 134.Betker, J. L., B. M. Angle, M. W. Graner, and T. J. Anchordoquy. The potential of exosomes from cow milk for oral delivery. J. Pharm. Sci. 108:1496–1505, 2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Aqil, F., R. Munagala, J. Jeyabalan, A. K. Agrawal, and R. Gupta. Exosomes for the enhanced tissue bioavailability and efficacy of curcumin. AAPS J. 19:1691–1702, 2017. [DOI] [PubMed] [Google Scholar]
- 136.Tan, T. T., R. C. Lai, J. Padmanabhan, W. K. Sim, A. B. H. Choo, and S. K. Lim. Assessment of tumorigenic potential in mesenchymal-stem/stromal-cell-derived small extracellular vesicles (MSC-sEV). Pharmaceuticals. 14:345, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Wang, J., W. Li, L. Zhang, L. Ban, P. Chen, W. Du, et al. Chemically edited exosomes with dual ligand purified by microfluidic device for active targeted drug delivery to tumor cells. ACS Appl. Mater. Interfaces. 9:27441–27452, 2017. [DOI] [PubMed] [Google Scholar]
- 138.Zhai, Z., P. Xu, J. Yao, R. Li, L. Gong, Y. Yin, et al. Erythrocyte-mimicking paclitaxel nanoparticles for improving biodistributions of hydrophobic drugs to enhance antitumor efficacy. Drug Deliv. 27:387–399, 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Yang, T., P. Martin, B. Fogarty, A. Brown, K. Schurman, R. Phipps, et al. Exosome delivered anticancer drugs across the blood-brain barrier for brain cancer therapy in Danio rerio. Pharm. Res. 32:2003–2014, 2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Liu, X., W. Dai, W. Xu, and Y. Chen. Anti-tumor effect and drug delivery of biomimetic exosomes nanoplatform loading with paclitaxel (PTX) for treating lung adenocarcinoma. J. Biomed. Nanotechnol. 18:1871–1876, 2022. [Google Scholar]
- 141.Marcianti, A., E. Spampinato, S. Nava, G. M. Stella, P. Perego, S. Pogliani, et al. Extracellular vesicles isolated from adipose tissue-derived mesenchymal stromal cells as carriers for Paclitaxel delivery. Stem Cell Res. Ther. 16:1–17, 2025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Nordin, J. Z., Y. Lee, P. Vader, I. Mäger, H. J. Johansson, W. Heusermann, et al. Ultrafiltration with size-exclusion liquid chromatography for high yield isolation of extracellular vesicles preserving intact biophysical and functional properties. Nanomed. Nanotechnol. Biol. Med. 11:879–883, 2015. [DOI] [PubMed] [Google Scholar]
- 143.Chen, Y., N. Douanne, T. Wu, I. Kaur, T. Tsering, A. Erzingatzian, et al. Leveraging nature’s nanocarriers: translating insights from extracellular vesicles to biomimetic synthetic vesicles for biomedical applications. Sci. Adv. 11:eads5249, 2025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Pirisinu, M., T. C. Pham, D. X. Zhang, T. N. Hong, L. T. Nguyen, and M. T. Le. Extracellular vesicles as natural therapeutic agents and innate drug delivery systems for cancer treatment: recent advances, current obstacles, and challenges for clinical translation. Semin. Cancer Biol. 80:340–355, 2022. [DOI] [PubMed] [Google Scholar]
- 145.Jing, X., H. Hu, Y. Sun, B. Yu, H. Cong, and Y. Shen. The intracellular and extracellular microenvironment of tumor site: the trigger of stimuli-responsive drug delivery systems. Small Methods. 6:2101437, 2022. [DOI] [PubMed] [Google Scholar]
- 146.Zheng, X.-C., W. Ren, S. Zhang, T. Zhong, X.-C. Duan, Y.-F. Yin, et al. The theranostic efficiency of tumor-specific, pH-responsive, peptide-modified, liposome-containing paclitaxel and superparamagnetic iron oxide nanoparticles. Int. J. Nanomed. 2018. 10.2147/IJN.S157082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Salarpour, S., A. Pardakhty, M. Ahmadi-Zeidabadi, M. Pournamdari, H. Forootanfar, M. Esmaeeli, et al. Exosome-loaded Paclitaxel: Preparation and toxicity evaluation on two glioblastoma cell lines. Nanomed. Res. J. 4:239–246, 2019. [Google Scholar]
- 148.Ramesh, D., S. M. Bakkannavar, V. R. Bhat, K. S. R. Pai, and K. Sharan. Comparative study on drug encapsulation and release kinetics in extracellular vesicles loaded with snake venom L-amino acid oxidase. BMC Pharmacol. Toxicol. 26:98, 2025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149.Kim, B., H. Park, H. Liu, S. Kim, Y. Lee, and Y.-C. Kim. Hybrid nanoparticles of extracellular vesicles and gemcitabine prodrug-loaded liposomes with enhanced targeting ability for effective PDAC treatment. ACS Appl. Bio. Mater. 7:6025–6033, 2024. [DOI] [PubMed] [Google Scholar]
- 150.Sulthana, S., D. Shrestha, and S. Aryal. Maximizing liposome tumor delivery by hybridizing with tumor-derived extracellular vesicles. Nanoscale. 16:16652–16663, 2024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Fisher, W. S., J. Douglas, S. Roshan, R. Perez, S. Wei, L. Roberts, et al. Acidic conditions promote clustering of cancer cell derived extracellular vesicles and enhance their fusion with synthetic liposomes. Langmuir. 41:4533–4544, 2025. [DOI] [PubMed] [Google Scholar]
- 152.Yang, Y., Z. Zhao, C. Xie, and Y. Zhao. Dual-targeting liposome modified by glutamic hexapeptide and folic acid for bone metastatic breast cancer. Chem. Phys. Lipids.228:104882, 2020. [DOI] [PubMed] [Google Scholar]
- 153.Tang, H., J. Chen, L. Wang, Q. Li, Y. Yang, Z. Lv, et al. Co-delivery of epirubicin and paclitaxel using an estrone-targeted PEGylated liposomal nanoparticle for breast cancer. Int J. Pharm.573:118806, 2020. [DOI] [PubMed] [Google Scholar]
- 154.Sun, X., Y. Chen, H. Zhao, G. Qiao, M. Liu, C. Zhang, et al. Dual-modified cationic liposomes loaded with paclitaxel and survivin siRNA for targeted imaging and therapy of cancer stem cells in brain glioma. Drug Deliv. 25:1718–1727, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155.Jakubechova, J., U. Altanerova, and C. Altaner. Tumor-targeted suicide gene-directed enzyme prodrug therapy mediated by extracellular vesicles. Neoplasma. 70:333, 2023. [DOI] [PubMed] [Google Scholar]
- 156.Song, Y., H. Kong, S. Oh, and S. B. Kim. Plant-derived extracellular vesicles as nanocarriers for combination therapy enhancing paclitaxel-based regimens in breast cancer. BMB Rep. 58:53–63, 2025. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
No new data were generated or analyzed in this study.




