Submitted:
11 October 2025
Posted:
13 October 2025
Read the latest preprint version here
Abstract
Keywords:
1. Introduction
2. Exosomal microRNA: Characteristics and Biogenesis
3. Exosomal microRNAs in Cancer Biology
- Tumor Progression and Metastasis: Exosomal miRNAs are involved in regulating tumor growth, angiogenesis, and metastasis. For instance, miR-21 is widely recognized as an oncogenic miRNA that is upregulated in many cancers, including breast, colorectal, and lung cancer. MiR-21 promotes tumor growth by targeting tumor suppressor genes like PTEN and PDCD4, and it also plays a role in promoting cancer cell invasion and metastasis [17]. Similarly, miR-10b has been shown to facilitate metastasis by regulating the RhoGTPases and promoting the epithelial-mesenchymal transition (EMT) process, which is crucial for cancer cell dissemination [18].
- Immune Modulation: Exosomes can also influence the immune response to tumors. Tumor-derived exosomal miRNAs can modulate immune cell functions to create an immunosuppressive microenvironment. For example, exosomal miR-155 has been implicated in suppressing dendritic cell activation and promoting regulatory T cell differentiation, thereby inhibiting anti-tumor immune responses [19]. Additionally, exosomes from cancer cells can carry miRNAs that suppress natural killer (NK) cell function, thus enhancing tumor evasion from immune surveillance [20].
- Therapeutic Resistance: Resistance to chemotherapy and targeted therapy is a significant barrier to successful cancer treatment. Exosomal miRNAs have been shown to contribute to therapeutic resistance by modulating drug response pathways. For example, miR-214 in exosomes can promote resistance to chemotherapy by targeting genes involved in apoptosis, such as PTEN and caspase-3 [21]. Similarly, exosomal miRNAs can mediate resistance to targeted therapies, including those aimed at EGFR or HER2, by altering downstream signaling pathways [22].
4. Exosomal microRNAs as Cancer Biomarkers
- Diagnostic Potential: Exosomal miRNAs have shown diagnostic potential in various cancers, including breast, prostate, lung, and pancreatic cancers. In breast cancer, exosomal miR-21 has been proposed as a diagnostic biomarker due to its elevated levels in the plasma of cancer patients [24]. Similarly, miR-155 has been identified as a potential biomarker for early detection of non-small cell lung cancer (NSCLC) [25]. Liquid biopsies based on exosomal miRNA profiling could provide a less invasive and more frequent method for cancer detection, enabling early intervention and improved patient outcomes.
- Prognostic Value: Exosomal miRNAs have been shown to correlate with cancer stage, progression, and metastasis. For example, high levels of miR-210 in exosomes are associated with poor prognosis in colorectal cancer [26]. Additionally, exosomal miRNA signatures may provide insights into cancer recurrence and the likelihood of metastasis, helping to stratify patients into risk groups and guide therapeutic decision-making [27].
- Therapeutic Monitoring: One of the most promising applications of exosomal miRNAs is in monitoring treatment responses. Exosomal miRNAs can serve as real-time biomarkers for assessing how a patient is responding to therapy. For instance, changes in the levels of specific exosomal miRNAs have been used to monitor chemotherapy efficacy and identify emerging resistance [28]. Furthermore, exosomal miRNAs can reflect the molecular changes occurring within the tumor during treatment, offering a window into the dynamics of cancer evolution and therapy-induced alterations [29].
5. Technologies for Exosomal miRNA Profiling
- Exosome Isolation: Techniques such as ultracentrifugation, precipitation methods, and size-exclusion chromatography are commonly used to isolate exosomes. Ultracentrifugation is the most widely used method; however, it is time-consuming and prone to contamination with non-exosomal particles [30]. Recently, microfluidic platforms have been developed to isolate exosomes with high efficiency and reproducibility, enabling faster and more scalable processes [31]. These newer techniques are promising for clinical applications.
- MiRNA Profiling: Once exosomes are isolated, profiling their miRNA content is essential for biomarker discovery. High-throughput sequencing, RT-qPCR, and microarray-based techniques are commonly used to identify and quantify miRNAs. Sequencing offers the most comprehensive profile, but it is also expensive and data-intensive [32]. RT-qPCR, while more cost-effective, requires prior knowledge of the specific miRNAs of interest and may miss novel biomarkers [33]. The development of highly sensitive and accurate profiling technologies is essential for advancing exosomal miRNAs as reliable biomarkers.
6. Challenges and Future Directions
- Standardization and Reproducibility: One of the major challenges is the lack of standardization in exosome isolation and miRNA profiling protocols. Variability in isolation methods, differences in sample handling, and data processing inconsistencies can lead to discrepancies in results across studies [34]. Standardized methods and quality control measures are essential for ensuring reproducibility and accuracy.
- Biological Variability: Another challenge is the biological variability of exosomal miRNAs. MiRNA expression levels can vary based on tumor type, stage, and even between patients with the same type of cancer [35]. Large-scale clinical studies are needed to validate the potential of exosomal miRNAs in different patient cohorts and cancer types.
- Clinical Validation: Despite the promising preclinical data, clinical validation remains the most significant barrier to the widespread use of exosomal miRNAs in the clinic. Large multicenter trials are necessary to demonstrate the diagnostic, prognostic, and therapeutic utility of exosomal miRNAs across diverse cancer populations [36]. These studies will provide the robust evidence needed to incorporate exosomal miRNA profiling into clinical practice.
Author Contributions
Acknowledgments
References
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| Cancer Type | Exosomal miRNA | Function | References |
|---|---|---|---|
| Breast Cancer | miR-21 | Oncogenic, promotes tumor growth and metastasis | [24] |
| Lung Cancer | miR-155 | Involved in immune modulation, promotes immune evasion | [25] |
| Colorectal Cancer | miR-210 | Poor prognosis marker, regulates hypoxia and angiogenesis | [26] |
| Pancreatic Cancer | miR-34a | Tumor suppressive, regulates apoptosis and cell cycle | [27] |
| Prostate Cancer | miR-141 | Inhibits invasion and metastasis, regulates EMT | [28] |
| Glioma | miR-128 | Regulates tumor growth, differentiation, and migration | [29] |
| Exosomal miRNA | Target Genes/Pathways | Cancer Process Affected | References |
|---|---|---|---|
| miR-21 | PTEN, PDCD4, Bcl-2 | Tumor proliferation, apoptosis evasion, metastasis | [17,18] |
| miR-10b | RhoGTPases, E-cadherin | Epithelial-mesenchymal transition (EMT), invasion, metastasis | [18] |
| miR-210 | HIF1α, VEGF | Hypoxia response, angiogenesis, cell survival | [26] |
| miR-155 | SOCS1, FOXP3 | Immune modulation, T cell differentiation, immune evasion | [19,25] |
| miR-128 | p53, PTEN | Apoptosis, tumor progression, differentiation | [29] |
| Clinical Application | Exosomal miRNA(s) | Cancer Type(s) | Clinical Relevance | References |
|---|---|---|---|---|
| Early Diagnosis | miR-21, miR-155 | Breast, Lung, Pancreatic | Elevated in patient plasma, potential early-stage detection | [24,25] |
| Prognostic Indicator | miR-210, miR-10b | Colorectal, Glioma | Associated with advanced disease stage and poor prognosis | [26,29] |
| Therapeutic Monitoring | miR-214, miR-34a | Colorectal, Breast | Changes in miRNA levels correlate with chemotherapy response | [28,35] |
| Metastasis Prediction | miR-9, miR-126 | Breast, Prostate | Involved in metastasis and tumor cell migration | [28,29] |
| Therapeutic Resistance | miR-21, miR-155 | Lung, Breast | Linked to resistance to chemotherapy and targeted therapies | [21,22] |
| Method | Description | Advantages | Limitations | References |
|---|---|---|---|---|
| Ultracentrifugation | Centrifugation at high speeds to isolate exosomes. | Widely used, cost-effective, well-established. | Time-consuming, low yield, prone to contamination. | [30] |
| Precipitation | Use of chemical reagents to aggregate exosomes. | Simple, less time-consuming, high yield. | May co-isolate other vesicles, less pure. | [31] |
| Size-Exclusion Chromatography | Exosomes are separated based on size using a gel filtration column. | High purity, gentle method with minimal perturbation. | Expensive equipment, requires optimization for each sample type. | [32] |
| Microfluidic Devices | Microchips that isolate exosomes based on size or charge. | High throughput, automated, minimally invasive. | Expensive, limited commercial availability. | [33] |
| Immunocapture | Exosomes are isolated using antibody-coated beads. | Specific for certain exosome types, high purity. | Requires specific antibodies, may miss heterogeneity. | [34] |
| Technology | Advantages | Limitations | Application in Cancer | References |
|---|---|---|---|---|
| RT-qPCR | Cost-effective, high sensitivity for specific miRNAs | Limited to known miRNAs, may miss novel biomarkers | Detection of specific exosomal miRNAs such as miR-21 in plasma | [33] |
| Next-Generation Sequencing (NGS) | Comprehensive, can profile entire miRNAome | High cost, data complexity | Profiling multiple exosomal miRNAs for cancer diagnosis and prognosis | [32] |
| Microarray | High throughput, suitable for large-scale studies | May miss low-abundance miRNAs | Screening for panels of exosomal miRNAs for cancer biomarkers | [33] |
| Lateral Flow Assays | Point-of-care, rapid, low cost | Lower sensitivity compared to PCR or NGS | Development of portable, on-site cancer diagnostic tools | [34] |
| Challenge | Description | Potential Solutions | References |
|---|---|---|---|
| Standardization of Isolation Methods | Variability in exosome isolation protocols leads to inconsistent results. | Develop standardized protocols, quality control measures. | [34] |
| Variability in miRNA Expression | Biological differences in tumor types, stages, and patients lead to variability in miRNA profiles. | Large-scale multi-center clinical studies to account for biological heterogeneity. | [35] |
| Technical Sensitivity | Low sensitivity of some profiling methods for detecting rare or low-abundance miRNAs. | Use of high-throughput sequencing or advanced PCR techniques. | [33] |
| Clinical Validation | Limited clinical validation of exosomal miRNAs for widespread use in diagnostics. | Conduct large, multi-center clinical trials for comprehensive validation. | [36] |
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