ArticleComputational and structural biotechnology journal2025
Characterizing the pan-cancer role of exosomal miRNAs in metastasis across cancers.
Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Exosomal miR-4644 Targets SPRY3 to Promote Proliferation and Invasion of Pancreatic Cancer.Cancer medicine · 2026Article
- Exosomal MicroRNAs as Drivers of Desmoplasia and Treatment Resistance in Breast Cancer: Mechanisms, Biomarker Potential, and Therapeutic Opportunities.Biomolecules · 2026Review
- Tumor exosomes impact functional hallmarks of cancer.Cancer metastasis reviews · 2026Review
- MicroRNAs in Breast Cancer: Diagnostic and Prognostic Potential, Challenges, and Clinical Reliability.Biomedicines · 2026Review
- MicroRNA Signatures of Prostate Cancer Spheroids in Microfluidic Culture Under Hormone-Deprivation Conditions.Bioengineering (Basel, Switzerland) · 2026Article
- The silent spread: exploring diverse metastatic pathways in high-grade serous ovarian cancer.Frontiers in medicine · 2025Review
- Functional tumor-derived exosomes in NSCLC progression and clinical implications.Frontiers in pharmacology · 2025Review
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5 authors.
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Abstract
Exosomal microRNAs (exomiRs) play a critical role in intercellular communication, especially in cancer, where they regulate key cellular processes like proliferation, angiogenesis, and metastasis, highlighting their significance as potential diagnostic and therapeutic targets. Here, we aimed to characterize the role of exomiRs, derived from seven cancer types (four cell lines and three tumors), in influencing the pre-metastatic niche (PMN). In each cancer type we extracted high confidence exomiRs (LogFC >= 2 in exosomes relative to control), their experimentally validated targets, and the enriched pathways among those targets. We then selected the top100 high-confidence targets based on their frequency of appearance in the enriched pathways. We observed significantly higher GC content in exomiRs relative to genomic background. Gene Ontology analysis revealed both general cancer processes, such as wound healing and epithelial cell proliferation, as well as cancer-specific processes, such as "angiogenesis" in the kidney and "ossification" in the lung. ExomiR targets were enriched for cancer-specific tumor suppressor genes and downregulated in PMN formed in lungs compared to normal. Motif analysis showed high inter-cancer similarity among motifs enriched in exomiRs. Our analysis recapitulated exomiRs associated with M2 macrophage differentiation and chemoresistance, such as miR-21 and miR-222-3p, regulating signaling pathways like PTEN/PI3/Akt, NF-kB, etc. Additionally, Cox regression analysis in TCGA indicated that exomiR targets are significantly associated with better overall survival of patients. Lastly, support vector machine model using exomiR targets gene expression classified responders and non-responders to therapy with an AUROC ranging from 0.72 to 0.96, higher than previously reported gene signatures.
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