ReviewBiomolecules & biomedicine2025
Exosomes in cancer metabolism and drug resistance: A review.
Review in Biomolecules & biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Dual role of exosomes in pancreatic cancer: Underlying mechanisms and research advances (Review).Oncology letters · 2026Review
- Lactate signaling and immune suppression in tumors: mechanisms and therapeutic implications.Cellular oncology (Dordrecht, Netherlands) · 2026Review
- Exosomes in Ovarian Cancer: Promoters, Biomarkers, and Therapeutic Targets.International journal of nanomedicine · 2026Review
- Research on exosomes in cancer multidrug resistance and clinical translation.Extracellular vesicles and circulating nucleic acids · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The transfer of molecular cargo in exosomes plays a crucial role in cancer progression, influencing metabolic processes, angiogenesis, immune interactions, and invasive capabilities. This review synthesizes current evidence on how exosomes modulate tumor metabolism and drive drug resistance, and outlines therapeutic opportunities. We searched PubMed, Scopus, Web of Science, and Google Scholar for English-language studies using terms related to exosomes/extracellular vesicles, glycolysis, oxidative phosphorylation (OXPHOS), lipid metabolism, and drug resistance/chemoresistance, and integrated the literature qualitatively. Evidence indicates that exosomes reprogram tumor and stromal metabolism by delivering enzymes and non-coding RNAs that boost glycolysis and dampen OXPHOS, activate cancer-associated fibroblasts and extracellular matrix (ECM) remodeling, and modulate ferroptosis. They stimulate angiogenesis (e.g., via vascular endothelial growth factor (VEGF)/Wnt pathways) and promote immune escape through programmed death-ligand 1 (PD-L1), transforming growth factor beta (TGF-β), and macrophage reprogramming. Exosomal integrins and proteases contribute to epithelial-mesenchymal transition (EMT), organotropism, and pre-metastatic niche formation. Critically, exosomes propagate chemoresistance by exporting drugs and spreading determinants-including P-gp/BCRP/MRP-1, anti-apoptotic proteins, and regulatory RNAs-to previously sensitive cells; adipose-derived vesicles and lipid cargos further reinforce metabolic plasticity and therapy resistance. Given their stability, nanoscale dimensions, and ability to cross the blood-brain barrier, exosomes are promising vectors for targeted delivery; engineered vesicles can enhance chemotherapy responsiveness and counteract resistance, particularly alongside immunotherapy. In summary, interventions that disrupt exosome biogenesis, cargo loading, or uptake-paired with engineered exosomes for precision delivery-could mitigate drug resistance, metastasis, and immune evasion and advance more effective cancer treatment.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.