Cancer Cell Int. 2026 Jul 20.
Bantayehu Addis Tegegne,
Habtamu Belew,
Zigale Hibstu Teffera,
Mekuriaw Belayneh,
Desalegn Abebaw,
Misganaw Fikrie,
Mohammed Jemal,
Temesgen Baylie,
Fasil Tadesse,
Samuel Agegnew Wondm,
Tirsit Ketsela Zeleke,
Wubetu Yihunie Belay.
Exosomes play a key role in cancer, functioning both as drivers of drug resistance and as tools for therapy. Tumor-derived exosomes facilitate intercellular communication through selective transfer of bioactive cargo, including proteins (e.g., P-gp, PD-L1), nucleic acids (e.g., miR-21, lncRNA H19), lipids, and metabolites. These cargos remodel the tumor microenvironment, activate oncogenic pathways such as PI3K/AKT and MAPK, and promote drug resistance, immune evasion, and metabolic reprogramming. This work presents a conceptually integrated translational perspective, introducing the 'exosome paradox' to unify the dual roles of exosomes in therapy resistance and therapeutic application. The review incorporates cancer-specific insights, highlighting how resistance mechanisms vary across pancreatic, breast, lung, colorectal, and ovarian cancers, underscoring the need for context-dependent strategies. Mechanistically, we integrate emerging advances in exosome heterogeneity, selective cargo loading (including SUMOylation-dependent pathways), and the metabolic-epigenetic interface, particularly the lactate-lactylation axis. We also explore the growing role of artificial intelligence in biomarker discovery, cargo profiling, and rational design of engineered exosomes. Therapeutically, two complementary strategies are emphasized: inhibition of pathogenic exosome biogenesis, secretion, and uptake, and development of engineered exosomes as delivery vehicles for chemotherapeutics, RNA-based therapies, and CRISPR/Cas9 systems. Despite promising preclinical advances, clinical translation remains limited by challenges in targeting specificity, pharmacokinetics, scalable manufacturing, and regulatory standardization. This review provides a unified framework combining suppression of pathogenic exosome signaling with strategic engineering of therapeutic exosomes, offering new directions for overcoming drug resistance and advancing precision oncology.
Keywords: Artificial intelligence in oncology; Cancer drug resistance; Exosome paradox; Exosome-based therapeutics; Precision oncology; Tumor-derived exosomes