ReviewJournal of the National Cancer Center2026
Migrasomes program tissue microenvironment: from physiology to oncology, future perspectives in clinical advances.
Review in Journal of the National Cancer Center, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Cancer remains a critical global health challenge, necessitating an in-depth investigation into spatiotemporal dimensions. Migrasomes, a class of migration-dependent organelles that sequester spatiotemporal and biochemical cues, offer a previously overlooked pathway for microenvironmental programming during tumor evolution. At the cellular level, migrasomes mediate extensive intercellular communication and material transfer, while facilitating cellular quality control via the extrusion of damaged organelles. Within tissue microenvironments, these organelles exert context-dependent, bidirectional effects, modulating homeostasis in processes such as wound healing, senescence, inflammation, and microbial infection, while being exploited in cancer to drive proliferation, angiogenesis, immunomodulation, and metastasis. This review elucidates the intricate role of migrasomes within tumor microenvironments and other tissue settings, discusses their potential involvement in the transition from tissue homeostasis to malignancy, and evaluates their potential implications for clinical therapeutic strategies, as well as diagnostic and prognostic biomarkers.
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