Exosome-Based Theranostic for Gastrointestinal Cancer: Advances in Biomarker Discovery and Therapeutic Engineering.

IF 10.7 2区材料科学 Q1 CHEMISTRY, PHYSICAL

Small Methods Pub Date : 2025-02-25 DOI:10.1002/smtd.202402058

Mohit J Mehta, Dongjun Shin, Hyun Sung Park, Jun Su An, Seong Il Lim, Hyun Jin Kim, Seungpyo Hong, Jiyoon Bu

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引用次数: 0

Abstract

Exosomes have emerged as versatile biomolecules in gastrointestinal (GI) cancer management, leveraging their inherent cargo-carrying capabilities to overcome the limitations of current diagnostic and therapeutic strategies. This review provides a comprehensive exploration of exosome-based technologies, highlighting their dual roles as diagnostic biomarkers and therapeutic vehicles. On the diagnostic front, this review investigates specific exosomal biomarkers-including miRNAs, lncRNAs, circRNAs, and proteins-emphasizing their roles in tumor biology and their clinical utility, such as diagnostic accuracy, early detection potential, and prognostic significance. Therapeutically, this study examines the sources, purification methodologies, and engineering strategies that enhance the therapeutic efficacy of exosomes in modulating immune responses, overcoming drug resistance, and suppressing metastasis. By providing a comprehensive overview of the field, this review serves as a guideline for researchers and clinicians entering this field, offering novel insights into the potential of exosome-based theranostic systems and delineating future directions to overcome existing challenges.

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来源期刊

Small Methods Materials Science-General Materials Science

CiteScore

17.40

自引率

1.60%

发文量

347

期刊介绍： Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.