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Home / سی و دومین کنفرانس ملی و دهمین کنفرانس بین المللی مهندسی زیست پزشکی ایران

A brief review of the applications of stem and mesenchymal cell-derived exosomes for targeted therapy and cancer drug resistance

Authors :

Laleh Etemad-Ghazani¹ Zahra Etemadi² Reza Pashaei³

1- دانشگاه آزاد اسلامی تبریز 2- دانشگاه آزاد اسلامی تبریز 3- دانشگاه آزاد علوم و پزشکی تبریز

Keywords :

Mesenchymal stem cell،Exosome،Therapy resistance،Cancer،Extracellular vesicles،Drug resistance،Targeted therapy

Abstract :

Mesenchymal stem cell (MSC)-derived exosomes, as small extracellular vesicles carrying diverse bioactive molecules, play a pivotal role in delivering anticancer drugs and repairing radiation-induced tissue damage. Due to their intrinsic ability to target tumor cells, cross physiological barriers such as the blood-brain barrier, and exhibit reduced toxicity compared to free drugs, these exosomes have emerged as promising novel drug delivery vehicles. Numerous preclinical studies have demonstrated that MSC-derived exosomes can selectively deliver chemotherapeutic agents such as doxorubicin, paclitaxel, and bioactive compounds like TRAIL and honokiol to cancer cells, thereby enhancing therapeutic efficacy while minimizing systemic toxicity. This capability is particularly valuable in combating drug-resistant cancers such as pancreatic and colorectal cancers. Beyond their antitumor applications, MSC-derived exosomes significantly contribute to accelerating the repair of radiation-induced tissue injuries. By transferring specific microRNAs and cytokines, these vesicles promote cell proliferation, inhibit apoptosis, suppress inflammation and oxidative stress, and mitigate fibrosis progression. Experimental evidence in animal models has shown that MSC-derived exosomes effectively reduce bone loss, facilitate skin repair, and attenuate radiation-induced pulmonary fibrosis. Despite their considerable clinical potential, several challenges hinder the widespread clinical translation of MSC-derived exosomes. These include the lack of standardized protocols for classification, isolation, and storage; limitations in large-scale production; and the need for improved targeting and drug-loading methods. Accordingly, ongoing research focuses on surface engineering of exosomes to enhance targeting specificity, reduce off-target effects, and improve cargo stability. Ultimately, to accelerate the clinical translation of this technology for cancer therapy and tissue regeneration, comprehensive studies including in vivo experiments, long-term safety assessments, and large-scale clinical trials are essential. The development of standardized protocols, scale-up production techniques, and precise targeting strategies remain critical steps toward realizing the full therapeutic potential of MSC-derived exosomes.

Papers List

List of archived papers

بررسی تأثیر اطلاعات محیطی شرکت و ریسک عدم بازپرداخت بدهی‌ها بر ریسک سقوط قیمت سهام با توجه به نقش تعدیلگر بحران کم‌آبی

زهره حاجیها - شهرام کامکار

Patch-Based detection of proximal caries on bitewing radiographs

Sana Esmaeili - Parnian Alizadeh oskoee - Tahmineh Razi - Asiyeh Dadghar - Kasra Rahimipour - Ata Jodeiri

کاربرد رویکرد بازیابی اطلاعات در تحلیل داده های بیماران دیابتی

زهرا محمدی فرد چینی بلاغ

Multi-Objective Optimization of the Impeller of a mini Blood Pump: Balancing Outlet Pressure and Scalar Shear Stress

Reza Sahebi-Kuzeh kanan - Hanieh Niroomand-oscuii - Habib Badri Ghavifekr - Farzan Ghalichi

جایگاه فنآوریهای مبتنی بر هوش مصنوعی در برنامه ریزی آموزشی با تاکید بر اهداف برنامه ششم توسعه

سونیا پیشکار - ثریا غلامحسین پور انوری

Recovery of Hand Motor Function in Children with ‎Hemiparetic Cerebral Palsy using an Interactive ‎Computer Game Combined with Mechanoreceptor ‎Stimulation: A Pilot Study

Mobina Ramezani - Shahed Salehzehi - Parisa Hosseini - Zahra Alizadeh Sarborj - Ghazal Mohammadzadeh - Hamid Reza Kobravi - Narges Hashemi - Mehran Beiraghi Toosi - Javad Akhondian

Programmable Flow Control in Rotating Microfludic Systems using elastic patch valves

Zohreh Mohammadi Zadeh - Amin Dehghan - Esmail Pishbin - Mahdi Navidbakhsh

Early Alzheimer’s Detection with MRI-Based Deep Convolutional Neural Networks and Transfer Learning

Tabasom Musavi - M. J. Tarokh

Simulation and evaluation of the impact of magnetic source geometry on mechanical stress and magnetic flux distribution in cancerous tumors

Alireza Heydari - Mahdi Halabian - Borhan Beigzadeh - Majid Siavashi

Finite Element Analysis of Spine ProDisc-L Using Titanium, CFR-PEEK and CoCr Endplates with UHMWPE-GUR1020 75kGy RM Core

Amirali Kashani - Siavash Kazemirad

Samin Hamayesh - Version 42.4.6