Please wait ...
0% Complete
فارسی
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-Ghazani
1
Zahra Etemadi
2
Reza Pashaei
3
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
A Multi-Stage Ranking Pipeline for High-Precision Medical Information Retrieval
Asa Shabanian - Alireza Asl Nemati - Morteza Mohammadi Zanjireh
Fixed-Frequency Impedimetric Detection of Sickle Cells Using Interdigitated Electrodes
َArezoo Savlani - Mobina Ghanbari - Mohammadjavad Bouloorchi Tabalvandi - Majid Badieirostami
بررسی تاثیر شبکه عصبی مصنوعی بر روی دقت مدل های مربوط به برآوردهای حسابداری
جمال برزگر خانقاه - سیدمحسن صالحی وزیری
آیندهپژوهی زنجیره تأمین بینالمللی در عصر هوش مصنوعی: چشماندازی دادهمحور به تأمین و خرید جهانی
اکرم معصومی دهقی - الهام گرک یراق - محمد علی جان نثاریان لادانی - روح اله جزینی درچه
Short-term gains vs. long-term Success: Reward strategy design for reinforcement learning in football
Mohammad Pashaei - Amirhossein Tayebi - Hadi Amiri - Ali Fahim
روش نرمافزاری برای پیشبینی انتشار آلاینده اکسید نیتروژن با استفاده از معماری شبکه عصبی کانولوشنی عمیق
فرناز حسینی
ارائه مدل رتبه بندی مشتریان اعتباری بانکی با استفاده از داده کاوی و منطق فازی :مطالعه موردی بانک خصوصی در ایران
محمد صالح کتابی
Comparative Evaluation of Feature Selection Techniques for Six-Month Mortality Prediction in Heart Failure Patients
Parsa Haghighatgoo - Somayeh Afrasiabi
بررسی عوامل رویکرد مؤثرمالی در بازاریابی محتوای دیجیتال بر روابط شرکتها و نامهای, برند تجاری
حسین بوذری
Using Advanced Ensemble Machine Learning Models to Predict Traffic in SDN-Based Networks: A Comparative Study of Bagging, Boosting, and Stacking Approaches
Raha Pakzad - Sasan GharaPasha - Nasrin Firouz - Ramin Habibzadehsharif
more
Samin Hamayesh - Version 44.7.0