دورية أكاديمية

Drug-resistant profiles of extracellular vesicles predict therapeutic response in TNBC patients receiving neoadjuvant chemotherapy

التفاصيل البيبلوغرافية
العنوان: Drug-resistant profiles of extracellular vesicles predict therapeutic response in TNBC patients receiving neoadjuvant chemotherapy
المؤلفون: Min Woo Kim, Hyojung Lee, Suji Lee, Sol Moon, Young Kim, Joon Ye Kim, Seung Il Kim, Jee Ye Kim
المصدر: BMC Cancer, Vol 24, Iss 1, Pp 1-12 (2024)
بيانات النشر: BMC, 2024.
سنة النشر: 2024
المجموعة: LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
مصطلحات موضوعية: TNBC, Neoadjuvant chemotherapy, Liquid biopsy, Predictive biomarker, Extracellular vesicles, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
الوصف: Abstract Background Predicting tumor responses to neoadjuvant chemotherapy (NAC) is critical for evaluating prognosis and designing treatment strategies for patients with breast cancer; however, there are no reliable biomarkers that can effectively assess tumor responses. Therefore, we aimed to evaluate the clinical feasibility of using extracellular vesicles (EVs) to predict tumor response after NAC. Methods Drug-resistant triple-negative breast cancer (TNBC) cell lines were successfully established, which developed specific morphologies and rapidly growing features. To detect resistance to chemotherapeutic drugs, EVs were isolated from cultured cells and plasma samples collected post-NAC from 36 patients with breast cancer. Results Among the differentially expressed gene profiles between parental and drug-resistant cell lines, drug efflux transporters such as MDR1, MRP1, and BCRP were highly expressed in resistant cell lines. Drug efflux transporters have been identified not only in cell lines but also in EVs released from parental cells using immunoaffinity-based EV isolation. The expression of drug resistance markers in EVs was relatively high in patients with residual disease compared to those with a pathological complete response. Conclusions The optimal combination of drug-resistant EV markers was significantly efficient in predicting resistance to NAC with 81.82% sensitivity and 92.86% specificity.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1471-2407
Relation: https://doaj.org/toc/1471-2407
DOI: 10.1186/s12885-024-11822-9
URL الوصول: https://doaj.org/article/a4ddda311ca1427fba1c543b84c441aa
رقم الأكسشن: edsdoj.4ddda311ca1427fba1c543b84c441aa
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14712407
DOI:10.1186/s12885-024-11822-9