دورية أكاديمية
Extracellular vesicle miRNAs for predicting the efficacy of late-line treatment with anlotinib in patients with lung adenocarcinoma
| العنوان: | Extracellular vesicle miRNAs for predicting the efficacy of late-line treatment with anlotinib in patients with lung adenocarcinoma |
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| المؤلفون: | Aimi Huang, Fuchuang Zhang, Jiyang Zhang, Xiaoya Xu, Zhikuan Li, Sheng Chen, Baoning Nian, Dadong Zhang, Baohui Han, Aiqin Gu, Weimin Wang |
| المصدر: | Cancer Nanotechnology, Vol 15, Iss 1, Pp 1-13 (2024) |
| بيانات النشر: | BMC, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
| مصطلحات موضوعية: | sEVs, miRNA, Anlotinib, NSCLC, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
| الوصف: | Abstract Background Anlotinib is a targeted therapy indicated for some malignancies, including advanced non-small cell lung cancer (NSCLC). However, noninvasive biomarkers for identifying patients who will benefit from this disease remain lacking. Methods Here, we investigated the potential of small extracellular vesicle (sEV) microRNAs (miRNAs) as predictive biomarkers for anlotinib efficacy. A total of 20 advanced NSCLC patients were enrolled. Patients were classified as having stable disease (SD) or progressive disease (PD) after the initial efficacy assessment. Results Seven differentially expressed miRNAs (DEMs) were identified. Among them, miR-941 was significantly upregulated in the PD group, while the others were downregulated. Furthermore, these six downregulated miRNAs (miR-30a-3p, miR-150-5p, miR-122-5p, miR-10b-5p, miR-92a-3p, and miR-150-3p) were more pronounced in nonsmoking patients. Conclusions It was found that sEV miRNAs have the potential to predict the benefit of anlotinib. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1868-6958 1868-6966 |
| Relation: | https://doaj.org/toc/1868-6958; https://doaj.org/toc/1868-6966 |
| DOI: | 10.1186/s12645-024-00273-3 |
| URL الوصول: | https://doaj.org/article/c33f84d83b864a669b908d652c95d6bd |
| رقم الأكسشن: | edsdoj.33f84d83b864a669b908d652c95d6bd |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 18686958 18686966 |
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| DOI: | 10.1186/s12645-024-00273-3 |