Extracellular vesicle miRNAs for predicting the efficacy of late-line treatment with anlotinib in patients with lung adenocarcinoma

Autor: Aimi Huang, Fuchuang Zhang, Jiyang Zhang, Xiaoya Xu, Zhikuan Li, Sheng Chen, Baoning Nian, Dadong Zhang, Baohui Han, Aiqin Gu, Weimin Wang
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Cancer Nanotechnology, Vol 15, Iss 1, Pp 1-13 (2024)
Druh dokumentu: article
ISSN: 1868-6958
1868-6966
DOI: 10.1186/s12645-024-00273-3
Popis: 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.
Databáze: Directory of Open Access Journals
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