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Elevated exosome-derived miRNAs predict osimertinib resistance in non-small cell lung cancer.
Li, Xinying; Chen, Cen; Wang, Zimu; Liu, Jiaxin; Sun, Wei; Shen, Kaikai; Lv, Yanling; Zhu, Suhua; Zhan, Ping; Lv, Tangfeng; Song, Yong.
Afiliação
  • Li X; Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing University School of Medicine, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
  • Chen C; Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, Nanjing University School of Medicine, Nanjing, China.
  • Wang Z; Nanjing University Institute of Respiratory Medicine, Nanjing, China.
  • Liu J; Department of Respiratory and Critical Care Medicine, Jinling Hospital, The first School of Clinical Medicine, Southern Medical University (Guangzhou), Nanjing, China.
  • Sun W; Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing University School of Medicine, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
  • Shen K; Nanjing University Institute of Respiratory Medicine, Nanjing, China.
  • Lv Y; Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing University School of Medicine, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
  • Zhu S; Nanjing University Institute of Respiratory Medicine, Nanjing, China.
  • Zhan P; Department of Respiratory and Critical Care Medicine, Jinling Hospital, Medical School of Southeast University, Nanjing, China.
  • Lv T; Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing University School of Medicine, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
  • Song Y; Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing University School of Medicine, 305 East Zhongshan Road, Nanjing, 210002, Jiangsu, China.
Cancer Cell Int ; 21(1): 428, 2021 Aug 14.
Article em En | MEDLINE | ID: mdl-34391435
ABSTRACT

BACKGROUND:

Non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutations will inevitably develop drug resistance after being treated with the third-generation EGFR-tyrosine kinase inhibitor (TKI), osimertinib. Recently, the drug resistance information transmitted by exosomal miRNAs has attracted much attention. However, the mechanism of exosome-derived miRNAs in osimertinib resistance remains unexplored.

METHODS:

We extracted and sequenced exosomes from the supernatant of the osimertinib-resistant cell line, H1975-OR, and the sensitive cell line, H1975. The results were compared with plasma exosome sequencing before and after the appearance of drug resistance in three NSCLC clinical patients treated with oral osimertinib. Exosome-derived miRNAs that had significantly increased expression levels after osimertinib resistance were screened for expanded validation in other 64 NSCLC patients.

RESULTS:

Cluster analysis of the target genes revealed that exosomal miRNAs participate in osimertinib resistance mechanisms through the activation of bypass pathways (RAS-MAPK pathway abnormality and PI3K pathway activation). Exosome-derived miR-184 and miR-3913-5p expression levels increased significantly after the onset of osimertinib resistance. Exosomal miR-3913-5p was associated with TNM stage, platelet count, tumor marker carcinoembryonic antigen, and distant metastases. In patients with EGFR exon 21 L858R mutation, the increased expression levels of miR-184 and miR-3913-5p derived from serum exosomes indicated osimertinib resistance. Similarly, for T790M-positive patients, the level of exosome-derived miR-3913-5p can be used as a predictive marker for osimertinib resistance.

CONCLUSIONS:

The expression levels of miR-184 and miR-3913-5p derived from exosomes in the peripheral blood of NSCLC patients could be used as biomarkers to indicate osimertinib resistance.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article