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Updated: Jan 20, 2026

Preparation and In Vitro Characterization of Magnetized miR-modified Endothelial Cells
Published on: May 2, 2017
Circulating miR-30b and miR-30c predict erlotinib response in EGFR-mutated non-small cell lung cancer patients
Johanne Andersen Hojbjerg1, Eva Boysen Fynboe Ebert2, Michelle Simone Clement1
1Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark.
Objectives:
MiR-30b, miR-30c, miR-221 and miR-222 are known to induce gefitinib resistance in lung cancer cell lines with activation of mutations in the epidermal growth factor receptor (EGFR). However, the role of these four microRNAs in tyrosine kinase inhibitor (TKI)-resistance in non-small cell lung cancer (NSCLC) patients is unknown. Thus, the aim of this study was to investigate the predictive value of miR-30b, miR-30c, miR-221 and miR-222 in plasma from EGFR-mutated lung cancer patients receiving erlotinib.
Materials And Methods:
The cohort consisted of 29 EGFR-mutated lung cancer patients receiving erlotinib. Plasma levels of miR-30b, miR-30c, miR-221 and miR-222 were analyzed by qPCR from blood samples collected before treatment start. Plasma concentration of each microRNA was correlated to clinical outcome.
Results:
Plasma concentrations of miR-30b and miR-30c could be determined in all 29 patients. Low plasma concentrations of miR-30b and miR-30c showed significant correlation with superior progression-free survival (PFS) (miR-30b: HR = 0.303 [0.123-0.747], p < 0.05; miR-30c: HR = 0.264 [0.103-0.674], p < 0.05). Low plasma concentrations of miR-30c were also significantly correlated with superior overall survival (OS) (HR = 0.30 [0.094-0.954], p < 0.041).
Conclusion:
High plasma concentrations of miR-30b and miR-30c predicted shorter PFS and OS. This implies that miR-30b and miR-30c could have clinical potential as biomarkers in EGFR-mutated lung cancer patients.
Insights
Low plasma levels of miR-30b and miR-30c predict better outcomes for lung cancer patients with EGFR mutations treated with erlotinib. These microRNAs may serve as predictive biomarkers for non-small cell lung cancer (NSCLC) treatment response.
Area of Science:
- Oncology
- Molecular Biology
- Biomarker Discovery
Background:
- Epidermal growth factor receptor (EGFR) mutations are key drivers in non-small cell lung cancer (NSCLC).
- Tyrosine kinase inhibitors (TKIs) like erlotinib target EGFR, but resistance develops.
- Specific microRNAs (miRNAs), including miR-30b, miR-30c, miR-221, and miR-222, are implicated in gefitinib resistance.
Purpose of the Study:
- To investigate the predictive value of plasma miR-30b, miR-30c, miR-221, and miR-222.
- To assess these miRNAs as potential biomarkers in EGFR-mutated NSCLC patients receiving erlotinib.
Main Methods:
- Quantitative PCR (qPCR) analysis of plasma miRNA levels.
- Correlation of pre-treatment plasma miRNA concentrations with clinical outcomes (PFS and OS).
- Study cohort comprised 29 EGFR-mutated NSCLC patients on erlotinib therapy.
Main Results:
- Low plasma concentrations of miR-30b and miR-30c significantly correlated with superior progression-free survival (PFS).
- Low plasma miR-30c also significantly correlated with superior overall survival (OS).
- High plasma levels of miR-30b and miR-30c predicted shorter PFS and OS.
Conclusions:
- Plasma miR-30b and miR-30c levels show predictive potential for erlotinib treatment response in EGFR-mutated NSCLC.
- These miRNAs may serve as valuable biomarkers for patient stratification and treatment guidance.
- Further validation in larger cohorts is warranted to confirm clinical utility.
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