Journal
THORACIC CANCER
Volume 11, Issue 1, Pages 29-40Publisher
WILEY
DOI: 10.1111/1759-7714.13216
Keywords
Biomarker; epidermal growth factor receptor; long noncoding RNA; non-small cell lung cancer; tyrosine kinase inhibitor
Categories
Funding
- Chinese National Instrumentation Program [2011YQ170067]
- Beijing Municipal Science & Technology Commission, PR China [Z181100001718074]
Ask authors/readers for more resources
BackgroundEpidermal growth factor receptor (EGFR) gene mutations predict tumor response to EGFR tyrosine kinase inhibitors (EGFR-TKIs) in non-small cell lung cancer (NSCLC). However, even patients with EGFR-sensitive mutations in NSCLC have limited efficacy with EGFR-TKI. Studies have shown that long noncoding RNA (lncRNA) is related to diagnosis and prognosis with NSCLC. This study aimed to explore the correlation between lncRNA in NSCLC patients with EGFR mutation status and EGFR-TKI efficacy. MethodsThe amplification-refractory mutation system method was used to test the EGFR mutation status in tumor tissues and pleural effusions of NSCLC patients. Three EGFR-mutant patients and three EGFR wild-type patients were selected. Differential lncRNA was performed on the pleural effusions of the two selected groups of patients using Clariom D Human chip technology. Five lncRNAs significantly associated with EGFR mutation status were screened by FC value and GO analysis, and then evaluated by real-time quantitative polymerase chain reaction in NSCLC patients' pleural effusions. Three were further analyzed in NSCLC patients' plasma. ResultsThere were 61 significant differences in lncRNA between EGFR mutation-positive and wild-type patients. Among them, SCARNA7, MALAT1, NONHSAT017369, NONHSAT051892, and FTH1P2 were significantly associated with EGFR mutation status. SCARNA7, MALAT1, and NONHSAT017369 showed consistent results with plasma in pleural effusions compared to EGFR wild-type, all upregulated in the EGFR mutation group. ConclusionThis study shows that lncRNAs can be used not only as potential biomarkers for predicting the mutation status of EGFR and the efficacy of EGFR-TKI, but also for monitoring the efficacy of EGFR-TKI.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available