Background: Because of limited stability and sensitivity, circulating miRNAs as noninvasive biomarkers have not so far been used for early diagnosis and prognosis of non-small cell lung cancer (NSCLC) in clinic. Therefore, it is imperative to find more reliable biomarker(s).
Methods: We performed one of most sensitive qRT-PCR assays, S-Poly(T) Plus, to select differently expressed miRNAs from genome-wide miRNA profiling. miRNA candidates were validated through a three-phase selection and two validation processes with 437 NSCLC cases and 415 controls.
Results: A unique set of 7 and 9 miRNAs differed significantly in adenocarcinoma (ADC) and squamous cell carcinoma (SCC) samples compared with those in controls, of which, there were 5 universal biomarkers for NSCLC (ADC or SCC). Ten of 11 miRNAs could discriminate early stage (stage I) of NSCLC from healthy individuals. Risk score was obtained from the validation set-1 and was tested using the ROC curves with a high area under ROC curve of 0.89 in ADC and 0.96 in SCC. Ultimately, potential biomarkers and the risk score were verified by the validation set-2 with a sensitivity of 94% and a specificity of 91.6% in ADC, and a sensitivity of 98.5% and a specificity of 51.5% in SCC, respectively.
Conclusions: Taken together, 7 miRNAs and 9 miRNAs may provide noninvasive biomarkers for diagnosis and prognosis in ADC and SCC, respectively.
Impact: On the basis of our sensitive and accurate method, we hope that these candidate miRNAs may have strong impact on the early lung cancer diagnosis.
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http://dx.doi.org/10.1158/1055-9965.EPI-18-0723 | DOI Listing |
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