1. Circulating Plasma miRNAs as Potential Biomarkers of Non-Small Cell Lung Cancer Obtained by High-Throughput Real-Time PCR Profiling
- Author
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Wu Yike, Qing Li, Gang Hui, Li Li, Kang Kang, Fu-Rong Li, Deming Gou, Liwu Fu, Yanqin Niu, and Mingyang Su
- Subjects
0301 basic medicine ,Oncology ,medicine.medical_specialty ,Lung Neoplasms ,Epidemiology ,Adenocarcinoma ,Real-Time Polymerase Chain Reaction ,Sensitivity and Specificity ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Carcinoma, Non-Small-Cell Lung ,microRNA ,Biomarkers, Tumor ,Medicine ,Humans ,Lung cancer ,Framingham Risk Score ,Receiver operating characteristic ,business.industry ,Gene Expression Profiling ,medicine.disease ,Gene Expression Regulation, Neoplastic ,MicroRNAs ,030104 developmental biology ,Real-time polymerase chain reaction ,030220 oncology & carcinogenesis ,Potential biomarkers ,Carcinoma, Squamous Cell ,Biomarker (medicine) ,business - Abstract
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.
- Published
- 2018