Aims: Early non-small cell lung cancer (NSCLC) diagnosis is generally poor due to the lack of convenient and noninvasive tools. MicroRNAs (miRNAs) and the long non-coding RNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) are non-coding RNAs, that have attracted increased attention for their use as NSCLC tumor diagnostic markers.
Main methods: We constructed a serum miRNA and MALAT1 non-coding RNA panel and tested its diagnostic performance as an NSCLC biomarker. We tested the expression of 11 candidate miRNAs and MALAT1 in a training set (36 NSCLCs vs. 36 controls) by quantitative reverse transcription polymerase chain reactions. The serum non-coding RNA panel's diagnostic efficiency was tested and validated in a second validation sample set (120 NSCLCs and 71 controls) by receiver operating characteristic (ROC) curve analyses.
Key findings: In the training set, the expression of the four non-coding RNAs (miR-1254, miR-485-5p, miR-574-5p, and MALAT1) was obviously different between the NSCLC patients and healthy controls. Risk score analysis revealed that the four non-coding RNA panel can distinguish NSCLC patient samples from controls. The ROC curve results revealed areas under the curves (AUCs) of 0.861 (95% confidence interval (CI) 0.771-0.952) and 0.844 (95% CI0.778-0.910) for the training set and validation set, respectively.
Significance: The four non-coding RNA risk scores were also associated with NSCLC progression, and its diagnostic efficiency was relatively high for stages I/II/III. In conclusion, these data indicate that the four non-coding RNA panel can serve as a convenient tool for early NSCLC diagnosis.
Keywords: Diagnostic efficiency; Non-coding RNA; Non-small cell lung cancer; Risk score; Serum.
Copyright © 2016 Elsevier Inc. All rights reserved.