Diagnostic Value of Plasma MicroRNAs for Lung Cancer Using Support Vector Machine Model

Abstract

Aim: Small single-stranded non-coding RNAs (miRNAs) play an important role in carcinogenesis through degrading target mRNAs. However, the diagnostic value of miRNAs was not explored in lung cancers. In this study, a support-vector-machine (SVM) model for diagnosis of lung cancer was established based on plasma miRNAs biomarkers, clinical symptoms and epidemiology material. Methods: The expressions of plasma miRNA were examined with SYBR Green-based quantitative real-time PCR. Results: We identified that the expressions of 10 plasma miRNAs (miR-21, miR-20a, miR-210, miR-145, miR-126, miR-223, miR-197, miR-30a, miR-30d, miR-25), smoking status, fever, cough, chest pain or tightness, bloody phlegm, haemoptysis, were significantly different between lung cancer and control groups (P<0.05). The accuracies of the combined SVM, miRNAs SVM, symptom SVM, combined Fisher, miRNAs Fisher and symptom Fisher were 96.34%, 80.49%, 84.15%, 84.15%, 75.61%, and 80.49%, respectively; AUC of these six model were 0.976, 0.841, 0.838, 0.865, 0.750, and 0.801, respectively. The accuracy and AUC of combined SVM were higher than the other 5 models (P<0.05). Conclusions: Our findings indicate that SVM model based on plasma miRNAs biomarkers may serve as a novel, accurate, noninvasive method for auxiliary diagnosis of lung cancer.

MiRNAs and LncRNAs: Dual Roles in TGF-β Signaling-Regulated Metastasis in Lung Cancer

“…MiRNAs and lncRNAs can be detected in biological fluids through a biopsy of liquids, such as whole blood (lncRNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) [141] and miRNA-182-5p [142]), serum (lncRNA linc00342 [143], MEG3 [144], miR-96 [145] and miR-30a-5p [146]), plasma (lncRNA linc00152 [147], MALAT1 [148], miR-145 [149], miR-30b [150], miR-25 [151] and miR-425-3p [152]), sputum (lncRNA HOTAIR, H19 [153], miR-21 and miR-210 [154]), and pleural effusion (MALAT1 [155] and miR-200 family [156]) in lung cancer. Furthermore, miRNAs can also be found in bronchoalveolar lavage fluid (miR-126 and miR-Let-7a [157]).…”

Serum miR-339-3p as a potential diagnostic marker for non-small cell lung cancer

“…These results are consistent with those of other reports using a similar approach. For example, Wang et al 32 reported an AUC of 0.865 (95% CI: 0.821–0.902) for a model with 10 miRNAs and 6 symptoms compared with an AUC of 0.750 (95% CI: 0.697–0.798) for miRNAs alone. Wozniak et al 31 observed a higher AUC of 0.94 (95% CI: 0.90–0.97) for a model involving 24 miRNAs, sex, age, and smoking status compared with an AUC of 0.92 (95% CI: 0.87–0.95) for miRNAs alone.…”

MicroRNA‑126: A new and promising player in lung cancer (Review)

“…It is also worth noting that further logistic regression model analysis revealed that the combination of miR-126, miR-182, miR-183 and miR-210 with carcinoembryonic antigen substantially increased the diagnostic value, with an AUC of 96.5%; sensitivity, 81.2%; specificity, 100.0%; and accuracy, 90.8% ( 59 ). The aforementioned results indicated that circulating miR-126, particularly in combination with multiple other miRNAs, may serve as a promising biomarker for the diagnosis of lung cancer ( 56 , 59 , 60 ).…”