Screening microRNAs as potential prognostic biomarkers for lung adenocarcinoma

Abstract

Objective To screen and identify microRNAs (miRNAs) associated with the prognosis of lung adenocarcinoma (LUAD) using clinical samples and construct a prediction model for the prognosis of LUAD. Methods 160 patient samples were used to screen and identify miRNAs associated with the prognosis of LUAD. Differentially expressed miRNAs were analyzed using gene chip technology. The selected miRNAs were validated using samples from the validation sample group. Cox proportional hazards regression was used to construct the model and Kaplan-Meier was used to plot survival curves. Model power was assessed by testing the prognosis of the constructed model using real-time polymerase chain reaction (RT-PCR) data. Results The data showed that miR-1260b, miR-21-3p and miR-92a-3p were highly expressed in the early recurrence and metastasis group, while miR-2467-3p, miR-4659a-3p, miR-4514, miR-1471 and miR-3621 were lowly expressed. It was further confirmed that miR-21-3p was significantly highly expressed in the early recurrence and metastasis group ( p = 0.02). Receiver operating characteristic (ROC) curve results showed cut-off point value of 0.0172, sensitivity of 88.2% and specificity of 100%. The predictive results of the constructed model were in good agreement with the actual prognosis of patients by using the validation sample test (Kappa = 0.426, p < 0.001), with a model sensitivity of 74.4%, a specificity of 68.3%, and an accuracy of 71.3%. Conclusion miRNAs associated with the prognosis of patients with stage I LUAD were screened and validated, and a risk model for predicting the prognosis of patients was constructed. This model has good consistency with the actual prognosis of patients.

Liquid biopsy techniques and lung cancer: diagnosis, monitoring and evaluation

“…Many of these studies utilized multifactorial predictive risk models to assess the prognosis and metastasis of lung cancer through survival analysis and tumor TMN staging [ 205 ]. Dai et al [ 206 ] constructed a lung cancer prognostic model comprising eight miRNAs (miR-1260b, miR-21-3p, miR-92a-3p, miR-2467-3p, miR-4659a-3p, miR-4514, miR-1471, and miR-3621) to evaluate the prognosis and metastatic risk of lung cancer. Similarly, prognostic models constructed by lncRNA and circRNA can be used for the analysis and evaluation of clinical features related to prognosis and metastasis in lung cancer [ 207 ].…”