| Objective: Lung cancer is the main cause of human death worldwide.Lung adenocarcinoma is the most common type of lung cancer.With the rapid development of society and medical level,great achievements have been made in the diagnosis and treatment of lung cancer.However,with the increasingly serious air pollution,the incidence and mortality of lung cancer are also increasing.The existing biomarkers can not dynamically monitor the prognosis of the disease in time.Condition.To explore the pathogenesis of lung cancer and find effective biomarkers for lung cancer screening and early diagnosis is the key to reduce the incidence and mortality of lung cancer.MicroRNAs are small non-coding RNAs with length of 19-24 nucleotides,which can be used as post-transcriptional regulators of gene expression.MicroRNAs play an important regulatory role in most cell and developmental processes,and participate in many human diseases,especially in cancer diseases.More and more studies have found that microRNAs are expected to become new tumor biomarkers.The purpose of this study is to find specific microRNAs related toLung adenocarcinoma and provide new biomarkers for Lung adenocarcinoma patients.Methods:(1)The data of microRNAs in 521 Lung adenocarcinoma cancer tissues and 46 adjacent normal tissues were collected from TCGA(The Cancer Genome Atla)database,and the differential microRNAs in cancer tissues and adjacent normal tissues were analyzed.(2)LASSO&COX was used to screen the prognostic microRNA.(3)COX multivariate regression analysis was performed on the selected microRNA.(4)Kaplan-Meier survival curve analysis was performed to identify the microRNAsclosely related to the prognosis of Lung adenocarcinoma.Results:(1)We screened 298 differentially expressed microRNAs,of which 241 were overexpressed and 57 were underexpressed.(2)Univariate COX analysis of 298 differentially expressed microRNAs revealed that 41 differentially expressed microRNAs were associated with the prognosis of Lung adenocarcinoma.Among them,23 microRNAs expressed in Lung adenocarcinoma indicated high risk and 18 microRNAs expressed in Lung adenocarcinoma indicated low risk.(3)Further LASSO-COX regression analysis was performed on 41 microRNAs,and 24 microRNAs related to the prognosis of Lung adenocarcinomawere screened.Fourteen of them had regression coefficients greater than zero,which was negatively correlated with survival time.The regression coefficients of 10 microRNAs were less than zero,which was positively correlated with the survival time of patients.(4)Multivariate COX analysis revealed that there were three expressions(microRNA-548 au,microRNA-1293 and microRNA-543)suggesting that they were high risk predictors of poor prognosis ofLung adenocarcinoma.At the same time,there were four low-risk predictors of poor prognosis ofLung adenocarcinoma(microRNA-548 v,microRNA-490,microRNA-5571,microRNA-142).(5)Further Kaplan-Meier survival curve analysis was performed and statistically significant microRNAs were selected according to P < 0.05.The results showed that 11 of the 24 microRNAs had statistical significance,while 13 microRNAs had no statistical significance.The results are basically consistent with those of the above analysis.Conclusions:(1)Mi-548 au,Mi-1293 and Mi-543 had a higher risk for poor prognosis of Lung adenocarcinoma than normal tissues adjacent to cancer.Mi-548 v,Mi-490,Mi-5571 and Mi-142 had a lower risk for poor prognosis of Lung adenocarcinoma(2)Compared with normal tissue adjacent to cancer,the expression levels of microRNAs-1293,microRNAs-4661,microRNAs-550a-1 and microRNAs-873 were negatively correlated with survival time.The expression of microRNA-142,microRNA-211,microRNA-328,microRNA-490,microRNA-548 v,microRNA-5571 were positively correlated with survival time. |
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