Multivariate Prognostic Analysis Of Advanced Lung Adenocarcinoma And Establishment Of Prognostic Model

Backeground: Adenocarcinoma(LUAD)is the most common pathological type of non-small cell lung cancer(NSCLC).Because most lung cancer patients are first diagnosed at the late stage of the disease,the best opportunity for radical surgery is missed,and the prognosis of advanced lung adenocarcinoma is always poor,and the overall survival rate is poor.Therefore,this paper retrospectively analyzed the factors affecting the survival prognosis of patients with advanced lung adenocarcinoma.Methods: In this study,clinical data of patients diagnosed with advanced lung adenocarcinoma from January 2013 to December 2017 in the Affiliated Cancer Hospital of Xinjiang Medical University were included,and retrospective survival analysis was performed and a nomogram prognostic prediction model was constructed.The performance evaluation of the prediction ability of the nomogram was then evaluated by using the operating characteristic curve(ROC),decision curve(DCA)and calibration curve of the subject.Results: We observed that lymphocyte/monocyte ratio(LMR),platelet/lymphocyte ratio(PLR),prognostic nutrition index(PNI),epidermal growth factor receptor(EGFR)mutation positive,CA125 and α1-microglobulin(α1-MG)were independent risk factors for prognosis in patients with advanced lung adenocarcinoma,and P <0.05 were selected to construct a nomogram model.The area under the ROC curve is 0.879(95% confidence interval: 0.850-0.908),indicating that the nomogram has a good judgment ability.Conclusion: This paper defines the independent risk factors affecting the prognosis of advanced lung adenocarcinoma,and establishes a nomogram prognostic model to predict the 1-year,3-year and 5-year survival rate of patients with advanced lung adenocarcinoma,so that clinicians can take effective individualized treatment and judge the tumor burden to play a good adjuvant role.