Objective：By integrating the clinical information group，genome and transcriptome of lung adenocarcinoma，a prognostic risk prediction model was constructed to provide evidence of lung adenocarcinoma patients. Methods：The data of 522 patients with lung adenocarcinoma were downloaded from TCGA website，and the multi group database of lung adenocarcinoma was completed.Cox proportional hazard model was used to evaluate the effect of multigroup data on the prognosis of LUAD. A prognostic risk prediction model based on clinical information，genotyping and multigroup information of gene expression was constructed. ROC curves and AUC was used to assess the ability of risk recognition in prognostic models. Results：A total of 386 patients with lung adenocarcinoma were included in the multi group database. One clinical information group，five genomes and four transcription groups for prognostic factors were detected to associate with the prognosis of lung adenocarcinoma.HR（95%CI）of prognosis of lung adenocarcinoma for high-risk group was 3.67（95% CI=2.46~5.49），as compared with low-risk group. After combining genome，transcriptome and clinical information，the ROC curve is 0.694（95%CI=0.633~0.754）. Conclusion：Prognostic risk prediction index combining clinical information group，genome and transcriptome features can effectively distinguish the prognosis of lung adenocarcinoma patients. The results will provide effective support for accurate treatment of lung adenocarcinoma patients.