Prognostic signature of lung adenocarcinoma based on the expression of immune-associated genes.

What is it about?

Background: Tumor cells altered certain immune related genes to mimic the function of immune cells, which involving in tumor development and having impact on patient's survival. Though the immunotherapy of tumors has been widespread concerned, prognostic model of lung adenocarcinoma based on immune genes have not been established and reported. Methods: We initially downloaded RNAseq raw data from TCGA lung adenocarcinoma dataset to identify gene expression in significant difference, and then filtered out the immune related genes in the ImmPort database. By using the lasso algorithm and the multi factor Cox analysis, 5 candidate genes was settled as lung adenocarcinoma immune prognosis model. The specificity and sensitivity of the model was tested by comparing published model. Results: We identified 5 markers (MAP3K8, CCL20, VEGFC, ANGPTL4, ADM2) that could predict the overall survival of lung adenocarcinoma patients (HR = 95% CI: P < 0.001).The model is verified by the microarray data and the predictability is superior to previously reported gene models.

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Why is it important?

Conclusions: In this study, we identified an immune-related gene prognostic model, which is expected to become a practical, independent and accurate prognostic model for lung adenocarcinoma. It has potential value in predicting survival and guiding adjuvant chemotherapy.