Purpose
TP53 mutation, one of the most frequent mutations in earlyâstage lung adenocarcinoma (LUAD), triggers a series of alterations in the immune landscape, progression, and clinical outcome of earlyâstage LUAD. Our study was designed to unravel the effects of TP53 mutation on the immunophenotype of earlyâstage LUAD and formulate a TP53âassociated immune prognostic model (IPM) that can estimate prognosis in earlyâstage LUAD patients.
Materials and methods
Immuneâassociated differentially expressed genes (DEGs) between TP53 mutated (TP53MUT) and TP53 wildâtype (TP53WT) earlyâstage LUAD were comprehensively analyzed. Univariate Cox analysis and least absolute shrinkage and selection operator (LASSO) analysis identified the prognostic immuneâassociated DEGs. We constructed and validated an IPM based on the TCGA and a metaâGEO composed of GSE72094, GSE42127, and GSE31210, respectively. The CIBERSORT algorithm was analyzed for assessing the percentage of immune cell types. A nomogram model was established for clinical application.
Results
TP53 mutation occurred in approximately 50.00% of LUAD patients, stimulating a weakened immune response in earlyâstage LUAD. Sixtyâseven immuneâassociated DEGs were determined between TP53WT and TP53MUT cohort. An IPM consisting of two prognostic immuneâassociated DEGs (risk score = 0.098 * ENTPD2 expression + 0.168 * MIF expression) was developed through 397 cases in the TCGA and further validated based on 623 patients in a metaâGEO. The IPM stratified patients into low or high risk of undesirable survival and was identified as an independent prognostic indicator in multivariate analysis (HR = 2.09, 95% CI: 1.43â3.06, p < 0.001). Increased expressions of PDâL1, CTLAâ4, and TIGIT were revealed in the highârisk group. Prognostic nomogram incorporating the IPM and other clinicopathological parameters (TNM stage and age) achieved optimal predictive accuracy and clinical utility.
Conclusion
The IPM based on TP53 status is a reliable and robust immune signature to identify earlyâstage LUAD patients with high risk of unfavorable survival.