DNA sequencing is the gold-standard method, but it is not feasible on a routine clinical basis. Immunohistochemistry is the most widely used method for assessing P53 alterations in human cancers. It can be performed during routine analysis, but some mutations may not lead to P53 protein accumulation, or P53 overexpression may be detected in the absence of mutations of the P53 gene. Recent studies have demonstrated the appearance of P53 antibodies in the serum of patients with lung cancer, probably due to the accumulation of mutant P53 protein in tumor cells. Using a logistic regression model applied to data for 102 non-small cell lung cancer (NSCLC) patients, we show a strong association between results of P53 mutation (P53-M) test, TNM stage and results of anti-P53 antibody in serum (P53-Abs) and P53 protein expression (P53-PE) tests. According to that model, we propose a procedure allowing for prediction of result of P53-M test. The percentage of correct predictions for independent data of 15 NSCLC patients was 80%. We conclude that in the absence of P53-M test result, a reasonably precise prediction of the test can be obtained using TNM stage and results of P53-Abs and P53-PE tests. The prediction can in turn be used to evaluate prognosis of NSCLC patients.