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A Statistical Analysis of TP53 Mutation Impact on Survival in Lung Adenocarcinoma
Author Name : Dr. P. Umamaheswari, Varshaa Shree L L, Z. Rashmi
DOI: https://doi.org/10.56026/IJARESM.2026.1401260041
ABSTRACT The prognostic significance of TP53 gene mutations in lung adenocarcinoma is assessed in this study using survival analysis. We estimated survival probability distributions for patient cohorts with wild-type versus mutated TP53 using the Kaplan-Meier method, and we used the Log-Rank test to determine the statistical significance of observed survival differences. Our analysis showed that patients with TP53 mutations had a significantly lower overall survival (Log-Rank test: χ² = 12.7, p = 0.0004), with a median survival of 3.2 years compared to 5.8 years for patients with wild-type TP53. The calculated hazard ratio of 1.65 (95% CI: 1.25 2.18) indicates a 65% increased risk of mortality associated with TP53 mutation. These findings highlight the critical importance of statistical methods in validating molecular biomarkers for cancer prognosis.