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JNCI Journal of the National Cancer Institute 2003 95(13):961-970; doi:10.1093/jnci/95.13.961
© 2003 by Oxford University Press
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Journal of the National Cancer Institute, Vol. 95, No. 13, 961-970, July 2, 2003
© 2003 Oxford University Press


ARTICLE

p53 Mutations and Survival in Stage I Non-Small-Cell Lung Cancer: Results of a Prospective Study

Steven A. Ahrendt, Yingchuan Hu, Martin Buta, Michael P. McDermott, Nicole Benoit, Stephen C. Yang, Li Wu, David Sidransky

Affiliations of authors: S. A. Ahrendt, Y. Hu, Department of Surgery, University of Rochester, Rochester, NY; M. Buta, N. Benoit, L. Wu, D. Sidransky, Department of Otolaryngology-Head and Neck Surgery, The Johns Hopkins School of Medicine, Baltimore, MD; M. P. McDermott, Department of Biostatistics, University of Rochester; S. C. Yang, Department of Surgery, The Johns Hopkins School of Medicine.

Correspondence to: Steven A. Ahrendt, M.D., Department of Surgery, University of Rochester, 601 Elmwood Ave., Rochester, NY 14642 (e-mail: steven_ahrendt{at}urmc.rochester.edu).

Background: The p53 gene is frequently mutated in non-small-cell lung cancer (NSCLC); however, the effect of p53 gene mutations on patient prognosis remains unclear. Therefore, we initiated a prospective study to determine the association of p53 gene mutations with survival in patients with stage I NSCLC. Methods: Tumor samples were collected prospectively from 188 patients with operable NSCLC (stages I, II, and IIIA). p53 mutations were detected by direct dideoxynucleotide sequencing and p53 GeneChip analysis. Association of clinical and pathologic variables (e.g., alcohol consumption, sex, age, pathologic stage) with mutation of the p53 gene was determined by logistic regression. Associations between p53 mutation status, clinical and pathologic variables, and survival were assessed using a Cox proportional hazards regression model. All statistical tests were two-sided. Results: p53 mutations were detected in 55% (104/188) of tumors. These mutations were associated with non-bronchoalveolar tumors, a history of alcohol consumption, and younger patient age. The risk of death was statistically significantly higher in patients with p53 mutations in their tumors (hazard ratio [HR] = 1.6, 95% confidence interval [CI] = 1.0 to 2.4; P = .049) than in patients with wild-type p53 in their tumors. Tumor stage, the presence of a p53 mutation, and increasing patient age were statistically significant predictors of patient death in the entire patient group; however, the statistically significant prognostic effect of p53 mutation was limited to patients with stage I NSCLC (stage I HR = 2.8, 95% CI = 1.4 to 5.6; stage II HR = 1.8, 95% CI = 0.74 to 4.4; and stage III HR = 0.70, 95% CI = 0.32 to 1.5). Among patients with stage I NSCLC, actuarial 4-year survival was statistically significantly higher in those with wild-type p53 than in those with mutant p53 (78% versus 52%, respectively; difference in 4-year survival = 26%, 95% CI = 6% to 46%; P = .009, log-rank test). Conclusion: Tumor p53 mutations are a statistically significant predictor of poor outcome in patients with stage I NSCLC.



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