The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
p53 Mutations and Survival in Stage I Non-Small-Cell Lung Cancer: Results of a Prospective Study
Open accessAbstract
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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Cites
Crystal Structure of a p53 Tumor Suppressor-DNA Complex: Understanding Tumorigenic Mutations
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Preferential Formation of Benzo[ a ]pyrene Adducts at Lung Cancer Mutational Hotspots in P53
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Disruption of p53 in human cancer cells alters the responses to therapeutic agents.
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Debela, D. T., Muzazu, S. G., Heraro, K. D., Ndalama, M. T., Mesele, B. W., Haile, D. C., Kitui, S. K., & Manyazewal, T. (2021) · SAGE Open Medicine · doi:10.1177/20503121211034366 · Cited by 1,597
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study
Hosny, A., Parmar, C., Coroller, T. P., Grossmann, P., Zeleznik, R., Kumar, A., Bussink, J., Gillies, R. J., Mak, R. H., & Aerts, H. J. W. L. (2018) · PLOS Medicine · doi:10.1371/journal.pmed.1002711 · Cited by 579
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Metadata
- Authors
- Ahrendt, S. A., Hu, Y., Buta, M., McDermott, M. P., Benoit, N., Yang, S. C., Wu, L., & Sidransky, D.
- Venue
- JNCI Journal of the National Cancer Institute
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-07-02
- Volume
- 95
- Issue
- 13
- Pages
- 961-970
- ISSN
- 0027-8874 (ISSN-L)
- 1460-2105
- OpenAlex
- W2016575939
- Cited by
- 222
- References
- 3
- FWCI
- 6.09
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Ahrendt, S. A., Hu, Y., Buta, M., McDermott, M. P., Benoit, N., Yang, S. C., Wu, L., & Sidransky, D. (2003). p53 Mutations and Survival in Stage I Non-Small-Cell Lung Cancer: Results of a Prospective Study. JNCI Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/95.13.961
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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