Abstract | BACKGROUND: MATERIALS AND METHODS: Forty-seven samples from non-small cell lung cancer patients were obtained between 1997 and 2003. For quantitative evaluation of RNA expression by PCR, we used Taqman PCR methods. RESULTS: Although no correlation between p53AIP1 or survivin gene expression and clinicopathological factors was found, the relationship between survivin gene expression and nodal status was significant (p = 0.03). Overall survival in the p53AIP1-negative group was significantly worse than in the positive group (p = 0.04); however, although survivin expression was not a prognostic factor, the combination of p53AIP1 and survivin was a significant prognostic predictor (p = 0.04). In the multivariate cox proportional hazard model, the combination was an independent predictor of overall survival (p53AIP1 (+) survivin (+), HR 0.21, 95%CI = [0.01-1.66]; p53AIP1 (+) survivin (-), HR 0.01, 95%CI = [0.002-0.28]; p53AIP1 (-) survivin (-), HR 0.01, 95%CI = [0.002-3.1], against p53AIP1 (-) survivin (+), p = 0.03). CONCLUSION: These data suggest that the combination of p53AIP1 and survivin gene expression may be a powerful tool to stratify subgroups with better or worse prognosis from the variable non-small cell lung cancer population.
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Authors | Shin-ichi Yamashita, Masao Chujo, Michiyo Miyawaki, Keita Tokuishi, Kentaro Anami, Satoshi Yamamoto, Katsunobu Kawahara |
Journal | Journal of experimental & clinical cancer research : CR
(J Exp Clin Cancer Res)
Vol. 28
Pg. 22
(Feb 19 2009)
ISSN: 1756-9966 [Electronic] England |
PMID | 19228369
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Chemical References |
- Apoptosis Regulatory Proteins
- Biomarkers, Tumor
- P53AIP1 protein, human
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Topics |
- Adult
- Aged
- Apoptosis Regulatory Proteins
(biosynthesis, genetics)
- Biomarkers, Tumor
(biosynthesis, genetics)
- Carcinoma, Non-Small-Cell Lung
(genetics, metabolism, pathology)
- Female
- Gene Expression
- Genes, p53
- Humans
- Lung Neoplasms
(genetics, metabolism, pathology)
- Lymphatic Metastasis
- Male
- Middle Aged
- Prognosis
- Survival Analysis
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