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Combination of p53AIP1 and survivin expression is a powerful prognostic marker in non-small cell lung cancer.

Yamashita S, Chujo M, Miyawaki M, Tokuishi K, Anami K, Yamamoto S, Kawahara K - J. Exp. Clin. Cancer Res. (2009)

Bottom Line: 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).

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Surgery II, Faculty of Medicine, Oita University, Hasama, Yufu, Oita, Japan. yamashi1@med.oita-u.ac.jp

ABSTRACT

Background: p53AIP1 is a potential mediator of apoptosis depending on p53, which is mutated in many kinds of carcinoma. High survivin expression in non-small cell lung cancer is related with poor prognosis. To investigate the role of these genes in non-small cell lung cancer, we compared the relationship between p53AIP1 or survivin gene expression and the clinicopathological status of lung cancer.

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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Overall survival curves according to p53AIP1 gene expression. Differences are significant (p = 0.04). Number of patients in each group, positive, 22; negative, 25.
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Figure 1: Overall survival curves according to p53AIP1 gene expression. Differences are significant (p = 0.04). Number of patients in each group, positive, 22; negative, 25.

Mentions: Figure 1 shows the overall survival curves by Kaplan-Meier analysis for patients with non-small cell lung cancer classified according to p53AIP1 expression (positive, tumor/normal ratio ≥ negative, <1). Patients in the positive p53AIP1 expression group have a better prognosis than the negative expression group (p = 0.04). The median follow-up period was 5.4 years (1.2 to 8.4 years); however, the superiority of the survivin expression negative group to the positive group for overall survival was not significant (Figure 2). When we compared the prognosis according to the variable combination between p53AIP1 and survivin, the p53AIP (+) survivin (-) group had the best prognosis (Figure 3). In contrast, the p53AIP (-) survivin (+) group showed the worst prognosis and the other two groups were intermediate. In univariate analysis using age, tumor size, lymph node metastasis, histological type, survivin expression, p53AIP1 expression, and the combination of p53AIP1 and survivin, p53AIP1 and the combination were statistically significant (Table 2).


Combination of p53AIP1 and survivin expression is a powerful prognostic marker in non-small cell lung cancer.

Yamashita S, Chujo M, Miyawaki M, Tokuishi K, Anami K, Yamamoto S, Kawahara K - J. Exp. Clin. Cancer Res. (2009)

Overall survival curves according to p53AIP1 gene expression. Differences are significant (p = 0.04). Number of patients in each group, positive, 22; negative, 25.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2654787&req=5

Figure 1: Overall survival curves according to p53AIP1 gene expression. Differences are significant (p = 0.04). Number of patients in each group, positive, 22; negative, 25.
Mentions: Figure 1 shows the overall survival curves by Kaplan-Meier analysis for patients with non-small cell lung cancer classified according to p53AIP1 expression (positive, tumor/normal ratio ≥ negative, <1). Patients in the positive p53AIP1 expression group have a better prognosis than the negative expression group (p = 0.04). The median follow-up period was 5.4 years (1.2 to 8.4 years); however, the superiority of the survivin expression negative group to the positive group for overall survival was not significant (Figure 2). When we compared the prognosis according to the variable combination between p53AIP1 and survivin, the p53AIP (+) survivin (-) group had the best prognosis (Figure 3). In contrast, the p53AIP (-) survivin (+) group showed the worst prognosis and the other two groups were intermediate. In univariate analysis using age, tumor size, lymph node metastasis, histological type, survivin expression, p53AIP1 expression, and the combination of p53AIP1 and survivin, p53AIP1 and the combination were statistically significant (Table 2).

Bottom Line: 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).

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Surgery II, Faculty of Medicine, Oita University, Hasama, Yufu, Oita, Japan. yamashi1@med.oita-u.ac.jp

ABSTRACT

Background: p53AIP1 is a potential mediator of apoptosis depending on p53, which is mutated in many kinds of carcinoma. High survivin expression in non-small cell lung cancer is related with poor prognosis. To investigate the role of these genes in non-small cell lung cancer, we compared the relationship between p53AIP1 or survivin gene expression and the clinicopathological status of lung cancer.

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.

Show MeSH
Related in: MedlinePlus