Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ International Journa...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Association of p53 expression with prognosis in patients with esophageal squamous cell carcinoma.

Authors: Wenjian, Yao; Xiuguang, Qin; Bo, Qi; Jianguo, Lu; Ling, Guo; Fulei, Liu; Shangguo, Liu; +1 Authors

Association of p53 expression with prognosis in patients with esophageal squamous cell carcinoma.

Abstract

It has been well accepted that p53 overexpression is associated with advanced stages of cancer. However, the prognostic role of p53 overexpression in esophageal squamous cell carcinoma (ESCC) remains unclear. To investigate the prognostic role of p53 overexpression in patients with ESCC, a retrospective cohort study of 136 ESCC patients was carried out. The expression of p53 protein in tumor tissues was investigated immunohistochemically. Positive expression of p53 protein was detected in 57 ESCC patients (41.9%). The p53 overexpression was associated with smoking (P < 0.001), tumor differentiation (P < 0.001), and tumor size (P < 0.001). In the Kaplan-Meier analysis, patients with p53 overexpression had significantly shorter overall survival than those patients with negative p53 expression (log-rank P < 0.001). Multivariable analysis by Cox regression model further showed that p53 overexpression was a significantly independent predictor of poorer overall survival (hazard ratio [HR] = 1.91; 95% confidence interval [95% CI] 1.03-3.54, P = 0.04). Thus, p53 overexpression is associated with poor prognosis in patients with early stage esophageal squamous cell carcinoma, and it's a significantly independent predictor of poorer overall survival.

Related Organizations
Keywords

Adult, Male, Chi-Square Distribution, Esophageal Neoplasms, Cell Differentiation, Kaplan-Meier Estimate, Middle Aged, Prognosis, Immunohistochemistry, Predictive Value of Tests, Multivariate Analysis, Biomarkers, Tumor, Carcinoma, Squamous Cell, Humans, Female, Esophageal Squamous Cell Carcinoma, Aged, Neoplasm Staging, Proportional Hazards Models, Retrospective Studies

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Average
Average
Top 10%
gold
Related to Research communities
Cancer Research