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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao European Urologyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
European Urology
Article . 1996 . Peer-reviewed
Data sources: Crossref
European Urology
Article . 1996
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p53 Immunoreactivity as Prognostic Marker for Cancer-Specific Survival in Prostate Cancer

Authors: P, Stattin; A, Bergh; L, Karlberg; H, Nordgren; J E, Damber;

p53 Immunoreactivity as Prognostic Marker for Cancer-Specific Survival in Prostate Cancer

Abstract

The objective of this study was to evaluate the role of p53 immunoreactivity as a prognostic marker in prostate cancer.The nuclear accumulation of the aberrant p53 protein was determined by immunohisto-chemistry on surgical specimens and related to stage, grade and cancer-specific survival in 186 prostate cancer patients treated with transurethral resection and subsequent surveillance.There was a significant correlation between p53 staining and grade: 2% of the highly differentiated, 8% of intermediately, and 21% of the poorly differentiated tumors stained. Patients with p53-positive tumors had a significantly shorter survival (52 months) than the p53-negative group (123 months). However, in a Cox multiple regression analysis of p53 status, tumor stage, grade, metastasis and age, p53 lost its significance as an independent predictor.p53 is a rare and late event in prostate cancer, indicating that other molecular mechanisms may be of greater importance in the development of prostate cancer. The predictive value of p53 apparently depends on its association with high grade and advanced stage, and it is not a useful prognostic marker in prostate cancer. However, p53 status could play a role in the evaluation of patients prior to radiotherapy since p53 inactivation may produce radioresistant tumors.

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Keywords

Adult, Aged, 80 and over, Male, Antibodies, Neoplasm, Prostatic Neoplasms, Middle Aged, Prognosis, Immunohistochemistry, Survival Rate, Biomarkers, Tumor, Humans, Regression Analysis, Tumor Suppressor Protein p53, Aged, Follow-Up Studies, Neoplasm Staging, Retrospective Studies

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    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).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
23
Average
Top 10%
Top 10%
Related to Research communities
Cancer Research
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