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COMPLEX ANALYSIS OF PROGNOSTIC FACTORS IN PATIENTS WITH ADVANCED AND LOCALLY ADVANCED PROSTATE CANCER

Oncourology

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Title COMPLEX ANALYSIS OF PROGNOSTIC FACTORS IN PATIENTS WITH ADVANCED AND LOCALLY ADVANCED PROSTATE CANCER
КОМПЛЕКСНЫЙ АНАЛИЗ ФАКТОРОВ ПРОГНОЗА У БОЛЬНЫХ ЛОКАЛИЗОВАННЫМ И МЕСТНО-РАСПРОСТРАНЕННЫМ РАКОМ ПРЕДСТАТЕЛЬНОЙ ЖЕЛЕЗЫ
 
Creator N. Vorobyev V.; P.A. Herzen Moscow Research Oncological Institute
B. Alekseyev Ya.; P.A. Herzen Moscow Research Oncological Institute
V. Filimonov V.; Moscow State Institute of Experimental Medicine
A. Zemlyansky Yu.; M.V. Lomonosov Moscow State University
Н. Воробьев В.; МНИОИ им. П.А. Герцена
Б. Алексеев Я.; МНИОИ им. П.А. Герцена
В. Филимонов В.; МГИЭМ
А. Землянский Ю.; МГУ им. М.В. Ломоносова
 
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Description Objective: to study the likelihood of tumor extracapsular invasion (EI) and lymphogenous metastasis (N+) in patients with prostate cancer(PC) after radical prostatectomy (RPE) on the basis of prognostic factors.Subjects and methods. Fifty hundred patients who had undergone RPE in 1999-2008 were enrolled in the study. The patients' age was63.2±6.2 (range 46-78) years; median prostate-specific antigen (PSA) was 11.0 ng/ml (interquartile range 7.4-19.5 ng/ml). According topreoperative findings, 418 (78.9%) and 112 (21.1%) patients were diagnosed as having advanced and locally advanced PC, respectively.According to Gleason tumor grades, the patients were distributed as follows: 2-4 scores in 94 (17.7%) patients; 5-6 scores in 266 (50.2%);7 scores in 103 (19.4%); 8-10 scores in 26 (4.9%). Planned histological studies revealed no tumor in 1.5% of cases; advanced and locallyadvanced PC was diagnosed in 54.5 and 45.5% of cases, respectively; of them N+ was in 32.9%.Results. A correlation of prognostic factors and expected outcomes was analyzed, the results of which were used to select the most importantpredictors of the extension of a tumor process (percent of positive biopsy specimens, sum of Gleason scores, PSA level, clinical process stage,presence of EI from preoperative data). Regression models were created considering the results of the logistic regression analysis. To evalu-ate efficiency, the area under the AUC-ROC curve was calculated for each model. For evaluation of the comparative effectiveness, the AUC-ROC curve was also estimated for each outcome, by applying the Partin tables.Conclusions. The developed models of predicting the presence of tumor EI and metastatic spread to the lymph nodes make it possible to havea good agreement of the predicted likelihood of an outcome and the results of a histological study. These models show a higher prognosticeffectiveness than do the Partin tables.  
Комплексный анализ факторов прогноза у больных локализованным и местно-распространенным раком предстательной железы 
 
Publisher "PH "ABV-Press"", LLC
 
Contributor —
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Date 2014-08-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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Format application/pdf
 
Identifier http://oncourology.abvpress.ru/index.php/oncur/article/view/205
 
Source Oncourology; № 1 (2009); 56-63
Онкоурология; № 1 (2009); 56-63
1726-9776
 
Language rus
 
Relation http://oncourology.abvpress.ru/index.php/oncur/article/view/205/219
 
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