Objectives: The presence of prostate-specific antigen (PSA)-bounce after external beam radiation therapy (EBRT) and hormone therapy (HT) makes PSA an unreliable marker in determining PSA biochemical failure (PSA-BF) during the first 2 years after EBRT + HT in patients with non-operated prostate cancer (CaP). To determine the reliability of PSA-BF in predicting clinical outcomes, the Kamat definition, which does not consider PSA-BF during the first 24 months after EBRT, was tested against three other more frequently used methods (American Society of Radiation Oncology, Vancouver, and American Society of Radiation Oncology-Phoenix), which do. Secondly, their relative accuracies in predicting the clinical outcomes were also calculated.

Materials And Methods: In January 2011, 193 consecutive CaPs, treated with radical EBRT + HT in our institution from 1999 to 2002, were retrospectively investigated. BF was calculated according to the Kamat definition against the other three above-mentioned methods. Each BF-free survival was analyzed in function of every clinical endpoint (clinical-failure-free survival, cause specific survival, and overall survival) using univariate and multivariate Cox regression analyses. The accuracy of each definition in predicting clinical relapse was also calculated and compared.

Results: Only the Kamat BF definition had both a significant Cox hazard ratio, regarding clinical events or cancer deaths, and the best accuracy values in predicting clinical outcomes. Retrospective study design was the major limitation of the study.

Conclusions: Only the Kamat definition, which does not consider PSA-BF during the first 24 months after EBRT + HT, was shown to be a reliable predictor of clinical events. Thus, our results suggest that solely PSA-based BF should not be considered as a reliable surrogate endpoint during the first 24 months after EBRT + HT. Consequently, caution should be used in adopting rescue treatment without further work-up on an individual basis.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.urolonc.2012.10.011DOI Listing

Publication Analysis

Top Keywords

predicting clinical
16
kamat definition
16
clinical outcomes
12
months ebrt
12
biochemical failure
8
external beam
8
beam radiation
8
radiation therapy
8
hormone therapy
8
patients non-operated
8

Similar Publications

Joubert syndrome (JS) is a rare neurodevelopmental disorder associated with mutations in genes involved in ciliary function. Germline variants in CPLANE1 have been implicated in JS. In this study, we investigated a family with three adverse pregnancies characterised by fetal malformations consistent with JS.

View Article and Find Full Text PDF

The purpose of this study was to recognise predictive biomarkers and explore the promising therapeutic targets of AD with depression. We confirmed a positive correlation between AD and depression through MR Analysis. Through WGCNA analysis, we identified 1569 genes containing two modules, which were most related to AD.

View Article and Find Full Text PDF

Ability and utility of the Physician Well-Being Index to identify distress among Chinese physicians.

Ann Med

December 2025

Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, the Second Xiangya Hospital of Central South University, Changsha, Hunan, China.

Background: Despite the high prevalence of mental stress among physicians, reliable screening tools are scarce. This study aimed to evaluate the capability of the Physician Well-Being Index (PWBI) in identifying distress and adverse consequences among Chinese physicians.

Methods: This cross-sectional online survey recruited 2803 physicians from Southern Mainland China snowball sampling between October and December 2020.

View Article and Find Full Text PDF

European cancer mortality predictions for the year 2025 with focus on breast cancer.

Ann Oncol

February 2025

Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy. Electronic address:

Background: We predicted the number of cancer deaths and rates for 2025 in the European Union (EU), its five most populous countries, and the UK, focusing on breast cancer.

Materials And Methods: We derived population data and death certificates for all cancers and major sites for the EU, France, Germany, Italy, Poland, Spain, and the UK since 1970, from the World Health Organization and United Nations databases. Estimates for 2025 were computed by linear regression on recent trends identified through Poisson joinpoint regression, considering the slope of the most recent trend segment.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!