Dataset Information

Prediction of patient-specific risk and percentile cohort risk of pathological stage outcome using continuous prostate-specific antigen measurement, clinical stage and biopsy Gleason score.

ABSTRACT:

Objectives

• To develop a '2010 Partin Nomogram' with total prostate-specific antigen (tPSA) as a continuous biomarker, in light of the fact that the current 2007 Partin Tables restrict the application of tPSA as a non-continuous biomarker by creating 'groups' for risk stratification with tPSA levels (ng/mL) of 0-2.5, 2.6-4.0, 4.1-6.0, 6.1-10.0 and >10.0. • To use a 'predictiveness curve' to calculate the percentile risk of a patient among the cohort.

Patients and methods

• In all, 5730 and 1646 patients were treated with radical prostatectomy (without neoadjuvant therapy) between 2000 and 2005 at the Johns Hopkins Hospital (JHH) and University Clinic Hamburg-Eppendorf (UCHE), respectively. • Multinomial logistic regression analysis was performed to create a model for predicting the risk of the four non-ordered pathological stages, i.e. organ-confined disease (OC), extraprostatic extension (EPE), and seminal vesicle (SV+) and lymph node (LN+) involvement. • Patient-specific risk was modelled as a function of the B-spline basis of tPSA (with knots at the first, second and third quartiles), clinical stage (T1c, T2a, and T2b/T2c) and biopsy Gleason score (5-6, 3 + 4 = 7, 4 + 3 = 7, 8-10).

Results

• The '2010 Partin Nomogram' calculates patient-specific absolute risk for all four pathological outcomes (OC, EPE, SV+, LN+) given a patient's preoperative clinical stage, tPSA and biopsy Gleason score. • While having similar performance in terms of calibration and discriminatory power, this new model provides a more accurate prediction of patients' pathological stage than the 2007 Partin Tables model. • The use of 'predictiveness curves' has also made it possible to obtain the percentile risk of a patient among the cohort and to gauge the impact of risk thresholds for making decisions regarding radical prostatectomy.

Conclusion

• The '2010 Partin Nomogram' using tPSA as a continuous biomarker together with the corresponding 'predictiveness curve' will help clinicians and patients to make improved treatment decisions.

SUBMITTER: Huang Y

PROVIDER: S-EPMC3082635 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prediction of patient-specific risk and percentile cohort risk of pathological stage outcome using continuous prostate-specific antigen measurement, clinical stage and biopsy Gleason score.

Huang Ying Y Isharwal Sumit S Haese Alexander A Chun Felix K H FK Makarov Danil V DV Feng Ziding Z Han Misop M Humphreys Elizabeth E Epstein Jonathan I JI Partin Alan W AW Veltri Robert W RW

BJU international 20100928 10

<h4>Objectives</h4>• To develop a '2010 Partin Nomogram' with total prostate-specific antigen (tPSA) as a continuous biomarker, in light of the fact that the current 2007 Partin Tables restrict the application of tPSA as a non-continuous biomarker by creating 'groups' for risk stratification with tPSA levels (ng/mL) of 0-2.5, 2.6-4.0, 4.1-6.0, 6.1-10.0 and >10.0. • To use a 'predictiveness curve' to calculate the percentile risk of a patient among the cohort.<h4>Patients and methods</h4>• In all ...[more]

PMID: 20875091

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Project description:ImportanceIt is unknown how treatment with radical prostatectomy (RP) and adjuvant external beam radiotherapy (EBRT), androgen deprivation therapy (ADT), or both (termed MaxRP) compares with treatment with EBRT, brachytherapy, and ADT (termed MaxRT).ObjectiveTo investigate whether treatment of Gleason score 9-10 prostate cancer with MaxRP vs MaxRT was associated with prostate cancer-specific mortality (PCSM) and all-cause mortality (ACM) risk.Design, setting, and participantsThe study cohort comprised 639 men with clinical T1-4,N0M0 biopsy Gleason score 9-10 prostate cancer. Between February 6, 1992, and April 26, 2013, a total of 80 men were consecutively treated with MaxRT at the Chicago Prostate Cancer Center, and 559 men were consecutively treated with RP and pelvic lymph node dissection at the Martini-Klinik Prostate Cancer Center. Follow-up started on the day of prostate EBRT or RP and concluded on October 27, 2017.ExposuresOf the 559 men managed with RP and pelvic lymph node dissection, 88 (15.7%) received adjuvant EBRT, 49 (8.8%) received ADT, and 50 (8.9%) received both.Main outcomes and measuresTreatment propensity score-adjusted risk of PCSM and ACM and the likelihood of equivalence of these risks between treatments using a plausibility index.ResultsThe cohort included 639 men, with a mean (SD) age of 65.83 (6.52) years. After median follow-ups of 5.51 years (interquartile range, 2.19-6.95 years) among 80 men treated with MaxRT and 4.78 years (interquartile range, 4.01-6.05 years) among 559 men treated with RP-containing treatments, 161 men had died, 106 (65.8%) from prostate cancer. There was no significant difference in the risk of PCSM (adjusted hazard ratio, 1.33; 95% CI, 0.49-3.64; P = .58) and ACM (adjusted hazard ratio, 0.80; 95% CI, 0.36-1.81; P = .60) when comparing men who underwent MaxRP vs MaxRT, with plausibility indexes for equivalence of 76.75% for the end point of the risk of PCSM and 77.97% for the end point of the risk of ACM. Plausibility indexes for all other treatment comparisons were less than 63%.Conclusions and relevanceResults of this study suggest that it is plausible that treatment with MaxRP or MaxRT for men with biopsy Gleason score 9-10 prostate cancer can lead to equivalent risk of PCSM and ACM.

Dataset Information

Prediction of patient-specific risk and percentile cohort risk of pathological stage outcome using continuous prostate-specific antigen measurement, clinical stage and biopsy Gleason score.

Objectives

Patients and methods

Results

Conclusion

Publications

Prediction of patient-specific risk and percentile cohort risk of pathological stage outcome using continuous prostate-specific antigen measurement, clinical stage and biopsy Gleason score.

Similar Datasets

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