Literature DB >> 18000803

Nomogram incorporating PSA level to predict cancer-specific survival for men with clinically localized prostate cancer managed without curative intent.

Michael W Kattan1, Jack Cuzick, Gabrielle Fisher, Daniel M Berney, Tim Oliver, Christopher S Foster, Henrik Møller, Victor Reuter, Paul Fearn, James Eastham, Peter T Scardino.   

Abstract

BACKGROUND: The prognosis of men with clinically localized prostate cancer is highly variable, and it is difficult to counsel a man who may be considering avoiding, or delaying, aggressive therapy. After collecting data on a large cohort of men who received no initial active prostate cancer therapy, the aim was to develop, and to internally validate, a nomogram for prediction of disease-specific survival.
METHODS: Working with 6 cancer registries within England and numerous hospitals in the region, a population-based cohort of men diagnosed with prostate cancer between 1990 and 1996 was constructed. All men had baseline serum prostate-specific antigen (PSA) measurements, centralized pathologic grading, and centralized review of clinical stage assignment. Based on the clinical and pathologic data from 1911 men, a statistical model was developed and validated that served as the basis for the nomogram. The discrimination and calibration of the nomogram were assessed with use of one-third of the men, who were omitted from modeling and used as a test sample.
RESULTS: The median age of the included men was 70.4 years. The 25th and 75th percentiles of PSA were 7.3 and 32.6 ng/mL respectively, and the median was 15.4 ng/mL. Forty-two percent of the men had high-grade disease. The nomogram predicted well, with a concordance index of 0.73, and had good calibration.
CONCLUSIONS: An accurate tool was developed for predicting the probability that a man with clinically localized prostate cancer will survive his disease for 120 months if the cancer is not treated with curative intent immediately. The tool should be helpful for patient counseling and clinical trial design. 2007 American Cancer Society

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Year:  2008        PMID: 18000803      PMCID: PMC3390682          DOI: 10.1002/cncr.23106

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  9 in total

Review 1.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

2.  Contemporary update of prostate cancer staging nomograms (Partin Tables) for the new millennium.

Authors:  A W Partin; L A Mangold; D M Lamm; P C Walsh; J I Epstein; J D Pearson
Journal:  Urology       Date:  2001-12       Impact factor: 2.649

3.  Radiation therapy for clinically localized prostate cancer: a multi-institutional pooled analysis.

Authors:  W U Shipley; H D Thames; H M Sandler; G E Hanks; A L Zietman; C A Perez; D A Kuban; S L Hancock; C D Smith
Journal:  JAMA       Date:  1999-05-05       Impact factor: 56.272

4.  Nomograms are superior to staging and risk grouping systems for identifying high-risk patients: preoperative application in prostate cancer.

Authors:  Michael W Kattan
Journal:  Curr Opin Urol       Date:  2003-03       Impact factor: 2.309

5.  20-year outcomes following conservative management of clinically localized prostate cancer.

Authors:  Peter C Albertsen; James A Hanley; Judith Fine
Journal:  JAMA       Date:  2005-05-04       Impact factor: 56.272

6.  Fifteen-year survival and recurrence rates after radiotherapy for localized prostate cancer.

Authors:  J A Eastham; M W Kattan; S Groshen; P T Scardino; E Rogers; C E Carlton; S P Lerner
Journal:  J Clin Oncol       Date:  1997-10       Impact factor: 44.544

7.  Long-term survival probability in men with clinically localized prostate cancer: a case-control, propensity modeling study stratified by race, age, treatment and comorbidities.

Authors:  Ashutosh Tewari; Christine Cole Johnson; George Divine; E David Crawford; Eduard J Gamito; Raymond Demers; Mani Menon
Journal:  J Urol       Date:  2004-04       Impact factor: 7.450

8.  Competing risk analysis of men aged 55 to 74 years at diagnosis managed conservatively for clinically localized prostate cancer.

Authors:  P C Albertsen; J A Hanley; D F Gleason; M J Barry
Journal:  JAMA       Date:  1998-09-16       Impact factor: 56.272

9.  Long-term outcome among men with conservatively treated localised prostate cancer.

Authors:  J Cuzick; G Fisher; M W Kattan; D Berney; T Oliver; C S Foster; H Møller; V Reuter; P Fearn; J Eastham; P Scardino
Journal:  Br J Cancer       Date:  2006-11-06       Impact factor: 7.640

  9 in total
  26 in total

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Authors:  L Y T Inoue; R Gulati; C Yu; M W Kattan; R Etzioni
Journal:  Biostatistics       Date:  2012-06-22       Impact factor: 5.899

2.  Molecular sampling of prostate cancer: a dilemma for predicting disease progression.

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Journal:  BMC Med Genomics       Date:  2010-03-16       Impact factor: 3.063

3.  Prostate-specific antigen screening can be beneficial to younger and at-risk men.

Authors:  Monique J Roobol; Chris H Bangma; Stacy Loeb
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4.  Predictive models for newly diagnosed prostate cancer patients.

Authors:  William T Lowrance; Peter T Scardino
Journal:  Rev Urol       Date:  2009

5.  Prognostic value of an RNA expression signature derived from cell cycle proliferation genes in patients with prostate cancer: a retrospective study.

Authors:  Jack Cuzick; Gregory P Swanson; Gabrielle Fisher; Arthur R Brothman; Daniel M Berney; Julia E Reid; David Mesher; V O Speights; Elzbieta Stankiewicz; Christopher S Foster; Henrik Møller; Peter Scardino; Jorja D Warren; Jimmy Park; Adib Younus; Darl D Flake; Susanne Wagner; Alexander Gutin; Jerry S Lanchbury; Steven Stone
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6.  Platelet-lymphocyte and neutrophil-lymphocyte ratios are prognostic but not predictive of response to abiraterone acetate in metastatic castration-resistant prostate cancer.

Authors:  A J Lozano Martínez; R Moreno Cano; S Escobar Páramo; R Salguero Aguilar; E Gonzalez Billalabeitia; R García Fernández; I De La Fuente Muñoz; A Romero Borque; M Porras Martínez; F Lopez Soler; E Cardenas Cánovas; I Ortega Martín
Journal:  Clin Transl Oncol       Date:  2017-07-17       Impact factor: 3.405

Review 7.  Formalized prediction of clinically significant prostate cancer: is it possible?

Authors:  Carvell T Nguyen; Michael W Kattan
Journal:  Asian J Androl       Date:  2012-02-27       Impact factor: 3.285

8.  Risk reduction in kidney surgery.

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9.  Canary Prostate Active Surveillance Study: design of a multi-institutional active surveillance cohort and biorepository.

Authors:  Lisa F Newcomb; James D Brooks; Peter R Carroll; Ziding Feng; Martin E Gleave; Peter S Nelson; Ian M Thompson; Daniel W Lin
Journal:  Urology       Date:  2009-09-16       Impact factor: 2.649

10.  Outcomes of localized prostate cancer following conservative management.

Authors:  Grace L Lu-Yao; Peter C Albertsen; Dirk F Moore; Weichung Shih; Yong Lin; Robert S DiPaola; Michael J Barry; Anthony Zietman; Michael O'Leary; Elizabeth Walker-Corkery; Siu-Long Yao
Journal:  JAMA       Date:  2009-09-16       Impact factor: 56.272

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