Literature DB >> 19544551

Predictive models in diagnosing indolent cancer.

Chris H Bangma1, Monique J Roobol, Ewout W Steyerberg.   

Abstract

The early detection of prostate cancer has led to the increased incidence of tumors that are unlikely to become symptomatic during life: so-called indolent cancers. The ability to predict indolent prostate cancer is needed to avoid over treatment by unnecessary invasive therapies and to select men for active surveillance. For this report, the currently available nomograms that predict these low-risk tumors were reviewed. Many of these nomograms were based on clinical patient series, thus, their general application is restricted. Those nomograms based on screening series of the general population need further validation before generalized application is feasible. Cancer 2009;115(13 suppl):3100-6. (c) 2009 American Cancer Society.

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Year:  2009        PMID: 19544551     DOI: 10.1002/cncr.24347

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


  6 in total

Review 1.  Differentiation of lethal and non lethal prostate cancer: PSA and PSA isoforms and kinetics.

Authors:  H Ballentine Carter
Journal:  Asian J Androl       Date:  2012-02-20       Impact factor: 3.285

2.  Impact of race on survival in patients with clinically nonmetastatic prostate cancer who deferred primary treatment.

Authors:  Michael Koscuiszka; David Hatcher; Paul J Christos; Amy E Rose; Holly S Greenwald; Ya-lin Chiu; Samir S Taneja; Madhu Mazumdar; Peng Lee; Iman Osman
Journal:  Cancer       Date:  2011-10-21       Impact factor: 6.860

Review 3.  Role of prostate and bone stromal cells on prostate cancer progression.

Authors:  Sofia Karkampouna; Marianna Kruithof-de Julio; George N Thalmann
Journal:  Am J Clin Exp Urol       Date:  2022-06-15

Review 4.  Promoter methylation in prostate cancer and its application for the early detection of prostate cancer using serum and urine samples.

Authors:  Hafiz Ahmed
Journal:  Biomark Cancer       Date:  2010-02-18

5.  Rule-based versus probabilistic selection for active surveillance using three definitions of insignificant prostate cancer.

Authors:  Lionne D F Venderbos; Monique J Roobol; Chris H Bangma; Roderick C N van den Bergh; Leonard P Bokhorst; Daan Nieboer; Rebecka Godtman; Jonas Hugosson; Theodorus van der Kwast; Ewout W Steyerberg
Journal:  World J Urol       Date:  2015-07-10       Impact factor: 4.226

6.  Identification and validation of potential new biomarkers for prostate cancer diagnosis and prognosis using 2D-DIGE and MS.

Authors:  Cordelia Geisler; Nadine T Gaisa; David Pfister; Susanne Fuessel; Glen Kristiansen; Till Braunschweig; Sonja Gostek; Birte Beine; Hanna C Diehl; Angela M Jackson; Christoph H Borchers; Axel Heidenreich; Helmut E Meyer; Ruth Knüchel; Corinna Henkel
Journal:  Biomed Res Int       Date:  2015-01-15       Impact factor: 3.246

  6 in total

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