Literature DB >> 29107271

Whom to Treat: Postdiagnostic Risk Assessment with Gleason Score, Risk Models, and Genomic Classifier.

Annika Herlemann1, Samuel L Washington2, Renu S Eapen2, Matthew R Cooperberg3.   

Abstract

Management of prostate cancer presents unique challenges because of the disease's variable natural history. Accurate risk stratification at the time of diagnosis in clinically localized disease is crucial in providing optimal counseling about management options. To accurately distinguish pathologically indolent tumors from aggressive disease, risk groups are no longer sufficient. Rather, multivariable prognostic models reflecting the complete information known at time of diagnosis offer improved accuracy and interpretability. After diagnosis, further testing with genomic assays or other biomarkers improves risk classification. These postdiagnostic risk assessment tools should not supplant shared decision making, but rather facilitate risk classification and enable more individualized care.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Genomic assays; Gleason score; Nomograms; Prostate cancer; Risk assessment; Risk models; Treatment

Mesh:

Substances:

Year:  2017        PMID: 29107271     DOI: 10.1016/j.ucl.2017.07.003

Source DB:  PubMed          Journal:  Urol Clin North Am        ISSN: 0094-0143            Impact factor:   2.241


  2 in total

1.  Models predicting survival to guide treatment decision-making in newly diagnosed primary non-metastatic prostate cancer: a systematic review.

Authors:  David Thurtle; Sabrina H Rossi; Brendan Berry; Paul Pharoah; Vincent J Gnanapragasam
Journal:  BMJ Open       Date:  2019-06-22       Impact factor: 2.692

2.  Individual prognosis at diagnosis in nonmetastatic prostate cancer: Development and external validation of the PREDICT Prostate multivariable model.

Authors:  David R Thurtle; David C Greenberg; Lui S Lee; Hong H Huang; Paul D Pharoah; Vincent J Gnanapragasam
Journal:  PLoS Med       Date:  2019-03-12       Impact factor: 11.069

  2 in total

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