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Breast Cancer Research and Treatment

, Volume 121, Issue 3, pp 625–626 | Cite as

High levels of uPA and PAI-1 predict a good response to anthracyclines

  • Kathleen I. Pritchard
Invited Commentary
First, they outline clearly the difference between prognostic and predictive factors, prognostic factors being biomarkers that are related to outcome, not necessarily in relation to particular treatments, while predictive biomarkers are related to outcome in relation to the use of particular therapies [ 1] (see Fig.  1). The ideal study design in which to explore predictive factors is one in which patients are randomly allocated to receive the therapy in question (in this case anthracycline containing chemotherapy) versus a control therapy (in this case non-anthracycline containing chemotherapy). While prognostic factors can be studied in cohorts or randomized trials, the gold standard scenario for the study of predictive factors is that of studies in which patients are randomized to receive the treatment of interest or not. It is important, in this context, to stress that a retrospective analyses testing retrospectively measured biomarkers in a prospectively randomized trial still...

Keywords

Predictive Factor Anthracycline Poor Grade Methodologic Contribution Standard Scenario 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Hayes DF, Trock B, Harris AL. Assessing the clinical impact of prognostic factors: when is “statistically significant” clinical useful? Breast Cancer Res Treat 1998; 52:305–319CrossRefPubMedGoogle Scholar
  2. 2.
    Matthews J, Altman DG (1996) Interaction 3: how to examine heterogeneity. Brit Med J 313:862PubMedGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC. 2010

Authors and Affiliations

  1. 1.Sunnybrook Odette Cancer Centre, Sunnybrook Health Sciences CentreUniversity of TorontoTorontoCanada

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