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Review
. 2009 Nov;27(9):885-90.
doi: 10.3109/07357900903275142.

Gene expression profile assays as predictors of distant recurrence-free survival in early-stage breast cancer

Nicole M Kuderer  1 , Gary H Lyman
Affiliations
Review

Gene expression profile assays as predictors of distant recurrence-free survival in early-stage breast cancer

Nicole M Kuderer et al. Cancer Invest. 2009 Nov.
No abstract available

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Figures

Figure 1
Figure 1
Forest plot of the positive predictive value of gene expression profile signatures ± 95% CLs in ESBC estimated by the Mantel-Haenszel method for each study. The weighted combined positive predictive value ± 95% CLs based on a random effects model is shown at the bottom.
Figure 2
Figure 2
Forest plot of the negative predictive value of gene expression profile signatures ±95% CLs in ESBC estimated by the Mantel—Haenszel method for each study. The weighted combined negative predictive value ±95% CLs based on a random effects model is shown at the bottom.
Figure 3
Figure 3
Graph of the diagnostic odds ratio and the number of genes in the assay signature from each study of patients with early-stage breast cancer. The filled line is based on linear regression on the mean ±95% CLs.
See this image and copyright information in PMC

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