Skip to main content

Table 3 Evaluation of cell cycle gene expression signature as breast cancer prognosis markers by supervised methods.

From: Identification of a gene signature in cell cycle pathway for breast cancer prognosis using gene expression profiling data

  

Dataset

Gene signature model

Number of genes used in the classification model

Training and testing: Wang dataset [8]

Independent validation: Miller dataset [22]

Independent validation: Pawitan dataset [7]

The 70-gene signature

51

6.1E-05

0.057

0.051

Breast cancer

232

2.6E-09

0.0012

0.0019

Cell Cycle

108

1.4E-06

0.0050

0.0046

Random

232

1.8E-13

0.14

0.52

  1. The numbers represent the log-rank test P values in Kaplan-Meier analysis in the good and poor prognosis groups predicted by the Amsterdam 70-gene signature, the breast cancer gene set, the cell cycle gene set classifier, and the randomly selected gene set respectively.