Research Article

Modified Logistic Regression Models Using Gene Coexpression and Clinical Features to Predict Prostate Cancer Progression

Table 1

Logistic regression models that included TSP-selected gene pairs and different combinations of clinical variables.

Model numberPatient’s ageGleason scoreTumor percentageFusion ERG arrangementTSP genes

1.1X
1.2XX
1.3XX
1.4XX
1.5XX
1.6XXX
1.7XXX
1.8XXX
1.9XXX
1.10XXX
1.11XXX
1.12XXXX
1.13XXXX
1.14XXXX
1.15XXXX
1.16XXXXX