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Table 2 The important prognostic feature DEGs screened by Logit model

From: Prognostic biomarkers related to breast cancer recurrence identified based on Logit model analysis

ID

B

SE

Df

p value

UBE2L6

− 2.2813

0.7054

1

0.00122

ABCA3

− 1.5546

0.5185

1

0.00272

MAP2K6

− 0.7117

0.3443

1

0.03877

IL1RN

− 0.5372

0.2485

1

0.03064

FOXJ1

− 0.2375

0.0955

1

0.01285

CCL22

− 0.5239

0.2706

1

0.04529

APC2

0.6777

0.3478

1

0.04513

TRPM2

0.9379

0.3747

1

0.01232

KCNIP3

0.9632

0.3339

1

0.00392

MRPL13

3.0732

0.7985

1

0.00012

  1. Note:B regression coefficient, SE Standard error, Df Degree of freedom