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Table 4 Logistic regression analysis between stratified clinical parameter (response to treatment) and stratified or normalized continuous biomarkers, showing the p value, odds ratio and the 95% confidence interval for this odds ratio. Univariate and multivariate analysis

From: Plasma cell-free DNA (cfDNA) as a predictive and prognostic marker in patients with metastatic breast cancer

Categorical variable to analyse

Variable

p value

Odds ratio

95% CI for OR

Type of analysis

Type of variable

Lower

Upper

Response (RECIST 2 categories) vs

CTC threshold

0.030

5.133

1.174

22.450

Univariate

Stratified biomarker

cfDNA threshold

*Cannot be quantified

CA15-3 threshold

0.165

0.528

0.214

1.302

AP threshold

0.056

4.222

0.961

18.542

CTC threshold

0.265

2.502

0.499

12.534

**Multivariate

cfDNA threshold

*Cannot be quantified

CA15-3 threshold

0.012

0.297

0.116

0.766

AP threshold

0.171

3.070

0.616

15.298

Response (RECIST 2 categories) vs

CTC count

0.405

27.561

0.011

67106.275

Univariate

Normalized continuous biomarker

cfDNA yield

0.035

15.917

1.223

207.106

CA15-3 levels

0.722

0.938

0.661

1.331

AP levels

0.139

1.611

0.856

3.031

CTC count

0.809

1.445

0.073

28.702

**Multivariate

cfDNA yield

0.055

12.481

0.946

164.576

CA15-3 levels

0.290

0.814

0.556

1.192

AP levels

0.212

1.575

0.771

3.215

  1. *Cannot be quantified as all patients in the group responding to treatment have low levels of cfDNA. No patients with high levels of cfDNA responding to treatment
  2. **Multivariate analysis represent the combination and analysis of all biomarkers (CTC count, cfDNA yield, CA15-3 levels and AP levels) together, as a joint analysis, to explore the possible interactions between them and how this interactions affects their effect on the clinical variables under study