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Table 2 Uniplex and multiplex logistic regression model for biomarker performance to detect cancer using two biopsies

From: Validation of an epigenetic field of susceptibility to detect significant prostate cancer from non-tumor biopsies

  

Uniplex modeling

  

CG

Coefficient

Constant

O.R. (95% CI)

AUC

p value

C-7 Max

0.0365

− 1.365

1.037 (1.004–1.072)

0.613

0.020

C10 Max

0.0666

− 1.0824

1.069 (1.005–1.137)

0.632

0.035

E-1 Max

0.0784

− 3.196

1.082 (1.035–1.130)

0.710

0.001

E-2 Max

0.0633

− 2.11

1.065 (1.023–1.110)

0.696

0.002

E-3 Max

0.0543

− 2.7005

1.056 (1.025–1.087)

0.700

0.001

E-4 Max

0.0306

− 2.3534

1.031 (1.000–1.063)

0.621

0.048

E-5 Max

0.0481

− 2.7315

1.049 (1.011–1.089)

0.692

0.011

E-6 Max

0.0575

− 1.8742

1.059 (1.012–1.109)

0.642

0.014

F-3 Min

-0.0524

3.0835

0.949 (0.908–0.992)

0.641

0.021

N-2 Min

-0.1492

5.1864

0.861 (0.755–0.982)

0.616

0.026

P-1 Max

0.0471

− 1.6977

1.048 (1.006–1.093)

0.618

0.026

P-2 Max

0.1129

− 2.1638

1.120 (1.029–1.218)

0.643

0.009

P-3 Max

0.1181

− 1.654

1.125 (1.027–1.233)

0.653

0.012

P-4 Max

0.0314

− 1.5588

1.032 (1.007–1.058)

0.642

0.014

P-5 Max

0.1119

− 2.4409

1.118 (1.036–1.208)

0.658

0.004

S-1 Max

0.0605

− 1.3402

1.062 (1.004–1.124)

0.604

0.035

S-2 Max

0.0531

− 1.5709

1.055 (1.066–1.105)

0.639

0.026

  

Multiplex modeling

  

CpG from each locus

  

0.747

0.004

C-10 Max

0.0139

0.4058

1.014 (0.906–1.135)

  

E-1 Max

0.0534

0.4058

1.055 (0.998–1.115)

  

F-3 Min

− 0.0182

0.4058

0.982 (0.924–1.044)

  

N-2 Min

− 0.0975

0.4058

0.907 (0.785–1.048)

  

P-5 Max

0.0847

0.4058

1.088 (0.945–1.253)

  

S-2 Max

− 0.0242

0.4058

0.976 (0.895–1.064)

  
  1. C, CAV1; E, EVX1; F, FGF1; N, NCR2; P, PLA2G16; S, SPAG4; Max, maximal methylation value between the two biopsies; Min, minimal methylation value between the two biopsies; O.R., odds ratio; AUC, area under the curve value. Number after each letter represents the CG position tested