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Table 6 Cox-regression models assessing the potential of clinical variables and detection of circulating APCme, FOXA1me, HOXD3me, RASSF1Ame, SEPT9me, SOX17me and prognostic panel (APCme, RASSF1Ame) in the prediction of disease-specific mortalityin LC patients

From: Early detection of the major male cancer types in blood-based liquid biopsies using a DNA methylation panel

Disease-Specific Mortality

Variable

HR

95% CI for HR

P value

Univariable

Regional node (N)

   

N0 vs N+

4.067

1.827-9.051

0.001

Distant Metastasis (M)

   

M0 vs M+

3.320

1.897-5.809

<0.0001

Clinical Stage

   

I&II vs III&IV

5.594

2.012-15.549

0.001

Histological Subtype

   

NSCLC vs SCLC

2.098

1.153-3.819

0.015

APCme

   

Negative vs positive

2.800

1.634-4.800

<0.0001

FOXA1me

   

Negative vs positive

1.716

1.027-2.867

0.039

HOXD3me

   

Negative vs positive

1.666

0.982-2.828

0.058

RASSF1Ame

   

Negative vs positive

2.669

1.529-4.660

0.001

SEPT9me

   

Negative vs positive

2.011

1.130-3.579

0.018

SOX17me

   

Negative vs positive

1.696

0.991-2.902

0.054

 

APCme / RASSF1Ame

  

<0.0001

 

Both negative vs One positive

2.582

1.428-4.671

0.002

 

Both negative vs Both Positive

3.958

1.967-7.965

<0.0001

Multivariable

Clinical Stage

   
 

I&II vs III&IV

5.014

1.781-14.114

0.002

 

APCme / RASSF1Ame

  

<0.0001

 

Both negative vs One positive

1.992

1.100-3.608

0.023

 

Both negative vs Both positive

3.918

1.935-7.933

<0.0001