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Table 4 Glycolysis-related gene risk model for predicting READ prognosis

From: A glycolysis-related two-gene risk model that can effectively predict the prognosis of patients with rectal cancer

Cancer type

Gene

β (coef)

HR

95% CI

P value

COAD

ANKZF1

0.543

1.722

0.972–3.049

0.062

 

STC2

0.257

1.293

1.030–1.624

0.027

 

SUCLG2P2

 − 2.124

0.120

0.035–0.407

0.001

 

P4HA1

0.359

1.432

1.013–2.025

0.042

 

GPC1

0.326

1.385

1.040–1.843

0.026

 

PCK1

 − 0.256

0.774

0.632–0.950

0.014

 

\({\text{Risk}}\;{\text{model}}\;{\text{formula}} = \mathop \sum \nolimits_{i = 1}^{n} {\text{expression }}\;{\text{of }}Gi \times \beta i\) = expression of ANKZF1 × 0.543 + expression of STC2 × (0.257) + expression of SUCLG2P2 × (− 2.124) + expression of P4HA1 × (0.359) + expression of GPC1 × (0.326) + expression of PCK1 × (− 0.256)

Cancer type

Gene

β (coef)

HR

95% CI

P value

READ

TSTA3

0.752

2.121

1.067–4.218

0.032

 

PKP2

 − 0.725

0.484

0.274–0.856

0.013

 

\(\mathop {{\text{Risk}}\;{\text{model}}\;{\text{formula}} = \sum }\nolimits_{i = 1}^{n} {\text{expression}}\;{\text{of}}\;Gi \times \beta i\) = expression of TSTA3 × 0.752 + expression of PKP2 × (− 0.725)