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Table 1 Univariate analysis and multivariate analysis cox regression in TCGA GC cohort

From: Machine learning to establish three sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with gastric cancer

Characteristics

Total(N)

Univariate analysis

Multivariate analysis

Hazard ratio (95% CI)

P value

Hazard ratio (95% CI)

P value

Age

367

1.022 (1.005–1.039)

0.009

1.037 (1.017–1.057)

< 0.001

Histologic grade

361

    

G1

10

Reference

   

G2

134

1.648 (0.400–6.787)

0.489

  

G3

217

2.174 (0.535–8.832)

0.278

  

Gender

370

    

Female

133

Reference

   

Male

237

1.267 (0.891–1.804)

0.188

  

Stage I

50

Reference

 

Reference

 

Stage II

110

1.551 (0.782–3.078)

0.209

1.529 (0.516–4.528)

0.443

Stage III

149

2.381 (1.256–4.515)

0.008

1.487 (0.360–6.139)

0.583

Stage IV

38

3.991 (1.944–8.192)

< 0.001

3.317 (0.764–14.410)

0.110

Pathologic T stage

362

    

T1

18

Reference

 

Reference

 

T2

78

6.725 (0.913–49.524)

0.061

3.606 (0.451–28.806)

0.226

T3

167

9.548 (1.326–68.748)

0.025

4.013 (0.449–35.894)

0.214

T4

99

9.634 (1.323–70.151)

0.025

3.851 (0.417–35.570)

0.235

Pathologic N stage

352

    

N0

107

Reference

 

Reference

 

N1

97

1.629 (1.001–2.649)

0.049

1.220 (0.600–2.480)

0.583

N2

74

1.655 (0.979–2.797)

0.060

1.447 (0.607–3.449)

0.404

N3

74

2.709 (1.669–4.396)

< 0.001

1.847 (0.779–4.376)

0.163

Pathologic M stage

352

    

M0

327

Reference

 

Reference

 

M1

25

2.254 (1.295–3.924)

0.004

1.255 (0.537–2.936)

0.600

GLA

370

0.799 (0.615–1.039)

0.094

0.786 (0.556–1.109)

0.170

LAMC1

370

1.226 (1.047–1.435)

0.011

1.296 (1.089–1.543)

0.004

TRAF2

370

0.768 (0.590–0.999)

0.049

0.771 (0.541–1.098)

0.150