Skip to main content

Table 3 Univariate and Multivariate Cox regression analysis of the GIlncSig in different cohorts

From: Calculated identification of mutator-derived lncRNA signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer

Variables

Univariable model

Multivariable model

HR

95%CI

P-value

HR

95%CI

P-value

Training cohort (n = 203)

 Age

(> 65)/ (≤ 65)

2.082

0.788–5.503

0.139

   

 Gender

Male/female

0.918

0.388–2.174

0.846

   

 T

(T3–4)/T2

1.884

0.648–5.475

0.244

   

 M

M1/M0

2.280

0.530–9.813

0.357

   

 N

(N1–3)/N0

2.743

1.285–5.854

0.009

2.244

1.019–4.940

0.045

 Risk score

High/low

1.625

1.314–2.009

 < 0.001

1.541

1.238–1.918

 < 0.001

Testing cohort (n = 200)

 Age

(> 65)/ (≤ 65)

1.458

0.697–3.051

0.317

   

 Gender

Male/female

0.454

0.217–0.948

0.037

0.510

0.241–1.079

0.078

 T

(T3–4)/T2

2.673

1.023–6.988

0.045

   

 M

M1/ M0

2.427

0.574–10.273

0.228

   

 N

(N1–3)/N0

1.935

0.945–3.959

0.071

   

 Risk score

High/low

1.980

1.338–2.931

 < 0.001

1.910

1.266–2.882

0.002

TCGA cohort (n = 403)

 Age

(> 65)/(≤ 65)

1.629

0.915–2.901

0.098

   

 Gender

Male/female

0.635

0.364–1.108

0.109

   

 T

(T3–4)/T2

2.197

1.078–4.480

0.030

   

 M

M1/ M0

2.108

0.759–5.856

0.152

   

 N

(N1–3)/N0

2.222

1.325–3.725

0.002

1.657

0.932–2.944

0.085

 Risk score

High/low

1.563

1.344–1.817

 < 0.001

1.489

1.274–1.739

 < 0.001

Back to article page

Cancer Cell International

ISSN: 1475-2867

Contact us