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Table 2 Glioma samples’ relevance among 7-gene-based risk-score and clinicopathological elements in two databases. The training and testing RNA-seq set come from the TCGA and CGGA database. Ns: no significance; Bold type statistics show a significant difference (P < 0.05)

From: Identification of an endoplasmic reticulum stress-related signature associated with clinical prognosis and immune therapy in glioma

Training set RNA-seq cohort (n = 661)

 

Low-risk score

High- risk score

 

Features

n = 333

n = 332

P- value

Age

  ≤ 65

316

259

< 0.0001

 >65

16

70

 

Gender

 Male

180

202

ns

 Female

152

127

 

Grader

 LGG

328

175

< 0.0001

 GBM

4

154

 

Vital status

 Alive

48

171

< 0.0001

 Dead

284

158

 

Testing set RNA-seq cohort(n = 465)

 

Low-risk score

High- risk score

 

Features

n = 165

n = 115

P- value

Age

  ≤ 65

189

255

< 0.05

 >65

3

18

 

Gender

 Male

102

164

ns

 Female

90

109

 

Grader

 LGG

164

135

< 0.0001

 GBM

28

138

 

Vital status

 Alive

125

76

< 0.0001

 Dead

67

197

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