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. 2018 Oct 25;17(1):141–148. doi: 10.3892/ol.2018.9620

Table I.

Correlation between DENR expression and clinicopathological features of patients with nine common cancer types.

DENR expression

Type of cancer Characteristic Case (n) High (n) Low (n) χ2 value P-value
Hepatocellular carcinoma (primary data from GSE14520) AFP (ng/ml−1)
  >300 100 69 31 25.407 <0.001
  ≤300 118 41 77
AJCC TNM stage
  I 93 41 52 6.005 0.049
  II 77 37 40
  III 39 32 17
CLIP stage
  0 97 33 64 18.308 <0.001
  1 74 47 27
  2–5 48 30 18
Gastric cancer (primary data from GSE15459) Lauren classification
  Diffuse 75 29 46 6.348 0.041
  Mixed 99 57 42
  Intestinal 18 10 8
Subtype
  Invasive 51 28 23 55.099 <0.001
  Metabolic 40 2 28
  Unstable 70 54 16
  Proliferative 31 12 19
Lung cancer (primary data from GSE30219) AJCC T stage
  I 166 68 98 11.694 0.008
  II 69 42 27
  III 31 20 11
  IV 21 12 9
Lymph node metastasis
  Positive 93 63 30 16.878 <0.001
  Negative 208 83 115
Breast invasive carcinoma (primary data from TCGA) Age/year
  ≤65 759 357 402 8.461 0.004
  >65 319 181 138
AJCC T stage
  T1 279 126 153 13.487 0.004
  T2 633 340 293
  T3 138 56 82
  T4 40 25 15
AJCC N stage
  N0 515 253 262 9.324 0.025
  N1 361 173 188
  N2 120 75 45
  N3 77 34 43
Kidney chromophobe carcinoma (primary data from TCGA) AJCC TNM stage
  I–III 60 27 33 6.600 0.010
  IV 6 6 0
Rectal adenocarcinoma (primary data from TCGA) AJCC T stage
  T1 4 3 1 9.423 0.024
  T2 13 9 4
  T3 65 34 31
  T4 10 1 9
Pancreatic adenocarcinoma (primary data from TCGA) Sex
  Male 98 60 38 10.989 <0.001
  Female 80 29 51
Head and neck carcinoma and vulvar carcinoma Clinicopathological feature data for head and neck cancer and vulvar cancer in public databases were either non-significant or not available.

Data analysed by Chi-square test. DENR, density-regulated re-initiation and release factor; AFP, α-fetoprotein; AJCC, American Joint Committee on Cancer; CLIP, Cancer of the Liver Italian Program; TNM, tumour-node-metastases; T, tumour; N, lymph node; n, number of samples; TCGA, The Cancer Genome Atlas.