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Table 1 Characteristic of the investigated cohorts of testicular cancer patients

From: Biological and therapeutic implications of sex hormone-related gene clustering in testicular cancer

Variablea

TCGA

GSE99420

Significanceb

Effect sizeb

Age

31 [IQR: 26—37]

range: 14—67

complete: n = 133

   

Race/Ethnicity

Asian: 3.1% (4)

Black or African American: 4.7% (6)

White: 92% (118)

complete: n = 128

   

Tumor stage

I: 84% (102)

II: 9% (11)

III: 7.4% (9)

complete: n = 122

   

Metastasis stage

M0: 97% (114)

M1: 3.4% (4)

complete: n = 118

   

Node stage

N0: 79% (46)

N1: 17% (10)

N2: 3.4% (2)

complete: n = 58

   

IGCCCG

good: 74% (32)

intermediate: 21% (9)

poor: 4.7% (2)

complete: n = 43

   

Histology

seminoma: 43% (62)

NSGCT: 57% (82)

complete: n = 144

seminoma: 50% (30)

NSGCT: 50% (30)

complete: n = 60

ns (p = 0.45)

V = 0.064

Histology, ICD-O

seminoma: 49% (65)

germinal mixed histology: 20% (27)

benign teratoma: 3.8% (5)

embryonal carcinoma: 20% (27)

malignant teratoma: 2.3% (3)

teratocarcinoma: 1.5% (2)

yolk sac cancer: 3% (4)

complete: n = 133

   

Marker status

S0: 36% (43)

S1: 31% (37)

S2: 29% (34)

S3: 4.2% (5)

complete: n = 119

   

Neoadjuvant therapy

no: 100% (133)

complete: n = 133

   

Radiation

16% (21)

complete: n = 130

   

Follow-up, months

1300 [IQR: 680—2700]

range: 3—7400

complete: n = 133

   

Death

3% (4)

complete: n = 133

   

Relapse

25% (33)

complete: n = 133

50% (30)

complete: n = 60

p = 0.002

V = 0.25

Progression

26% (34)

complete: n = 133

   
  1. aIGCCCG International Germ Cell Cancer Collaborative Group risk strata, ICD-0 International classification of diseases for oncology, histological subtype
  2. bNumeric variables: Kruskal–Wallis test with η2 effect size statistic. Categorical variables: χ2 test with Cramer‘s V effect size statistic. P values corrected for multiple testing with the false discovery rate method
  3. Numeric variables are presented as medians with interquartile ranges and ranges. Qualitative variables are shown as percentages and counts of the categories within the complete observation set