Table 2.

Correlations between patient and genomic characteristics with the number of alterations

UnivariableMultivariable
VariablesNo. of alterations median, (95% CI)PB coef.t-statisticaP
Smoking statusb0.0300.8651.7540.083
 Yes (N = 50)2 (2–3)
 No (N = 36)1.5 (1–3)
Gender0.643
 Women (N = 58)2 (1–3)
 Men (N = 30)2 (1–3)
Age at diagnosisc0.232
 ≤66 years old (N = 41)2 (1–3)
 >66 years old (N = 47)2 (1–3)
TP53 alteration(s) detected0.0011.5993.2680.002
 Yes (N = 39)3 (2–4)
 No (N = 49)1 (1–2)
EGFR alteration(s) detected0.113
 Yes (N = 24)3 (2–4)
 No (N = 64)2 (1–2)
MET alteration(s) detected0.0011.6332.3460.021
 Yes (N = 13)3 (3–6)
 No (N = 75)2 (1–2)
Brain metastasis0.195
 Yes (N = 34)2.5 (2–3)
 No (N = 54)2 (1–2)
Bone metastasis0.843
 Yes (N = 42)2 (2–3)
 No (N = 46)1.5 (1–2)
Liver metastasis0.831
 Yes (N = 19)2 (1–4)
 No (N = 69)2 (1.5–3)
Lymph node metastasis0.107
 Yes (N = 45)2 (2–3)
 No (N = 43)2 (1–2)
  • NOTE: Only variables with N > 10 patients with the alteration were included. Variables with P ≤ 0.05 in the univariable analysis were included in the multivariable model. P values were calculated using linear regression models (univariable and multivariable analyses).

  • aThe t-statistic is the ratio of the B coefficient and the standard error; the higher the value, the greater is the importance of the variable in the model. 95% CI, 95% confidence interval.

  • bNo smoking history available for 2 patients.

  • cCutoff of 66 years old corresponds to the median (Table 1).