Table 2.
Univariable | Multivariable | ||||
---|---|---|---|---|---|
| |||||
Variables | No. alterations median, (95% CI) | P-value | B coef. | t-statisticb | P-value |
| |||||
Smoking status* | 0.030 | 0.865 | 1.754 | 0.083 | |
YES (N=50) | 2 (2–3) | ||||
NO (N=36) | 1.5 (1–3) | ||||
| |||||
Gender | 0.643 | — | — | — | |
Women (N=58) | 2 (1–3) | ||||
Men (N=30) | 2 (1–3) | ||||
| |||||
Age at diagnosisa | 0.232 | — | — | — | |
≤ 66 years old (N=41) | 2 (1–3) | ||||
> 66 years old (N=47) | 2 (1–3) | ||||
| |||||
TP53 alteration(s) detected | 0.001 | 1.599 | 3.268 | 0.002 | |
YES (N=39) | 3 (2–4) | ||||
NO (N=49) | 1 (1–2) | ||||
| |||||
EGFR alteration(s) detected | 0.113 | — | — | — | |
YES (N=24) | 3 (2–4) | ||||
NO (N=64) | 2 (1–2) | ||||
| |||||
MET alteration(s) detected | 0.001 | 1.633 | 2.346 | 0.021 | |
YES (N=13) | 3 (3–6) | ||||
NO (N=75) | 2 (1–2) | ||||
| |||||
Brain metastasis | 0.195 | — | — | — | |
YES (N=34) | 2.5 (2–3) | ||||
NO (N=54) | 2 (1–2) | ||||
| |||||
Bone metastasis | 0.843 | — | — | — | |
YES (N=42) | 2 (2–3) | ||||
NO (N=46) | 1.5 (1–2) | ||||
| |||||
Liver metastasis | 0.831 | — | — | — | |
YES (N=19) | 2 (1–4) | ||||
NO (N=69) | 2 (1.5–3) | ||||
| |||||
Lymph node metastasis | 0.107 | — | — | — | |
YES (N=45) | 2(2–3) | ||||
NO (N=43) | 2 (1–2) |
Only variables with N > 10 patients with the alteration were included. Variables with P-values ≤ 0.05 in the univariable analysis were included in the multivariable model. P-values were calculated using linear regression models (univariable and multivariable analyses).
Cut-off of 66 years old corresponds to the median (Table 1).
The 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.
No smoking history available for two patients