Table 2.

Correlations between patient and genomic characteristics with the number of alterations.

		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).

^aCut-off of 66 years old corresponds to the median (Table 1).

^bThe 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