Machine learning based on metabolomics unveils neutrophil extracellular trap-related metabolic signatures in non-small cell lung cancer patients undergoing chemoimmunotherapy

Table 1 The basic clinical information of enrolled non-small cell lung cancer patients

Variables	PD/SD, n = 62	CR/PR, n = 97	t/χ2/Z	P value
Age group			0.832	0.362
< 60 yr	34 (54.8)	46 (47.4)
≥ 60 yr	28 (45.2)	51 (52.6)
Sex			0.313	0.576
Female	11 (17.7)	14 (14.4)
Male	51 (82.3)	83 (85.6)
BMI	22 (16.02, 27.7)	22.39 (16.33, 29.69)	0.242	0.842
Histologic subtypes			2.586	0.108
Squamous carcinoma	33 (53.2)	64 (66.0)
Adenocarcinoma	29 (46.8)	33 (34.0)
Smoking index			1.451	0.237
< 400	20 (32.3)	23 (23.7)
≥ 400	42 (67.7)	74 (76.3)
PS scoring			0.477	0.788
0	10 (16.1)	19 (19.6)
1	50 (80.6)	76 (78.4)
2	2 (3.2)	2 (2.1)
T stage			1.685	0.641
1	2 (3.2)	8 (8.2)
2	18 (29.1)	25 (25.8)
3	11 (17.7)	17 (17.5)
4	31 (50)	47 (48.5)
N stage			0.319	0.956
0	2 (3.2)	4 (4.1)
1	12 (19.4)	21 (21.6)
2	26 (41.9)	41 (42.3)
3	22 (35.5)	31 (32.0)
M stage			1.994	0.425
0	13 (21.0)	18 (18.6)
1	49 (89.0)	45 (81.4)

Data are n (%). BMI: Body mass index; CR: Complete response; PD: Progressive disease; PR: Partial response; PS: Performance status; SD: Stable disease.