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Table 1 Clinical information of patients in stage 3–4 TCGA-NSCLC cohort

From: Machine learning and bioinformatics analysis revealed classification and potential treatment strategy in stage 3–4 NSCLC patients

Characteristics (N = 195) No. cases
Age  
age <  = 65 89
age > 65 105
NA 1
Pathologic_M  
M0 131
M1 22
M1a 3
M1b 6
NA 33
Pathologic_N  
N0 30
N1 46
N2 107
N3 7
NA 5
Pathologic_T  
T1 12
T1a 5
T1b 3
T2 65
T2a 15
T2b 6
T3 47
T4 39
NA 3
Gender  
female 77
male 118
Stage  
Stage 3 3
Stage 3a 132
stage 3b 28
stage iv 32
Type  
LUAD 105
LUSC 90