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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