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Table 1 Clinical characteristics of patients with NSCLC

From: Exploring non-invasive precision treatment in non-small cell lung cancer patients through deep learning radiomics across imaging features and molecular phenotypes

Characteristics

Cohort I

Cohort II

p value

Mutations

Training

Test

p value

Number

370 (72.8%)

138 (27.2%)

-

EGFR

  

0.203

Age (years)

  

∗

Mutant

130 (38.5%)

56 (38.6%)

 

mean ± SD

62.6 \( \pm \) 10.7

69.2 \( \pm \) 8.9

 

Wildtype

207 (61.5%)

89 (61.4%)

 

Gender

  

*

KRAS

  

0.081

Male

229 (61.9%)

102 (73.9%)

 

Mutant

34 (10.3%)

23 (16.3%)

 

Female

141 (38.1%)

36 (26.1%)

 

Wildtype

295 (89.7%)

118 (83.7%)

 

Smoking status

  

*

ALK

  

0.124

Smoker

178 (48.1%)

116 (84.1%)

 

Mutant

14 (4.2%)

13 (9.0%)

 

Nonsmoker

192 (51.9%)

22 (15.9%)

 

Wildtype

317 (95.8%)

130 (91.0%)

 

Tumor location

  

0.379

TP53

  

0.904

RUL

110 (29.7%)

50 (36.2%)

 

Mutant

62 (22.9%)

58 (58.0%)

 

RML

34 (9.2%)

12 (8.7%)

 

Wildtype

208 (77.1%)

42 (42.0%)

 

RLL

68 (18.4%)

21 (15.2%)

 

PIK3CA

  

0.083

LUL

110 (29.7%)

35 (25.4%)

 

Mutant

28 (10.8%)

19 (17.1%)

 

LLL

48 (13.0%)

20 (14.5%)

 

Wildtype

231 (89.2%)

92 (82.9%)

 

Risk factors

Training

Test

p  value

ROS1

  

0.101

LVI

  

0.792

Mutant

16 (6.6%)

10 (8.7%)

 

Present

114 (32.1%)

49 (32.0%)

 

Wildtype

240 (93.4%)

104 (91.3%)

 

Absent

241 (67.9%)

104 (68.0%)

 

Immune

Training

Test

p  value

PI

  

0.139

PD-1/PD-L1

  

0.059

Yes

224 (63.1%)

96 (62.7%)

 

Positive

63 (50.4%)

22 (40.0%)

 

No

131 (36.9%)

57 (37.3%)

 

Negative

62 (49.6%)

33 (60.0%)

 

T staging

  

0.612

    

T4

87 (24.5%)

37 (24.2%)

     

Other

268 (75.5%)

116 (75.8%)

     
  1. Data are presented as n (%), except where noted. * p value \( <\) 0.05.
  2. Abbreviations: LVI: lymphovascular invasion; PI, pleural invasion; EGFR: epidermal growth factor receptor; KRAS: kirsten rat sarcoma viral oncogene; ALK: anaplastic lymphoma receptor tyrosine kinase; TP53: tumor protein p53; PIK3CA: p110α catalytic subunit of PI3K; ROS1, c-ROS proto-oncogene 1; PD-1: programmed death 1 receptor; PD-L1: programmed death ligand 1