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Table 1 Clinicopathological details of 90 NSCLC patients

From: Molecular binary classification of NSCLC: miR-375 is a potential biomarker to differentiate SQCC from ADCC in Indian NSCLC patients

Clinicopathological features

Total samples, n = 90

n (%)

ADCC (%)

SQCC (%)

P Value

Total

 

90(100)

44 (48.9)

46 (51.1)

 

Age

Median age (range)

61(34–85)

60 (38–77)

62.5 (34–85)

≥60

50 (55.6)

23 (52.3)

27 (58.7)

0.54

<60

40 (44.4)

21 (47.7)

19 (41.3)

Gender

Male

71 (78.9)

30 (68.2)

41 (89.1)

0.023

Female

19 (21.1)

14 (31.8)

5 (10.9)

Differentiation gradea

PD

44 (48.8)

21 (47.7)

23 (50)

0.827

MD

33 (36.7)

17 (38.6)

16 (34.8)

WD

14 (15.5)

6 (13.6)

7 (15.2)

Training Set

Number of cases

30 (100)

15 (50)

15 (50)

0.361

Male

24 (80)

11 (73.3)

13 (86.7)

Female

6 (20)

4 (26.7)

2 (13.3)

Differentiation grade

PD

13 (43.3)

8 (53.3)

5 (33.3)

0.47

MD

11 (36.7)

4 (26.7)

7 (46.7)

WD

6 (20)

3 (20)

3 (20)

Validation set

Number of cases

60 (100)

29 (48.3)

31 (51.7)

 

Male

47 (78.3)

19 (65.5)

28 (90.3)

0.02

Female

13 (21.7)

10 (34.5)

3 (9.7)

Differentiation grade

PD

31 (51.7)

13 (44.8)

18 (58)

 

MD

22 (36.7)

13 (44.8)

9 (29)

0.99

WD

7 (11.6)

3 (10.4)

4 (13)

 
  1. a PD poorly differentiated, MD moderately differentiated, WD well differentiated
  2. Bold data signify the p< 0.05