Skip to main content

Table 1 Clinical characteristics of the retrospective cohort

From: Integration of tumor inflammation, cell proliferation, and traditional biomarkers improves prediction of immunotherapy resistance and response

 

NSCLC Patients

Melanoma

RCC

Patients (n = 110)

All Case (n = 78)

Pre-ipi approval (n = 4)

Post-ipi approval (n = 74)

ICI Treated (n = 54)

Age at initial diagnosis (years)

  < 30

1 (0.9%)

    

30–39

 

7 (9.0%)

1 (25.0%)

6 (8.1%)

1 (1.9%)

40–49

3 (2.7%)

14 (17.9%)

1 (25.0%)

13 (17.6%)

6 (11.1%)

50–59

26 (23.6%)

13 (16.7%)

1 (25.0%)

12 (16.2%)

21 (38.9%)

60–69

41 (37.3%)

19 (24.4%)

1 (25.0%)

18 (24.3%)

16 (29.6%)

70–79

30 (27.3%)

18 (23.1%)

 

18 (24.3%)

10 (18.5%)

  ≥ 80

9 (8.2%)

7 (9.0%)

 

7 (9.5%)

 

Mean

65.4

60.6

48

61.3

59.5

Year of diagnosis (Range)

2007–2017

1990–2016

2004–2009

1990–2016

1981–2016

Sex

Female

58 (52.7%)

26 (33.3%)

2 (50.0%)

24 (32.4%)

14 (25.9%)

Male

52 (47.3%)

52 (66.7%)

2 (50.0%)

50 (67.6%)

40 (74.1%)

Race

White

91 (82.7%)

78 (100.0%)

4 (100.0%)

74 (100.0%)

41 (75.9%)

Other

14 (12.7%)

   

7 (13.0%)

Unknown

5 (4.5%)

   

6 (11.1%)

Vital status at last follow up

Alive

55.00 (50.0%)

46.00 (59.0%)

2.00 (50.0%)

44.00 (59.5%)

31.00 (57.4%)

Dead

55.00 (50.0%)

32.00 (41.0%)

2.00 (50.0%)

30.00 (40.5%)

23.00 (42.6%)

Checkpoint inhibitor

atezolizumab

2 (1.8%)

    

ipilimumab

 

35 (44.9%)

3 (75.0%)

32 (43.2%)

 

ipilimumab + nivolumab

2 (1.8%)

10 (12.8%)

1 (25.0%)

9 (12.2%)

 

nivolumab

71 (64.5%)

2 (2.6%)

 

2 (2.7%)

54 (100.0%)

pembrolizumab

35 (31.8%)

31 (39.7%)

 

31 (41.9%)

 

Months of follow up

  < 1

48 (43.6%)

   

21 (38.9%)

3

6 (5.5%)

1 (1.3%)

 

1 (1.4%)

1 (1.9%)

6

17 (15.5%)

12 (15.4%)

 

12 (16.2%)

5 (9.3%)

10

22 (20.0%)

15 (19.2%)

 

15 (20.3%)

14 (25.9%)

  > 10

17 (15.5%)

50 (64.1%)

4 (100.0%)

46 (62.2%)

13 (24.1%)

Median

8

12.5

63

12

10