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©The Author(s) 2022.
World J Gastroenterol. Oct 21, 2022; 28(39): 5750-5763
Published online Oct 21, 2022. doi: 10.3748/wjg.v28.i39.5750
Published online Oct 21, 2022. doi: 10.3748/wjg.v28.i39.5750
Table 1 Baseline characteristics of patients with immune checkpoint inhibitor use
Clinical variables | All patients (n = 128) | Patients with IMC (n = 64) | Patients without IMC (n = 64) | P value | |||
Age, yr (mean ± SD)1 | 66.6 (± 11.5) | 67.4 (± 11.7) | 65.8 (± 11.3) | 0.420 | |||
Sex1 | |||||||
Male, n (%) | 74 | 57.81% | 37 | 57.81% | 37 | 57.81% | 1.000 |
Female, n (%) | 54 | 42.19% | 27 | 42.19% | 27 | 42.19% | |
Race | |||||||
White, n (%) | 102 | 79.69% | 52 | 81.25% | 50 | 78.13% | 0.660 |
Black, n (%) | 4 | 3.13% | 2 | 3.13% | 2 | 3.13% | 1.000 |
Asian, n (%) | 9 | 7.03% | 4 | 6.25% | 5 | 7.81% | 0.730 |
Type of malignancy1 | |||||||
Melanoma, n (%) | 66 | 51.56% | 33 | 51.56% | 33 | 51.56% | 1.000 |
RCC, n (%) | 15 | 11.72% | 8 | 12.50% | 7 | 10.94% | 0.783 |
NSCLC, n (%) | 12 | 9.38% | 6 | 9.38% | 6 | 9.38% | 1.000 |
Sarcoma, n (%) | 11 | 8.59% | 5 | 7.81% | 6 | 9.38% | 0.752 |
Head and neck SCC, n (%) | 7 | 5.47% | 3 | 4.69% | 4 | 6.25% | 0.697 |
Other, n (%) | 17 | 13.28% | 9 | 14.06% | 8 | 12.50% | 0.795 |
Stage IV malignancy, n (%) | 114 | 89.07% | 56 | 87.50% | 58 | 90.63% | 0.778 |
Type of immune checkpoint inhibitor1 | |||||||
Ipilimumab plus nivolumab, n (%) | 48 | 37.50% | 24 | 37.50% | 24 | 37.50% | 1.000 |
Ipilimumab, n (%) | 22 | 17.19% | 11 | 17.19% | 11 | 17.19% | 1.000 |
Nivolumab, n (%) | 12 | 9.38% | 6 | 9.38% | 6 | 9.38% | 1.000 |
Pembrolizumab, n (%) | 38 | 29.69% | 19 | 29.69% | 19 | 29.69% | 1.000 |
Atezolizumab, n (%) | 8 | 6.25% | 4 | 6.25% | 4 | 6.25% | 1.000 |
Number of Infusionsa (mean ± SD)1 | 6.91 (± 8.40) | 6.09 (± 7.20) | 7.73 (± 9.40) | 0.268 | |||
Dose of ICI (mg/kg) (mean ± SD) | 2.47 (± 1.30) | 2.63 (± 1.60) | 2.31 (± 1.00) | 0.318 | |||
Prior ICI use1 | 19 | 14.84% | 10 | 15.63% | 9 | 14.06% | 0.500 |
Medical history, n (%) | |||||||
Non-liver, non-upper GI diseaseb, n (%) | 28 | 21.88% | 18 | 28.13% | 10 | 15.63% | 0.087 |
Personal history of autoimmune diseaseb, n (%) | 30 | 23.44% | 20 | 31.25% | 10 | 15.63% | 0.037 |
Prior irAEb, n (%) | 8 | 12.50% | 7 | 10.90% | 1 | 1.56% | 0.062 |
Family history of autoimmune diseaseb, n (%) | 10 | 7.81% | 8 | 12.50% | 2 | 3.13% | 0.048 |
Prior immune-enhancing therapyb, n (%) | 11 | 8.59% | 2 | 3.13% | 9 | 14.06% | 0.027 |
Prior interferon-γ therapy, n (%) | 7 | 5.47% | 1 | 1.56% | 6 | 9.38% | 0.115 |
Vitamin D use, n (%) | 38 | 29.69% | 25 | 39.06% | 13 | 20.31% | 0.020 |
Smoking (current or prior), n (%) | 61 | 47.66% | 33 | 51.56% | 28 | 43.75% | 0.376 |
NSAID use, n (%) | 21 | 16.41% | 10 | 15.63% | 11 | 17.19% | 0.811 |
Any vaccine, n (%) | 25 | 19.53% | 9 | 14.06% | 16 | 25.00% | 0.119 |
Flu vaccine, n (%) | 19 | 14.84% | 7 | 10.94% | 12 | 18.75% | 0.214 |
Pneumonia vaccine, n (%) | 11 | 8.59% | 4 | 6.25% | 7 | 10.94% | 0.344 |
Other vaccine, n (%) | 2 | 1.56% | 1 | 1.56% | 1 | 1.56% | 1.000 |
Weight at start of ICI (kg) (mean ± SD) | 78.1 (± 17.4) | 79.4 (± 16.9) | 76.8 (± 17.9) | 0.396 | |||
Medications | |||||||
Steroid at start of ICI, n (%) | 20 | 15.63% | 11 | 17.19% | 9 | 14.06% | 0.626 |
Steroid duration (d) | N/A | 107.7 (± 164.2) | N/A | ||||
Infliximab use, n (%) | N/A | 10 | 15.63% | N/A | |||
Vedolizumab use, n (%) | N/A | 1 | 1.56% | N/A | |||
Malignancy outcomes | |||||||
Mean PFS (mo) | 12.8 (± 15.3) | 13.7 (± 14.9) | 11.9 (± 15.8) | 0.524 | |||
PFS > 6 mo, n (%) | 63 | 49.22% | 35 | 54.69% | 28 | 43.75% | 0.216 |
OS (mo) | 21.0 (± 18.9) | 24.3 (± 19.4) | 17.7 (± 18.0) | 0.050 | |||
OS > 12 mo, n (%) | 72.0 | 56.25% | 42 | 65.63% | 30 | 46.88% | 0.025 |
Death, n (%) | 20 | 15.63% | 6 | 9.38% | 14 | 21.88% | 0.051 |
Table 2 Univariate and multivariate predictors of overall survival > 12 mo among patients with malignancy using immune checkpoint inhibitor (n = 128)
Clinical variables | Univariate predictors | Multivariate predictors | ||||
OR | 95%CI | P value | OR | 95%CI | P value | |
Demographics | ||||||
Age (yr) | 1.00 | 0.97-1.03 | 0.970 | |||
Male | 0.92 | 0.45-1.87 | 0.822 | |||
Female | 1.08 | 0.53-2.20 | 0.822 | |||
Race | ||||||
White | 1.37 | 0.58-3.25 | 0.473 | |||
Black | 2.39 | 0.24-23.6 | 0.456 | |||
Asian | 0.97 | 0.25-3.79 | 0.965 | |||
Other | 0.45 | 0.14-1.45 | 0.181 | |||
Type of malignancy | ||||||
Melanoma | 0.87 | 0.43-1.74 | 0.688 | |||
RCC | 1.65 | 0.53-5.12 | 0.390 | |||
NSCLC | 2.52 | 0.65-9.80 | 0.181 | |||
Sarcoma | 0.15 | 0.03-0.72 | 0.018 | 0.17 | 0.03-0.95 | 0.043 |
Head and neck SCC | 1.04 | 0.22-4.84 | 0.961 | |||
Other | 1.50 | 0.52-4.35 | 0.453 | |||
Presence of IMC | 2.16 | 1.06-4.41 | 0.034 | 2.81 | 1.17-6.77 | 0.021 |
Presence of high grade IMC | 0.47 | 0.16-1.38 | 0.167 | |||
Stage IV malignancy | 0.48 | 0.14-1.61 | 0.233 | |||
Type of Immune Checkpoint Inhibitor | ||||||
Ipilimumab plus nivolumab | 1.32 | 0.30-5.77 | 0.714 | |||
Ipilimumab | 0.74 | 0.29-1.85 | 0.517 | |||
Nivolumab | 1.63 | 0.46-5.70 | 0.448 | |||
Pembrolizumab | 2.93 | 1.27-6.73 | 0.011 | 1.06 | 0.38-2.98 | 0.911 |
Atezolizumab | 1.32 | 0.30-5.77 | 0.714 | |||
Number of ICI infusionsa | 1.19 | 1.08-1.32 | 0.001 | 1.23 | 1.09-1.40 | 0.001 |
Dose of ICI (mg/kg) | 1.33 | 0.86-2.05 | 0.198 | |||
Prior ICI use | 0.51 | 0.19-1.37 | 0.183 | |||
Medical history | ||||||
Non-liver, non-upper GI diseaseb | 0.87 | 0.38-2.02 | 0.747 | |||
Personal history of autoimmune diseaseb | 1.47 | 0.63-3.40 | 0.373 | |||
Family history of autoimmune diseaseb | 1.03 | 0.32-4.41 | 0.804 | |||
Prior irAE | 2.84 | 0.31 - 25.9 | 0.356 | |||
Prior immune-enhancing therapyb | 0.62 | 0.18-2.15 | 0.454 | |||
Vitamin D use | 0.60 | 0.28-1.29 | 0.190 | |||
Smoking (current or prior) | 0.74 | 0.37-1.50 | 0.410 | |||
NSAID use | 1.04 | 0.41-2.69 | 0.928 | |||
Any vaccine | 0.36 | 0.14-0.89 | 0.026 | 1.03 | 0.16-6.70 | 0.972 |
Flu vaccine | 0.22 | 0.08-0.67 | 0.007 | 0.30 | 0.04-2.31 | 0.248 |
Pneumonia vaccine | 0.41 | 0.11-1.48 | 0.175 | |||
Other vaccine | 0.77 | 0.05-12.66 | 0.858 | |||
Weight at start of ICI (kg) | 0.99 | 0.97-1.01 | 0.207 | |||
Medications | ||||||
Steroid at start of ICI | 0.74 | 0.29-1.93 | 0.541 | |||
Steroid duration (d) | 1.00 | 0.997-1.01 | 0.368 | |||
Infliximab use | 0.76 | 0.21-2.77 | 0.226 | |||
Vedolizumab use | 1.00 | 0.99-1.01 | 1.000 |
Table 3 Univariate and multivariate predictors of overall survival > 12 mo among patients with immune checkpoint inhibitor colitis (n = 64)
Clinical variables | Univariate predictors | Multivariate predictors | ||||
OR | 95%CI | P value | OR | 95%CI | P value | |
Demographics | ||||||
Age (yr) | 0.96 | 0.92-1.01 | 0.103 | 0.93 | 0.88-0.99 | 0.023 |
Male | 0.82 | 0.29-2.32 | 0.711 | |||
Female | 1.22 | 0.43-3.44 | 0.711 | |||
Race | ||||||
White | 0.87 | 0.23-3.27 | 0.835 | |||
Black | 1.00 | 0.90-1.34 | 0.996 | |||
Asian | 0.54 | 0.07-4.10 | 0.550 | |||
Other | 1.07 | 0.97-1.11 | 0.912 | |||
Type of malignancy | ||||||
Melanoma | 1.26 | 0.45-3.51 | 0.654 | |||
RCC | 0.51 | 0.12-2.28 | 0.381 | |||
NSCLC | 0.53 | 0.10-2.85 | 0.456 | |||
Sarcoma | 2.38 | 0.25-22.65 | 0.451 | |||
Head and neck SCC | 1.05 | 0.89-1.10 | 0.865 | |||
Other | 5.33 | 0.62-45.68 | 0.127 | |||
Stage IV malignancy | 0.60 | 0.11-3.26 | 0.554 | |||
Presence of high grade IMC | 0.91 | 0.32-2.57 | 0.855 | |||
Type of immune checkpoint inhibitor | ||||||
Ipilimumab plus nivolumab | 0.95 | 0.31-2.88 | 0.922 | |||
Ipilimumab | 0.98 | 0.25-3.77 | 0.974 | |||
Nivolumab | 0.09 | 0.01-0.83 | 0.033 | 0.13 | 0.01-1.43 | 0.096 |
Pembrolizumab | 2.74 | 0.78-9.58 | 0.114 | 3.46 | 0.84-14.19 | 0.084 |
Atezolizumab | 1.74 | 0.17-17.73 | 0.641 | |||
Number of ICI infusionsa | 0.28 | 0.04-1.82 | 0.183 | |||
Dose of ICI (mg/kg) | 1.88 | 0.36-9.83 | 0.457 | |||
Prior ICI use | 0.46 | 0.12-1.80 | 0.265 | |||
Medical history | ||||||
Non-liver, non-upper GI diseaseb | 1.67 | 0.51-5.49 | 0.397 | |||
Personal history of autoimmune diseaseb | 0.78 | 0.26-2.31 | 0.648 | |||
Family history of autoimmune diseaseb | 0.93 | 0.20-4.29 | 0.922 | |||
Prior immune-enhancing therapyb | 0.55 | 0.03-9.23 | 0.678 | |||
Prior interferon-g therapy | 1.00 | 0.99-1.10 | 0.976 | |||
Vitamin D use | 2.45 | 0.80-7.46 | 0.116 | 2.77 | 0.75-10.20 | 0.124 |
Smoking (current or prior) | 1.66 | 0.59-5.65 | 0.334 | |||
NSAID use | 2.55 | 0.49-13.16 | 0.265 | |||
Any vaccine | 5.33 | 0.62-45.68 | 0.127 | |||
Flu vaccine | 1.46 | 0.26-8.19 | 0.668 | |||
Pneumonia vaccine | 1.00 | 0.99-1.05 | 0.995 | |||
Other vaccine | 1.00 | 1.00-1.01 | 0.941 | |||
Weight at start of ICI (kg) | 1.02 | 0.98-1.05 | 0.329 | |||
Medications | ||||||
Steroid at start of ICI | 0.98 | 0.25-3.77 | 0.974 | |||
Steroid duration (d) | 1.00 | 1.00-1.01 | 0.736 | |||
Infliximab use | 2.55 | 0.49-13.16 | 0.265 | |||
Vedolizumab use | 1.00 | 1.00-1.01 | 0.936 |
Table 4 Univariate and multivariate predictors of immune checkpoint inhibitor-mediated colitis among patients using immune checkpoint inhibitor (n = 128)
Clinical variables | Univariate predictors | Multivariate predictors | |||||
OR | 95%CI | P value | OR | 95%CI | P value | ||
Demographics | |||||||
Age (yr) | 1.01 | 0.98-1.04 | 0.417 | ||||
Male | 1.00 | 0.50-2.02 | 1.000 | ||||
Female | 1.00 | 0.50-2.02 | 1.000 | ||||
Race | |||||||
White | 1.21 | 0.51-2.88 | 0.661 | ||||
Black | 1.00 | 0.14-7.33 | 1.000 | ||||
Asian | 0.79 | 0.20-3.07 | 0.730 | ||||
Other | 0.84 | 0.27-2.66 | 0.770 | ||||
Type of malignancy | |||||||
Melanoma | 1.00 | 0.50-2.00 | 1.000 | ||||
RCC | 1.16 | 0.40-3.42 | 0.784 | ||||
NSCLC | 1.00 | 0.30-3.28 | 1.000 | ||||
Sarcoma | 0.82 | 0.24-2.83 | 0.753 | ||||
Head and neck SCC | 0.74 | 0.16-3.44 | 0.698 | ||||
Other | 1.15 | 0.41-3.18 | 0.795 | ||||
Stage IV malignancy | 0.72 | 0.24-2.22 | 0.572 | ||||
Type of Immune Checkpoint Inhibitor | |||||||
Ipilimumab plus nivolumab | 1.00 | 0.49-2.05 | 1.000 | ||||
Ipilimumab | 1.00 | 0.40-2.51 | 1.000 | ||||
Nivolumab | 1.00 | 0.30-3.28 | 1.000 | ||||
Pembrolizumab | 1.00 | 0.47-2.13 | 1.000 | ||||
Atezolizumab | 1.00 | 0.24-4.18 | 1.000 | ||||
Number of Infusionsa | 0.98 | 0.93-1.02 | 0.273 | ||||
Dose of ICI (mg/kg) | 1.23 | 0.82-1.84 | 0.327 | ||||
Medical History | |||||||
Non-liver, non-upper GIb | 2.11 | 0.89-5.03 | 0.091 | ||||
Autoimmune diseaseb | 2.45 | 1.04-5.78 | 0.040 | 1.87 | 0.74-4.74 | 0.186 | |
Prior irAE | 7.74 | 0.92-64.82 | 0.059 | ||||
Family history of autoimmune diseaseb | 4.43 | 0.90-21.74 | 0.067 | 3.98 | 0.74-21.38 | 0.107 | |
Prior immune-enhancing therapyb | 0.20 | 0.04-0.95 | 0.043 | 0.19 | 0.04-1.01 | 0.052 | |
Prior interferon-γ therapy | 0.15 | 0.018-1.31 | 0.087 | ||||
Vitamin D use | 2.51 | 1.14-5.54 | 0.022 | 2.48 | 1.01-6.07 | 0.047 | |
Smoking (current or prior) | 1.37 | 0.68-2.74 | 0.377 | ||||
NSAID use | 0.89 | 0.35-2.28 | 0.811 | ||||
Any vaccine | 0.49 | 0.20-1.21 | 0.123 | ||||
Flu vaccine | 0.53 | 0.19-1.45 | 0.219 | ||||
Pneumonia vaccine | 0.54 | 0.15-1.95 | 0.350 | ||||
Other vaccine | 1.00 | 0.06-16.34 | 1.000 | ||||
Weight at start of ICI (kg) | 1.01 | 0.99-1.03 | 0.393 |
- Citation: Weingarden AR, Gubatan J, Singh S, Balabanis TC, Patel A, Sharma A, Habtezion A. Immune checkpoint inhibitor-mediated colitis is associated with cancer overall survival. World J Gastroenterol 2022; 28(39): 5750-5763
- URL: https://www.wjgnet.com/1007-9327/full/v28/i39/5750.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i39.5750