| Literature DB >> 36066505 |
Mengni Guo1, Jieying Liu1, Ruoyu Miao2, Zohaib Ahmed1, James Yu1, Jian Guan3, Sarfraz Ahmad4, Shuntai Zhou5, Angela Grove6, Manoucher Manoucheri1, Mark A Socinski6, Tarek Mekhail6.
Abstract
Immune checkpoint inhibitors (ICIs) can cause a variety of immune-related adverse events (irAEs). The coronavirus disease 2019 (COVID-19) is associated with increased amounts of pro-inflammatory cytokines, which may affect the outcome of irAEs. Data are limited regarding the impact of COVID-19 on irAEs in ICI-treated cancer patients. Hence, in this study, we retrospectively analyzed ICI-treated adult patients with malignant solid tumors at a single institution between August 2020 and August 2021. Patients who had the most recent ICI treatment over 1-month before or after the positive COVID-19 test were excluded from the study. For the COVID-19 positive group, only the irAEs that developed after COVID-19 infection were considered as events. A total of 579 patients were included in our study, with 46 (7.9%) in the COVID-19 positive group and 533 (92.1%) in the COVID-19 negative group. The baseline characteristics of patients in the 2 groups were similar. With a median follow-up of 331 days (range: 21-2226), we noticed a nonsignificant higher incidence of all-grade irAEs in the COVID-19 positive group (30.4% vs. 19.9%, P =0.18). The incidence of grade 3 and 4 irAEs was significantly higher in the COVID-19 positive group (10.9% vs. 3.2%, P =0.02). Multivariate analysis confirmed the association between COVID-19 infection and increased risk of severe irAE development (odds ratio: 1.08, 95% confidence interval: 1.02-1.14, P =0.01). Our study suggested that COVID-19 may pose a risk of severe irAEs in cancer patients receiving ICIs. Close monitoring and possibly delaying ICI administration could be considered when cancer patients are infected with COVID-19.Entities:
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Year: 2022 PMID: 36066505 PMCID: PMC9528807 DOI: 10.1097/CJI.0000000000000440
Source DB: PubMed Journal: J Immunother ISSN: 1524-9557 Impact factor: 4.912
FIGURE 1Flow diagram of the patient cohort. COVID-19 indicates coronavirus disease 2019; ICI, immune checkpoint inhibitor.
Basic Characteristics of Patients for the Entire Study Cohort
| Variable | COVID-19 Positive (n=46) | COVID-19 Negative (n=533) |
|
|---|---|---|---|
| Age, median (range), y | 67.5 (41–91) | 66 (18–98) | 0.18 |
| Sex, n (%) | — | — | 0.03 |
| Male | 15 (32.6) | 270 (50.7) | |
| Female | 31 (67.4) | 263 (49.3) | |
| Ethnicity, n (%) | — | — | 0.80 |
| White | 35 (76.1) | 390 (73.2) | |
| African American | 3 (6.5) | 62 (11.6) | |
| Other | 8 (17.4) | 81 (15.2) | |
| ECOG score, n (%) | 0.35 | ||
| 0–1 | 45 (97.8) | 495 (92.9) | |
| 2 and beyond | 1 (2.2) | 38 (7.1) | |
| Cancer type, n (%) | 0.62 | ||
| NSCLC | 16 (34.8) | 166 (31.1) | |
| Renal cell carcinoma | 3 (6.5) | 44 (8.2) | |
| Melanoma | 2 (4.3) | 40 (7.5) | |
| Urothelial cancer | 3 (6.5) | 30 (5.6) | |
| Head and neck cancer | 0 (0.0) | 27 (5.1) | |
| Hepatocellular carcinoma | 4 (8.7) | 27 (5.1) | |
| Small cell lung cancer | 1 (2.2) | 27 (5.1) | |
| Endometrial cancer | 5 (10.9) | 25 (4.7) | |
| Cervical cancer | 2 (4.3) | 20 (3.7) | |
| Breast cancer | 2 (4.3) | 17 (3.2) | |
| Uterine carcinoma | 3 (6.5) | 11 (2.1) | |
| Colorectal cancer | 1 (2.2) | 11 (2.1) | |
| Ovarian cancer | 1 (2.2) | 11 (2.1) | |
| Gastric cancer | 2 (4.3) | 10 (1.9) | |
| Esophageal cancer | 0 (0.0) | 10 (1.9) | |
| Lymphoma | 0 (0.0) | 8 (1.5) | |
| Prostate cancer | 0 (0.0) | 8 (1.5) | |
| Anal cancer | 0 (0.0) | 5 (0.9) | |
| Cholangiocarcinoma | 0 (0.0) | 4 (0.7) | |
| Others | 1* (2.2) | 32† (6.0) | |
| Type of ICI, n (%) | 0.42 | ||
| Pembrolizumab | 29 (63.0) | 326 (61.2) | |
| Atezolizumab | 5 (10.9) | 77 (14.4) | |
| Nivolumab | 6 (13.0) | 73 (13.7) | |
| Durvalumab | 3 (6.5) | 37 (6.9) | |
| Ipilimumab + Nivolumab | 3 (6.5) | 20 (3.8) |
Includes small cell carcinoma of the bladder.
Includes ampullary adenocarcinoma, carcinosarcoma, duodenal carcinoma, esophageal cancer, fallopian tube cancer, gallbladder cancer, glioblastoma multiforme, neuroendocrine carcinoma, metastatic cancer with unknown primary, mesothelioma, sarcoma, small cell carcinoma, thymic carcinoma, and vulvar squamous cell carcinoma.
ECOG indicates Eastern Cooperative Oncology Group; ICI, immune checkpoint inhibitor; NSCLC, non–small cell lung cancer.
Clinical Features of the Immune-related Adverse Events (irAEs) Between the Coronavirus Disease 2019 (COVID-19) Positive and COVID-19 Negative Groups of Patients
| Variables | irAE in COVID-19 Positive (n=14) | irAE in COVID-19 Negative (n=106) |
|
|---|---|---|---|
| Corticosteroid use, n (%) | 0.78 | ||
| Yes | 8 (57.1) | 60 (56.6) | |
| No | 6 (42.9) | 46 (43.4) | |
| Route of corticosteroid, n (%) | 1.00 | ||
| Intravenous | 1 (7.1) | 7 (6.6) | |
| Oral | 7 (50.0) | 46 (43.4) | |
| Use of additional immunosuppressant, n (%) | 1.00 | ||
| Yes | 0 (0.0) | 4* (3.8) | |
| No | 14 (100.0) | 102 (96.2) | |
| Time to irAE, median (range) | |||
| Treatment cycle | 6 (2–72) | 6 (1–56) | 0.54 |
| Days | 255.5 (48–1662) | 153.5 (7–1415) | 0.25 |
| Death related to irAE, n (%) | 1.00 | ||
| Yes | 0 (0.0) | 0 (0.0) | |
| No | 14 (100.0) | 106 (100.0) | |
Two patients with grade 3 colitis required infliximab treatment, 1 patient with grade 3 encephalitis and another patient with grade 3 Guillain-Barré Syndrome required intravenous immune globulin (IVIG) treatment.
Type and Grade of the Immune-related Adverse Events (irAEs) in Patients With or Without COVID-19 Infection
| Variables | Entire Cohort (n=579) | COVID-19 Positive Group (n=46) | COVID-19 Negative Group (n=533) |
|
|---|---|---|---|---|
| Total irAEs, n (%) | ||||
| All grades | 120 (20.7) | 14 (30.4) | 106 (19.9) | 0.18 |
| Grade 3/4 | 22 (3.8) | 5 (10.9) | 17 (3.2) | 0.02 |
| Type of irAE All grades, n (%) [grade 3/4, n (%)] | ||||
| Colitis/diarrhea | 20 (3.6)/4 (0.7) | 4 (8.7)/1 (2.2) | 16 (3.0)/3 (0.6) | 0.07/0.28 |
| Dermatitis/rash | 37 (6.4)/1 (0.2) | 3 (6.5)/0 (0.0) | 34 (6.4)/1 (0.2) | 1.00/1.00 |
| Hepatitis | 8 (1.4)/6 (1.0) | 2 (4.3)/2 (4.3) | 6 (1.1)/4 (0.8) | 0.13/0.08 |
| Pneumonitis | 7 (1.2)/2 (0.3) | 1 (2.2)/1 (2.2) | 6 (1.1)/1 (0.2) | 0.44/0.15 |
| Nephritis | 5 (0.9)/3 (0.5) | 1 (2.2)/1 (2.2) | 4 (0.8)/2 (0.4) | 0.34/0.22 |
| Hypothyroidism | 17 (2.9)/0 (0.0) | 1 (2.2)/0 (0.0) | 16 (3.0)/0 (0.0) | 1.00/1.00 |
| Adrenal insufficiency | 4 (0.7)/0 (0.0) | 1 (2.2)/0 (0.0) | 3 (0.6)/0 (0.0) | 0.28/1.00 |
| Ocular toxicity | 1 (0.2)/0 (0.0) | 1 (2.2)/0 (0.0) | 0 (0.0)/0 (0.0) | 0.08/1.00 |
| Arthritis/arthralgia | 7 (1.2)/0 (0.0) | 0 (0.0)/0 (0.0) | 7 (1.3)/0 (0.0) | 1.00/1.00 |
| Myositis/myalgia | 3 (0.5)/1 (0.2) | 0 (0.0)/0 (0.0) | 3 (0.6)/1 (0.2) | 1.00/1.00 |
| Encephalitis | 3 (0.5)/2 (0.3) | 0 (0.0)/0 (0.0) | 3 (0.6)/2 (0.4) | 1.00/1.00 |
| Pancreatitis | 1 (0.2)/0 (0.0) | 0 (0.0)/0 (0.0) | 1 (0.2)/0 (0.0) | 1.00/1.00 |
| Hematologic disorder | 1 (0.2)/1 (0.2) | 0 (0.0)/0 (0.0) | 1 (0.2)/1 (0.2) | 1.00/1.00 |
| Hyperthyroidism | 2 (0.3)/0 (0.0) | 0 (0.0)/0 (0.0) | 2 (0.4)/0 (0.0) | 1.00/1.00 |
| Hypophysitis | 1 (0.2)/0 (0.0) | 0 (0.0)/0 (0.0) | 1 (0.2)/0 (0.0) | 1.00/1.00 |
| Peripheral neuropathy | 1 (0.2)/0 (0.0) | 0 (0.0)/0 (0.0) | 1 (0.2)/0 (0.0) | 1.00/1.00 |
| GBS | 1 (0.2)/1 (0.2) | 0 (0.0)/0 (0.0) | 1 (0.2)/1 (0.2) | 1.00/1.00 |
| Pericarditis | 1 (0.2)/1 (0.2) | 0 (0.0)/0 (0.0) | 1 (0.2)/1 (0.2) | 1.00/1.00 |
COVID-19 indicates coronavirus disease 2019; GBS, Guillain-Barré syndrome.
Univariate and Multivariate Analyses for Risk Factors Associated With irAEs
| All-grade irAEs | ||||
|---|---|---|---|---|
| Univariate | Multivariate | |||
| Variate (Comparator) | OR (95% CI) |
| OR (95% CI) |
|
| Age ≥65 y | 0.94 (0.62–1.40) | 0.75 | — | — |
| Male sex | 1.63 (1.08–2.45) | 0.02 | 1.06 (0.99–1.13) | 0.11 |
| Cancer type (vs. breast cancer) | ||||
| Lung cancer | 2.34 (0.52–10.50) | 0.54 | — | — |
| Melanoma | 5.78 (1.18–28.33) | 0.20 | — | — |
| Renal cell carcinoma | 4.82 (0.99–23.42) | 0.20 | — | — |
| Gastrointestinal cancer | 1.01 (0.18–5.73) | 0.99 | — | — |
| Genitourinary cancer | 0.59 (0.11–3.31) | 0.63 | — | — |
| Hepatic cell carcinoma | 2.04 (0.37–11.33) | 0.63 | — | — |
| Head and neck cancer | 1.84 (0.32–10.69) | 0.63 | — | — |
| Other | 2.53 (0.50–12.67) | 0.54 | — | — |
| ECOG score ≥2 | 0.69 (0.28–1.68) | 0.41 | — | — |
| ICI type (vs. atezolizumab) | ||||
| Pembrolizumab | 1.5 (0.75–2.99) | 0.33 | 1.08 (0.98–1.19) | 0.12 |
| Nivolumab | 1.90 (0.84–4.34) | 0.26 | 1.09 (0.97–1.24) | 0.16 |
| Durvalumab | 1.61 (0.59–4.39) | 0.35 | 1.07 (0.92–1.25) | 0.40 |
| Ipilimumab + Nivolumab | 12.10 (4.16–35.20) | <0.0001 | 1.67 (1.39–2.01) | <0.0001 |
| COVID–19 infection | 1.58 (0.81–3.12) | 0.18 | — | — |
| Severe irAEs | ||||
| Age ≥65 y | 0.97 (0.94–1.00) | 0.08 | 0.98 (0.95–1.01) | 0.22 |
| Male sex | 1.03 (0.44–2.42) | 0.94 | — | — |
| Cancer type (vs. other types) | ||||
| Lung cancer | 1.14 (0.41–3.20) | 0.80 | — | — |
| Melanoma | 4.54 (1.41–14.63) | 0.03 | — | — |
| Renal cell carcinoma | 1.50 (0.31–7.27) | 0.80 | — | — |
| ECOG score ≥2 | 0.65 (0.09–4.07) | 0.68 | — | — |
| ICI type (vs. atezolizumab) | ||||
| Pembrolizumab | 0.84 (0.23–3.09) | 0.80 | 0.99 (0.95–1.04) | 0.75 |
| Nivolumab | 0.68 (0.11–4.21) | 0.80 | 0.99 (0.93–1.05) | 0.68 |
| Durvalumab | 1.39 (0.22–8.64) | 0.80 | 1.01 (0.94–1.09) | 0.69 |
| Ipilimumab + Nivolumab | 5.54 (1.14–26.87) | 0.12 | 1.14 (1.04–1.24) | 0.005 |
| COVID–19 infection | 3.70 (1.30–10.54) | 0.01 | 1.08 (1.02–1.14) | 0.01 |
A Benjamini-Hochberg P–value adjustment was done.
CI indicates confidence interval; COVID–19, Coronavirus disease 2019; ECOG, Eastern Cooperative Oncology Group; ICI, immune checkpoint inhibitor; irAEs, immune–related adverse events; OR, odds ratio.