| Literature DB >> 33303577 |
Chen Shen1,2, Qianru Li1, Yongchang Wei3, Yuting Li4, Jun Li5, Juan Tao6,7.
Abstract
The COVID-19 outbreak caused by SARS-CoV-2 challenges the medical system by interfering with routine therapies for many patients with chronic diseases. In patients with cancer receiving immune checkpoint inhibitors (ICIs), difficulties also arise from the incomplete understanding of the intricate interplay between their routine treatment and pathogenesis of the novel virus. By referring to previous ICI-based investigations, we speculate that ICIs themselves are not linked to high-infection risks of respiratory diseases or inflammation-related adverse effects in patients with cancer. Moreover, ICI treatment may even enhance coronavirus clearance in some patients with malignant tumor by boosting antiviral T-cell responsiveness. However, the 'explosive' inflammation during COVID-19 in some ICI-treated patients with cancer was illustrated as exuberant immunopathological damage or even death. In case of the COVID-19 immunopathogenesis fueled by ICIs, we propose a regular monitor of pathogenic T-cell subsets and their exhaustion marker expression (eg, Th17 and interleukin (IL)-6-producing Th1 subsets with surface programmed death 1 expression) to guide the usage of ICI. Here we aimed to address these considerations, based on available literature and experience from our practice, that may assist with the decision-making of ICI administration during the pandemic. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: biomarkers; immunotherapy; inflammation; tumor
Year: 2020 PMID: 33303577 PMCID: PMC7733227 DOI: 10.1136/jitc-2020-001593
Source DB: PubMed Journal: J Immunother Cancer ISSN: 2051-1426 Impact factor: 13.751
Incidence and mortality rate of ICI-related pneumonia and pneumonitis (including ARDS) for patients with cancer
| Agent (target) | Tumor type | Treated patients(n) | Patients, n (%) | Reference | ||||
| Pneumonia | Pneumonia-associated death | All-grade pneumonitis | Pneumonitis-associated death | ARDS | ||||
| Nivolumab (PD-1) | Melanoma | 313 | 2 (0.6%) | NA | 5 (1.6%) | NA | NA | Hodi FS, et al. |
| 206 | NA | NA | 3 (1.5%) | NA | NA | Robert C, | ||
| 268 | NA | NA | 5 (1.9%) | NA | NA | Weber JS, et al. | ||
| NSCLC | 287 | 17 (5.9%) | NA | 8 (2.8%) | NA | NA | Borghaei H, | |
| 391 | NA | NA | 9 (2.3%) | 1 (0.3%) | NA | Hellmann MD, | ||
| 131 | NA | NA | 6 (4.6%) | NA | NA | Brahmer J, | ||
| HNSCC | 236 | 10 (4.2%) | NA | 5 (2.1%) | 1 (0.4%) | NA | Ferris RL, | |
| Pembrolizumab (PD-1) | Melanoma | 277 | NA | NA | 5 (1.8%) | NA | NA | Robert C, |
| 357 | NA | NA | 3 (0.8%) | NA | NA | Ribas A, | ||
| 277 | NA | NA | 3 (1.1%) | NA | NA | Schachter J, et al. | ||
| NSCLC | 339 | 5 (1.5%) | 1 (0.3%) | 16 (4.7%) | 2 (0.6%) | NA | Herbst RS, et al. Lancet 2016;387:1540–50. | |
| 636 | NA | NA | 43 (6.8%) | 1 (0.2%) | NA | Mok TSK, et al. | ||
| 550 | NA | NA | 10 (1.8%) | NA | NA | Leigh NB, et al. | ||
| 154 | NA | NA | 12 (7.8%) | 1 (0.6%) | NA | Reck M, | ||
| 154 | NA | NA | 9 (5.8%) | NA | NA | Reck M, | ||
| Urothelial Cancer | 370 | 1 (0.3%) | 1 (0.3%) | 5 (1.4%) | NA | NA | Balar AV, et al. | |
| Urothelial carcinoma | 266 | NA | NA | 11 (4.1%) | 1 (0.4%) | NA | Bellmunt J, | |
| Gastric cancer | 294 | NA | NA | 8 (2.7%) | NA | NA | Shitara K, et al. | |
| Atezolizumab (PD-L1) | NSCLC | 142 | 4 (3%) | NA | 4 (3%) | NA | NA | Fehrenbacher L, et al. |
| 609 | NA | NA | 6 (1%) | NA | NA | Rittmeyer A, et al. | ||
| Ipilimumab (CTLA-4) | Melanoma | 311 | NA | NA | 5 (1.6%) | NA | NA | Hodi FS, et al. |
| 256 | NA | NA | 1 (0.4%) | NA | NA | Robert C, | ||
| Prostate cancer | 393 | 24 (6%) | 1 (0.3%) | 5 (1.3%) | NA | NA | Kwon ED, et al. | |
| Tremelimumab (CTLA-4) | Malignant mesothelioma | 380 | 18 (4.7%) | 1 (0.3%) | 3 (0.8%) | NA | 1 (0.3%) | Maio M, et al. |
| Melanoma | 325 | 1 (0.3%) | 1 (0.3%) | NA | NA | NA | Ribas A, | |
| Ipilimumab+nivolumab (CTLA-4+PD-1) | Melanoma | 313 | NA | NA | 23 (7.3%) | NA | NA | Hodi FS, et al. |
| 313 | NA | NA | 22 (7%) | NA | NA | Wolchok JD, | ||
| 94 | 1 (1%) | NA | 9 (10%) | 1 (1%) | NA | Hodi FS, et al. | ||
| NSCLC | 39 | 1 (2.6%) | NA | 2 (5.1%) | NA | NA | Hellmann MD, et al. | |
| 576 | NA | NA | 22 (3.8%) | 3 (0.5%) | NA | Hellmann MD, | ||
| SCLC | 61 | NA | NA | 2 (3.2%) | NA | NA | Antonia SJ, et al. | |
ARDS, acute respiratory distress syndrome; CTLA-4, cytotoxic T-lymphocyte-associated protein 4; HNSCC, head and neck squamous cell carcinoma; ICI, immune checkpoint inhibitor; NA, not applicable; NSCLC, non-small cell lung cancer; PD-1, programmed death 1; PD-L1, programmed death-ligand 1; SCLC, small cell lung cancer.
Figure 1Chest CT images from the patient with cancer (A) before the COVID-19 pneumonia on 16 January, which was clear in both lung fields; and (B) amid the infection on 28 February, showing mild bilateral ground-glass opacity and multiple consolidation (with permission from the patient).