| Literature DB >> 33033851 |
Nicki Panoskaltsis1,2,3,4,5, Neil E McCarthy6,7, Andrew J Stagg6,7, Catherine J Mummery8,9, Mariwan Husni10,11, Naila Arebi12,13, David Greenstein14,15, Claire L Price6,16, Hafid O Al-Hassi6,17, Michalis Koutinas18,19, Athanasios Mantalaris18,20, Stella C Knight6.
Abstract
Cytokine storm can result from cancer immunotherapy or certain infections, including COVID-19. Though short-term immune-related adverse events are routinely described, longer-term immune consequences and sequential immune monitoring are not as well defined. In 2006, six healthy volunteers received TGN1412, a CD28 superagonist antibody, in a first-in-man clinical trial and suffered from cytokine storm. After the initial cytokine release, antibody effect-specific immune monitoring started on Day + 10 and consisted mainly of evaluation of dendritic cell and T-cell subsets and 15 serum cytokines at 21 time-points over 2 years. All patients developed problems with concentration and memory; three patients were diagnosed with mild-to-moderate depression. Mild neutropenia and autoantibody production was observed intermittently. One patient suffered from peripheral dry gangrene, required amputations, and had persistent Raynaud's phenomenon. Gastrointestinal irritability was noted in three patients and coincided with elevated γδT-cells. One had pruritus associated with elevated IgE levels, also found in three other asymptomatic patients. Dendritic cells, initially undetectable, rose to normal within a month. Naïve CD8+ T-cells were maintained at high levels, whereas naïve CD4+ and memory CD4+ and CD8+ T-cells started high but declined over 2 years. T-regulatory cells cycled circannually and were normal in number. Cytokine dysregulation was especially noted in one patient with systemic symptoms. Over a 2-year follow-up, cognitive deficits were observed in all patients following TGN1412 infusion. Some also had signs or symptoms of psychological, mucosal or immune dysregulation. These observations may discern immunopathology, treatment targets, and long-term monitoring strategies for other patients undergoing immunotherapy or with cytokine storm.Entities:
Keywords: Cytokine release syndrome; Cytokine storm; Immune monitoring; Immune-related adverse events (irAEs); Immunotherapy; TGN1412
Mesh:
Substances:
Year: 2020 PMID: 33033851 PMCID: PMC7543968 DOI: 10.1007/s00262-020-02725-2
Source DB: PubMed Journal: Cancer Immunol Immunother ISSN: 0340-7004 Impact factor: 6.968
Persistent symptoms and signs over two years following TGN1412-induced cytokine storm
| Categories | Symptoms and immune correlates (# of patients) | CTCAE grade |
|---|---|---|
| Neurocognitive and psychological | Memory impairment (6) | 1–2 |
| Impairment in attentional processing (6) | 1–2 | |
| Mild-moderate depression (3) | 1–2 | |
| Post-traumatic stress disorder (2) | 2 | |
| Anxiety requiring psychotherapy (4) | 1–3 | |
| Headaches (5) | 1–2 | |
| Blurred vision (5) | 1 | |
| Autoimmune and inflammatory | Mild neutropenia (3) | 1 |
| Arthralgias—knees, hands, back (6) | 1 | |
| Positive auto-antibodies (4) | 1 | |
| Ischemic extremities (1) | 3 | |
| Raynaud’s phenomenon (1) | 1 | |
| Immune mucosal barrier function | Diarrhea and ↑ γδT cells (3) | 1–2 |
| Skin dryness and ↑sensitivity (3) | 1–2 | |
| Pruritus (1) | 1–2 | |
| Peripheral blood eosinophilia (3) | 1 | |
| ↑ Serum IgE (4) | 1 | |
| Benign lipomas/angiolipomas (1) | 2 | |
| Immune cell subsets and cytokines | Gradual recovery of DC over 1 month (6) | 1 |
| Low-normal total CD4+ T cells (5) | 1 | |
| Low-normal total CD8+ T cells (6) | 1 | |
| ↑ sustained naïve CD8+ T cells (5) | 1 | |
| ↓ naïve CD4+ T cells over time (5) | 1 | |
| ↓ memory CD4+ T cells over time (4) | 1 | |
| ↓ memory CD8+ T cells over time (4) | 1 | |
| Normal Tregs with circannual cycle (6) | 1 | |
| Vβ repertoire normal (6) | – | |
| Normal immune responses in vitro (6) | – | |
| ↑ sustained erythropoietin level for 3 months (1) | 1 | |
| ↑ cytokine response from 3 months (1) | 1 | |
| IL-17 differences (6) | 1 |
CTCAE common terminology criteria for adverse events, version 4.03
Fig. 1Two-year follow-up of relevant clinical parameters in the six patients Absolute neutrophil (a) and eosinophil counts (with values within the first 3 months highlighted in the panel to the right) (b) followed over the 2-year period since TGN1412-induced cytokine storm show that three of the patients had mild intermittent neutropenia and three had intermittent eosinophilia. The latter three patients also had elevated levels of IgE (c), not always correlating with the elevated eosinophil counts. Horizontal dashed lines indicate the normal control reference ranges for each parameter. Normal reference ranges were determined for a healthy population in the clinical pathology accredited hematology laboratory using standard operating procedures
Fig. 2Ischemic and dermatologic changes in Patient D at three months following TGN1412-induced cytokine storm. Areas of dry gangrene became fully demarcated at 2–3 months following the insult with vascular skin changes in the areas that became revigorated. Shown are changes prior to amputation of the ischemic digits in the (a) left hand and (b) right foot. Following amputations, he had persistent pain in both feet, some of which could be ascribed to phantom-limb pain, and had a sensory deficit which followed a glove-and-stocking distribution, consistent with the areas originally affected by ischemia during his critical illness. (c) During the patient’s critical care phase, an arterial line had been placed in the left radial artery and with recovery, a hyperkeratotic scar formed, 7 cm × 4 cm in maximum dimensions, with faint satellite amelanotic lesions (1–3 mm dimension, arrows). These lesions continued to improve with time, with regression of the scar and disappearance of the white satellite spots
Fig. 3Time course of changes in immune cell subsets during the first two years following infusion of TGN1412. Ongoing monitoring of T-cell and DC subsets in the peripheral blood have shown changes over time since the start of the monitoring period, 10 days following infusion of TGN1412. After the 4-month time-point, significant disparity in numbers of certain T-cell subsets was observed, mostly due to shorter handling times for the samples and a resultant decrease in cell death. The data have been separated by a vertical dashed line to indicate this change; the entire 2-year monitoring period is shown in a continuous time-course, but with a split in the data after the 4-month change in protocol. The cell subsets measured were: (a) HLA-DR+/Lin−/CD11c+ conventional (“myeloid”) and (b) CD11c− plasmacytoid dendritic cells, (c) CD45RA+/CD45RO− naive CD4+ helper and (d) CD8+ cytotoxic T-cells, (e) CD45RA−/CD45RO+ memory CD4+ helper and (f) CD8+ cytotoxic T-cells, CD25+/CD28+ “T-regulatory” CD4+ (g) and CD8+ T-cells (h) and CD69+ activated CD4+ (i) and CD8+ (j) T-cells (with the first 4 months shown in the inset for clarity of early events). Total CD3+ T-cells (k) indicates that although the total number of T-cells remained in the normal or high–normal range, the cell subsets making up the total changed over time. Whereas naïve CD8+ T-cells remained in the high–normal or higher range at the 2-year follow-up, all other T-cells were below normal, especially in memory subsets and CD25+/CD28+ subsets which included Tregs. However, these low values at the two-year point were found at the expected trough of the circannual cycling pattern and may be normal. CD45RA−/CD45RO− T-cells were not observed at any time point during immune recovery. CD45RA+/CD45RO+ T-cells were observed intermittently throughout recovery in all patients and controls, albeit in small numbers (data not shown). Median and interquartile ranges for the cohort are shown for each time-point. Median and interquartile ranges for the normal controls (n = 24) drawn at the same time points are shown separately for the first 4 months and the remaining 18, indicated by the horizontal dashed lines on each figure. Total CD3+ (l), CD4+ (m) and CD8+ (n) T-cell subsets were also evaluated in the clinical laboratory by flow cytometry at the same time-points and served as an internal control. The total CD3+ cells correlated well between the research laboratory (k) and the clinical laboratory (l) and the total CD4+ and CD8+ T-cells remained in the low–normal range over 2 years. Conventional units are shown in the y-axes (cells/mm3 = cells/μl) and is equivalent to 106cells/L in SI units
Fig. 4Cytokine levels in patient sera over two years following TGN1412-induced cytokine storm. Cytokine bead array or ELISA was used to measure cytokines (a) IFNγ, (b) IL-1β, (c) IL-12p70, (d) IL-8, (e) IL-4, (f) IL-5, (g) IL-17, (h) erythropoietin, (i) IL-2, (j) IL-10, (k) IL-6, (l) TNFα, (m) IL-11, (n) IL-15, (o) IL-23 and (p) sCD28 in all six patients for the 2-year clinical follow-up. In comparison with the other five patients, patient B was clearly different in the cytokine response (p < 0.001). The level of IL-17 in the serum of patients over time was found to be different compared with that of matched controls (p < 0.001) and with that of the serum concentrations in the same patients of IL-11, erythropoietin, IL-15, IL-23, sCD28, IFNγ, IL-8, IL-6 and IL-10 (p < 0.001). This IL-17 signal suggests a role for cells secreting the cytokine in the immune reconstitution following cytokine storm. There is no statistical difference between the patient data for IL-15, IL-11 and IL-23 and those of the normal controls. Statistical comparisons were done using three-way ANOVA