| Literature DB >> 29789020 |
Heinz Läubli1,2, Catharina Balmelli1, Lukas Kaufmann3, Michal Stanczak2, Mohammedyaseen Syedbasha3, Dominik Vogt3, Astrid Hertig1, Beat Müller4, Oliver Gautschi4, Frank Stenner1,2, Alfred Zippelius1,2, Adrian Egli3,5, Sacha I Rothschild6,7.
Abstract
BACKGROUND: Immune checkpoint inhibiting antibodies were introduced into routine clinical practice for cancer patients. Checkpoint blockade has led to durable remissions in some patients, but may also induce immune-related adverse events (irAEs). Lung cancer patients show an increased risk for complications, when infected with influenza viruses. Therefore, vaccination is recommended. However, the efficacy and safety of influenza vaccination during checkpoint blockade and its influence on irAEs is unclear. Similarly, the influence of vaccinations on T cell-mediated immune reactions in patients during PD-1 blockade remains poorly defined.Entities:
Keywords: Cancer immunotherapy; Checkpoint inhibitor; Immune-related adverse events (irAE); Influenza vaccine; Vaccine response
Mesh:
Substances:
Year: 2018 PMID: 29789020 PMCID: PMC5964701 DOI: 10.1186/s40425-018-0353-7
Source DB: PubMed Journal: J Immunother Cancer ISSN: 2051-1426 Impact factor: 13.751
Patient characteristics
| Characteristic | Median (range) or number of patients (%) |
|---|---|
| Age at diagnosis, years | 58.7 years (45.6–84.1) |
| Gender | |
| -Male | 16 (69.6%) |
| -Female | 7 (30.4%) |
| Cancer type | |
| -NSCLC | 16 (69.6%) |
| -RCC | 4 (17.4%) |
| -Melanoma | 3 (13.0%) |
| ECOG Performance Status | |
| -0 | 5 (21.7%) |
| -1 | 12 (52.2%) |
| -2 | 6 (26.1%) |
| Smoking history | |
| -Current | 4 (17.4%) |
| -Former | 8 (34.8%) |
| -Never | 10 (13.0%) |
| -Unknown | 1 (4.4%) |
| Immune Checkpoint Inhibitor | |
| -Nivolumab | 22 (95.7%) |
| -Pembrolizumab | 1 (4.3%) |
| Previous lines of therapy | |
| -0–1 | 11 (47.8%) |
| -2–3 | 7 (30.4%) |
| -> 3 | 5 (21.7%) |
| Molecular aberrationa | |
| -KRAS mutation | 7 (30.4%) |
| -BRAF mutation | 2 (8.7%) |
| -EGFR mutation | 1 (4.4%) |
| -NRAS mutation | 1 (4.4%) |
| -TP53 | 1 (4.4%) |
| -Wildtype | 6 (26.1%) |
| PD-L1 Expression | |
| -0% | 1 (4.4%) |
| -1–5% | 1 (4.4%) |
| -5–10% | 1 (4.4%) |
| -10–20% | 1 (4.4%) |
| -100% | 1 (4.4%) |
| -unknown | 18 (78.3%) |
aAnalysis by next-generation sequencing (Oncomine solid tumor panel)
Radiographic and clinical response to immune checkpoint inhibitors
| Response | Number of patients (%) |
|---|---|
| Radiographic response | |
| -complete response | 0 |
| -partial response | 11 (47.8%) |
| -stable disease | 5 (21.7%) |
| -disease progression | 7 (30.4%) |
| Clinical benefit | |
| -yes | 14 (60.9%) |
| -no | 9 (39.1%) |
Fig. 1Serological responses to vaccination. Titers from cancer patients undergoing PD-1 blockade (Pat) and healthy age-matched controls (HD) against Influenza A/H1N1 (a), Influenza A/H3N2 (b), and Influenza B/Brisbane (c) after different time points after vaccination. The titers were determined by hemagglutination inhibition assay. The seroconversion factor indicates the ration between post- and pre-vaccine titers for all three antigens at day 30 (d). Mann-Whitney U test was used with a significance level of 0.05, two-sided
Fig. 2Inflammatory chemokines and lymphocytes in the peripheral blood upon influenza vaccination. (a-c) Measurement of chemokines before and after vaccination is shown. Chemokines were measured by a multiplex flow cytometry assay. CCL2 (a) CXCL10 (b) and CCL17 increased over time. (d) Measurement of percent of CD4 (d), CD8 (e) cells were performed by flow cytometry and T cells were defined by gating on living CD45 positive, CD3 positive lymphocytes. (f) Determination of naïve (CCR7 positive, CD45RA positive) and effector memory T cells (EM) in peripheral blood upon vaccination. *p < 0.05 by Student’s t test, ***p < 0.001 by Student’s t test
Immune-related adverse events
| Summary of immune-related adverse events | |
|---|---|
| Immune-related adverse event | Number of patients (%) |
| irAE | 12 (52.2%) |
| Grade | |
| -G1/2 | 6 (26.1%) |
| -G3/4 | 6 (26.1%) |
| irAE type | |
| -skin (rash) | 3 (13.0%) |
| -arthritis | 3 (13.0%) |
| -colitis | 2 (8.7%) |
| -encephalitis | 2 (8.7%) |
| -hypothyroidism | 1 (4.3%) |
| -pneumonitis | 1 (4.3%) |
| -neuropathy | 1 (4.3%) |
Frequency of specific immune-related adverse events
| Immune-related adverse event | G1/2, | G3/4, |
|---|---|---|
| Skin (rash) | 3 (13.0%) | 0 |
| Arthritis | 3 (13.0%) | 0 |
| Colitis | 0 | 2 (8.7%) |
| Encephalitis | 0 | 2 (8.7%) |
| Hypothyroidism | 1 (4.3%) | 0 |
| Pneumonitis | 0 | 1 (4.3%) |
| Neuropathy | 0 | 1 (4.3%) |
Fig. 3Changes of chemokines in patients with irAEs. Measurement of chemokines after vaccination in patients under PD-1 blockade. A comparison was made between patients that developed sever grade 3/4 irAEs and patients with no side effects of PD-1 blockade. While CXCL9 (a), CXCL10 (b) and CCL17 (c) showed a non-significant trend towards an increased level in patients with irAEs, CCL2 (d) was lower in patients who experienced irAEs. *p < 0.05 by Student’s t test