| Literature DB >> 35678621 |
Urska Janzic1,2, Urska Bidovec-Stojkovic3, Katja Mohorcic1, Loredana Mrak1, Nina Fokter Dovnik4, Marija Ivanovic4, Maja Ravnik4, Marina Caks4, Erik Skof5,6, Jerneja Debeljak3, Peter Korosec3,7, Matija Rijavec3,8.
Abstract
Background: SARS-CoV-2 vaccination in cancer patients is crucial to prevent severe COVID-19 disease course.Entities:
Keywords: anticancer treatment; immunogenicity; mRNA-based vaccination; seroconversion; solid cancer
Mesh:
Substances:
Year: 2022 PMID: 35678621 PMCID: PMC9245563 DOI: 10.2217/fon-2022-0148
Source DB: PubMed Journal: Future Oncol ISSN: 1479-6694 Impact factor: 3.674
Figure 1.CONSORT diagram showing the included and analysis population.
Demographic and clinical characteristics of included patients.
| n = 112 | |
|---|---|
|
| 62 (24–81) |
| 26 (23%) | |
| Immune checkpoint inhibitors | 44 (39%) |
| Targeted therapy (tyrosine kinase inhibitors or endocrine therapy) | 42 (38%) |
All patients received two doses.
Receiving methylprednisolone, dexamethasone or prednisolone not received within cancer treatment regimens.
One patient receiving anti-IL-23 therapy for psoriasis.
SARS-CoV-2 status was positive at baseline if the patient had clinical or virological evidence of COVID-19 illness either by positive patient history and positive reverse transcriptase-PCR or positive reverse transcriptase-PCR test alone.
Patients were considered to have positive SARS-Cov-2 IgG antibodies if the level of anti-SARS-CoV-2 S1 IgG was above the threshold of 175 ng/ml.
NSCLC: Non-small-cell lung cancer; SCLC: Small-cell lung cancer.
Figure 2.Anti-SARS-CoV-2 S1 IgG antibody levels in previously infected and non-previously infected cancer patients.
(A) Differences in antibody titers against S1 protein of SARS-CoV-2 in cancer patients at different time points in patients without previous COVID-19 infection (blue) and those with prior COVID-19 infection (red); Wilcoxon signed-rank test. (B) Proportion of cancer patients with antibodies against S1 protein of SARS-CoV-2 at different time points in patients without previous COVID-19 infection (blue borders) and in patients with prior COVID-19 infection (red borders); chi-square test. Patients with IgG values ≥880 ng/ml (≥44 BAU/ml) were considered to have a high probability of immune protection against SARS-CoV-2.
Figure 3.Anti-SARS-CoV-2 S1 IgG antibody levels in non-previously infected patients according to anticancer therapies.
(A) Differences in antibody titers against S1 protein of SARS-CoV-2 in cancer patients at different time points according to anticancer therapy received and in control subjects; Wilcoxon signed-rank test and Mann–Whitney U test. No subjects had previous COVID-19 infection. (B) Proportion of cancer patients with antibodies against S1 protein of SARS-CoV-2 at different time points according to anticancer therapy received and in control subjects; chi-square test. None had previous COVID-19 infection. Patients with IgG values ≥880 ng/ml (≥44 BAU/ml) were considered to have a high probability of immune protection against SARS-CoV-2.
ChT: Chemotherapy; Controls: Healthy control; ICI: Immune checkpoint inhibitor; TT: Targeted therapy.
Figure 4.Anti-SARS-CoV-2 S1 IgG antibody levels in previously infected patients according to anticancer therapies.
(A) Differences in antibody titers against S1 protein of SARS-CoV-2 in cancer patients at different time points according to anticancer therapy received and in control subjects; Wilcoxon signed-rank test and Mann–Whitney U test. All had previous COVID-19 infection. (B) Proportion of cancer patients with antibody against S1 protein of SARS-CoV-2 at different time points according to anticancer therapy received and in control subjects; chi-square test. All had prior COVID-19 infection. Patients with IgG values ≥880 ng/ml (≥44 BAU/ml) were considered to have a high probability of immune protection against SARS-CoV-2.
ChT: Chemotherapy; Controls: Healthy control; ICI: Immune checkpoint inhibitor; TT: Targeted therapy.
Figure 5.Proportion of patients experiencing local, systemic or both types of adverse events after vaccination.
Proportion of cancer patients experiencing local, systemic or both types of AEs after the (A) first and (B) second vaccinations. Percentage of cancer patients, severity and types of AEs experienced after (C) first and (D) second vaccinations; (E) frequency of AEs reported after the first and second vaccinations and the proportion of patients reporting AEs after both vaccination doses for the entire group of cancer patients (left), those not previously infected with SARS-CoV-s (middle) and those previously infected with SARS-CoV-2 (right).
AE: Adverse event.