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Article

Immunological Response to COVID-19 Vaccination in Ovarian Cancer Patients Receiving PARP Inhibitors

by
Michalis Liontos
1,
Evangelos Terpos
1,
Christos Markellos
1,
Flora Zagouri
1,*,
Alexandros Briasoulis
1,
Ioanna Katsiana
1,
Efthymia Skafida
1,
Oraianthi Fiste
1,
Elena Kunadis
1,
Angeliki Andrikopoulou
1,
Maria Kaparelou
1,
Konstantinos Koutsoukos
1,
Maria Gavriatopoulou
1,
Efstathios Kastritis
1,
Ioannis P. Trougakos
2 and
Meletios-Athanasios Dimopoulos
1
1
Department of Clinical Therapeutics, School of Medicine, Alexandra General Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece
2
Department of Cell Biology and Biophysics, Faculty of Biology, National and Kapodistrian University of Athens, 11528 Athens, Greece
*
Author to whom correspondence should be addressed.
Vaccines 2021, 9(10), 1148; https://doi.org/10.3390/vaccines9101148
Submission received: 2 September 2021 / Revised: 2 October 2021 / Accepted: 4 October 2021 / Published: 8 October 2021
(This article belongs to the Collection COVID-19 Vaccines and Vaccination)

Abstract

:
Objective: Vaccination for SARS-CoV-2 provides significant protection against the infection in the general population. However, limited data exist for cancer patients under systemic therapy. Methods: In this cohort, we prospectively enrolled cancer patients treated with PARPi as well as healthy volunteers in order to study the kinetics of anti-SARS-CoV-2 antibodies (NAbs) after COVID-19 vaccination. Baseline demographics, co-morbidities, and NAb levels were compared between the two groups. Results: The results of the cohort of 36 patients receiving PARP inhibitors are presented here. Despite no new safety issues being noticed, their levels of SARS-CoV-2 neutralizing antibodies were significantly lower in comparison to matched healthy volunteers up to day 30 after the second dose. Conclusions: These results suggest that maintaining precautions against COVID-19 is essential for cancer patients and should be taken into consideration for the patients under treatment, while further exploration is needed to reduce the uncertainty of SARS-CoV-2 immunity among cancer patients under treatment.

1. Introduction

Cancer is a major public health issue worldwide. It is estimated that almost 20 million new cancer cases and 10.0 million cancer deaths occurred in 2020 [1]. The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has had an unprecedented impact throughout the world. COVID-19 patients mainly present with symptoms from the respiratory system, but other organs may be affected as well. Disease severity varies, from entirely asymptomatic carriers to patients with severe respiratory failure and multiple complications due to SARS-CoV-2 infection that lead to multiple organ failure and death [2]. Patients with cancer are more vulnerable to COVID-19, as shown by retrospectively analyzed cohorts of patients in several countries [3]. As a risk factor, cancer increased mortality among COVID-19 patients. Under this perspective, delays in cancer treatment (including surgical treatment, radiotherapy, and chemotherapy), in regular follow-ups of patients, as well as in screening procedures have been noted [4]. Therefore, cancer patients have been a key target group of the vaccination strategy in most countries and have been prioritized to receive COVID-19 vaccination in several countries, including Greece. However, patients with cancer were excluded from SARS-CoV-2 vaccine registrational trials and data regarding the safety and efficacy of vaccination in this population are lacking [5,6].
Poly (ADP-ribose) polymerase inhibitors (PARPi) inhibit enzymatic activity and trap PARP proteins on DNA, leading to cancer cell death [7]. PARPi have transformed the management of many common cancer types. These agents are currently used in ovarian cancer patients as a maintenance treatment after the completion of chemotherapy for newly diagnosed or recurrent disease. PARPi have also been suggested by regulatory authorities to be used to discover additional biomarker-driven indications in breast, prostate, and pancreatic cancer [8]. Preclinical studies have also indicated that these agents could have an immunomodulatory effect, modulating both the innate and adaptive immune system [9].
Under this perspective, we undertook a large prospective study (NCT04743388), enrolling patients with solid cancers and hematologic malignancies as well as healthy volunteers, in order to study the kinetics of anti-SARS-CoV-2 antibodies after COVID-19 vaccination [10]. Herein, we report the development of neutralizing antibodies (NAbs) against SARS-CoV-2 in patients with solid tumors receiving PARPi after vaccination with BNT162b2, AZD1222, or mRNA-1273 vaccines.

2. Material and Methods

In the prospective study NCT04743388, we enrolled cancer patients and healthy volunteers in order to study the kinetics of anti-SARS-CoV-2 antibodies after COVID-19 vaccination. Major inclusion criteria for the cohort of patients treated with PARPi included: (i) age above 18 years; (ii) histologically confirmed ovarian/breast/prostate/pancreatic cancer under treatment with PARPi, irrespective of the treatment phase; and (iii) eligibility for vaccination. Blood from both patients and controls was collected on day 1 prior to vaccination, on day 22, and one month after the second vaccination dose. Serum was separated within 4 h of blood collection and stored at −80°C until the day of measurement. NAbs against SARS-CoV-2 were measured using an FDA-approved methodology (ELISA, cPass™ SARS-CoV-2 NAbs Detection Kit; GenScript, Piscataway, NJ, USA) [11] on the abovementioned timepoints. Samples of the same patient or control were measured in the same ELISA plate. The study was approved by the respective ethical committees (decision number 15/23-12-2020) in accordance with the Declaration of Helsinki and the International Conference on Harmonization for Good Clinical Practice. All patients and controls provided written informed consent prior to enrollment in the study. All data are available on request from the authors. Baseline demographics, co-morbidities, and NAb levels were compared between the two groups, using a chi-square test for categorical variables and an unpaired t-test or Wilcoxon signed-rank test (as appropriate) for continuous variables. To adjust for potential confounding effects of differences in covariates, we used case–control matching to match the two groups for age, gender, and type of vaccine with the calipmatch command in Stata. All data extraction and analyses were conducted using Stata 16.0 (StataCorp 2019, Stata Statistical Software: Release 16. College Station, TX, USA: StataCorp LLC). A two-sided p-value of < 0.05 was used for statistical significance.

3. Results

The study population included 36 patients (all females; median age: 64 years, IQR: 51–72 years) and 160 controls (all females; median age: 63 years, IQR: 60–78 years, p = 0.15 for age compared with patients), vaccinated during the same period. In our cohort, 30 out of 36 patients (83.3%) and 130/160 controls (81.2%) were vaccinated with mRNA vaccines (BNT162b2 and mRNA-1273), while 6/36 patients (16.7%) and 30/160 controls (18.8%) had received the AZD1222 vaccine (p = 0.13). Each patient and control received two doses of the assigned vaccine. The median BMI, a major risk factor for severe COVID-19 illness, was 25.8 m2/kg (IQR: 23–30) in the patients and 26 m2/kg (IQR: 23–29), in the controls (p = 0.44). The characteristics of the patients included in the study are depicted in Table 1. All of them had ovarian cancer treated with PARPi for a median of 4 months (range 1–17). Most patients (20 patients, 55.5%) received the PARPi olaparib, while 15 (42%) received niraparib, and one patient received rucaparib. The most frequent comorbidities in the patient group included cardiovascular disease in 44% of them, metabolic disorders in 31%, and pulmonary disease in 8%.
On day 1, there was no difference regarding the NAb titers between patients and controls (p = 0.44). None of them had a prior history of known COVID-19. After the first vaccine dose, on day 22, patients had lower NAb titers compared to controls: the median NAb inhibition titer was 20.0% (IQR: 5.5–31.9%) for patients versus 42.5% (IQR: 28.1–58.7%) for controls (p < 0.001) (Figure 1). More, specifically, only 10 patients (27.8%) versus 119 controls (74.4%) developed a NAb titer ≥ 30% on day 22 (p < 0.001). Additionally, the number of patients and controls who developed NAbs titers ≥ 50% was two (5.6%) and 57 (35.6%), respectively (p < 0.001).
One month after the second vaccination dose, patients had persistently lower NAb titers compared to controls: the median NAb inhibition titer was 83.6% (IQR: 37.4–90.7%) for patients versus 92.9% (IQR: 82.4–96.6%) for controls (p < 0.001) (Figure 1). At that time point, 30 patients (83.3%) and 150 controls (93.8%) had developed NAb titers ≥ 30% (p = 0.039). Additionally, the percentage of patients and controls who developed NAb titers ≥ 50% was 72.2% and 89.4%, respectively (p = 0.007). No significant interaction was noted between the duration of treatment with PARPi and NAb inhibition titers among patients (p = 0.400).
Regarding safety, no unexpected or severe adverse events were observed amongst the 36 patients with cancer treated with PARPi. The most frequent adverse events due to vaccination were pain at the site of injection in 22.2% of them, fever in 14%, and fatigue in 12%. There was no need to modify the oncology treatment schedule for any patient. Moreover, we did not notice a post-vaccination increase in the incidence of adverse events related to PARPi.

4. Discussion

The COVID-19 pandemic has posed major challenges for cancer patients, relatives and caregivers [12]. Observational studies suggest that balancing between the increased risk of COVID-19 infection when receiving treatment or the increased risk of disease progression when postponing treatment has exacerbated depression and anxiety among patients with cancer [13]. To our knowledge, we present here, for the first time, results of COVID-19 vaccination efficacy in patients receiving PARPi. Patients on treatment with PARPi that received either the BNT162b2, AZD1222, or mRNA-1273 vaccines developed lower titers of NAbs against SARS-CoV-2 up to one month after the second vaccination dose, compared to healthy controls. In cancer patients, factors such as age, the underlying disease, and the administration of immunosuppressive agents, including chemotherapy and corticosteroids, could attenuate immune response [14]. Ovarian cancer patients receive PARPi as a maintenance treatment after their disease has been put into remission with chemotherapy. In addition, these patients rarely receive immunosuppressive agents. Under this perspective, the attenuated immune response against COVID-19 vaccination recorded in our patients under treatment with PARPi, at least up to one month after vaccination completion, is of interest. It should be noted that in experimental models PARPi exert beneficial effects on SARS-CoV-2 infection [15] through various mechanisms, including the attenuation of SARS-CoV-2-induced inflammatory responses and cytokine storms as well as reducing lung fibrosis, which is a common sequel of SARS-CoV-2 infection. Therefore, repurposing these agents to treat COVID-19 has been recently suggested [16]. Moreover, PARP inhibition is recognized to affect immune cells. There is evidence of PARP involvement in T cell maturation and differentiation. PARP inhibition may additionally play a role in maintaining B cell homeostasis, differentiation, and antibody generation, while it also negatively influences the maturation and antigen-presenting function of dendritic cells [17]. Therefore, whether PARPi could also attenuate immune responses to vaccination, as suggested by our findings, deserves further evaluation.
Our results come in accordance with studies of Monin et al. and Terpos et al., reporting poor one-dose vaccine efficacy in cancer patients [18,19]. Recently, Waissengrin et al. reported the safety results of the BNT162b2 vaccine in patients with cancer treated with immune checkpoint inhibitors (ICIs) [20]. We confirm these data in our study population; amongst the 36 patients of our department who received vaccination while on treatment with PARPi, no unexpected adverse events were noted. Given the current exceptional circumstances of the COVID pandemic, cancer patients should not fall behind in the vaccination campaigns worldwide while awaiting larger, prospective trials. In any case, these results suggest that maintaining precautions against COVID-19 is essential for cancer patients, even after vaccination is completed. Emergence of new virus variants that increase transmissibility and dampen the neutralizing potency of antibodies is a significant challenge for currently existing vaccination programs. These variants could have a negative effect on vaccination efficacy [21]. In this case, our data also indicate that the administration of a third dose after a certain time would possibly be beneficial in order to generate optimal immunity for this group of patients. This is in accordance with current guidance in Greece as well as other countries throughout the world that have proposed a third vaccination dose for vulnerable patients including those with cancer. Under this perspective, it is important to continually reassess the vaccines’ effectiveness against new variants of SARS-CoV-2. Meanwhile, a further follow-up of our study population is underway, which will provide integrated data for the efficacy of vaccination in cancer patients.
In conclusion, our data indicate that SARS-CoV-2 neutralizing antibodies are statistically lower in ovarian cancer patients under treatment with PARPi in comparison to healthy controls after completion of the vaccination program. These data should be taken into consideration to prioritize these patients by local regulatory authorities for a third vaccination dose.

Author Contributions

All authors have made substantial contributions to the conception or design of the work, the acquisition, analysis, or interpretation of data, have drafted the work or substantively revised it, have approved the submitted version, and agree to be personally accountable for the author’s own contributions and for ensuring that questions related to the accuracy or integrity of any part of the work, even ones in which the author was not personally involved, are appropriately investigated, resolved, and documented in the literature. M.L.: Conceptualization, Methodology, Software, Validation, Formal Analysis, Investigation, Resources, Data Curation, Writing—Original Draft, Writing—Review and Editing, Visualization, Supervision, and Project Administration. E.T.: Conceptualization, Methodology, Software, Validation, Formal Analysis, Investigation, Resources, Data Curation, Writing—Original Draft, Writing—Review and Editing, Visualization, Supervision, Project Administration, and Funding Acquisition. C.M.: Conceptualization, Methodology, Software, Validation, Formal Analysis, Investigation, Resources, Data Curation, Writing—Original Draft, Writing—Review and Editing, and Visualization. F.Z.: Conceptualization, Methodology, Software, Validation, Formal Analysis, Investigation, Resources, Data Curation, Writing—Original Draft, Writing—Review and Editing, Visualization, Supervision, and Project Administration. A.B.: Methodology, Software, Validation, Formal Analysis, Investigation, Resources, Data Curation, Writing—Original Draft, Writing—Review and Editing, Visualization, Supervision, and Project Administration. I.K.: Investigation. E.S.: Resources, Data Curation, Writing—Original Draft, Writing—Review and Editing, and Visualization. O.F.: Resources, Data Curation, Writing—Original Draft, Writing—Review and Editing, and Visualization. E.K. (Elena Kunadis): Resources, Data Curation, Writing—Original Draft, Writing—Review and Editing, and Visualization. A.A.: Resources, Data Curation, Writing—Original Draft, Writing—Review and Editing, and Visualization. M.K.: Resources, Data Curation, Writing—Original Draft, Writing—Review and Editing, and Visualization. K.K.: Resources, Data Curation, Writing—Original Draft, Writing—Review and Editing, and Visualization. M.G.: Resources, Data Curation, Writing—Original Draft, Writing—Review and Editing, and Visualization. E.K. (Efstathios Kastritis): Conceptualization, Methodology, Software, Validation, Formal Analysis, Investigation, Resources, Data Curation, Writing—Original Draft, Writing—Review and Editing, Visualization, Supervision, Project Administration, and Funding Acquisition. I.P.T.: Conceptualization, Methodology, Software, Validation, Formal Analysis, Investigation, Resources, Data Curation, Writing—Original Draft, Writing—Review and Editing, Visualization, Supervision, Project Administration, and Funding Acquisition. M.-A.D.: Conceptualization, Methodology, Software, Validation, Formal Analysis, Investigation, Resources, Data Curation, Writing—Original Draft, Writing—Review and Editing, Visualization, Supervision, Project Administration, and Funding Acquisition. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by SYN-ENOSIS (Greece), AEGEAS (Greece) and IEMBITHEK (Greece).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of Alexandra Hospital (decision number 900/24-12-2020).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

We thank Ioanna Charitaki; Tina Bagratuni; Christine Ivy Liacos; Nikoletta- Aikaterini Kokkali; Nefeli Mavrianou-Koutsoukou; Dimitrios Patseas; and Stamatia Skourti for administrative, technical, or material support and Sentiljana Gumeni for the acquisition, analysis, or interpretation of data. We also thank SYN-ENOSIS (Greece), AEGEAS (Greece) and IEMBITHEK (Greece) for partially funding this study, as well as all of the study participants for donating their time and samples.

Conflicts of Interest

The authors declare no conflict of interest.

Ethical Approval

The study was approved by the respective ethical committees (Alexandra Hospital Ethics Committee, reference number: 900/24-12-2020) in accordance with the Declaration of Helsinki and the International Conference on Harmonization for Good Clinical Practice. All patients and controls provided written informed consent prior enrollment in the study.

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Figure 1. Kinetics of neutralizing antibodies in patients receiving PARPi and matched controls after vaccination with BNT162b2, AZD1222, or mRNA-1273 vaccines.
Figure 1. Kinetics of neutralizing antibodies in patients receiving PARPi and matched controls after vaccination with BNT162b2, AZD1222, or mRNA-1273 vaccines.
Vaccines 09 01148 g001
Table 1. Patient characteristics.
Table 1. Patient characteristics.
#SEXAGEBMITYPE OF CANCERTYPE OF THERAPYMONTHS ON TREATMENTCOMORBIDITIESVACCINEADVERSE EVENTS
1F8228.1Ovarian cancerNiraparib2Hypertension, DyslipidemiaBNT162b2None
2F7734.3Ovarian cancerOlaparib13Breast Cancer, Dyslipidemia, Osteopenia, DiabetesBNT162b2None
3F6030.4Ovarian cancerOlaparib6NoneAZD12222Pain at the site of injection, Fatigue
4F7534.5Ovarian cancerOlaparib16Hypertension, Dyslipidemia, Chronic Obstructive Pulmonary DiseasemRNA-1273Fever
5F6026.2Ovarian cancerOlaparib13Pulmonary Embolism AZD12222None
6F4734.2Ovarian cancerNiraparib2NoneBNT162b2None
7F5122.8Ovarian cancerOlaparib14HyperthyroidismBNT162b2Pain at the site of injection
8F4224.5Ovarian cancerOlaparib1NoneBNT162b2Pain at the site of injection
9F7528.1Ovarian cancerOlaparib2Dyslipidemia, OsteoporosismRNA-1273None
10F5723.4Ovarian cancerOlaparib11Hypertension, Dyslipidemia, HypothyroidismBNT162b2Fever, Pain at the site of injection
11F6826Ovarian cancerOlaparib13ArthritisBNT162b2None
12F5623.6Ovarian cancerNiraparib4HypothyroidismBNT162b2Pain at the site of Injection, Numbness of upper extremity
13F6423.7Ovarian cancerNiraparib1HypertensionAZD12222None
14F6821.8Ovarian cancerNiraparib4Dyslipidemia, Hypothyroidism, DepressionBNT162b2None
15F5744.9Ovarian cancerNiraparib8HypothyroidismBNT162b2None
16F7425.6Ovarian cancerNiraparib2Rheumatoid Arthritis, Asthma, Atrial FibrillationBNT162b2Fever, Leg pain
17F7032.7Ovarian cancerOlaparib1Glaucoma, Osteoporosis, HypertensionBNT162b2None
18F7420.8Ovarian cancerOlaparib17HypothyroidismBNT162b2None
19F7121.6Ovarian cancerNiraparib2Dyspipidemia, GlaucomaBNT162b2None
20F7921.4Ovarian cancerNiraparib10Dyspipidemia, Osteoporosis, Irritable Bowel, Gastritis, Deep Vein ThrombosisBNT162b2None
21F7426Ovarian cancerNiraparib4Gastritis, Aneurysm, HypertensionBNT162b2None
22F6723.4Ovarian cancerOlaparib5NoneBNT162b2None
23F7329.3Ovarian cancerOlaparib16NoneBNT162b2Pain at the site of injection
24F4427.7Ovarian cancerOlaparib1NoneBNT162b2Fatigue
25F7022.5Ovarian cancerOlaparib3HypothyroidismBNT162b2Fatigue
26F5332Ovarian cancerOlaparib1Dyslipidemia, Hypothyroidism, DepressionBNT162b2Pain at the site of injection
27F5124Ovarian cancerOlaparib4HypothyroidismBNT162b2None
28F4826.2Ovarian cancerOlaparib10NoneBNT162b2None
29F6225Ovarian cancerNiraparib1Dyslipidemia, HypothyroidismmRNA-1273None
30F4628.1Ovarian cancerRucaparib15NoneBNT162b2Headache
31F4719.5Ovarian cancerNiraparib7NoneBNT162b2None
32F6421.8Ovarian cancerNiraparib3NoneBNT162b2None
33F5217.5Ovarian cancerNiraparib1HypothyroidismBNT162b2Fever
34F7027.4Ovarian cancerOlaparib3DyslipidemiaBNT162b2Pain at the site of injection
35F6727.9Ovarian cancerOlaparib17HypothyroidismBNT162b2Fever
36F5021Ovarian cancerNiraparib13NoneBNT162b2None
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Liontos, M.; Terpos, E.; Markellos, C.; Zagouri, F.; Briasoulis, A.; Katsiana, I.; Skafida, E.; Fiste, O.; Kunadis, E.; Andrikopoulou, A.; et al. Immunological Response to COVID-19 Vaccination in Ovarian Cancer Patients Receiving PARP Inhibitors. Vaccines 2021, 9, 1148. https://doi.org/10.3390/vaccines9101148

AMA Style

Liontos M, Terpos E, Markellos C, Zagouri F, Briasoulis A, Katsiana I, Skafida E, Fiste O, Kunadis E, Andrikopoulou A, et al. Immunological Response to COVID-19 Vaccination in Ovarian Cancer Patients Receiving PARP Inhibitors. Vaccines. 2021; 9(10):1148. https://doi.org/10.3390/vaccines9101148

Chicago/Turabian Style

Liontos, Michalis, Evangelos Terpos, Christos Markellos, Flora Zagouri, Alexandros Briasoulis, Ioanna Katsiana, Efthymia Skafida, Oraianthi Fiste, Elena Kunadis, Angeliki Andrikopoulou, and et al. 2021. "Immunological Response to COVID-19 Vaccination in Ovarian Cancer Patients Receiving PARP Inhibitors" Vaccines 9, no. 10: 1148. https://doi.org/10.3390/vaccines9101148

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