| Literature DB >> 35681774 |
Evangelos Terpos1, Michalis Liontos1, Oraianthi Fiste1, Flora Zagouri1, Alexandros Briasoulis1, Aimilia D Sklirou2, Christos Markellos1, Efthymia Skafida1, Alkistis Papatheodoridi1, Angeliki Andrikopoulou1, Konstantinos Koutsoukos1, Maria Kaparelou1, Vassiliki A Iconomidou2, Ioannis P Trougakos2, Meletios-Athanasios Dimopoulos1.
Abstract
Considering that COVID-19 could adversely affect cancer patients, several countries have prioritized this highly susceptible population for vaccination. Thus, rapidly generating evidence on the efficacy of SARS-CoV-2 vaccination in the subset of patients with cancer under active therapy is of paramount importance. From this perspective, we launched the present prospective observational study to comprehensively address the longitudinal dynamics of immunogenicity of both messenger RNA (mRNA) and viral vector-based vaccines in 85 patients treated with immune checkpoint inhibitors (ICIs) for a broad range of solid tumors. Despite the relatively poor humoral responses following the priming vaccine inoculum, the seroconversion rates significantly increased after the second dose. Waning vaccine-based immunity was observed over the following six months, yet the administration of a third booster dose remarkably optimized antibody responses. Larger cohort studies providing real-world data with regard to vaccines effectiveness and durability of their protection among cancer patients receiving immunotherapy are an increasing priority.Entities:
Keywords: SARS-CoV-2; cancer; immune checkpoint inhibitors; immunotherapy; vaccination
Year: 2022 PMID: 35681774 PMCID: PMC9179468 DOI: 10.3390/cancers14112796
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.575
Baseline patient characteristics.
| Variables | Total Population; Median (IQR) |
|---|---|
| Age | 68.04 (62–77) |
| BMI | 26.89 (24–29) |
|
| |
| Male | 52 (61.18%) |
| Female | 33 (38.82%) |
|
| |
| Urothelial/bladder cancer | 22 (25.89%) |
| Renal cancer | 21 (24.71%) |
| Lung cancer | 20 (23.53%) |
| Endometrial cancer | 5 (5.88%) |
| Pancreatic cancer | 2 (2.35%) |
| Other | 15 (17.65%) |
|
| |
| Anti-PD-1 | 66 (77.65%) |
| Anti-PD-L1 | 11 (12.94%) |
| I/O combo | 8 (9.41%) |
|
| |
| Yes | 64 (75.29%) |
| None | 13 (15.29%) |
| Missing | 8 (9.41%) |
|
| |
| BNT162b2 | 61 (71.76%) |
| AZD1222 | 17 (20%) |
| mRNA-1273 | 7 (8.24%) |
|
| |
| Yes | 3 (3.53%) |
| No | 78 (91.76%) |
| Missing | 4 (4.71%) |
|
| |
| Pain at injection site | 27 (31.76%) |
| Fatigue | 17 (20%) |
| Fever | 7 (8.24%) |
| None | 36 (42.35%) |
| Other or missing | 14 (16.47%) |
Neutralizing antibody (NAb) titers in cancer patients receiving immunotherapy at several timepoints after COVID-19 vaccination.
| Timepoint | Mean NAb Titers ± Standard Deviation | Median NAb Titers (IQR) |
|---|---|---|
| Baseline (D1) | 15.8 ± 9.4 | 14.2 (10.7–20.8) |
| Prior to 2nd dose (D22) | 29.1 ± 24.7 | 23.4 (13–39.8) |
| 1 month after 2nd dose (D50) | 70.7 ± 31.8 | 87.1 (46.9–95.9) |
| 3 months after 2nd dose (D90) | 61.3 ± 28.9 | 70.2 (35.9–85.7) |
| 6 months after 2nd dose (D180) | 48.4 ± 28.2 | 49.7 (21.1–78.8) |
| 1 month after 3rd dose (3rd + 30D) | 96.6 ± 2.1 | 97.5 (96.5–97.9) |
IQR: interquartile range.
Figure 1Kinetics of neutralizing antibodies (NAbs) in cancer patients receiving immunotherapy and matched controls at several timepoints after COVID-19 vaccination. The asterisk (★) denotes a statistically significant difference between the sixth month levels and the previous timepoints (p < 0.01).