Observational Study on Antibody Response to COVID-19 Vaccines in PAtients with Gastro-Entero-PanCreatic Cancers and NeuroendocrIne NeoplAsms on Systemic TreatmEnts (VACCINATE).
Alice LaffiLorenzo GervasoOriana D'EcclesiisSara GandiniAgostino RivaRita PasseriniFrancesca SpadaStefania PellicoriManila RubinoChiara Alessandra CellaPaola Simona RavendaMaria Giulia ZampinoNicola FazioPublished in: Biomedicines (2023)
The coronavirus disease-19 (COVID-19) pandemic dramatically impacted oncological patients' care. Since the introduction of vaccines and the demonstration of their benefit on frail patients, COVID-19 vaccinations were indicated to also be beneficial to oncological population. However, data about the impact of anticancer-treatments and the timing between vaccinations and systemic therapy delivery were not available. We aimed to evaluate potential factors influencing the outcome of the COVID-19 vaccination in cancer patients. We prospectively collected data of patients undergoing the COVID-19 vaccination with gastro-entero-pancreatic and neuroendocrine neoplasms, treated at our institute, between 03/2021 and 12/2021. We enrolled 46 patients, 63.1% males; at the time of data collection, 86.9% had received two-doses of Pfizer-BioNTech and the rest had received the Moderna vaccine. All patients obtained a subsequent immune-response. Chemotherapy seems to determinate a significantly lower antibody response after vaccination compared to the other anti-cancer agents ( p = 0.004). No significant effect on immune-response was reported for both vaccinations performed ≤7 vs. >7 days from the last systemic treatment ( p = 0.77) and lymphocytes count ( p = 0.11). The findings suggest that the optimal timing for COVID-19 vaccination and lymphocytes count are not the issue, but rather that the quality of the subset of lymphocytes before the vaccination determine the efficacy level of immune-response in this population.
Keyphrases
- coronavirus disease
- immune response
- sars cov
- newly diagnosed
- ejection fraction
- patients undergoing
- prognostic factors
- prostate cancer
- healthcare
- radiation therapy
- peripheral blood
- squamous cell carcinoma
- stem cells
- mesenchymal stem cells
- machine learning
- chronic pain
- electronic health record
- health insurance
- rectal cancer
- patient reported
- cell therapy
- robot assisted
- data analysis
- quality improvement