ArticleBMJ oncology2023
Predictive biomarkers and specific immune responses of COVID-19 mRNA vaccine in patients with cancer: prospective results from the CACOV-VAC trial.
Article in BMJ oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04836793 (Study of Humoral and Cellular Immune Responses Following SARS-CoV-2 Vaccination to Predict Immune Responses in Cancer Patients), which is not on this map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Study of Humoral and Cellular Immune Responses Following SARS-CoV-2 Vaccination to Predict Immune Responses in Cancer Patients
Who cites it
1 citing paper in PubMed.
- mRNA vaccines as cancer therapies.Chinese medical journal · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Vaccinated patients with cancer in follow-up studies showed a high seropositivity rate but impaired antibody titres and T cell responses following mRNA vaccine against COVID-19. Besides clinical characteristics and the type of anticancer treatment before vaccination, the identification of patients susceptible to non-response following vaccination using immunological markers is worth to be investigated. Methods and analysis: All patients (n=138, solid cancers) were included in the CACOV-VAC Study comprising three cohorts ((neo)-adjuvant, metastatic and surveillance). Immune responses were assessed using, respectively, anti-receptor-binding domain (RBD) SARS-CoV-S-IgG assay and interferon-γ ELISpot assay 3 months following the prime vaccination dose. Immunophenotyping of T cells and immunosuppressive cells from peripheral blood was performed before the prime dose. The serological threshold 3563 AU/mL was used to discriminate non-responders or suboptimal responders versus responders. Results: Most patients achieved seroconversion after receiving the two doses of vaccine (97.6%). The median serological level of anti-RBD SARS-CoV-S-IgG was equal to 3029 for patients at the metastatic stage. The patient's age was the main demographic characteristic that influenced vaccine efficacy. Among the immunological parameters measured at baseline, lower TIGIT (T cell immunoreceptor with Ig and ITIM domains) expression on CD8 T cells was associated with a better vaccine immunogenicity both in terms of humoral and cellular immune responses. Conclusion: Despite a high seroconversion rate, median serological levels of patients with cancer, particularly elderly patients, were below the threshold equal to 3563 AU/mL considered as a humoral correlate of protection against SARS-CoV-2. Our findings suggest that the inhibitory receptor TIGIT might be an interesting predictive biomarker of COVID-19 vaccine immunogenicity and beyond in an anticancer vaccine context. Trial registration number: ClinicalTrials.gov Registry (NCT04836793).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.