Longitudinal efficacy and toxicity of SARS-CoV-2 vaccination in cancer patients treated with immunotherapy
Bibliographic record
Abstract
Abstract Background Despite more than 2 years having elapsed since the onset of SARS-CoV-2 pandemic, a level of hesitation around increased SARS-CoV-2 vaccine toxicity in cancer patients receiving immunotherapy (IO) remains. Here, we explore serological responses to SARS-CoV-2 vaccination in patients treated with IO and we describe blood cytokines, autoantibody levels and immune-related adverse events (irAEs) post vaccination. Methods Serum anti-SARS-CoV-2 spike (S) protein receptor binding domain (RBD) antibodies, surrogate viral neutralization test (sVNT), Th1/Th2 cytokines and antibodies against self-antigens were quantified at baseline, between 1st and 2nd vaccine doses, at 1 week (1W), 1 month (1M), 4–6 months and 10–12 months after the 2nd dose. Grade 2 or higher (≥ gr2+) irAEs were captured prospectively. Results Fifty-one evaluable patients were enrolled in this longitudinal study, 35 on immunotherapy (IO) and 16 on non-immunotherapy (non-IO) treatment. Absolute levels and neutralization potential of anti-SARS-CoV-2 antibodies were not significantly different in the IO group compared to non-IO. Chemotherapy adversely affects seroconversion when compared to IO and/or targeted treatment with antibody levels of 67.6 U/mL vs 1441 U/mL (p = 0.006) and sVNT of 70.9% vs 94.5% (p = 0.009), at 1M after 2nd vaccine dose. Following vaccination, the prevalence of grade ≥ 2 irAEs in patients treated with IO was not higher than the usual reported IO toxicity. We report, for the first time, that post-vaccination, IgM autoantibodies against beta 2 glycoprotein (p = 0.02), myeloperoxidase (p = 0.03), nucleosome (p = 0.041), SPLUNC2 (p < 0.001) and IgG autoantibody against Myosin Heavy Chain 6 (MYH6) (p < 0.001), were significantly elevated and this increase was unrelated to the type of treatment. Discussion Comprehensive analysis of a small cohort showed that co-administration of SARS-CoV-2 vaccine and IO is not associated with increased irAEs. The detection of autoantibodies post anti-SARS-CoV-2 vaccination warrants further investigation. (NCT03702309)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".