Effect of high-dose corticosteroids on CD4+ or CD8+ lymphocyte proliferation or IL-2 production after stimulation with pembrolizumab.
Bibliographic record
Abstract
e14587 Background: Immune checkpoint inhibitor (ICI) therapy has improved survival of patients with melanoma and other types of cancers. The effect of immunosuppresive corticosteroids on ICI efficacy is unknown, however treatment of immune-related adverse events with high-dose steroid therapy impairs neither efficacy nor time to failure of ICI. In certain clinical circumstances (for instance in the treatment of patients with symptomatic brain metastases) it may be advantageous to begin ICI therapy despite a requirement for steroid therapy. This study examined the effect of high-dose steroid therapy on lymphocyte proliferation/functionality after stimulation with anti-CD3 in the presence of pembrolizumab (PD-1 inhibitor) ex vivo. Methods: Peripheral blood mononuclear cells (PBMCs) were collected from patients with either chronic hepatitis C infection or active malignant melanoma. CD4+ and CD8+ T cells were isolated and subjected to flow cytometry stating for the expression of PD-1. Isolated PBMCs were then pre-treated with prednisone (1 nM - 1 mM) before anti-CD3 stimulation. Anti-CD3-stimulated cells were then incubated with pembrolizumab (5 µg/mL) and their proliferative capacity and IL-2 secretion ability were measured by carboxyfluorescein succinimidyl ester (CFSE) staining and ELISA, respectively. Results: A dose-dependent inhibition of both lymphocyte proliferation and IL-2 production was observed, but at physiologically relevant nanomolar prednisone concentration the steroid effect was negligible. Millimolar prednisone concentrations resulted in > 50% relative reduction in lymphocyte proliferation, however even at this steroid concentration treatment with pembrolizumab was able to further stimulate proliferation and IL-2 secretion versus anti-CD3stimulation alone. Conclusions: Despite heavily immunosuppressive treatment, CD4+ and CD8+ lymphocytes demonstrate proliferative capacity and immunological activity following treatment with pembrolizumab. This suggests that treatment with pembrolizumab may be efficacious despite a requirement for steroid therapy, a scenario often encountered in patients with brain metastases.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".