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Do corticosteroids affect immunotherapy efficacy in malignancy? - A systematic review
Yoni Byron1, Sonya Yegorova-Lee2, Martin Tio3
1Alan Walker Cancer Centre, Royal Darwin Hospital, Darwin, 0810, Northern Territory, Australia.
Corticosteroids administered for non-cancer reasons do not significantly impact immunotherapy response or survival in cancer patients. This systematic review found no adverse effects on treatment outcomes when excluding palliative indications.
Area of Science:
- Oncology
- Immunology
- Pharmacology
Background:
- Early research suggested corticosteroids might reduce immunotherapy benefits.
- This systematic review addresses the impact of corticosteroids on immunotherapy efficacy in cancer patients.
- The study specifically adjusts for corticosteroids used for palliative care.
Purpose of the Study:
- To evaluate the effect of corticosteroids on immunotherapy outcomes in cancer patients.
- To differentiate the impact of corticosteroids used for non-cancer indications versus palliative care.
- To synthesize evidence on corticosteroid use and immunotherapy response.
Main Methods:
- Systematic review and meta-analysis of studies from PubMed, Embase, and Medline.
- Included studies compared immunotherapy response/survival in patients receiving corticosteroids for non-cancer indications versus controls.
- Excluded studies solely on corticosteroids for immune-related adverse events (irAE). Pooled odds and hazard ratios were calculated.
Main Results:
- Eight studies were included in the meta-analysis.
- Corticosteroids for non-cancer indications showed no statistically significant effect on overall response rate (OR 1.01).
- No significant impact was observed on progression-free survival (HR 0.87) or overall survival (HR 0.79).
Conclusions:
- Corticosteroids for non-cancer indications do not appear to negatively affect immunotherapy response or survival.
- Results suggest that confounding effects from palliative corticosteroid use were successfully mitigated.
- Limitations include retrospective study designs, small sample sizes, and potential bias from irAE inclusion in some studies.
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