Retrospective side effect profiling of the metastatic melanoma combination therapy Ipilimumab-Nivolumab using adverse event data
Recent studies suggest that combining nivolumab with ipilimumab is a more effective treatment for melanoma patients, compared to using ipilimumab or nivolumab alone. However, treatment with these immunotherapeutic agents is frequently associated with increased risk of toxicity, and (auto-) immune-re...
Gespeichert in:
| Hauptverfasser: | , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
31 October 2018
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| In: |
Diagnostics
Year: 2018, Jahrgang: 8, Heft: 4 |
| ISSN: | 2075-4418 |
| DOI: | 10.3390/diagnostics8040076 |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.3390/diagnostics8040076 Verlag, Volltext: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316083/ 
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| Verfasserangaben: | Theodoros G. Soldatos, Antonia Dimitrakopoulou-Strauss, Lionel Larribere, Jessica C. Hassel, Christos Sachpekidis |
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| 520 | |a Recent studies suggest that combining nivolumab with ipilimumab is a more effective treatment for melanoma patients, compared to using ipilimumab or nivolumab alone. However, treatment with these immunotherapeutic agents is frequently associated with increased risk of toxicity, and (auto-) immune-related adverse events. The precise pathophysiologic mechanisms of these events are not yet clear, and evidence from clinical trials and translational studies remains limited. Our retrospective analysis of ~7700 metastatic melanoma patients treated with ipilimumab and/or nivolumab from the FDA Adverse Event Reporting System (FAERS) demonstrates that the identified immune-related reactions are specific to ipilimumab and/or nivolumab, and that when the two agents are administered together, their safety profile combines reactions from each drug alone. While more prospective studies are needed to characterize the safety of ipilimumab and nivolumab, the present work constitutes perhaps the first effort to examine the safety of these drugs and their combination based on computational evidence from real world post marketing data. | ||
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