PDL1 inhibitors may be associated with a lower risk of allograft rejection than PD1 and CTLA4 inhibitors: analysis of the WHO pharmacovigilance database
Contributors
Others:
- Centre Hospitalier Universitaire de Nice (CHU Nice)
- Université Côte d'Azur - Faculté de Médecine (UCA Faculté Médecine) ; Université Côte d'Azur (UniCA)
- Institut de Recherche sur le Cancer et le Vieillissement (IRCAN) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)
- FHU OncoAge - Pathologies liées à l'âge [CHU Nice] (OncoAge) ; Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)
- Centre de Lutte contre le Cancer Antoine Lacassagne [Nice] (UNICANCER/CAL) ; UNICANCER-Université Côte d'Azur (UniCA)
- Modèles et algorithmes pour l'intelligence artificielle (MAASAI) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Laboratoire Jean Alexandre Dieudonné (LJAD) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS) ; Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)-Centre National de la Recherche Scientifique (CNRS)
- CHU Nice [Cimiez] ; Hôpital Cimiez [Nice] (CHU)
- Université Côte d'Azur (UniCA)
- Hôpital Pasteur [Nice] (CHU)
- Centre méditerranéen de médecine moléculaire (C3M) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UniCA)
- Département de Néphrologie - Hôpital Pasteur [Nice] ; Hôpital Pasteur [Nice] (CHU)
Description
® (WHO's pharmacovigilance database) was queried for reports of AR involving CTLA4, PD1, or PDL1 inhibitors. Disproportionality analysis compares the proportion of reports with a specific adverse drug reaction (ADR) and a given drug to the proportion of reports with the same ADR and other drugs. A lower 95% confidence interval for the Information Component (IC) >0 suggests a signal. The comparative Reporting Odds Ratios (ROR) for AR, between PD1 and PDL1 inhibitors, was calculated.Results: We gathered 159 AR involving an ICI, especially nivolumab (73, 45.9%), mostly affecting kidneys (87, 54.7%). Median time to onset: 28 days. Fatal outcome: 36 reports (22.6%). ICI were significantly associated with AR: IC=1.7 [1.4;1.9]. Specifically, PD1 inhibitors yielded an IC of 2.0 [1.7;2.2] (152 reports observed compared to 38 expected). By contrast, the IC of PDL1 inhibitors was negative: -2.6 [-6.4;-1.0] (1 observed, 9 expected). The comparative ROR of PD1 compared to PDL1 inhibitors was 33.7 [4.7;240.9] (p=0.0005).onclusions: We confirm the association between ICI treatment and AR. Notably, PDL1 inhibitors showed surprisingly low AR reports compared to CTLA4 and PD1 inhibitors. Further prospective studies are warranted to confirm whether PDL1 inhibitors indeed reduce AR risk compared to other ICI.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.science/hal-04981196
- URN
- urn:oai:HAL:hal-04981196v1
Origin repository
- Origin repository
- UNICA