Analysis of the association between prospectively collected immune-related adverse events and survival in patients with solid tumor treated with immune-checkpoint blockers, taking into account immortal-time bias.


Journal

Cancer treatment reviews
ISSN: 1532-1967
Titre abrégé: Cancer Treat Rev
Pays: Netherlands
ID NLM: 7502030

Informations de publication

Date de publication:
Nov 2022
Historique:
received: 14 03 2022
revised: 01 08 2022
accepted: 05 08 2022
pubmed: 24 8 2022
medline: 18 10 2022
entrez: 23 8 2022
Statut: ppublish

Résumé

Numerous retrospective studies and reviews have reported a positive association between immune-related adverse events (irAEs) and survival in non-small cell lung cancer (NSCLC) and melanoma patients treated with immune checkpoint blockers (ICBs). However, some results are controversial and the studies, whose results converge, should be interpreted cautiously because most of them do not deal appropriately with the immortal-time bias. Here, we report an observational real-life study of the association between prospectively collected irAEs and survival of patients treated with ICBs while dealing with the immortal-time bias. Data from patients treated at Gustave Roussy from June 2014 to October 2017 with anti-PD-(L)1 antibodies for a melanoma or NSCLC have been prospectively collected in the REISAMIC database, a pharmacovigilance registry dedicated to irAEs. Adverse events of grade 2 and higher were collected prospectively. To study the association between the occurrence of irAEs and survival, we used both a landmark analysis and a Cox regression model with time-dependent covariate. 577 patients were treated with anti-PD-(L)1 antibodies for melanoma (60.3 %) or NSCLC (39.7 %). The occurrence of an irAE was significantly associated with improved overall survival (OS): HR 0.56, 95 % CI [0.41; 0.75], p = 0.0001 and progression-free survival (PFS): HR 0.63, 95 % CI [0.47; 0.83], p = 0.001 using a Cox regression model with time-dependent covariate. In a 12-week landmark analysis, median OS was 21.2 months (95 % CI, 12.2 to 35.7) and 16.4 months (95 % CI, 12.4 to 21.3) p = 0.26 and median PFS was 14.3 months (95 % CI, 9.5 to 24.6) and 13.4 months (95 % CI, 10.2 to 18.3) p = 0.66, for patients with and without irAEs, respectively. In our real-life study of patients with melanoma and NSCLC treated with anti-PD-(L)1 antibodies, we confirm that irAEs are associated with improved survival using a time-varying Cox regression model. Analysis with a landmark method showed no difference in OS or PFS between patients who experienced irAE during the first 12 weeks of treatment and those who did not. Retrospective analysis and reviews including studies that do not deal with the immortal-time bias and studies insufficiently powered for a landmark analysis should be interpreted with caution.

Sections du résumé

BACKGROUND BACKGROUND
Numerous retrospective studies and reviews have reported a positive association between immune-related adverse events (irAEs) and survival in non-small cell lung cancer (NSCLC) and melanoma patients treated with immune checkpoint blockers (ICBs). However, some results are controversial and the studies, whose results converge, should be interpreted cautiously because most of them do not deal appropriately with the immortal-time bias. Here, we report an observational real-life study of the association between prospectively collected irAEs and survival of patients treated with ICBs while dealing with the immortal-time bias.
METHODS METHODS
Data from patients treated at Gustave Roussy from June 2014 to October 2017 with anti-PD-(L)1 antibodies for a melanoma or NSCLC have been prospectively collected in the REISAMIC database, a pharmacovigilance registry dedicated to irAEs. Adverse events of grade 2 and higher were collected prospectively. To study the association between the occurrence of irAEs and survival, we used both a landmark analysis and a Cox regression model with time-dependent covariate.
RESULTS RESULTS
577 patients were treated with anti-PD-(L)1 antibodies for melanoma (60.3 %) or NSCLC (39.7 %). The occurrence of an irAE was significantly associated with improved overall survival (OS): HR 0.56, 95 % CI [0.41; 0.75], p = 0.0001 and progression-free survival (PFS): HR 0.63, 95 % CI [0.47; 0.83], p = 0.001 using a Cox regression model with time-dependent covariate. In a 12-week landmark analysis, median OS was 21.2 months (95 % CI, 12.2 to 35.7) and 16.4 months (95 % CI, 12.4 to 21.3) p = 0.26 and median PFS was 14.3 months (95 % CI, 9.5 to 24.6) and 13.4 months (95 % CI, 10.2 to 18.3) p = 0.66, for patients with and without irAEs, respectively.
CONCLUSIONS CONCLUSIONS
In our real-life study of patients with melanoma and NSCLC treated with anti-PD-(L)1 antibodies, we confirm that irAEs are associated with improved survival using a time-varying Cox regression model. Analysis with a landmark method showed no difference in OS or PFS between patients who experienced irAE during the first 12 weeks of treatment and those who did not. Retrospective analysis and reviews including studies that do not deal with the immortal-time bias and studies insufficiently powered for a landmark analysis should be interpreted with caution.

Identifiants

pubmed: 35998515
pii: S0305-7372(22)00121-9
doi: 10.1016/j.ctrv.2022.102452
pii:
doi:

Substances chimiques

Antineoplastic Agents, Immunological 0
Immune Checkpoint Inhibitors 0
Nivolumab 31YO63LBSN

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

102452

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Maria Kfoury (M)

Département d'Innovation Thérapeutique et d'Essais Précoces (DITEP), Gustave Roussy, Villejuif, France; Département d'Oncologie Médicale, Gustave Roussy, Villejuif, France. Electronic address: kfoury.maria@gmail.com.

Marie Najean (M)

Département d'Epidémiologie et de Biostatistiques, Gustave Roussy, Villejuif, France.

Ariane Lappara (A)

Département d'Innovation Thérapeutique et d'Essais Précoces (DITEP), Gustave Roussy, Villejuif, France; Département interdisciplinaire du parcours patient (DIOPP), Gustave Roussy, Villejuif, France.

Anne-Laure Voisin (AL)

Unité de Pharmacovigilance, Gustave Roussy, Villejuif, France.

Stéphane Champiat (S)

Département d'Innovation Thérapeutique et d'Essais Précoces (DITEP), Gustave Roussy, Villejuif, France.

Jean-Marie Michot (JM)

Département d'Innovation Thérapeutique et d'Essais Précoces (DITEP), Gustave Roussy, Villejuif, France.

Salim Laghouati (S)

Unité de Pharmacovigilance, Gustave Roussy, Villejuif, France.

Caroline Robert (C)

Département d'Oncologie Médicale, Gustave Roussy, Villejuif, France; Université Paris Saclay, F-94276 Le Kremlin Bicêtre, France.

Benjamin Besse (B)

Département d'Oncologie Médicale, Gustave Roussy, Villejuif, France; Université Paris Saclay, F-94276 Le Kremlin Bicêtre, France.

Jean-Charles Soria (JC)

Département d'Innovation Thérapeutique et d'Essais Précoces (DITEP), Gustave Roussy, Villejuif, France; Université Paris Saclay, F-94276 Le Kremlin Bicêtre, France.

Olivier Lambotte (O)

Département de Médecine Interne et Immunologie clinique, Assistance Publique-Hôpitaux de Paris, Hôpital Universitaire Bicêtre, F-94275 Le Kremlin Bicêtre, France; INSERM U1184, Immunologie des infections virales et maladies auto-immunes, F-94276 Le Kremlin Bicêtre, France; CEA, DSV/iMETI, IDMIT, F-92265 Fontenay-aux-Roses, France.

Christophe Massard (C)

Université Paris Saclay, F-94276 Le Kremlin Bicêtre, France; Département d'Oncologie Médicale, Centre Eugène Marquis, Rennes, France.

Aurélien Marabelle (A)

Département d'Innovation Thérapeutique et d'Essais Précoces (DITEP), Gustave Roussy, Villejuif, France; Département de Médecine Interne et Immunologie clinique, Assistance Publique-Hôpitaux de Paris, Hôpital Universitaire Bicêtre, F-94275 Le Kremlin Bicêtre, France; INSERM U1015 & CIC1428, Villejuif, France.

Matthieu Texier (M)

Département d'Epidémiologie et de Biostatistiques, Gustave Roussy, Villejuif, France.

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Classifications MeSH