Characteristics, management, and healthcare resources of patients with advanced non-small-cell lung cancer surviving 5 years after nivolumab treatment initiation: A national database analysis.

Immunotherapy Long-term survivors Machine learning Non-small cell lung cancer PMSI

Journal

Respiratory medicine and research
ISSN: 2590-0412
Titre abrégé: Respir Med Res
Pays: France
ID NLM: 101746324

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 04 07 2023
revised: 19 09 2023
accepted: 26 09 2023
pubmed: 29 10 2023
medline: 29 10 2023
entrez: 28 10 2023
Statut: ppublish

Résumé

Data on long-term survivors with advanced non-small-cell lung cancer (NSCLC) treated with nivolumab are available from randomized trials. Characteristics, management, and healthcare resources of those patients need to be confirmed with real-world data. The UNIVOC retrospective observational study included all patients with advanced NSCLC recorded in the French national hospital database starting nivolumab in 2015 and followed them until December 2020. The Kaplan-Meier method estimated the overall survival (OS). A machine learning approach identified patients with similar treatment sequences. Within the 3,050 patients who had nivolumab initiation,5-year OS rate was 14.6 % (95 %CI 13.3 %-16.2 %). In total, data covering at least 5 years of follow-up were retrieved for 231 surviving patients. Survivors were younger, often female and had fewer comorbidities than non-survivors. Three clusters of patients with different nivolumab treatment durations were identified: 1/ Continuous nivolumab treatment; 2/ Long period of nivolumab treatment followed by chemotherapy or no treatment; 3/ Short period of nivolumab treatment then chemotherapy or no treatment. At 5 years, 61.0 % of survivors were no longer receiving systemic therapy, 26.4 % were treated with nivolumab, 8.7 % chemotherapy, and 3.9 % other immunotherapies. Among 5-y survivor patients, the average number of hospitalisations per patient decreased from 23.4 to 12.8 between the 1st and the 5th year. In the 5th year, 46 % of patients had no more hospitalization for lung cancer. This large nationwide study confirms the long-term benefit of nivolumab treatment for advanced NSCLC patients in the real-world setting, with a 5-year survival rate similar to that reported in clinical trials.

Sections du résumé

BACKGROUND BACKGROUND
Data on long-term survivors with advanced non-small-cell lung cancer (NSCLC) treated with nivolumab are available from randomized trials. Characteristics, management, and healthcare resources of those patients need to be confirmed with real-world data.
METHODS METHODS
The UNIVOC retrospective observational study included all patients with advanced NSCLC recorded in the French national hospital database starting nivolumab in 2015 and followed them until December 2020. The Kaplan-Meier method estimated the overall survival (OS). A machine learning approach identified patients with similar treatment sequences.
RESULTS RESULTS
Within the 3,050 patients who had nivolumab initiation,5-year OS rate was 14.6 % (95 %CI 13.3 %-16.2 %). In total, data covering at least 5 years of follow-up were retrieved for 231 surviving patients. Survivors were younger, often female and had fewer comorbidities than non-survivors. Three clusters of patients with different nivolumab treatment durations were identified: 1/ Continuous nivolumab treatment; 2/ Long period of nivolumab treatment followed by chemotherapy or no treatment; 3/ Short period of nivolumab treatment then chemotherapy or no treatment. At 5 years, 61.0 % of survivors were no longer receiving systemic therapy, 26.4 % were treated with nivolumab, 8.7 % chemotherapy, and 3.9 % other immunotherapies. Among 5-y survivor patients, the average number of hospitalisations per patient decreased from 23.4 to 12.8 between the 1st and the 5th year. In the 5th year, 46 % of patients had no more hospitalization for lung cancer.
CONCLUSIONS CONCLUSIONS
This large nationwide study confirms the long-term benefit of nivolumab treatment for advanced NSCLC patients in the real-world setting, with a 5-year survival rate similar to that reported in clinical trials.

Identifiants

pubmed: 37897879
pii: S2590-0412(23)00063-6
doi: 10.1016/j.resmer.2023.101051
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

101051

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Masson SAS.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest JBA report no conflict of interest CC reports AZ, BI, GSK, Roche, Sanofi Aventis, BMS, MSD, Lilly, Novartis, Pfizer, Takeda, Bayer, Janssen, Viatris, Chugai, and Amgen for Advisory Board, research funding, honoraria, and travels AB, RJ and BJ work for Heva, the CRO which conducted the study on behalf of BRISTOL MYERS SQUIBB. VG has a PhD contract partly funded by Bristol Myers Squibb AFG, DR and FEC are employees of Bristol Myers Squibb

Auteurs

Jean-Baptiste Assié (JB)

Functional Genomics of Solid Tumors Laboratory, Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, Université de Paris, Paris, France; Centre Hospitalier Intercommunal Créteil, Créteil, France.

Valentine Grumberg (V)

Bristol Myers Squibb France, 3 rue Joseph Monier, Rueil-Malmaison 92500, France; Oncostat - U1018, INSERM, Paris Saclay University, "Ligue Contre le Cancer" Labeled Team, Villejuif, France. Electronic address: Valentine.grumberg@bms.com.

Dorothée Reynaud (D)

Bristol Myers Squibb France, 3 rue Joseph Monier, Rueil-Malmaison 92500, France.

Anne-Françoise Gaudin (AF)

Bristol Myers Squibb France, 3 rue Joseph Monier, Rueil-Malmaison 92500, France.

Alexandre Batisse (A)

Heva, 186 Avenue Thiers, 69006 Lyon, France.

Ronan Jolivel (R)

Heva, 186 Avenue Thiers, 69006 Lyon, France.

Baptiste Jouaneton (B)

Heva, 186 Avenue Thiers, 69006 Lyon, France.

François-Emery Cotté (FE)

Bristol Myers Squibb France, 3 rue Joseph Monier, Rueil-Malmaison 92500, France.

Christos Chouaïd (C)

Centre Hospitalier Intercommunal Créteil, Créteil, France.

Classifications MeSH