Breast cancer patients treated with intrathecal therapy for leptomeningeal metastases in a large real-life database.


Journal

ESMO open
ISSN: 2059-7029
Titre abrégé: ESMO Open
Pays: England
ID NLM: 101690685

Informations de publication

Date de publication:
06 2021
Historique:
received: 05 04 2021
revised: 12 04 2021
accepted: 15 04 2021
pubmed: 14 5 2021
medline: 30 10 2021
entrez: 13 5 2021
Statut: ppublish

Résumé

Leptomeningeal metastasis (LM) is a rare complication of metastatic breast cancer (MBC), with high morbidity/mortality rates. Our study aimed to describe the largest-to-date real-life population of MBC patients treated with intrathecal (IT) therapy and to evaluate prognostic models. The Epidemiological Strategy and Medical Economics (ESME) MBC database (NCT03275311) includes all consecutive patients who have initiated treatment for MBC since 2008. Overall survival (OS) of patients treated with IT therapy was estimated using the Kaplan-Meier method. Prognostic models were constructed using Cox proportional hazards models. Performance was evaluated using C-index and calibration plots. Of the 22 266 patients included in the database between 2008 and 2016, 312 received IT therapy and were selected for our analysis. Compared with non-IT-treated patients, IT-treated patients were younger at MBC relapse (median age: 52 years versus 61 years) and more often had lobular histology (23.4% versus 12.7%) or triple-negative subtype (24.7% versus 13.3%) (all P < 0.001). Median OS was 4.5 months [95% confidence interval (CI) 3.8-5.6] and 1-year survival rate was 25.6%. Significant prognostic factors associated with poorer outcome on multivariable analysis were triple-negative subtype (hazard ratio 1.81, 95% CI 1.32-2.47), treatment line ≥3 (hazard ratio 1.88, 95% CI 1.30-2.73), ≥3 other metastatic sites (hazard ratio 1.33, 95% CI 1.01-1.74) and IT cytarabine or thiotepa versus methotrexate (hazard ratio 1.68, 95% CI 1.28-2.22), while concomitant systemic therapy was associated with better OS (hazard ratio 0.47, 95% CI 0.35-0.62) (all P < 0.001). We validated two previously published prognostic scores, the Curie score and the Breast-graded prognostic assessment, both with C-index of 0.57. MBC patients with LM treated with IT therapy have a poor prognosis. We could identify a subgroup of patients with better prognosis, when concomitant systemic therapy and IT methotrexate were used.

Sections du résumé

BACKGROUND
Leptomeningeal metastasis (LM) is a rare complication of metastatic breast cancer (MBC), with high morbidity/mortality rates. Our study aimed to describe the largest-to-date real-life population of MBC patients treated with intrathecal (IT) therapy and to evaluate prognostic models.
METHODS
The Epidemiological Strategy and Medical Economics (ESME) MBC database (NCT03275311) includes all consecutive patients who have initiated treatment for MBC since 2008. Overall survival (OS) of patients treated with IT therapy was estimated using the Kaplan-Meier method. Prognostic models were constructed using Cox proportional hazards models. Performance was evaluated using C-index and calibration plots.
RESULTS
Of the 22 266 patients included in the database between 2008 and 2016, 312 received IT therapy and were selected for our analysis. Compared with non-IT-treated patients, IT-treated patients were younger at MBC relapse (median age: 52 years versus 61 years) and more often had lobular histology (23.4% versus 12.7%) or triple-negative subtype (24.7% versus 13.3%) (all P < 0.001). Median OS was 4.5 months [95% confidence interval (CI) 3.8-5.6] and 1-year survival rate was 25.6%. Significant prognostic factors associated with poorer outcome on multivariable analysis were triple-negative subtype (hazard ratio 1.81, 95% CI 1.32-2.47), treatment line ≥3 (hazard ratio 1.88, 95% CI 1.30-2.73), ≥3 other metastatic sites (hazard ratio 1.33, 95% CI 1.01-1.74) and IT cytarabine or thiotepa versus methotrexate (hazard ratio 1.68, 95% CI 1.28-2.22), while concomitant systemic therapy was associated with better OS (hazard ratio 0.47, 95% CI 0.35-0.62) (all P < 0.001). We validated two previously published prognostic scores, the Curie score and the Breast-graded prognostic assessment, both with C-index of 0.57.
CONCLUSIONS
MBC patients with LM treated with IT therapy have a poor prognosis. We could identify a subgroup of patients with better prognosis, when concomitant systemic therapy and IT methotrexate were used.

Identifiants

pubmed: 33984675
pii: S2059-7029(21)00110-1
doi: 10.1016/j.esmoop.2021.100150
pmc: PMC8134714
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT03275311']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

100150

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Disclosure MCapone reports personal fees (consulting, advisory) from Lilly, Novartis, GT1, Daiichi Sankyo and fees to the institution from AstraZeneca, Sanofi, Servier and AbbVie, outside the submitted work. All other authors have declared no conflicts of interest.

Auteurs

M Carausu (M)

Department of Medical Oncology, Institut Curie, Saint-Cloud and Paris, France.

M Carton (M)

Department of Biostatistics, Institut Curie, Saint Cloud, France.

A Darlix (A)

Department of Medical Oncology, Institut régional du Cancer de Montpellier (ICM), University of Montpellier, Montpellier, France.

D Pasquier (D)

Academic Department of Radiation Oncology, Centre Oscar Lambret, Lille, France.

M Leheurteur (M)

Department of Medical Oncology, Centre Henri Becquerel, Rouen, France.

M Debled (M)

Department of Medical Oncology, Institut Bergonié, Bordeaux, France.

M A Mouret-Reynier (MA)

Department of Medical Oncology, Centre Jean Perrin, Clermont Ferrand, France.

A Goncalves (A)

Department of Medical Oncology, Institut Paoli-Calmettes, Marseille, France.

F Dalenc (F)

Department of Medical Oncology, Institut Claudius Regaud - IUCT Oncopole, Toulouse, France.

B Verret (B)

Department of Medical Oncology, Institut Gustave Roussy, Villejuif, France.

M Campone (M)

Department of Medical Oncology, Institut de Cancérologie de l'Ouest - Centre René Gauducheau, Saint Herblain, France.

P Augereau (P)

Department of Medical Oncology, Institut de Cancérologie de l'Ouest, Angers, France.

J M Ferrero (JM)

Department of Medical Oncology, Centre Antoine Lacassagne, Nice, France.

C Levy (C)

Department of Medical Oncology, Centre François Baclesse, Caen, France.

J-D Fumet (JD)

Department of Medical Oncology, Centre Georges François Leclerc, Dijon, France.

C Lefeuvre-Plesse (C)

Medical Oncology Department, Centre Eugéne Marquis, Rennes, France.

T Petit (T)

Department of Medical Oncology, Centre Paul Strauss, Strasbourg, France.

L Uwer (L)

Department of Medical Oncology, Institut de Cancérologie de Lorraine, Vandœuvre-lès-Nancy, France.

C Jouannaud (C)

Department of Medical Oncology, Institut de Cancérologie Jean-Godinot, Reims, France.

L Larrouquere (L)

Department of Medical Oncology, Centre Léon Bérard, Lyon, France.

M Chevrot (M)

Data Office, Unicancer, Paris, France.

C Courtinard (C)

Data Office, Unicancer, Paris, France; Université de Bordeaux, Inserm, Bordeaux Population Health Research Center, Epicene team, UMR 1219, Bordeaux, France.

L Cabel (L)

Department of Medical Oncology, Institut Curie, Saint-Cloud and Paris, France. Electronic address: luc.cabel@curie.fr.

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Classifications MeSH