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Dynamics of Long-Term Patient-Reported Quality of Life and Health Behaviors After Adjuvant Breast Cancer Chemotherapy

Authors :
Antonio Di Meglio
Julie Havas
Arnauld S. Gbenou
Elise Martin
Mayssam El-Mouhebb
Barbara Pistilli
Gwenn Menvielle
Agnes Dumas
Sibille Everhard
Anne-Laure Martin
Paul H. Cottu
Florence Lerebours
Charles Coutant
Anne Lesur
Olivier Tredan
Patrick Soulie
Laurence Vanlemmens
Florence Joly
Suzette Delaloge
Patricia A. Ganz
Fabrice André
Ann H. Partridge
Lee W. Jones
Stefan Michiels
Ines Vaz-Luis
Institut Gustave Roussy (IGR)
Prédicteurs moléculaires et nouvelles cibles en oncologie (PMNCO)
Institut Gustave Roussy (IGR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay
Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP)
Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)
Epidémiologie Clinique et Evaluation Economique Appliquées aux Populations Vulnérables (ECEVE (U1123 / UMR_S_1123))
Institut National de la Santé et de la Recherche Médicale (INSERM)-AP-HP Hôpital universitaire Robert-Debré [Paris]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Cité (UPCité)
UNICANCER
Institut Curie [Paris]
Institut Curie - Saint Cloud (ICSC)
Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL)
Institut de Cancérologie de Lorraine - Alexis Vautrin [Nancy] (UNICANCER/ICL)
Centre Léon Bérard [Lyon]
CRLCC Paul Papin
Centre Régional de Lutte contre le Cancer Oscar Lambret [Lille] (UNICANCER/Lille)
Université de Lille-UNICANCER
Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC)
Normandie Université (NU)-UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)
Département de médecine oncologique [Gustave Roussy]
University of California [Los Angeles] (UCLA)
University of California (UC)
Dana-Farber Cancer Institute [Boston]
Memorial Sloane Kettering Cancer Center [New York]
Service de biostatistique et d'épidémiologie (SBE)
Direction de la recherche clinique [Gustave Roussy]
Institut Gustave Roussy (IGR)-Institut Gustave Roussy (IGR)
Oncostat (U1018 (Équipe 2))
Institut Gustave Roussy (IGR)-Centre de recherche en épidémiologie et santé des populations (CESP)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay
ANR-18-IBHU-0002,PRISM,PRecISion Medicine Institute in oncology(2018)
Source :
Journal of Clinical Oncology, Journal of Clinical Oncology, 2022, 40 (27), pp.3190--3204. ⟨10.1200/JCO.21.00277⟩, Journal of clinical oncology : official journal of the American Society of Clinical Oncology, vol 40, iss 27
Publication Year :
2022
Publisher :
American Society of Clinical Oncology (ASCO), 2022.

Abstract

PURPOSE We aimed to characterize long-term quality of life (QOL) trajectories among patients with breast cancer treated with adjuvant chemotherapy and to identify related patterns of health behaviors. METHODS Female stage I-III breast cancer patients receiving chemotherapy in CANTO (CANcer TOxicity; ClinicalTrials.gov identifier: NCT01993498 ) were included. Trajectories of QOL (European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire–C30 Summary Score) and associations with trajectory group membership were identified by iterative estimations of group-based trajectory models and multivariable multinomial logistic regression, respectively. RESULTS Four trajectory groups were identified (N = 4,131): excellent (51.7%), very good (31.7%), deteriorating (10.0%), and poor (6.6%) QOL. The deteriorating trajectory group reported fairly good baseline QOL (mean [95% CI], 78.3/100 [76.2 to 80.5]), which significantly worsened at year-1 (58.1/100 [56.4 to 59.9]) and never recovered to pretreatment values through year-4 (61.1/100 [59.0 to 63.3]) postdiagnosis. Healthy behaviors were associated with better performing trajectory groups. Obesity (adjusted odds ratio [aOR] v lean, 1.51 [95% CI, 1.28 to 1.79]; P < .0001) and current smoking (aOR v never, 1.52 [95% CI, 1.27 to 1.82]; P < .0001) at diagnosis were associated with membership to the deteriorating group, which was also characterized by a higher prevalence of patients with excess body weight and insufficient physical activity through year-4 and by frequent exposure to tobacco smoking during chemotherapy. Additional factors associated with membership to the deteriorating group included younger age (aOR, 1-year decrement 1.01 [95% CI, 1.01 to 1.02]; P = .043), comorbidities (aOR v no, 1.22 [95% CI, 1.06 to 1.40]; P = .005), lower income (aOR v wealthier households, 1.21 [95% CI, 1.07 to 1.37]; P = .002), and endocrine therapy (aOR v no, 1.14 [95% CI, 1.01 to 1.30]; P = .047). CONCLUSION This latent-class analysis identified some patients with upfront poor QOL and a high-risk cluster with severe, persistent postchemotherapy QOL deterioration. Screening relevant patient-level characteristics may inform tailored interventions to mitigate the detrimental impact of chemotherapy and preserve QOL, including early addressal of behavioral concerns and provision of healthy lifestyle support programs.

Details

ISSN :
15277755 and 0732183X
Volume :
40
Database :
OpenAIRE
Journal :
Journal of Clinical Oncology
Accession number :
edsair.doi.dedup.....83e7fab50997bc73fd56d6a9f33ea69d
Full Text :
https://doi.org/10.1200/jco.21.00277