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Dynamics of Long-Term Patient-Reported Quality of Life and Health Behaviors After Adjuvant Breast Cancer Chemotherapy.
Di Meglio, Antonio; Havas, Julie; Gbenou, Arnauld S; Martin, Elise; El-Mouhebb, Mayssam; Pistilli, Barbara; Menvielle, Gwenn; Dumas, Agnes; Everhard, Sibille; Martin, Anne-Laure; Cottu, Paul H; Lerebours, Florence; Coutant, Charles; Lesur, Anne; Tredan, Olivier; Soulie, Patrick; Vanlemmens, Laurence; Joly, Florence; Delaloge, Suzette; Ganz, Patricia A; André, Fabrice; Partridge, Ann H; Jones, Lee W; Michiels, Stefan; Vaz-Luis, Ines.
Afiliación
  • Di Meglio A; Medical Oncology, Gustave Roussy, Villejuif, France.
  • Havas J; INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, University Paris-Saclay, Villejuif, France.
  • Gbenou AS; INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, University Paris-Saclay, Villejuif, France.
  • Martin E; INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, University Paris-Saclay, Villejuif, France.
  • El-Mouhebb M; INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, University Paris-Saclay, Villejuif, France.
  • Pistilli B; INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, University Paris-Saclay, Villejuif, France.
  • Menvielle G; INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, University Paris-Saclay, Villejuif, France.
  • Dumas A; Sorbonne Université, INSERM, IPLESP, Paris, France.
  • Everhard S; Université de Paris, ECEVE UMR 1123, INSERM, Paris, France.
  • Martin AL; UNICANCER, Paris, France.
  • Cottu PH; UNICANCER, Paris, France.
  • Lerebours F; Institut Curie, Paris, France.
  • Coutant C; Institut Curie Saint Cloud, Saint Cloud, France.
  • Lesur A; Centre Georges-François Leclerc, Dijon, France.
  • Tredan O; Institut de Cancérologie de Lorraine, Nancy, France.
  • Soulie P; Centre Léon Bérard, Lyon, France.
  • Vanlemmens L; Centre Paul Papin, Angers, France.
  • Joly F; Centre Oscar Lambret, Lille, France.
  • Delaloge S; Centre Francois Baclesse, Caen, France.
  • Ganz PA; Medical Oncology, Gustave Roussy, Villejuif, France.
  • André F; University of California, Los Angeles, CA.
  • Partridge AH; Medical Oncology, Gustave Roussy, Villejuif, France.
  • Jones LW; INSERM Unit 981, Molecular Predictors and New Targets in Oncology, Gustave Roussy, University Paris-Saclay, Villejuif, France.
  • Michiels S; Dana-Farber Cancer Institute, Boston, MA.
  • Vaz-Luis I; Memorial Sloan Kettering Cancer Center, New York, NY.
J Clin Oncol ; 40(27): 3190-3204, 2022 09 20.
Article en En | MEDLINE | ID: mdl-35446677
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Calidad de Vida / Neoplasias de la Mama Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: J Clin Oncol Año: 2022 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Calidad de Vida / Neoplasias de la Mama Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: J Clin Oncol Año: 2022 Tipo del documento: Article País de afiliación: Francia