TY - JOUR
T1 - Long-term behavioral symptom clusters among survivors of early-stage breast cancer
T2 - Development and validation of a predictive model
AU - Pagliuca, Martina
AU - Havas, Julie
AU - Thomas, Emilie
AU - Drouet, Youenn
AU - Soldato, Davide
AU - Franzoi, Maria Alice
AU - Ribeiro, Joana
AU - Chiodi, Camila K.
AU - Gillanders, Emma
AU - Pistilli, Barbara
AU - Menvielle, Gwenn
AU - Joly, Florence
AU - Lerebours, Florence
AU - Rigal, Olivier
AU - Petit, Thierry
AU - Giacchetti, Sylvie
AU - Dalenc, Florence
AU - Wassermann, Johanna
AU - Arsene, Olivier
AU - Martin, Anne Laure
AU - Everhard, Sibille
AU - Tredan, Olivier
AU - Boyault, Sandrine
AU - Laurentiis, Michelino De
AU - Viari, Alain
AU - Deleuze, Jean Francois
AU - Bertaut, Aurelie
AU - Andre, Fabrice
AU - Vaz-Luis, Ines
AU - Meglio, Antonio Di
N1 - Publisher Copyright:
© The Author(s) 2024. Published by Oxford University Press. All rights reserved.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - Background: Fatigue, cognitive impairment, anxiety, depression, and sleep disturbance are cancer-related behavioral symptoms that may persist years after early-stage breast cancer, affecting quality of life. We aimed to generate a predictive model of long-term cancer-related behavioral symptoms clusters among breast cancer survivors 4 years after diagnosis. Methods: Patients with early-stage breast cancer were included from the CANcer TOxicity trial (ClinicalTrials.gov identifier NCT01993498). Our outcome was the proportion of patients reporting cancer-related behavioral symptoms clusters 4 years after diagnosis (≥3 severe symptoms). Predictors, including clinical, behavioral, and treatment-related characteristics; Behavioral Symptoms Score (BSS; 1 point per severe cancer-related behavioral symptom at diagnosis); and a proinflammatory cytokine (interleukin 1b; interleukin 6; tumor necrosis factor α) genetic risk score were tested using multivariable logistic regression, implementing bootstrapped augmented backwards elimination. A 2-sided P less than .05 defined statistical significance. Results: In the development cohort (n ¼ 3555), 642 patients (19.1%) reported a cluster of cancer-related behavioral symptoms at diagnosis, and 755 (21.2%) did so 4 years after diagnosis. Younger age (adjusted odds ratio for 1-year decrement ¼ 1.012, 95% confidence interval [CI] ¼ 1.003 to 1.020), previous psychiatric disorders (adjusted odds ratio vs no ¼ 1.27, 95% CI ¼ 1.01 to 1.60), and BSS (adjusted odds ratio ranged from 2.17 [95% CI ¼ 1.66 to 2.85] for BSS ¼ 1 vs 0 to 12.3 [95% CI ¼ 7.33 to 20.87] for BSS ¼ 5 vs 0) were predictors of reporting a cluster of cancer-related behavioral symptoms (area under the curve ¼ 0.73, 95% CI ¼ 0.71 to 0.75). Genetic risk score was not predictive of these symptoms. Results were confirmed in the validation cohort (n ¼ 1533). Conclusion: Younger patients with previous psychiatric disorders and higher baseline symptom burden have greater risk of long-term clusters of cancer-related behavioral symptoms. Our model might be implemented in clinical pathways to improve management and test the effectiveness of risk-mitigation interventions among breast cancer survivors.
AB - Background: Fatigue, cognitive impairment, anxiety, depression, and sleep disturbance are cancer-related behavioral symptoms that may persist years after early-stage breast cancer, affecting quality of life. We aimed to generate a predictive model of long-term cancer-related behavioral symptoms clusters among breast cancer survivors 4 years after diagnosis. Methods: Patients with early-stage breast cancer were included from the CANcer TOxicity trial (ClinicalTrials.gov identifier NCT01993498). Our outcome was the proportion of patients reporting cancer-related behavioral symptoms clusters 4 years after diagnosis (≥3 severe symptoms). Predictors, including clinical, behavioral, and treatment-related characteristics; Behavioral Symptoms Score (BSS; 1 point per severe cancer-related behavioral symptom at diagnosis); and a proinflammatory cytokine (interleukin 1b; interleukin 6; tumor necrosis factor α) genetic risk score were tested using multivariable logistic regression, implementing bootstrapped augmented backwards elimination. A 2-sided P less than .05 defined statistical significance. Results: In the development cohort (n ¼ 3555), 642 patients (19.1%) reported a cluster of cancer-related behavioral symptoms at diagnosis, and 755 (21.2%) did so 4 years after diagnosis. Younger age (adjusted odds ratio for 1-year decrement ¼ 1.012, 95% confidence interval [CI] ¼ 1.003 to 1.020), previous psychiatric disorders (adjusted odds ratio vs no ¼ 1.27, 95% CI ¼ 1.01 to 1.60), and BSS (adjusted odds ratio ranged from 2.17 [95% CI ¼ 1.66 to 2.85] for BSS ¼ 1 vs 0 to 12.3 [95% CI ¼ 7.33 to 20.87] for BSS ¼ 5 vs 0) were predictors of reporting a cluster of cancer-related behavioral symptoms (area under the curve ¼ 0.73, 95% CI ¼ 0.71 to 0.75). Genetic risk score was not predictive of these symptoms. Results were confirmed in the validation cohort (n ¼ 1533). Conclusion: Younger patients with previous psychiatric disorders and higher baseline symptom burden have greater risk of long-term clusters of cancer-related behavioral symptoms. Our model might be implemented in clinical pathways to improve management and test the effectiveness of risk-mitigation interventions among breast cancer survivors.
UR - http://www.scopus.com/inward/record.url?scp=85213311944&partnerID=8YFLogxK
U2 - 10.1093/jnci/djae222
DO - 10.1093/jnci/djae222
M3 - Article
C2 - 39250750
AN - SCOPUS:85213311944
SN - 0027-8874
VL - 117
SP - 89
EP - 102
JO - Journal of the National Cancer Institute
JF - Journal of the National Cancer Institute
IS - 1
ER -