Association between physical activity and neoadjuvant chemotherapy completion and pathologic complete response in primary breast cancer: the CANTO study.

BACKGROUND: Regular physical activity is associated with improved symptom control in patients with breast cancer but its association with chemotherapy completion or response is unclear. METHODS: Using a prospective design, 1075 breast cancer patients receiving neoadjuvant chemotherapy between March 2012 and February 2017 were studied. Physical activity was assessed using the Global Physical Activity Questionnaire [GPAQ-16], quantified in standardised MET-h/wk. Chemotherapy completion was defined as the proportion of patients completing planned treatment course, requiring dose reduction, or requiring dose delay. Response was evaluated by pathologic complete response (pCR). Associations between physical activity and primary outcomes were assessed using multivariable logistic regression models. RESULTS: There was no differences between any chemotherapy completion outcome on the basis of physical activity classification. The percent of patients not completing planned treatment was 5.7% for ≦0.33 MET-h/wk, compared with 6.8% for 0.34-16.65 MET-h/wk, and 4.6% for ≥16.6 MET-h/wk (p = 0.52). No significant relationships were observed between physical activity dose classification and pCR for the overall cohort or upon stratification by clinical subtype. CONCLUSION: Future studies are required to further investigate the relationship between pre-treatment levels of physical activity and function on treatment completion and response in breast and other cancer populations. CLINICAL TRIAL REGISTRATION: NCT01993498.

Uptake of Recommendations for Posttreatment Cancer-Related Fatigue Among Breast Cancer Survivors.

BACKGROUND: Physical activity (PA) and psychosocial interventions are recommended management strategies for cancer-related fatigue (CRF). Randomized trials support the use of mind-body techniques, whereas no data show benefit for homeopathy or naturopathy. METHODS: We used data from CANTO (ClinicalTrials.gov identifier: NCT01993498), a multicenter, prospective study of stage I-III breast cancer (BC). CRF, evaluated after primary treatment completion using the EORTC QLQ-C30 (global CRF) and QLQ-FA12 (physical, emotional, and cognitive dimensions), served as the independent variable (severe [score of ≥40/100] vs nonsevere). Outcomes of interest were adherence to PA recommendations (≥10 metabolic equivalent of task [MET] h/week [GPAQ-16]) and participation in consultations with a psychologist, psychiatrist, acupuncturist, or other complementary and alternative medicine (CAM) practitioner (homeopath and/or naturopath) after CRF assessment. Multivariable logistic regression examined associations between CRF and outcomes, adjusting for sociodemographic, psychologic, tumor, and treatment characteristics. RESULTS: Among 7,902 women diagnosed from 2012 through 2017, 36.4% reported severe global CRF, and 35.8%, 22.6%, and 14.1% reported severe physical, emotional, and cognitive CRF, respectively. Patients reporting severe global CRF were less likely to adhere to PA recommendations (60.4% vs 66.7%; adjusted odds ratio [aOR], 0.82; 95% CI, 0.71-0.94; P=.004), and slightly more likely to see a psychologist (13.8% vs 7.5%; aOR, 1.29; 95% CI, 1.05-1.58; P=.014), psychiatrist (10.4% vs 5.0%; aOR, 1.39; 95% CI, 1.10-1.76; P=.0064), acupuncturist (9.8% vs 6.5%; aOR, 1.46; 95% CI, 1.17-1.82; P=.0008), or CAM practitioner (12.5% vs 8.2%; aOR, 1.49; 95% CI, 1.23-1.82; P<.0001). There were differences in recommendation uptake by CRF dimension, including that severe physical CRF was associated with lower adherence to PA (aOR, 0.74; 95% CI, 0.63-0.86; P=.0001) and severe emotional CRF was associated with higher likelihood of psychologic consultations (aOR, 1.37; 95% CI, 1.06-1.79; P=.017). CONCLUSIONS: Uptake of recommendations to improve CRF, including adequate PA and use of psychosocial services, seemed suboptimal among patients with early-stage BC, whereas there was a nonnegligible interest in homeopathy and naturopathy. Findings of this large study indicate the need to implement recommendations for managing CRF in clinical practice.

Unhealthy behaviors after breast cancer: Capitalizing on a teachable moment to promote lifestyle improvements.

BACKGROUND: This study assessed the prevalence and risk factors of unhealthy behaviors among survivors of early-stage breast cancer. METHODS: Women (n = 9556) from the CANcer TOxicity cohort (NCT01993498) were included. Physical activity (PA), tobacco and alcohol consumption, and body mass index were assessed at diagnosis and at years 1 and 2 after diagnosis. A behavior was defined as unhealthy if patients failed to meet PA recommendations (≥10 metabolic equivalent task hours per week), reduce/quit tobacco, or decrease alcohol consumption to less than daily, or if they gained substantial weight over time. Multivariable-adjusted generalized estimating equations explored associations with unhealthy behaviors. RESULTS: At diagnosis, 41.7% of patients were inactive, 18.2% currently used tobacco, 14.6% consumed alcohol daily, and 48.9% were overweight or obese. At years 1 and 2, unhealthy PA behavior was reported among 37.0% and 35.6% of patients, respectively, unhealthy tobacco use behavior was reported among 11.4% and 9.5%, respectively, and unhealthy alcohol behavior was reported among 13.1% and 12.6%, respectively. In comparison with the previous assessment, 9.4% and 5.9% of underweight and normal-weight patients had transitioned to the overweight or obese category at years 1 and 2, respectively, and 15.4% and 16.2% of overweight and obese patients had gained ≥5% of their weight at years 1 and 2, respectively. One in 3 current tobacco smokers and 1 in 10 daily alcohol users reported improved behaviors after diagnosis. Older women (5-year increment) were more likely to be inactive (adjusted odds ratio [aOR], 1.03; 95% confidence interval [CI], 1.01-1.05) and report unhealthy alcohol behavior (aOR, 1.28; 95% CI, 1.23-1.33) but were less likely to engage in unhealthy tobacco use (aOR, 0.81; 95% CI, 0.78-0.85). Being at risk for depression (vs not being at risk for depression) was associated with reduced odds of unhealthy tobacco use (aOR, 0.67; 95% CI, 0.46-0.97) and with a higher likelihood of unhealthy alcohol behavior (aOR, 1.58; 95% CI, 1.14-2.19). Women with a college education (vs a primary school education) less frequently reported an unhealthy PA behavior (aOR, 0.61; 95% CI, 0.51-0.73) and were more likely to report unhealthy alcohol behavior (aOR, 1.85; 95% CI, 1.37-2.49). Receipt of chemotherapy (vs not receiving chemotherapy) was associated with higher odds of gaining weight (aOR, 1.51; 95% CI, 1.23-1.87) among those who were overweight or obese at diagnosis. CONCLUSIONS: The majority of women were adherent to healthy lifestyle behaviors at the time of their breast cancer diagnosis, but a significant subset was nonadherent. Unhealthy behaviors tended to persist after the breast cancer diagnosis, having varying clinical, psychological, sociodemographic, and treatment-related determinants. This study will inform more targeted interventions to promote optimal health.

Determinants of use of oral complementary-alternative medicine among women with early breast cancer: a focus on cancer-related fatigue.

BACKGROUND: Despite the questionable effectiveness of oral complementary and alternative medicine (OCAM) in relieving cancer-related symptoms, including fatigue (CRF), many patients use it aiming to improve their quality of life. We assessed factors associated with OCAM use, focusing on CRF. METHODS: Women with stage I-III breast cancer (BC) were included from CANTO (NCT01993498). OCAM use was defined as taking homeopathy, vitamins/minerals, or herbal/dietary supplements. Multivariable multinomial logistic regressions evaluated associations of CRF (EORTC QLQ-C30), patient, and treatment characteristics with OCAM use. RESULTS: Among 5237 women, 23.0% reported OCAM use overall (49.3% at diagnosis, 50.7% starting post-diagnosis), mostly homeopathy (65.4%). Mean (SD) CRF score was 27.6 (24.0) at diagnosis and 35.1 (25.3) at post-diagnosis. More intense CRF was consistently associated with OCAM use at diagnosis and post-diagnosis [adjusted odds ratio (aOR) for 10-point increase 1.05 (95% Confidence interval 1.01-1.09) and 1.04 (1.01-1.09) vs. never use, respectively]. Odds of using OCAM at diagnosis were higher among older [for 5-year increase, 1.09 (1.04-1.14)] and more educated patients [college vs. primary 1.80 (1.27-2.55)]. Women with income > 3000 [vs. < 1500 euros/month, 1.44 (1.02-2.03)], anxiety [vs. not, 1.25 (1.01-1.54)], and those receiving chemotherapy [vs. not, 1.32 (1.04-1.68)] had higher odds of using OCAM post-diagnosis. CONCLUSION: One-in-four patients reported use of OCAM. More severe CRF was consistently associated with its use. Moreover, older, better educated, wealthier, more anxious women, and those receiving chemotherapy seemed more prone to use OCAM. Characterizing profiles of BC patients more frequently resorting to OCAM may help deliver targeted information about its benefits and potential risks.

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

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.

Use of mHealth to Increase Physical Activity Among Breast Cancer Survivors With Fatigue: Qualitative Exploration.

BACKGROUND: Physical activity has shown beneficial effects in the treatment of breast cancer fatigue; nevertheless, a significant portion of patients remain insufficiently physically active after breast cancer. Currently most patients have a smartphone, and therefore mobile health (mHealth) holds the promise of promoting health behavior uptake for many of them. OBJECTIVE: In this study, we explored representations, levers, and barriers to physical activity and mHealth interventions among inactive breast cancer patients with fatigue. METHODS: This was an exploratory, qualitative study including breast cancer patients from a French cancer center. A total of 4 focus groups were conducted with 9 patients; 2 independent groups of patients (groups A and B) were interviewed at 2 consecutive times (sessions 1 to 4), before and after their participation in a 2-week mHealth group experience consisting of (1) a competitive virtual exercise group activity (a fictitious world tour), (2) participation in a daily chat network, and (3) access to physical activity information and world tour classification feedback. We used a thematic content analysis. RESULTS: Several physical activity levers emerged including (1) physical factors such as perception of physical benefit and previous practice, (2) psychological factors such as motivation increased by provider recommendations, (3) social factors such as group practice, and (4) organizational factors including preplanning physical activity sessions. The main barriers to physical activity identified included late effects of cancer treatment, lack of motivation, and lack of time. The lack of familiarity with connected devices was perceived as the main barrier to the use of mHealth as a means to promote physical activity. The tested mHealth group challenge was associated with several positive representations including well-being and good habit promotion and being a motivational catalyzer. Following feedback, modifications were implemented into the mHealth challenge. CONCLUSIONS: mHealth-based, easily accessed group challenges were perceived as levers for the practice of physical activity in this population. mHealth-based group challenges should be explored as options to promote physical activity in a population with fatigue after breast cancer.

Long-term patient reported outcomes and hematologic toxicity among patients who received Granulocyte-Colony Stimulating Factors during chemotherapy for early breast cancer.

We assessed long-term associations of Granulocyte-Colony Stimulating Factors (G-CSF) use with patient-reported outcomes (PROs) and hematologic toxicity among chemotherapy-treated, early-stage breast cancer patients in CANTO (NCT01993498). Among 2920 patients longitudinally followed-up until year-4 after diagnosis, 49% used G-CSF. In multivariable-adjusted mixed-models, EORTC QLQ-C30 pain and summary score were not substantially different between groups (overall adjusted mean difference, use vs no-use [95%CI]: +1.27 [-0.33 to +2.87] and -1.01 [-1.98 to -0.04], respectively). PROs were slightly worse at year-4 among patients receiving G-CSF, although differences were of trivial clinical significance. No major differences were observed in leukocyte or platelet count over time.

Body weight and return to work among survivors of early-stage breast cancer.

BACKGROUND: Many breast cancer (BC) survivors are employed at diagnosis and are expected to return to work after treatment. Among them, around 50% are overweight or obese. There are limited data about the impact of body weight on their ability to return to work. METHODS: We used data from CANcer TOxicity (NCT01993498), a prospective, multicentre cohort of women with stage I-III BC. Professionally active women who were ≥5 years younger than retirement age were identified. Multivariable logistic regression models examined associations of body mass index (BMI) at diagnosis and subsequent weight changes with non-return to work 2 years after diagnosis, adjusting for psychosocial, treatment and behavioural characteristics. RESULTS: Among 1869 women, 689 were overweight or obese. Overall, 398 patients (21.3%) had not returned to work 2 years after diagnosis. Non-return to work was more likely for overweight or obese than underweight or normal weight patients (adjusted OR (aOR) 1.32; 95% CI, 1.01 to 1.75; p=0.045). Weight loss (≥5%) was observed in 15.7% overweight or obese and 8.7% underweight or normal weight patients and was associated with significant increases in physical activity only among overweight or obese patients (mean change, +4.7 metabolic-equivalent-of-task-hour/week; 95% CI +1.9 to +7.5). Overweight or obese patients who lost weight were more likely to return to work compared with those who did not lose weight (aOR of non-return-to-work, 0.48; 95% CI 0.24 to 0.97, p=0.0418), whereas weight loss was associated with increased odds of non-return to work among underweight or normal weight women (aOR 2.07; 95% CI 1.20 to 3.56, p=0.0086) (pinteractionBMI×weight changes=0.0002). The continuous trend of weight gain on non-return to work was significant for overweight or obese patients (aOR for one-percent-unit difference, 1.03; 95% CI 1.01 to 1.06, p=0.030). CONCLUSIONS: Excess weight may be a barrier to return to work. Among overweight or obese BC survivors, weight loss was associated with higher rates of return to work, whereas further weight gain was associated with lower likelihood of return to work. Employment outcomes should be evaluated in randomised studies of weight management.