Explore the vast range of titles available.

Purpose A substantial proportion of cancer survivors experience fatigue after diagnosis. Physical activity (PA) can impact fatigue after cancer. In this study, we evaluated the prevalence and association of fatigue and the practice of PA in a population with early cancer. Methods Using the national population‐based French cross‐sectional study Vie après le cancer 2, we included 1984 patients with early breast (61.1%), prostate (21.5%), and colorectal (17.4%) cancer. Severe fatigue at 2 years postdiagnosis was defined by a score ≥40 in the European Organization for Research and Treatment of Cancer quality of life questionnaire (EORTC QLQ C30) fatigue subscale. PA was defined as (a) self‐reported PA before diagnosis (active/inactive) and (b) change in PA since diagnosis (increased/maintained exposure vs decreased exposure/remaining inactive). Multivariate regression examined associations of severe fatigue with PA, adjusting for baseline clinical and treatment variables. Results Median age was 52 years. 51.5% of patients experienced severe fatigue 2 years post‐diagnosis. 87.7% reported to be physically active before cancer diagnosis; 53.3% of patients either decreased PA or remained inactive at 2 years postdiagnosis. At 2 years postdiagnosis, severe fatigue was associated with a change in PA since diagnosis: patients with decreasing PA/remaining inactive from pre‐ to postdiagnosis had a higher risk of severe fatigue vs those with increasing/maintaining PA (adjusted odds ratio [95% confidence interval] 2.32 [1.85‐2.90]). Conclusion Fatigue continues to be a substantial problem for cancer survivors 2 years after cancer diagnosis and is associated with PA decreasing/remaining inactive since diagnosis. Interventions to maintain or increase PA for cancer survivors should be tested to mitigate long‐term fatigue after cancer. Fatigue continues to be a substantial problem for cancer survivors 2 years after cancer diagnosis and is associated with PA decreasing /remaining inactive since diagnosis. Interventions to maintain or increase PA for cancer survivors should be tested to mitigate long‐term fatigue after cancer.

The growing availability of more effective therapies has contributed to an increased survival of patients with breast cancer. In hormone receptor-positive early disease, increased survival is strongly correlated with the use of adjuvant endocrine therapy, but this therapy can cause side-effects that have major consequences in terms of treatment adherence and patients' quality of life. In premenopausal breast cancer survivors, these side-effects might be even more prominent due to the abrupt suppression of oestrogen associated with the most intense endocrine therapies. An important ambition of cancer care in the 21st century is to recover pre-cancer quality of life and emotional and social functions, which is only possible through the mitigation of the side-effects of anticancer treatments. This Review presents a comprehensive summary of the efficacy and safety data of the available interventions (hormonal and non-hormonal pharmacological strategies, non-pharmacological approaches, and complementary and alternative medicine) to control selected side-effects associated with adjuvant endocrine therapy (hot flashes, sexual dysfunction, weight gain, musculoskeletal symptoms, and fatigue), providing updated, evidence-based approaches for their management.

Purpose This study assessed sustainable return to work (SRTW) of breast cancer survivors (BCS). Methods We used data from the prospective French cohort, CANTO. We included 1811 stage I–III BCS who were <57 years old and employed at the moment of diagnosis and working 2 years after diagnosis. Using logistic regression, we investigated the role of clinical, health and socio‐economic factors, and the work environment on SRTW 3 years after diagnosis. We compared having any sick leave with having worked continuously and being unemployed to having worked continuously between 2 and 3 years after diagnosis. Results Overall, 77% (n = 1395) worked continuously after return to work (RTW). Out of the other 416 BCS, 66% had any sick leave period, 33% had been unemployed, 4% had an early retirement, 2% a disability and 1% another status (multiple situations possible). Being on sick leave was associated with age > 50 (OR = 0.59; 95%CI = 0.43–0.82), stage III (2.56; 1.70–3.85), tumour subtype HR+/HER2+ (0.61; 0.39–0.95), severe fatigue (1.45; 1.06–1.98), workplace accommodations (1.63; 1.14–2.33) and life priorities (0.71; 0.53–0.95). Unemployment was associated with age > 50 (0.45; 0.29–0.72), working in the public sector (0.31; 0.19–0.51), for a small company (3.00; 1.74–5.20) and having a fixed‐term contract (7.50; 4.74–11.86). Conclusions A high number of BCS have periods of sick leave or unemployment after RTW. The determinants differ between sick leave and unemployment. Implications for cancer survivors BCS need to be supported even after RTW, which should be regarded as a process.

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. In this study, we explored representations, levers, and barriers to physical activity and mHealth interventions among inactive breast cancer patients with fatigue. 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. 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. 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.

BackgroundSeveral randomized clinical trials provide evidence of the survival benefit of extended adjuvant tamoxifen in women with estrogen receptor (ER)-positive early breast cancer (BC). However, non-adherence may lead to underestimate treatment effects using intention to treat (ITT) methods. We reanalyzed a randomized trial using contemporary statistical methods adjusting for non-adherence.MethodsThe TAM01 study was a phase 3 trial including women with early BC, who had completed 2–3 years of adjuvant tamoxifen between 1986 and 1995. Participants were randomly assigned to continue tamoxifen up to 10 years or to discontinue the treatment at randomization. Invasive disease-free survival (iDFS) and overall survival (OS) were estimated using marginal structural models (MSM) and rank preserving structural failure time model (RPSFTM).ResultsOf 3830 patients enrolled, 2485 were randomized to extended tamoxifen, and 1345 to treatment discontinuation. The 10-year non-adherence rate in the extended group was 27.2%. Among women with ER-positive BC (n = 2402), extended tamoxifen was associated with a 45% and 21% relative improvement in iDFS by MSM and RPSFTM, respectively (Hazard Ratio (HR), 0.55; 95% Confidence Interval (CI), 0.48–0.64 and HR, 0.79; 95%CI, 0.67–0.95, respectively), a considerable greater benefit than in the ITT analysis (HR, 0.90; 95%CI, 0.81–0.99). The OS reanalysis revealed a substantial benefit of extended tamoxifen (MSM: HR, 0.70; 95%CI, 0.59–0.83; RPSFTM: HR, 0.85; 95%CI, 0.67–1.04), compared to the ITT analyses (HR, 0.94; 95%CI, 0.84–1.07).ConclusionThis analysis emphasizes both the importance of adherence to hormonotherapy in hormone-receptor positive early BC and the usefulness of more complex statistical analyses.

In patients treated with cardiotoxic chemotherapies, the presence of cardiovascular risk factors and previous cardiac disease have been strongly correlated to the onset of cardiotoxicity. The influence of overweight and obesity as risk factors in the development of treatment-related cardiotoxicity in breast cancer (BC) was recently suggested. However, due to meta-analysis design, it was not possible to take into account associated cardiac risk factors or other classic risk factors for anthracycline (antineoplastic antibiotic) and trastuzumab (monoclonal antibody) cardiotoxicity. Using prospective data collected from 2012-2014 in the French national multicenter prospective CANTO (CANcer TOxicities) study of 26 French cancer centers, we aimed to examine the association of body mass index (BMI) and cardiotoxicity (defined as a reduction in left ventricular ejection fraction [LVEF] > 10 percentage points from baseline to LVEF < 50%). In total, 929 patients with stage I-III BC (mean age 52 ± 11 years, mean BMI 25.6 ± 5.1 kg/m2, 42% with 1 or more cardiovascular risk factors) treated with anthracycline (86% epirubicin, 7% doxorubicin) and/or trastuzumab (36%), with LVEF measurement at baseline and at least 1 assessment post-chemotherapy were eligible in this interim analysis. We analyzed associations between BMI and cardiotoxicity using multivariate logistic regression. At baseline, nearly 50% of the study population was overweight or obese. During a mean follow-up of 22 ± 2 months following treatment completion, cardiotoxicity occurred in 29 patients (3.2%). The obese group was more prone to cardiotoxicity than the normal-weight group (9/171 versus 8/466; p = 0.01). In multivariate analysis, obesity (odds ratio [OR] 3.02; 95% CI 1.10-8.25; p = 0.03) and administration of trastuzumab (OR 12.12; 95% CI 3.6-40.4; p < 0.001) were independently associated with cardiotoxicity. Selection bias and relatively short follow-up are potential limitations of this national multicenter observational cohort. In BC patients, obesity appears to be associated with an important increase in risk-related cardiotoxicity (CANTO, ClinicalTrials.gov registry ID: NCT01993498). ClinicalTrials.gov NCT01993498.

Background Inflammation could be related to cancer-related cognitive impairment (CRCI) and might be used as a predictive marker of long-term CRCI. We evaluated associations between inflammatory markers assessed at diagnosis of breast cancer and CRCI two years afterwards. Methods Newly diagnosed stage I-III patients with breast cancer from the French CANTO-Cog (Cognitive sub-study of CANTO, NCT01993498) were included at diagnosis (baseline). Serum inflammatory markers (IL-2, IL-4, IL-6, IL-8, IL-10, TNFα, CRP) were assessed at baseline. Outcomes at year 2 post-baseline included overall cognitive impairment (≥ 2 impaired domains) and the following domains: episodic memory, working memory, attention, processing speed, and executive functions. Multivariable logistic regression models evaluated associations between markers and outcomes, controlling for age, education, and baseline cognitive impairment. Results Among 200 patients, the mean age was 54 ± 11 years, with 127 (64%) receiving chemotherapy. Fifty-three (27%) patients had overall cognitive impairment at both timepoints. Overall cognitive impairment at year 2 was associated with high (> 3 mg/L) baseline CRP (OR = 2.84, 95%CI: 1.06–7.64, p  = 0.037). In addition, associations were found between high CRP and processing speed impairment (OR = 2.47, 95%CI:1.05–5.87, p  = 0.039), and between high IL-6 and episodic memory impairment (OR = 5.50, 95%CI:1.43–36.6, p  = 0.010). Conclusions In this cohort, high levels of CRP and IL-6 assessed at diagnosis were associated with overall CRCI, processing speed and episodic memory impairments two years later. These findings suggest a potential inflammatory basis for long-term CRCI. CRP may represent an easily measurable marker in clinical settings and be potentially used to screen patients at greater risk of persistent CRCI.

Background Apolipoprotein Ɛ4 genotype (APOE4) has been associated with cancer-related cognitive impairment, but its interaction with treatments remains unclear. This longitudinal study aims to evaluate the association between APOE4 and cognitive impairment in women with breast cancer (BC) undergoing chemotherapy (CT) or endocrine therapy (ET). Findings Patients with stage I–III breast cancer completed cognitive tests at diagnosis (before surgery), then at year-1, year-2, and year-4 post-diagnosis. APOE4 status (APOE4+ [carriers] vs. APOE4− [non-carriers]) was genotyped from blood sample. Cognitive outcomes included episodic memory, working memory, attention, processing speed, and executive functions. Patients were defined as having overall cognitive impairment if ≥ 2 domains were impaired. We fitted logistic and linear mixed models to assess associations of APOE4 status with cognitive impairment over time and interactions of APOE4 with CT and ET. Among 334 patients, 64 (19%) were APOE4+, 117 (35%) patients were treated with CT, 41 (12%) with ET, and 162 (49%) with CT+ET. There were no significant association between overall cognitive impairment and APOE4, nor interactions with CT or ET. At year-4, APOE4+ patients treated with ET had lower attention performance than APOE4− patients not treated with ET, and APOE4+ patients not treated with ET had lower episodic memory performance than APOE4− patients not treated with ET. Conclusions This study suggests APOE4 genotyping is ineffective for detecting cognitive impairment in BC. New genotypes should be identified to predict cognitive decline in BC.

PurposeIn this study, we evaluated readability and understandability of nine French-language Patient-Reported Outcome Measures (PROMs) that are currently used in a contemporary longitudinal cohort of breast cancer survivors as part of an effort to improve equity in cancer care and research.MethodsReadability of PROMs was assessed using the Flesh Reading Ease Score (FRES), the Gunning’s Fog Index (FOG), and the FRY graphics. Readability was considered ideal if mean score ≤ 6th-grade level and acceptable if between 6th and 8th grade. Understandability was evaluated using the Patient Education Materials Assessment Tool and defined as ideal if PEMAT ≥ 80%. The Evaluative Linguistic Framework for Questionnaires (ELF-Q) provided additional qualitative elements to assess understandability. Plain-language best practice was met if both readability and understandability were ideal.ResultsNone of the 9 PROMs evaluated had ideal readability scores and only 1 had an acceptable score. Understandability ranged from 55% to 91%, and only 3 PROMs had ideal scores. ELF-Q identified points for improvement in several understandability dimensions of the PROMs. None of the instruments met the definition of plain-language best practice.ConclusionNone of the studied PROMs met the standards of readability and understandability. Future development and translation of PROMs should follow comprehensive linguistic and cultural frameworks to ensure plain-language standards and enhance equitable patient-centered care and research.

Background Elevated body mass index (BMI) represents a risk factor for cancer-related fatigue (CRF). Weight loss interventions are feasible and safe in cancer survivors, leading to improved cardio-metabolic and quality of life (QOL) outcomes and modulating inflammatory biomarkers. Randomized data are lacking showing that a lifestyle intervention aimed at weight loss, combining improved diet, exercise, and motivational counseling, reduces CRF. Motivating to Exercise and Diet, and Educating to healthy behaviors After breast cancer (MEDEA) is a multi-center, randomized controlled trial evaluating the impact of weight loss on CRF in overweight or obese survivors of breast cancer. Herein, we described the MEDEA methodology. Methods Patients ( N = 220) with stage I–III breast cancer and BMI ≥ 25 kg/m 2 , within 12 months of primary treatment, and able to walk ≥ 400 m are eligible to enroll. Participants are randomized 1:1 to health education alone vs. a personalized telephone-based weight loss intervention plus health education. Both arms receive a health education program focusing on healthy living. Patients in the intervention arm are paired with an individual lifestyle coach, who delivers the intervention through 24 semi-structured telephone calls over 1 year. Intervention goals include weight loss ≥ 10% of baseline, caloric restriction of 500–1000 Kcal/day, and increased physical activity (PA) to 150 (initial phase) and 225–300 min/week (maintenance phase). The intervention is based on the social cognitive theory and is adapted from the Breast Cancer Weight Loss trial (BWEL, A011401). The primary endpoint is the difference in self-reported CRF (EORTC QLQ-C30) between arms. Secondary endpoints include the following: QOL (EORTC QLQ-C30, -BR45, -FA12), anxiety, and depression (HADS); weight and BMI, dietary habits and quality, PA, and sleep; health care costs (hospital-admissions, all-drug consumption, sick leaves) and cost-effectiveness (cost per quality-adjusted life-year); and patient motivation and satisfaction. The primary analysis of MEDEA will compare self-reported CRF at 12 months post-randomization between arms, with 80.0% power (two-sided α = 0.05) to detect a standardized effect size of 0.40. Discussion MEDEA will test the impact of a weight loss intervention on CRF among overweight or obese BC survivors, potentially providing additional management strategies and contributing to establish weight loss support as a new standard of clinical care. Trial registration ClinicalTrials.gov NCT04304924