Weight change patterns among breast cancer survivors: results from the Shanghai breast cancer survival study

The relation between excess adiposity and breast cancer in women: Clinical implications and management

BACKGROUND

Breast cancer (BC) is the most common cancer in women. While the combination of improved screening, earlier detection, and advances in therapeutics has resulted in lower BC mortality, BC survivors are now increasingly dying of cardiovascular disease. Cardiovascular disease in the leading cause of non-cancer related mortality among BC survivors. This situation underscores the critical need to research the role of modifiable cardiometabolic risk factors, such as excess adiposity, that will affect BC remission, long-term survivorship, and overall health and quality of life.

PURPOSE

First, this review summarizes the evidence on the connection between adipose tissue and BC. Then we review the data on weight trends after BC diagnosis with a focus on the effect of weight gain on BC recurrence and BC- and non-BC-related death. Finally, we provide a guide for weight management in BC survivors, considering the available data on the effect of weight loss interventions on BC.

The Molecular and Genetic Interactions between Obesity and Breast Cancer Risk

Breast cancer (BC) is considered the leading cause of death among females worldwide. Various risk factors contribute to BC development, such as age, genetics, reproductive factors, obesity, alcohol intake, and lifestyle. Obesity is considered to be a pandemic health problem globally, affecting millions of people worldwide. Obesity has been associated with a high risk of BC development. Determining the impact of obesity on BC development risk in women by demonstrating the molecular and genetic association in pre- and post-menopause females and risk to BC initiation is crucial in order to improve the diagnosis and prognosis of BC disease. In epidemiological studies, BC in premenopausal women was shown to be protective in a certain pattern. These altered effects between the two phases could be due to various physiological changes, such as estrogen/progesterone fluctuating levels. In addition, the relationship between BC risk and obesity is indicated by different molecular alterations as metabolic pathways and genetic mutation or epigenetic DNA changes supporting a strong connection between obesity and BC risk. However, these molecular and genetic alteration remain incompletely understood. The aim of this review is to highlight and elucidate the different molecular mechanisms and genetic changes occurring in obese women and their association with BC risk and development.

Impact of body mass index, weight gain, and metabolic disorders on survival and prognosis in patients with breast cancer who underwent chemotherapy

BACKGROUND

Weight gain during chemotherapy in patients with breast cancer contributes to their poor prognosis. However, a growing number of studies have found that metabolic disorders seem to play a more important role in breast cancer prognosis than weight gain. This study aimed to explore the prognostic effects of body mass index (BMI), weight gain, and metabolic disorders on the overall survival (OS) and prognosis of patients with breast cancer who underwent chemotherapy.

METHODS

Data from the inpatient medical records of patients with breast cancer who underwent chemotherapy at the Beijing Cancer Hospital Breast Cancer Center from January to December 2010 were retrospectively collected, and the patients were followed up until August 2020.

RESULTS

A total of 438 patients with stages I to III breast cancer met the inclusion and exclusion criteria. Forty-nine (11.19%) patients died, while 82 (18.72%) patients had tumor recurrence and metastasis at the last follow-up (August 2020). From the time of diagnosis until after chemotherapy, no significant differences were observed in the body weight (t = 4.694, P < 0.001), BMI categories (χ2 = 19.215, P = 0.001), and incidence of metabolic disorders (χ2 = 24.841, P < 0.001); the BMI categories and weight change had no effect on the OS. Both univariate (χ2 = 6.771, P = 0.009) and multivariate survival analyses (hazard ratio = 2.775, 95% confidence interval [CI]: 1.326-5.807, P = 0.007) showed that low high-density lipoprotein cholesterol (HDL-C) levels at diagnosis had a negative impact on the OS. The multivariate logistic regression analysis showed that the HDL-C level at diagnosis (odds ratio [OR] = 2.200, 95% CI: 0.996-4.859, P = 0.051) and metabolic disorders after chemotherapy (OR = 1.514, 95% CI: 1.047-2.189, P = 0.028) are risk factors for poor prognosis in patients with breast cancer.

CONCLUSIONS

Chemotherapy led to weight gain and aggravated the metabolic disorders in patients with breast cancer. Low HDL-C levels at diagnosis and metabolic disorders after chemotherapy may have negative effects on the OS and prognosis of patients with breast cancer.

Mindfulness-based Interventions and Yoga for Managing Obesity/Overweight After Breast Cancer: A Scoping Review

INTRODUCTION

Weight gain after breast cancer is common, and obesity after breast cancer increases breast cancer recurrence and mortality. Mindfulness-based interventions (MBIs) and yoga have been shown to be effective in managing obesity/overweight in people without breast cancer. There is a need to systematically map the extent and range of evidence on yoga and MBIs for managing obesity/overweight after breast cancer in order to aid planning and commissioning of future research.

METHODS

We conducted a scoping review informed by methods described by Levac et al. Five electronic databases were searched for any peer-reviewed original research (including systematic reviews) that examined the role of yoga and/or MBIs for managing overweight/obesity after breast cancer. Data were extracted on study, population, intervention, comparator and outcome characteristics, and described narratively.

RESULTS

We found 18 publications representing 15 unique studies (11 clinical trials, 2 systematic reviews, and 2 observational studies). There were 10 studies on yoga, and 5 on MBIs. Of the clinical trials, only 4/11 examined a weight-related outcome as the primary outcome. The remaining trials examined lifestyle or metabolic outcomes (5/11) or unrelated outcomes such as psychological health (2/11). Gaps in the literature included small sample sizes, lack of cultural diversity amongst participants, inadequate reporting of the intervention, few lifestyle co-interventions offered, lack of active comparator groups, and inadequate safety reporting.

CONCLUSIONS

There is a need for adequately-powered RCTs that adhere to reporting guidelines. The use of gold-standard methods for measuring outcomes, and active comparator groups, is also recommended.

Effect of the Lifestyle, Exercise, and Nutrition (LEAN) Study on Long-Term Weight Loss Maintenance in Women with Breast Cancer

Lifestyle interventions among breast cancer survivors with obesity have demonstrated successful short-term weight loss, but data on long-term weight maintenance are limited. We evaluated long-term weight loss maintenance in 100 breast cancer survivors with overweight/obesity in the efficacious six-month Lifestyle, Exercise, and Nutrition (LEAN) Study (intervention = 67; usual care = 33). Measured baseline and six-month weights were available for 92 women. Long-term weight data were obtained from electronic health records. We assessed weight trajectories between study completion (2012-2013) and July 2019 using growth curve analyses. Over up to eight years (mean = 5.9, SD = 1.9) of post-intervention follow-up, both the intervention (n = 60) and usual care (n = 32) groups declined in body weight. Controlling for body weight at study completion, the yearly weight loss rate in the intervention and usual care groups was -0.20 kg (-0.2%/year) (95% CI: 0.06, 0.33, p = 0.004) and -0.32 kg (-0.4%/year) (95% CI: 0.12, 0.53, p = 0.002), respectively; mean weight change did not differ between groups (p = 0.31). It was encouraging that both groups maintained their original intervention period weight loss (6% intervention, 2% usual care) and had modest weight loss during long-term follow-up. Breast cancer survivors in the LEAN Study, regardless of randomization, avoided long-term weight gain following study completion.

Weight and waist-to-hip ratio change pattern during the first five years of survival: data from a longitudinal observational Chinese breast cancer cohort

BACKGROUND

Body weight management was an important component in breast cancer survivorship care. The present study described the change patterns of body weight and waist-to-hip ratio (WHR) during the first 5 years of survival, and investigated potential factors associated with very substantial changes.

PATIENTS AND METHODS

Based on a longitudinal cohort with 1462 Chinese women with breast cancer, anthropometric measurements including body weight, height, waist and hip circumferences were measured by trained interviewers following standard protocol at four time-points: baseline at study entry, 18-, 36- and 60-months follow up assessments (termed as T0, T1, T2 and T3, respectively). Body height was measured at baseline and body weight at cancer diagnosis were retrieved from medical record.

RESULTS

Compared to weight at breast cancer diagnosis, the median weight change was - 0.5 kg, 0 kg, + 0.5 kg, and + 1 kg at T0, T1, T2 and T3, respectively. During the first 5 years of survival, the proportion of women who were obese have slightly increased. At 60-months after diagnosis, only 14.3% of women had weight gain by > 5 kg; and the percentage of women who had weight gain by > 10% was 10.7%. Nearly half of patients had abdominal obesity at study entry, and this proportion were gradually increased to nearly 70% at 60-months follow-up. Multivariate analysis indicated that older age, and frequent sports participation during the first 5 years of survival were related to lower risk of very substantial weight gain (> 10%) at 60-month follow-up; patients aged 40-49 years, having ≥2 comorbidities and ER negative were associated with less likelihood of very substantial WHR substantial increase (> 10%) at 60-month follow-up.

CONCLUSION

Weight gain was modest in Chinese breast cancer survivors during the first 5 years of survival, while central adiposity has become a contemporary public health issue. The incorporation of healthy weight and abdominal circumference patient education and management has a potential to improve cancer survivorship.

Association between Endocrine Therapy and Weight Gain after Breast Cancer Diagnosis among Japanese Patients: A Retrospective Cohort Study

BACKGROUND

This study aimed to investigate the association between endocrine therapy and weight gain with a history of breast cancer.

METHODS

This was a retrospective cohort study. Recruited patients consisted of those receiving endocrine therapy and those not receiving endocrine therapy. Weight at diagnosis was collected from medical records, and current body mass was measured using a digital scale (time since diagnosis was 4.0 ± 1.9 years). Moreover, we measured current physical activity using an accelerometer and dietary intake using a validated questionnaire. The primary analysis was a t-test for the body-mass change after diagnosis between the two groups.

RESULTS

We recruited 300 patients and collected data from 292. Mean weight gain after diagnosis was 1.3 ± 3.9 kg, and the change in body mass of patients taking endocrine therapy (1.3 ± 4.0 kg) was not significantly different from that of patients not taking endocrine therapy (1.4 ± 3.8 kg, p = 0.92). There was no association of endocrine therapy, physical activity, and dietary intake with a 5% weight gain after adjusting confounding factors (e.g., breast cancer stage and chemotherapy).

CONCLUSIONS

Caution is required with generalization because of sampling bias and ethnic differences.

Changes in eating habits and food preferences in breast cancer patients undergoing adjuvant chemotherapy

Change in eating habits in early breast cancer (EBC) patients during chemotherapy has been poorly studied in the literature. The primary aim of this study was to prospectively evaluate food preferences and weight change in EBC patients before and after adjuvant chemotherapy. From April 2014 to June 2018, 205 EBC patients underwent a dietary assessment according to the following timeline: baseline evaluation (one week before starting chemotherapy, T0); first follow-up (approximately 2–3 months after starting chemotherapy, T1); final follow-up (one week after chemotherapy end, T2). A statistically significant reduction of the following foods was reported after the start of chemotherapy: pasta or rice, bread, breadsticks/crackers, red meat, fat and lean salami, fresh and aged cheese, milk, yogurt, added sugar, soft drinks, alcoholic beverages (wine, beer, and schnapps), and condiments (oil and butter). Conversely, fruit consumption consistently increased. As a result of these changes, a Healthy Eating Index (HEI) specifically developed for this study and suggestive of a balanced diet, significantly increased. Body weight did not increase, despite reduction in physical activity. This prospective study shows that EBC patients tend to adopt “healthier dietary patterns” during adjuvant chemotherapy, leading to a non-change in weight, despite reduction in physical activity.

Acceptability of a structured diet and exercise weight loss intervention in breast cancer survivors living with an overweight condition or obesity: A qualitative analysis

BACKGROUND

Weight loss increases survivorship following breast cancer diagnosis. However, most breast cancer survivors (BCS) do not meet diet and exercise recommendations.

AIM

The purpose of this study was to explore the barriers and facilitators of BCS who had lymphedema and who participated in a 22-week weight loss lifestyle intervention.

METHODS AND RESULTS

Participants completed semi-structured interviews about barriers and facilitators to intervention adherence. Interviews were transcribed verbatim and a thematic analysis was conducted. Participants (n = 17) were 62 ± 8.0 years of age with a mean body mass index of 34.0 ± 7.1 kg/m² . Four themes emerged: (1) facilitators of intervention adherence, (2) barriers of intervention adherence, (3) continuation of healthy habits post intervention, and (4) recommendations for intervention improvements. Facilitators of intervention adherence were education, social support, routine, motivation, goal-setting, meal-provisioning, self-awareness, and supervised exercise. Barriers to intervention adherence were personal life, health, meal dissatisfaction, seasonality, unchallenging exercises, and exercising alone. All women planned to continue the acquired healthy habits post intervention. Recommendations to improve the study included addressing the exercise regime, meal-provisioning, and dietary intake monitoring methods.

CONCLUSION

Future strategies to engage BCS in weight loss interventions should promote group exercise, offer individualized meal-provisioning and exercise regimes, provide transition tools, and allow participants to choose their self-monitoring method.

Dynamic Changes of Blood Lipids in Breast Cancer Patients After (Neo)adjuvant Chemotherapy: A Retrospective Observational Study

Background

Previous studies indicated that the (neo)adjuvant chemotherapy for breast cancer can cause significant dyslipidemia in patients, but how long this abnormality can persist is unclear so far. The purpose of this study is to investigate whether (neo)adjuvant chemotherapy has a long-term effect on blood lipids in breast cancer patients.

Methods

A total of 159 newly diagnosed female breast cancer patients receiving the (neo)adjuvant chemotherapy subsequently and 159 female healthy controls were enrolled into the observational study. All participants' blood lipid profiles which included TC, TG, HDL-C, and LDL-C before and at the end of the 1st and 12th month after chemotherapy were retrieved from the electronic medical record system. The blood lipid profiles and the percentage of dyslipidemia before and after chemotherapy in breast cancer patients and controls were compared.

Results

Compared with the baseline before chemotherapy, TC, LDL-C, and TG increased significantly at the end of the 1st month after chemotherapy, but only the abnormal increase in TG (2.98±0.71 mmol/L vs 2.82±0.63 mmol/L, P<0.05) and LDL-C (1.82±0.42 mmol/L vs 1.59±0.42 mmol/L, P<0.05) continued until the 12th month after chemotherapy. Levels of HDL-C in breast cancer patients and all the blood lipid parameters in controls remained stable during the observation period. The percentage of dyslipidemia in breast cancer patients rose from 41.5% at baseline to 54.1% at the 12th month after chemotherapy. Subgroup analysis demonstrated that the increase in dyslipidemia percentage was more pronounced in patients with low body mass index and aged over 50 years.

Conclusion

The (neo)adjuvant chemotherapy used for treating breast cancers can cause significant abnormalities in blood lipid profiles, and the abnormal increase in LDL-C and TG can last at least 12 months after chemotherapy, which indicates long-term management of blood lipid is necessary for those patients.

Investigating Changes in Weight and Body Composition Among Women in Adjuvant Treatment for Breast Cancer: A Scoping Review

BACKGROUND

Despite several investigations, findings on weight changes during and after adjuvant treatment for breast cancer are diverse and point in several directions.

OBJECTIVE

The aims of this study were to investigate changes in weight and body composition associated with contemporary anticancer medication and to examine factors that might influence the assessment and diversity of the findings.

METHODS

This article used the method of a scoping review to map the body of literature. From searching the databases PubMed, CINAHL, and EMBASE using MeSH terms, CINAHL terms, and Emtree, as well as free text, 19 articles were selected for further investigation.

RESULTS

The scoping review illustrates how findings in weight and body composition changes fluctuate over time as illustrated in 4 measure points: short term, 1 year, 18 months/2 years, and long term. The studies displayed differences regarding study designs, sample sizes, treatment regimens, measure points and techniques, and cutoff values for assessing weight changes, which make it difficult to synthesize findings and provide strong evidence for use in clinical practice.

CONCLUSION

Synthesizing findings over time illustrates the need for attention on younger premenopausal women given chemotherapy. Weight need to be monitored for at least 2 years as short-term changes may be caused by increased body water, whereas long-term changes seem to be related with increased fat mass essential for risking recurrence and early death.

IMPLICATIONS FOR PRACTICE

The diversity in methods discloses the need for the research community to reach consensus regarding study designs for future research in this area.

Weight Gain during Neoadjuvant Chemotherapy is Associated with Worse Outcome among the Patients with Operable Breast Cancer

Purpose

This study was aimed at identifying the influence of initial weight and weight change during neoadjuvant chemotherapy (NAC) on pathologic complete response (pCR) and long-term survival in Chinese patients with operable breast cancer.

Methods

We conducted a retrospective study using data from 409 female patients who received NAC for stage II or III breast cancer and had complete record of body mass index (BMI) before and after NAC. BMI of < 25 kg/m² was categorized as normal weight/underweight (NW/UW); 25.0–29.9 kg/m² was categorized as overweight (OW); ≥30 kg/m² was categorized as obese (OB). BMI change was defined as the difference in BMI between day 1 of the first cycle of NAC and the day before surgery. A BMI gain or loss of > 2 kg/m² following NAC was considered to be significant, else was considered stable. The study end points included pCR rates, disease-free survival (DFS), and overall survival (OS).

Results

The median follow-up time was 43.2 (8.9–93.6) months. The average BMI was 23.40 ± 3.04 kg/m² before NAC and 23.66 ± 3.02 kg/m² after NAC (t = −3.604, p < 0.001). The pCR rate was 25.3% in the NW/UW group and 24.1% in the OW/OB group (p = 0.811), and was similar between the BMI-gain (23.3%) and the BMI-stable/loss (25.1%) groups (p = 0.787). Initial BMI was an independent prognostic factor for DFS (hazard ratio, 1.69; 95% confidence interval [CI], 1.13–2.53; p = 0.011) but not for OS, while BMI-gain was an independent prognostic factor for both DFS (hazard ratio, 2.09; 95% CI, 1.28–3.42; p = 0.003) and OS (hazard ratio, 1.97; 95% CI, 1.04–3.74; p = 0.039).

Conclusion

BMI increased after NAC in Chinese breast cancer patients. Initial BMI and BMI change during NAC were not associated with pCR but were reversely associated with survival.

A Prospective Study of Weight Gain in Women Diagnosed with Early-Stage Invasive Breast Cancer, Ductal Carcinoma In Situ, and Women Without Breast Cancer

Background: Weight gain after breast cancer has been associated with recurrence and mortality. We therefore examined factors associated with ≥5% weight gain over 2-year follow-up of a cohort of newly diagnosed early-stage invasive breast cancer (EIBC) and ductal carcinoma in situ (DCIS) patients and age-matched controls without a breast cancer history. Materials and Methods: We interviewed participants 4-6 weeks after definitive surgical treatment (patients) or a negative/benign screening mammogram (controls). Multivariable logistic regression models were used to identify socioeconomic, psychosocial, and treatment factors associated with ≥5% weight gain over 2-year follow-up. Results: Overall, 88 (24%) of 362 EIBC patients, 31 (17%) of 178 DCIS patients, and 82 (15%) of 541 controls had ≥5% weight gain during follow-up. EIBC patients were more likely to experience ≥5% weight gain than DCIS patients (Odds ratio [OR] = 2.16; 95% confidence interval [95% CI] = 1.19-3.95) and controls (OR = 1.76; 95% CI = 1.23-2.51). Among EIBC patients, older patients (OR = 0.96; 95% CI = 0.93-0.99), patients who underwent endocrine therapy (OR = 0.43; 95% CI = 0.19-0.95), smokers (OR = 0.35; 95% CI = 0.14-0.86), and African Americans (OR = 0.23; 95% CI = 0.09-0.58) were less likely to have ≥5% weight gain than their respective counterparts. Among DCIS patients, older patients (OR = 0.94; 95% CI = 0.89-0.99) were less likely to have ≥5% weight gain. Among controls, smokers were more likely to have ≥5% weight gain (OR = 3.03; 95% CI = 1.49-6.17). Conclusions: EIBC patients were more likely than DCIS patients and controls to experience ≥5% weight gain over follow-up. Studies are necessary to elucidate mechanisms of weight gain in early-stage breast cancer survivors.

Early breast cancer: why does obesity affect prognosis?

High BMI is associated with an increased risk of breast cancer in post-menopausal women but poorer outcomes in all age groups. The underlying mechanism is likely to be multi-factorial. Patients with a high BMI may present later due to body habitus. Some studies have also indicated an increased incidence of biologically adverse features, including a higher frequency of oestrogen receptor (ER negative) tumours, in obese patients. Obese patients have a higher frequency of surgical complications, potentially delaying systemic therapies, and reports suggest that chemotherapy and endocrine therapy are less effective in patients with BMI ≥30 kg/m2.High BMI is generally interpreted as excess adiposity and a World Cancer Research Fund report judged that the associations between BMI and incidence of breast cancer were due to body fatness. However, BMI cannot distinguish lean mass from fat mass, or characterise body fat distribution. Most chemotherapy drugs are dosed according to calculated body surface area (BSA). Patients with a similar BSA or BMI may have wide variations in their distribution of adipose tissue and skeletal muscle (body composition); however, few studies have looked at the effect of this on chemotherapy tolerance or effectiveness. Finally, adjuvant treatments for breast cancer can themselves result in body composition changes.Research is required to fully understand the biological mechanisms by which obesity influences cancer behaviour and the impact of obesity on treatment effectiveness and tolerance so that specific management strategies can be developed to improve the prognosis of this patient group.

Determinants of Weight Gain During Adjuvant Endocrine Therapy and Association of Such Weight Gain With Recurrence in Long-term Breast Cancer Survivors

BACKGROUND

Weight gain is a negative prognostic factor in breast cancer (BC) patients. The risk factors for weight gain during adjuvant endocrine therapy (ET) and the extent to which such weight gain is associated with disease recurrence remain unclear.

PATIENTS AND METHODS

We retrospectively identified a cohort of women with a diagnosis of stage I-III, hormone receptor-positive, human epidermal growth factor receptor 2-negative BC from January 1997 to August 2008, who had received initial treatment at the MD Anderson Cancer Center, had completed 5 years of ET, and had remained free of locoregional or distant relapse or contralateral BC for ≥ 5 years after diagnosis. The weight change at the end of 5 years of ET was measured as the percentage of the change in weight from the start of ET, with a weight gain of > 5% considered clinically significant. Multivariable logistic regression and Cox proportional hazards models were used to assess the determinants of such weight gain and the risk of recurrence after 5 years.

RESULTS

Of 1282 long-term BC survivors, 432 (33.7%) had a weight gain of > 5% after 5 years of ET. Women who were premenopausal at diagnosis were 1.40 times more likely than women who were postmenopausal at diagnosis to have a weight gain of > 5%. Asian women had the lowest risk of gaining weight. The recurrence risks of patients who had gained weight and those who had not were not significantly different.

CONCLUSION

Premenopausal BC patients had an increased risk of weight gain after 5 years of ET; however, BC patients with a weight gain of > 5% did not have an increased risk of disease recurrence.

Impact of baseline BMI and weight change in CCTG adjuvant breast cancer trials

Background

We hypothesized that increased baseline BMI and BMI change would negatively impact clinical outcomes with adjuvant breast cancer systemic therapy.

Methods

Data from chemotherapy trials MA.5 and MA.21; endocrine therapy MA.12, MA.14 and MA.27; and trastuzumab HERA/MA.24 were analyzed. The primary objective was to examine the effect of BMI change on breast cancer-free interval (BCFI) landmarked at 5 years; secondary objectives included BMI changes at 1 and 3 years; BMI changes on disease-specific survival (DSS) and overall survival (OS); and effects of baseline BMI. Stratified analyses included trial therapy and composite trial stratification factors.

Results

In pre-/peri-/early post-menopausal chemotherapy trials (N = 2793), baseline BMI did not impact any endpoint and increased BMI from baseline did not significantly affect BCFI (P = 0.85) after 5 years although it was associated with worse BCFI (P = 0.03) and DSS (P = 0.07) after 1 year. BMI increase by 3 and 5 years was associated with better DSS (P = 0.01; 0.01) and OS (P = 0.003; 0.05). In pre-menopausal endocrine therapy trial MA.12 (N = 672), patients with higher baseline BMI had worse BCFI (P = 0.02) after 1 year, worse DSS (P = 0.05; 0.004) after 1 and 5 years and worse OS (P = 0.01) after 5 years. Increased BMI did not impact BCFI (P = 0.90) after 5 years, although it was associated with worse BCFI (P = 0.01) after 1 year. In post-menopausal endocrine therapy trials MA.14 and MA.27 (N = 8236), baseline BMI did not significantly impact outcome for any endpoint. BMI change did not impact BCFI or DSS after 1 or 3 years, although a mean increased BMI of 0.3 was associated with better OS (P = 0.02) after 1 year. With the administration of trastuzumab (N = 1395) baseline BMI and BMI change did not significantly impact outcomes.

Conclusions

Higher baseline BMI and BMI increases negatively affected outcomes only in pre-/peri-/early post-menopausal trial patients. Otherwise, BMI increases similar to those expected in healthy women either did not impact outcome or were associated with better outcomes.

Clinical Trials numbers

CAN-NCIC-MA5; National Cancer Institute (NCI)-V90-0027; MA.12-NCT00002542; MA.14-NCT00002864; MA.21-NCT00014222; HERA, NCT00045032;CAN-NCIC-MA24; MA-27-NCT00066573.

Profiles of lipids, blood pressure and weight changes among premenopausal Chinese breast cancer patients after adjuvant chemotherapy

BACKGROUND

Adjuvant chemotherapy improves outcome of patients with early breast cancer. However, chemotherapy may be associated with long term toxicities. In this retrospective cohort study, the objectives were to determine body weight, body mass index (BMI), blood pressure and fasting lipids levels of young premenopausal Chinese breast cancer patients after adjuvant chemotherapy. Potential factors associated with these parameters were identified.

METHODS

Eligibility criteria include premenopausal Chinese patients who were diagnosed to have stage I-III breast cancer within 3-10 years, age < 45 and having received adjuvant chemotherapy at the time of breast cancer diagnosis. Information at initial breast cancer diagnosis were retrieved from patients' medical records and include age at diagnosis, tumor characteristics, anti-cancer treatments, blood pressure and body weight and height. At study entry, all patients had additional background demographics collected, as well as blood pressure, body weight and fasting serum lipid profiles measured. Incidence of chemotherapy-related amenorrhoea (CRA) and menopause were determined. Factors associated with weight gain, hypertension and dyslipidaemias were analyzed.

RESULTS

Two hundred and eighty patients were studied. The median age at breast cancer diagnosis was 41 years (range: 24-45). The median time from breast cancer diagnosis to study entry was 5.0 years. The median age at study entry was 46.5 years (range: 28-54). 91.1% developed CRA; 48.9% had become menopausal and 10% were peri-menopausal. Between initial breast cancer diagnosis and the time of study entry, the median weight gain was 1.8 kg; 63.2% gained weight by >2%; 52.1% were overweight/obese; 30.7% had hypertension. Abnormal total-cholesterol and LDL-cholesterol occurred in 34.3% and 56.1% respectively. On multivariate analyses, older age was associated with reduced risk while occurrence of CRA and having received taxane-containing regimens were associated with increased risk of weight gain. Oestrogen-receptor positivity was associated with reduced risk while overweight/obese statuses were associated with increased risk of hypertension. Use of tamoxifen was associated with reduced risk of abnormal LDL-cholesterol. Weight gain, overweight/obese, older age, progression to post/peri-menopausal status at study entry, having received corticosteroid premedication before adjuvant chemotherapy and having received taxane-containing adjuvant chemotherapy were associated with increased risk of dyslipidaemias.

CONCLUSION

Among young premenopausal Chinese breast cancer patients who had received adjuvant chemotherapy, the current study has revealed that although there was only a median weight gain of 1.8 kg, there was a nearly 60% increase in abnormal BMI. Further, a significant proportion of patients were detected to have hypertension and dyslipidaemias. Interventional studies with lifestyle modifications are warranted.

The Voice of Experience: Diet and Weight Change in Women with Breast Cancer Associate with Psychosocial and Treatment-Related Challenges

PURPOSE

This study investigated relationships between psychosocial and treatment-related factors, diet, and weight change in women treated with chemotherapy for early-stage breast cancer.

METHODS

Comprehensive qualitative interviews were conducted with 28 women who were within 12 months of completing chemotherapy treatment.

RESULTS

Changes in food intake and eating patterns were universal over the course of chemotherapy, with broad variability in treatment effects and associated dietary responses linked to weight change. Increased appetite, food cravings, and intake of energy-dense comfort foods were more common among women who gained weight during treatment (n = 11). Changes in taste, nausea, and emotional distress were central in promoting these dietary responses. Women who lost weight during treatment (n = 6) tended to report more severe and persistent side effects of treatment leading to poor appetite and lower food intake, and they were more likely to live alone.

CONCLUSIONS

While the etiology of weight change in this population is complex, this study suggests that changes in food intake related to treatment and psychosocial challenges may play an important role for some women. These findings may help to identify women who are most at risk of weight change during treatment and may inform the development of tailored dietary interventions.

Sociodemographic and economic factors are associated with weight gain between before and after cancer diagnosis: results from the prospective population-based NutriNet-Santé cohort

Purpose

While many cancer patients are affected by weight loss, others tend to gain weight, which may impact prognosis and risk of recurrence and of second cancer. The aim of this prospective study was to investigate weight variation between before and after cancer diagnosis and socio-demographic, economic, lifestyle and clinical factors associated with moderate-to-severe weight gain.

Methods

1051 incident cases of first primary cancer were diagnosed in the NutriNet-Santé cohort between 2009 and 2015. Weight was prospectively collected every 6 months since subjects’ inclusion (i.e. an average of 2y before diagnosis). Mean weights before and after cancer diagnosis were compared with paired Student's t-test. Factors associated with moderate-to-severe weight gain (≥5% of initial weight) were investigated by age and sex-adjusted logistic regression.

Results

Weight loss was observed in men (-3.54±4.39kg in those who lost weight, p=0.0002) and in colorectal cancer patients (-3.94±4.40kg, p=0.001). Weight gain was observed in breast and skin cancers (2.83±3.21kg, p=0.04, and 2.96±2.75kg, p=0.04 respectively). Women (OR=1.75[1.06-2.87],p=0.03), younger patients (2.44[1.51-3.70],p<0.0001), those with lower income (OR=1.30[1.01-1.72],p-trend=0.007), lower education (OR=1.32[1.03-2.70],p-trend=0.03), excess weight before diagnosis (OR=1.64[1.12-2.42],p=0.01), lower physical activity (OR=1.28[1.01-1.64],p=0.04) and those who stopped smoking (OR=4.31[1.99-9.35],p=0.005]) were more likely to gain weight. In breast cancer patients, induced menopause was associated with weight gain (OR=4.12[1.76-9.67]), but no association was detected for tumor characteristics or treatments.

Conclusion

This large prospective cohort provided original results on weight variation between before and after cancer diagnosis, highlighting different weight trajectories. Socio-demographic and economic factors appeared to influence the risk of weight gain, illustrating social inequalities in health.

Weight change during chemotherapy in breast cancer patients: a meta-analysis

BACKGROUND

Weight gain during chemotherapy in women with breast cancer is commonly reported. However, there are important differences between studies that examined weight change during chemotherapy; e.g. type of chemotherapy, menopausal status, time between body weight measurements and sample size. The purpose of this meta-analysis was to quantify changes in body weight during chemotherapy for women with breast cancer, taking these differences into account.

METHODS

We identified relevant studies using PubMed, Scopus and Embase databases. The search was limited to human studies published in English up to and including December 2015. Only studies among women with early stage breast cancer treated with chemotherapy, with reported body weight before and after chemotherapy and type of chemotherapy were included. Random-effect models were used, and heterogeneity between studies was explored through stratified analyses and meta-regression. Sensitivity analyses were done to explore whether a specific study markedly affected the results.

RESULTS

In total 25 papers were found, including data from 2620 women. Overall, body weight increased during chemotherapy: 2.7 kg (95% CI 2.0, 7.5) with a high degree of heterogeneity (I² = 94.2%). Stratified analyses showed weight gain in all strata, but did not substantially reduce heterogeneity. Univariate meta-regression showed less weight gain in prospective studies compared to chart review studies (-2.0, 95% CI: -3.1, -0.8). Studies including cyclophosphamide, methotrexate and 5-fluorouracil (CMF) regimes showed a greater weight gain compared to those that did not (2.2, 95% CI: 1.1, 3.3); and papers published until the year 2000 showed a greater weight gain compared to those published after 2000 (1.9, 95% CI:-0.8, 3.1). In the multivariate models only studies including CMF regimes and studies published until 2000 were associated with significant weight gain of respectively 1.3 and 1.4 kg.

CONCLUSION

Despite the high heterogeneity, this meta-analysis shows significant weight gain during chemotherapy for women with breast cancer. Weight gain was more pronounced in papers published until 2000 and women receiving CMF as chemotherapy regime. Although weight gain after chemotherapy has decreased over the course of time, weight gain is still substantial and deserves clinical attention.

Longitudinal patterns and associated factors of postdiagnosis weight changes in Korean breast cancer survivors with normal body mass index

PURPOSE

This study aimed to describe longitudinal patterns of weight changes from diagnosis to within 5 years after diagnosis and investigate factors associated with short- and long-term weight changes among Korean breast cancer survivors with initially normal body mass index (BMI).

METHODS

Body weights at diagnosis for 1546 breast cancer survivors were compared with those at 12, 24, 36, 48, and 60 months after diagnosis. Absolute weight change (kg) and relative weight changes (%) were analyzed. Logistic regression was used to identify factors associated with short-term (1 year) and long-term (5 years) weight changes.

RESULTS

A significant decrease in mean weight was predominant at 12 months postdiagnosis. In subgroup analysis, the younger age group showed significant weight gains after 36 months. The older age group and chemotherapy (CT) group showed significant weight losses after 24 months. About 40% of weight gainers and 60% of weight losers at 12 months returned to their initial weight by 60 months postdiagnosis. CT and lower educational levels were associated with short-term weight loss and gain, respectively. For long-term changes, age at diagnosis was the sole associated factor.

CONCLUSIONS

Korean breast cancer survivors treated with CT mainly experienced postdiagnosis weight loss rather than weight gain. Short-term weight change was independently associated with chemotherapy and educational level. However, long-term weight change was associated with age at diagnosis. Breast cancer survivors with normal BMI may be categorized according to the time-dependent risk for postdiagnosis weight change.

A prospective evaluation of clinical and genetic predictors of weight changes in breast cancer survivors

BACKGROUND

Postdiagnosis weight gain in patients with breast cancer has been associated with increased cancer recurrence and mortality. This study was designed to identify risk factors for weight gain and create a predictive model to identify a high-risk population for targeted interventions.

METHODS

The weight of 393 patients with breast cancer from the Northwestern Robert H. Lurie Cancer Center was measured over a 2-year period from diagnosis, with body mass index (BMI) change over 18 months as the primary endpoint. Demographics, clinical factors, treatment methods, as well as tumor characteristics were also recorded; and a lifestyle questionnaire was conducted. Blood samples were genotyped for 16 single nucleotide polymorphisms in FTO, adiponectin pathway genes (ADIPOQ, ADIPOR1), and FNDC5. Serum leptin, adiponectin, and irisin levels also were measured.

RESULTS

Mean ± standard deviation 18-month BMI changes were 0.68 ± 1.42, 0.98 ± 1.62, 0.79 ± 1.74, and -0.44 ± 1.58 kg/m² for patients ages <40, 40 to 49, 50 to 59, and ≥60 years, respectively. The optimal multivariable model for 18-month BMI change contained the predictors age, height, and endocrine therapy, but only age was statistically significant, with a 0.04 kg/m² increase in 18-month BMI change per younger year of age. Single nucleotide polymorphisms in ADIPOR1, FTO, and FNDC5 were associated with 18-month BMI change, and the first 2 remained significant after adjusting for the optimal clinical model (all P < .05).

CONCLUSIONS

Women age 60 years and younger at the time of breast cancer diagnosis who have an obesity genetic risk model are at increased risk for weight gain after treatment and should be targeted for weight-maintenance interventions. Cancer 2017;123:2413-21. © 2017 American Cancer Society.

How to Manage the Obese Patient With Cancer

Purpose

Obesity (body mass index [BMI] ≥ 30 kg/m2) is common among patients with cancer. We reviewed management issues in the obese patient with cancer, focusing on how obesity influences treatment selection (including chemotherapy dosing), affects chemotherapy toxicity and surgical complications, and might be a treatment effect modifier.

Methods

The majority of evidence is drawn from observational studies and secondary analyses of trial data, typically analyzed in N × 3 BMI categories (normal weight, overweight, and obese) matrix structures. We propose a methodological framework for interpretation focusing on sample size and composition, nonlinearity, and unmeasured confounding.

Results

There is a common perception that obesity is associated with increased treatment-related toxicity. Accordingly, cytotoxic chemotherapy dose reduction is common in patients with elevated BMI. Contrary to this, there is some evidence that full dosing in obese patients does not result in increased toxicity. However, these data are from a limited number of regimens, and fail to fully capture cytotoxic drug pharmacodynamics and pharmacokinetic variability in obese patients. Among patients undergoing surgery, there is evidence that elevated BMI is associated with increased perioperative mortality and increased rates of infectious complications. A novel finding is that these relationships hold after surgery for malignancy, but not for benign indications. There are biologic plausibilities that obesity might be an effect modifier of treatment, but supporting evidence from clinical studies is inconsistent.

Conclusion

In line with the ASCO 2012 guidelines, chemotherapy dosing is probably best performed using actual body weight in obese patients. However, specific regimens known to be associated with increased toxicity in this group should be used with caution. There is no guidance on dose for obese patients treated with biologic agents. Currently, there are no specific recommendations for the surgical management of the obese patient with cancer.

Insulin Resistance and Inflammation in Black Women with and without Breast Cancer: Cause for Concern

OBJECTIVE

After chemotherapy for breast cancer, Black women gain more weight and have an increased mortality rate compared with White women. Our study objective was to compare biomarkers associated with obesity in Black women with and without a history of breast cancer.

DESIGN

Case-control.

SETTING

Academic/federal institution.

PARTICIPANTS

Black women with a history of breast cancer (cases) and age-matched controls.

MAIN OUTCOME MEASURES

Insulin resistance (HOMA-IR); inflammation (TNF-α, IL-1b, IL-6, IL-8, CRP); lipids (cholesterol, triglycerides).

METHODS

We compared insulin resistance, inflammation, and lipids in overweight and obese Black women with a history of breast cancer (n=19), age similar controls (n=25), and older controls (n=32). Groups did not differ on mean body mass index (BMI), which was 35.4 kg/m², 36.0 kg/m², and 33.0 kg/m², respectively.

RESULTS

Cases had 1.6 and 1.38 times higher HOMA-IR values compared with age similar and older controls, respectively (P≤.001 for both). TNF-α and IL-1b were significantly higher in cases compared with both control groups (P<.001 for both). IL-6 was also higher in cases compared with age-similar controls (P=.007), and IL-8 was lower in cases compared with older controls (P<.05). Lipids did not differ between cases and either control group.

CONCLUSIONS

Black women with breast cancer were significantly more insulin resistant with increased inflammation compared not only with age similar controls but with women who were, on average, a decade older. These biomarkers of insulin resistance and inflammation may be associated with increased risk of breast cancer recurrence and require ongoing evaluation, especially given the relatively abnormal findings compared with the controls in this underserved group.

Weight gain during adjuvant endocrine treatment for early-stage breast cancer: What is the evidence?

Most breast cancer (BC) tumors are early stage and hormone receptor positive, where treatment generally includes adjuvant endocrine treatment (ET). Oncology providers and women about to start ET want to know about side effects, including potential weight gain. The aim of this study was a literature review to identify the independent effect of ET on post-diagnosis weight gain. Weight gain is of concern with regard to potential associations with BC recurrence, mortality, and quality of life in survivorship. We conducted a targeted review of the literature. Thirty-eight studies met our inclusion criteria. Patient-reported weight gain ranged widely from 18 to 52 % of patients in Year 1 and from 7 to 55 % in Year 5. Some studies reported categories of weight change: lost weight (9-17 %), stable weight (47-64 %), and gained weight (27-36 %). Most studies comparing ET with placebo or tamoxifen with AI reported no significant difference between the two groups. Wide-ranging and inconsistent results point to the need for further research to clarify annual weight change (loss, gain, stability) from BC diagnosis through 5 years of ET and beyond. There is also a need to explore weight change by type of ET and to explore risk factors for weight gain in women on ET, including tumor type, sociodemographic characteristics, and health behaviors. More specific information is needed to identify high-risk BC patients who could be targeted for weight management interventions.

Metabolic and anthropometric changes in early breast cancer patients receiving adjuvant therapy

Weight gain and metabolic changes have been related to survival of early breast cancer patients (EBC). ‘’However, factors influencing metabolism post-diagnosis are not fully understood. We measured anthropometric [body mass index (BMI), body weight, waist and hip circumferences, and waist-to-hip ratio] and metabolic (levels of insulin, glucose, H1Ac, total, HDL, and LDL cholesterol, triglycerides, and the homeostasis model assessment score [HOMA]) parameters in 433 pre- and post-menopausal women with EBC at diagnosis and 3, 6, 9, 12, and 24 months thereafter. At diagnosis, compared with post-menopausal women, pre-menopausal patients were more likely to be leaner and to have a lower BMI, smaller waist and hip circumferences, and waist-to-hip ratio. They had also lower glucose, HbA1c, and triglyceride levels and a lower HOMA score. Furthermore, they were more likely to have an estrogen- and/or progesterone-positive tumor and a higher proliferating breast cancer. During the first two post-diagnosis years, all women showed a significant increase of weight (+0.72 kg/year, P < 0.001), waist circumference (+1.53 cm/year, P < 0.001), and plasma levels of LDL cholesterol (+5.4 mg/dl per year, P = 0.045) and triglycerides (+10.73 mg/dl per year, P = 0.017). In patients receiving chemotherapy only, there was a significant increase in hip circumference (+3.16 cm/year, P < 0.001) and plasma cholesterol levels (+21.26 mg/dl per year, P < 0.001). We showed that weight, body fat distribution, and lipid profile changed in EBC patients receiving adjuvant therapy. These changes occurred during the first 2 years after diagnosis and were not specifically related to chemotherapy, menopausal status, or initial body weight.

Patterns of Obesity and Lymph Fluid Level during the First Year of Breast Cancer Treatment: A Prospective Study

Obesity is one of the risk factors for developing lymphedema following breast cancer treatment. We prospectively enrolled 140 women and followed the participants for 12 months after surgery to investigate patterns of obesity and lymph fluid level in the first year of cancer treatment. Electrical bioimpedance devices were used to measure weight, BMI, and percent of body fat as well as lymph fluid level. General instructions were given to the participants on maintaining pre-surgery weight. Among the 140 participants, 136 completed the study with 2.9% attrition. More than 60% of the participants were obese (30.8%) or overweight (32.4%), while only two participants were underweight and about 35% had normal weight. This pattern of obesity and overweight was consistent at 4–8 weeks and 12 months post-surgery. At 12 months post-surgery, the majority of the women (72.1%) maintained pre-surgery weight and 15.4% had >5% weight loss; 12.5% of the women increase >5% of their weight. Significantly more patients in the obesity group had lymphedema defined by L-Dex ratio >7.1 than those in the normal/underweight and overweight group at pre-surgery and 4–8 weeks post-surgery. There was a trend of more patients in the obesity group had L-Dex ratio >7.1 at 12 months post-surgery. Obesity and overweight remain among women at the time of cancer diagnosis and the patterns of obesity and overweight continue during the first year of treatment. General instructions on having nutrition-balanced and portion-appropriate diet and physical activities daily or weekly can be effective to maintain pre-surgery weight.

Association of nutritional status with quality of life in breast cancer survivors

Nutritional status and dietary intake play a significant role in the prognosis of breast cancer and may modify the progression of disease. The aim of this study was to determine the influence of nutritional status on the quality of life of Iranian breast cancer survivors. Cross-sectional data were collected for 100 Iranian breast cancer survivors, aged 32 to 61 years, attending the oncology outpatient clinic at Golestan Hospital, Ahvaz, Iran. Nutritional status of subjects was assessed by anthropometric measurements, Patient-Generated Subjective Global Assessment (PG-SGA) and three non-consecutive 24-hour diet recalls. The European Organization of Research and Treatment of Cancer Quality of Life form (EORTC QLQ-C30) was used to assess quality of life. Ninety-four percent of the survivors were well-nourished, 6% were moderately malnourished or suspected of being malnourished while none were severely malnourished. Prevalence of overweight and obesity was 86%. Overall, participants had an inadequate intake of vitamin D, E, iron and magnesium according to dietary reference intake (DRI) recommendations. Survivors with better nutritional status had better functioning scales and experienced fewer clinical symptoms. It appears important to provide educational and nutritional screening programs to improve cancer survivor quality of life.

Weight gain prior to entry into a weight-loss intervention study among overweight and obese breast cancer survivors

PURPOSE

Changes in cancer therapy, in addition to changes in obesity prevalence, suggest the need for a current assessment of weight gain patterns following breast cancer diagnosis. The aim of this study was to evaluate factors associated with weight gain among breast cancer survivors prior to enrolling into a behavioral weight loss intervention.

METHODS

Anthropometric measures and data on weight-related factors were collected at baseline on 665 breast cancer survivors. Postdiagnosis weight gain was determined between entry into the trial and previous diagnosis up to 5 years. Multivariate logistic regression analyses were used to evaluate the association between weight gain and influencing factors.

RESULTS

The mean weight gain was 4.5 % body weight (standard deviation = 10.6); 44 % of women experienced ≥5 % body weight gain. The risk of weight gain was inversely associated with age (adjusted odds ratio (ORadj) = 0.97, 95 % confidence interval (95 % CI) 0.95-0.99), Hispanic ethnicity (ORadj = 0.30, 95 % CI 0.13-0.68), and overweight (ORadj = 0.11, 95 % CI 0.05-0.23) or obese (ORadj = 0.03, 95 % CI 0.02-0.07) status at diagnosis and positively associated with time elapsed since diagnosis (ORadj = 1.19/year, 95 % CI 1.04-1.36). Women prescribed aromatase inhibitors were 46 % less likely to gain weight compared to women prescribed selective estrogen-receptor modulators (ORadj = 0.54, 95 % CI 0.31-0.93). The risk of weight gain was positively associated with smoking at diagnosis (ORadj = 2.69, 95 % CI 1.12-6.49) although this was attributable to women who subsequently quit smoking.

CONCLUSIONS

Postdiagnosis weight gain is common and complex and influenced by age, ethnicity, weight, smoking status, time elapsed since diagnosis, and endocrine-modulating therapy.

IMPLICATIONS FOR CANCER SURVIVORS

Weight gain continues to be a concern following a diagnosis of breast cancer. Factors influencing this weight gain include age, ethnicity, weight, smoking status, time elapsed since diagnosis, and endocrine-modulating therapy. Effective weight management strategies are needed for this population of women.

Weight gain following breast cancer diagnosis: Implication and proposed mechanisms

Weight gain occurs in the majority of women following breast cancer treatment. An overview of studies describing weight gain amongst women treated with early to modern chemotherapy regimens is included. Populations at higher risk include women who are younger, closer to ideal body weight and who have been treated with chemotherapy. Weight gain ranges between 1 to 5 kg, and may be associated with change in body composition with gain in fat mass and loss in lean body mass. Women are unlikely to return to pre-diagnosis weight. Possible mechanisms including inactivity and metabolic changes are explored. Potential interventions are reviewed including exercise, dietary changes and pharmacologic agents. Although breast cancer prognosis does not appear to be significantly impacted, weight gain has negative consequences on quality of life and overall health. Future studies should explore change in body composition, metabolism and insulin resistance. Avoiding weight gain in breast cancer survivors following initial diagnosis and treatment should be encouraged.

Weight Gain and its Correlates among Breast Cancer Survivors

PURPOSE

Weight gain after diagnosis of breast cancer is a profound issue that may negatively impact cancer prognosis. However, most existing research on weight change has been conducted in Western countries. In addition, several factors related to weight gain have been reported; however, the evidence is inconsistent. The purpose of this study was to examine weight gain and its correlates among Korean breast cancer survivors.

METHODS

A total of 132 female breast cancer survivors were recruited from one university hospital in South Korea. Participants completed anthropometric measurements (i.e., body weight, height) and a self-reported questionnaire, including the International Physical Activity Questionnaire Short Form and Mini Dietary Assessment.

RESULTS

The mean weight change was -0.09 kg (SD = 4.28). Only 27 women (19.7%) gained more than 5% of their weight at diagnosis, 59.1% maintained weight, and 21.2% lost weight. In multivariate logistic regression analysis, significant correlates of weight gain were younger age, obesity at diagnosis, duration of more than 36 months since diagnosis, and low diet quality.

CONCLUSION

Younger women, women who were obese at diagnosis, women with more than 36 months since diagnosis, or women who showed lower diet quality should be considered at high-risk for weight gain. Findings from our study suggest that optimal weight management strategies should be developed using ethnically- or culturally-appropriate approaches.

Clinical and genetic predictors of weight gain in patients diagnosed with breast cancer

Background:

Post-diagnosis weight gain in breast cancer patients has been associated with increased cancer recurrence and mortality. Our study was designed to identify risk factors for this weight gain and create a predictive model to identify a high-risk population for targeted interventions.

Methods:

Chart review was conducted on 459 breast cancer patients from Northwestern Robert H. Lurie Cancer Centre to obtain weights and body mass indices (BMIs) over an 18-month period from diagnosis. We also recorded tumour characteristics, demographics, clinical factors, and treatment regimens. Blood samples were genotyped for 14 single-nucleotide polymorphisms (SNPs) in fat mass and obesity-associated protein (FTO) and adiponectin pathway genes (ADIPOQ and ADIPOR1).

Results:

In all, 56% of patients had >0.5 kg m^–2 increase in BMI from diagnosis to 18 months, with average BMI and weight gain of 1.9 kg m^–2 and 5.1 kg, respectively. Our best predictive model was a primarily SNP-based model incorporating all 14 FTO and adiponectin pathway SNPs studied, their epistatic interactions, and age and BMI at diagnosis, with area under receiver operating characteristic curve of 0.85 for 18-month weight gain.

Conclusion:

We created a powerful risk prediction model that can identify breast cancer patients at high risk for weight gain.

Long-term weight gain among Hispanic and non-Hispanic White women with and without breast cancer

Weight gain following breast cancer diagnosis is common, but limited data exists on whether this gain is in excess of that gained during normal aging. This study investigated weight patterns among women with and without breast cancer to determine the effects of the breast cancer experience on weight change. Using the SHINE 4-Corners Breast Cancer Study, 305 women with breast cancer and 345 women without were followed prospectively. Weight change of ≥5% was defined as the difference between the self-reported weight measurements obtained at breast cancer diagnosis (or referent date for women without breast cancer) and about 6 yr later. Multiple logistic regression analyses were used. Within this cohort, 60% of women were overweight or obese and 37% of women gained weight. No significant greater weight gain was observed between women with vs. without breast cancer [adjusted odds ratio (ORadj) = 1.15, 95% CI 0.79-1.68] or between Hispanic vs. non-Hispanic White women (ORadj = 1.09, 95% CI 0.72-1.66) after adjustment. Weight gain was associated with being younger and having a lower body mass index. Among breast cancer survivors, cancer treatment factors were not associated with weight gain. These results suggest that weight management approaches are needed, especially those targeted to at-risk populations such as breast cancer survivors.

Exercise after diagnosis and metabolic syndrome among breast cancer survivors: a report from the Shanghai Breast Cancer Survival Study

Metabolic syndrome (MetS) is an established risk factor for cardiovascular diseases and mortality. Limited data are available on the prevalence of MetS and its association with exercise among breast cancer survivors. The present study included 1,696 breast cancer survivors from the Shanghai Breast Cancer Survival Study, a population-based prospective cohort study conducted between April 2002 and October 2011 in Shanghai, China. All women had a physical examination taken at study clinic approximately 60 months post-diagnosis. Exercise was assessed at approximately 6, 18, 36, and 60 months post-diagnosis. Information on medical history, tumor characteristics, cancer treatment, anthropometrics, and lifestyle was collected at study enrollment. Associations between exercise and MetS at 60 months post-diagnosis were evaluated with multivariable logistic regression models. The mean age of the study population was 56.68 at 60-month survey, and the mean follow-up since cancer diagnosis was 63.66 months. The prevalence of MetS using National Cholesterol Education Program Adult Treatment Panel III criteria at approximately 60 months after diagnosis was 33.14%. Among overweight and obesity breast cancer survivors (body mass index (BMI) ≥ 25 kg/m(2) at baseline), the prevalence was 55.18%. The most common type of exercise in this population was walking (45.40%) at baseline. Exercise participation between 6 and 60 months post-diagnosis was inversely associated with the prevalence of MetS with the adjusted odds ratio (OR) for exercise participation of ≥ 3.5 h/week (30 min/day) being 0.69 (95% confidence interval (CI) 0.48-0.98). In addition consistent exercise participation reduced the prevalence of MetS (adjusted OR 0.70 (95% CI 0.50-1.00). Associations of exercise with MetS were not modified by baseline waist circumference, BMI, comorbidity, baseline menopausal status, TNM stage, cancer treatment, or ER/PR status (p interactions > 0.05). Regular and persistent exercise after cancer diagnosis, even at low-to-moderate intensity level, decreases the prevalence of MetS among long-term breast cancer survivors.

Weight management and its role in breast cancer rehabilitation

Overweight and obesity are risk factors for postmenopausal breast cancer, and many women diagnosed with breast cancer, irrespective of menopausal status, gain weight after diagnosis. Weight management plays an important role in rehabilitation and recovery because obesity and/or weight gain may lead to poorer breast cancer prognosis, as well as prevalent comorbid conditions (eg, cardiovascular disease and diabetes), poorer surgical outcomes (eg, increased operating and recovery times, higher infection rates, and poorer healing), lymphedema, fatigue, functional decline, and poorer health and overall quality of life. Health care professionals should encourage weight management at all phases of the cancer care continuum as a means to potentially avoid adverse sequelae and late effects, as well as to improve overall health and possibly survival. Comprehensive approaches that involve dietary and behavior modification, and increased aerobic and strength training exercise have shown promise in either preventing weight gain or promoting weight loss, reducing biomarkers associated with inflammation and comorbidity, and improving lifestyle behaviors, functional status, and quality of life in this high-risk patient population.

Quality of life, fertility concerns, and behavioral health outcomes in younger breast cancer survivors: a systematic review

BACKGROUND

Breast cancer is the most common cancer in women younger than age 50 years. Cancer treatments in younger women may cause premature menopause, infertility, and negative psychosocial effects. In this systematic review, we examined three key domains of functioning that are particularly relevant for younger breast cancer survivors: health-related quality of life (QOL), menopausal symptoms and fertility concerns, and behavioral health outcomes.

METHODS

We conducted a literature review using PubMed and secondary sources and examined 840 articles published between January 1990 and July 2010. Inclusion criteria for articles were 1) published in English after 1989; 2) exclusively analyzed female breast cancer survivors aged 50 years or younger or premenopausal at diagnosis, with baseline characteristics and/or quantitative or descriptive analyses for this age group; 3) investigated QOL (health-related QOL including physical functioning and mental health, depression, and anxiety), menopause- or fertility-related concerns, and weight gain or physical activity-related behavioral health outcomes. Data were extracted using a standardized table collecting the purpose, design, population, and results of each study. Extracted data were reviewed for accuracy by two investigators and presented as descriptive tables.

RESULTS

A total of 28 articles met the inclusion criteria (15 cross-sectional studies, eight longitudinal studies, and five randomized trials). Regarding data review, no discordance between investigators was noted. Standardized measures of QOL and depressive symptoms identified worse outcomes as being more frequent or severe in breast cancer survivors aged 50 years or younger when compared with the general age-matched population of women without cancer and to older women (aged >50 years) with breast cancer. Concerns about premature menopause, menopausal symptoms, and infertility were common in younger women (aged ≤ 50 years) and had a role in the level of distress after treatment. Weight gain and physical inactivity were common health outcomes in younger women.

CONCLUSIONS

Younger women with breast cancer were found to experience distinct psychosocial and menopause-related concerns, weight gain, and physical inactivity. A need for more longitudinal research, including efforts at intervention to manage these symptoms and adverse health outcomes, remains.

Weight changes in oncology patients during the first year after diagnosis: a qualitative investigation of the patients' experiences

BACKGROUND

Weight changes are one of the most common symptoms experienced by patients with cancer. However, limited empirical data are available on how cancer patients react to changes in their weight following their diagnosis and treatment.

OBJECTIVE

The present study aims to acquire a deeper understanding of cancer patients' experiences with the physical manifestations of weight loss or gain, the consequence of these changes on their psychosocial life, and their self-management strategies.

METHODS

Semistructured interviews with 54 cancer patients were conducted longitudinally 2 to 3 weeks after their diagnosis. Follow-up interviews were carried out at 3, 6, and 12 months after diagnosis.

RESULTS

From the 54 patients recruited, 34 patients disclosed weight gain, whereas 37 experienced weight loss, suggesting that 17 patients experienced weight fluctuation. Analysis generated 4 themes that reflected the complex dynamics of weight change. Themes were "experiences with the physical manifestations of weight loss or gain," "psychological effects," "self-management," and "social consequences."

CONCLUSION

This study confirms that weight changes have far more complicated implications for patients with cancer, extending beyond physical problems into psychosocial issues. Changes are a constant reminder of the diagnosis and treatment and are persistent across all stages.

IMPLICATIONS FOR PRACTICE

These findings highlight the importance of nutritional psychosocial rehabilitation programs during the cancer trajectory.

Weight changes and lifestyle behaviors in women after breast cancer diagnosis: a cross-sectional study

BACKGROUND

Weight gain rather than weight loss often occurs after breast cancer diagnosis despite breast cancer survivors frequently reported making healthful lifestyle changes. This study describes the prevalence and magnitude of changes in weight before and after breast cancer diagnosis and examines lifestyle behaviors of breast cancer survivors with stable weight, weight gain or weight loss.

METHODS

Respondents were 368 women with breast cancer characterized by stages I, II and III. All were recruited from hospitals or breast cancer support groups and had completed conventional treatment. Current weight and height were measured while weight at cancer diagnosis and 1 year before diagnosis were self-reported. Weight change was calculated as the difference between current weight and weight a year preceding breast cancer diagnosis. A 24-hour diet recall and Global Physical Activity Questionnaire assessed dietary intake and physical activity, respectively. Differences in lifestyle behaviors among weight change groups were examined using Analysis of Covariance (ANCOVA).

RESULTS

Mean weight change from a year preceding diagnosis to study entry was 2.73 kg (95% CI: 1.90-3.55). Most women (63.3%) experienced weight gain rather than weight loss (36.7%) with a higher percentage (47.8%) having at least 5% weight gain (47.8%) rather than weight loss (22%), respectively. Compared to other weight change groups, women in >10% weight gain group had the lowest fruit and vegetable servings (1.58 servings/day; 95% CI: 1.36-1.82) and highest servings of dairy products (0.41 servings/day; 95% CI: 0.30-0.52).

CONCLUSIONS

Weight gain was evident in this sample of women after breast cancer diagnosis. Information on magnitude of weight change after breast cancer diagnosis and lifestyle behaviors of breast cancer survivors with varying degrees of weight change could facilitate the development and targeting of effective intervention strategies to achieve healthy weight and optimal health for better survival.

Biomarkers of the metabolic syndrome and breast cancer prognosis

In spite of its public health importance, our understanding of the mechanisms of breast carcinogenesis and progress is still evolving. The metabolic syndrome (MS) is a constellation of biochemical abnormalities including visceral adiposity, hyperglycemia, hyperinsulinemia, dyslipidemia and high blood pressure. The components of the MS have all been related to late-stage disease and even to a poor prognosis of breast cancer through multiple interacting mechanisms. In this review, we aim to present a summary of recent advances in the understanding of the contribution of the MS to breast cancer with the emphasis on the role of biomarkers of the MS in the prognosis of breast cancer.