Metabolic syndrome and the risk of breast cancer among postmenopausal women in North-West China

The relationship between demographic factors and known risk factors with breast cancer in women aged 30-69

Background

Breast cancer is one of the most important causes of cancer deaths in women. The present study was conducted to determine the relationship between demographic factors and known risk factors with breast cancer in women aged 30-69.

Method

This case-control study was conducted with two matched and unmatched control groups. Three hundred fifty women aged 30-69 with breast cancer, 350 age-matched women without cancer, and 350 not age-matched women were included in the study. Controls were selected from the records of women whose breast cancer screening results were normal. Study subjects were evaluated regarding the risk factors for breast cancer. The data collection tool was a checklist including the risk factors investigated in the integrated health system. The collected data were analyzed utilizing SPSS22 software at a significance level of less than 0.05.

Results

The average age in the case group was 46.63±11.77 years and 49.61±8.39 in the unmatched control group. The average age of marriage in the case group was 21.54±4.31, and the average age of women at first pregnancy in the case group was 24.06±3.39 years. In the case group, 163 people (46.57%) lived in the city, 221 people (63.14%) were over 40 years old, and 337 people (96.28%) were married. In multivariate analysis, the variable 'age of marriage' 0.821 (0.691-0.976) and 'age of first pregnancy' 1.213 (1.020-1.443) showed a significant relationship with breast cancer which were observed as predictors of breast cancer in comparison to the unmatched control group (P-value <0.05).

Conclusion

The age of the first pregnancy and the type of delivery were observed as predictors of breast cancer. Therefore, by performing breast cancer screening in women who are exposed to these risk factors, early diagnosis of the disease and increasing the speed of their treatment can be significantly helped.

Diabetes and incidence of breast cancer and its molecular subtypes: A systematic review and meta-analysis

Diabetes mellitus (DM) has been proposed to be positively associated with breast cancer (BCa) risk due to shared risk factors, metabolic dysfunction, and the use of antidiabetic medications. We conducted a systematic review and meta-analysis to evaluate the association between DM and BCa risk. We searched PubMed, Embase, and Web of Science for cohort and case-control studies assessing the association between DM and BCa published before 10 December 2021. Two reviewers independently screened the studies for inclusion, abstracted article data, and rated study quality. Random effects models were used to estimate summary risk ratios (RRs) and 95% confidence intervals (CIs). From 8396 articles identified in the initial search, 70 independent studies were included in the meta-analysis. DM was associated with an overall increased risk of BCa (RR = 1.20, 95% CI: 1.11-1.29). The 24 case-control studies demonstrated a stronger association (RR = 1.26, 95% CI: 1.13-1.40) than the 46 cohort studies (RR = 1.15, 95% CI: 1.05-1.27). Studies reporting risk by menopausal status found that postmenopausal women had an elevated risk of developing BCa (RR = 1.12, 95% CI: 1.07-1.17). No association between DM and BCa risk was observed among premenopausal women (RR = 0.95, 95% CI: 0.85-1.05). In addition, DM was associated with significantly increased risks of oestrogen receptor (ER)+ (RR = 1.09, 95% CI: 1.00-1.20), ER- (RR = 1.16, 95% CI: 1.04-1.30), and triple negative BCa (RR = 1.41, 95% CI: 1.01-1.96). The association estimate for human epidermal growth factor 2-positive BCa was also positive (RR = 1.21, 95% CI: 0.52-2.82), but the CI was wide and crossed the null. Our meta-analysis confirms a modest positive association between DM and BCa risk. In addition, our results suggest that the association between DM and BCa may be modified by menopausal status, and that DM may be differentially associated with BCa subtypes defined by receptor status. Additional studies are warranted to investigate the mechanisms underlying these associations and any influence of DM on BCa receptor expression.

Metabolic Syndrome and Breast Cancer: Prevalence, Treatment Response, and Prognosis

Metabolic syndrome is a type of multifactorial metabolic disease with the presence of at least three factors: obesity, diabetes mellitus, low high-density lipoprotein, hypertriglyceridemia, and hypertension. Recent studies have shown that metabolic syndrome and its related components exert a significant impact on the initiation, progression, treatment response, and prognosis of breast cancer. Metabolic abnormalities not only increase the disease risk and aggravate tumor progression but also lead to unfavorable treatment responses and more treatment side effects. Moreover, biochemical reactions caused by the imbalance of these metabolic components affect both the host general state and organ-specific tumor microenvironment, resulting in increased rates of recurrence and mortality. Therefore, this review discusses the recent advances in the association of metabolic syndrome and breast cancer, providing potential novel therapeutic targets and intervention strategies to improve breast cancer outcome.

Metabolic Syndrome: does this influence breast cancer outcomes in the triple-negative population?

INTRODUCTION

Metabolic syndrome (MS) is defined by having at least 3 of 4 components: obesity, dyslipidemia, hypertension (HTN), and diabetes. Prior studies analyzed the individual components of MS for all breast cancers which are predominantly hormone positive. Our study is the first to evaluate MS in triple-negative breast cancer (TNBC).

METHODS

A retrospective review of TNBC from 2007 to 2013 identified 177 patients with complete information for statistical analysis. Cox proportional hazards models were used to test the association between MS, disease-free survival (DFS), and overall survival (OS).

RESULTS

48 (27%) patients had MS. After controlling for age, race, pathologic stage, surgery type, and additional comorbidities outside of MS, MS was significantly associated with poorer DFS (adjusted HR: 2.24, p = 0.030), but not associated with OS (adjusted HR: 1.92, p = 0.103). HTN was significantly associated with poorer DFS (adjusted HR: 3.63, p = 0.006) and OS (adjusted HR: 3.45, p = 0.035) in the univariable and multivariable analyses. Diabetes was not associated with worse OS or DFS. The 5-year age-adjusted OS rates for 60-year-old patients with and without diabetes were 85.8% and 87.3%, respectively. The age-adjusted 5-year OS rate for 60-year old patients was higher in patients with a body mass index (BMI) > 30 (90.2%) versus BMIs of 25-29.9 (88.2%) or < 25 (83.5%).

CONCLUSION

In the TNBC population, MS was significantly associated with poorer DFS, but not associated with OS. HTN was the only component of MS that was significantly associated with both DFS and OS. Obesity has a potential small protective benefit in the TNBC population.

Apolipoprotein A1 and Low-Density Lipoprotein as Risk Factors for Intraocular Metastases in Postmenopausal Breast Cancer

BACKGROUND

The outcomes of patients with postmenopausal breast cancer(PBC) can be improved through the early detection of intraocular metastases(IOMs). In this study, we investigated patients with PBC, and compared those with IOMs with those with non-intraocular metastases(NIOMs) in terms of blood lipid levels, and then differentiated the risk factors associated with IOMs.

METHODS

Student's t-test and a chi-square test were used to discriminate between the IOMs and NIOMs groups. After establishing a Poisson regression model to analyze risk factors, we plotted receiver operating characteristic curves(ROC) to assess the quality of risk factors predicting IOMs.

RESULTS

The incidence of IOMs in PBC was 1.16%. There was no significant difference in terms of histopathology between the 2 groups. The levels of total cholesterol (TC), apolipoprotein A1(APOA1) and low-density lipoprotein(LDL) in IOMs were significantly lower than in NIOMs groups. Poisson regression suggested that low levels of APOA1 and LDL were risk factors for IOMs (P = 0.002 and P < 0.001, respectively). ROC curve analysis demonstrated that the cut-off values of APOA1 and LDL were 1.025 g/L and 2.415 mmol/L. The highest prediction accuracy for IOMs involved the combination of APOA1 and LDL (AUC = 0.881, P < 0.001).

CONCLUSION

Our research demonstrates that low levels of APOA1 and LDL efficiently predict IOMs in PBC as risk factors, and the combination of APOA1 and LDL was more predictive than single factors.

The Relationship Between Breast Density, Bone Mineral Density, and Metabolic Syndrome Among Postmenopausal Turkish Women

The relationship between metabolic syndrome (MetS) and menopause remains unclear. The effects of MetS on breast and bone density in this group of women are also not fully elucidated. Herein, we aimed to investigate the relationship between components of the MetS, mammographic breast density (MBD), and vertebral/femoral bone mineral density (BMD) in postmenopausal Turkish women. The study group consisted of postmenopausal women with MetS whereas controls postmenopausal women without MetS. All consecutive women who applied to our center for routine postmenopausal follow up and met the inclusion criteria, between July 2013 and October 2015 were included in the study. Menopause was defined as the cessation of menstruation for at least 1 year, and we used the definition of the MetS suggested by a joint interim statement. BMD of the spine and femur was measured by dual energy X-ray absorptiometry. The medical records of 390 postmenopausal were retrospectively reviewed. No significant differences were observed between the groups in terms of age, menopause type, and menopause duration (p > 0.05). Decreased MBD (for grade 1-2 and 3-4 densities) was associated with increased MetS risk (p = 0.017). Total femoral BMD, total lumber BMD, femoral neck BMD were significantly higher in postmenopausal women with MetS (p < 0,005). This study is the first report focusing on the relationship between MetS and breast/bone density. According to the results of our study, the presence of MetS in postmenopausal periods has a positive effect on both MBD and BMD.

Relationship Between Metabolic Syndrome and Postmenopausal Breast Cancer

INTRODUCTION

Metabolic syndrome is associated with an increased risk of diabetes mellitus (DM) and coronary heart disease. It may also be associated with a higher risk of some common cancers. The objective of this study was to determine the relationship between metabolic syndrome and breast cancer in postmenopausal women.

METHODS

We present a prospective cohort study of postmenopausal women. This cohort was divided into two groups: the «benign diagnosis group», including women who were studied after breast cancer screening; and the «malignant tumor group», including patients with breast cancer that had been diagnosed by biopsy. Age, weight, height, body mass index (BMI), abdominal perimeter, serum glucose, LDL, HDL and insulin levels were analyzed as variables under study. The HOMA-IR homeostatic model formula was used to assess insulin resistance. The differences were considered statistically significant when P<.05.

RESULTS

Two hundred women with a mean age of 61.5±9.6 (range: 37-93) were enrolled in the study, consisting of 150 (75%) patients with a benign diagnosis and 50 (25%) patients with a malignant tumor. BMI and abdominal perimeter were higher in the group with a malignant tumor (P<.05). The incidence of DM and metabolic syndrome was higher in the malignant tumor group (P<.005). In the malignant tumor group, much higher incidences correlated with fasting glycemic levels >100mg/dL, insulin levels >10mIU/L and HOMA-IR scores >2.7 (P<.05).

CONCLUSIONS

There is a relationship between metabolic syndrome and postmenopausal breast cancer. More studies are needed to establish methods for the prevention of breast cancer in women with metabolic syndrome.

The Metabolic Syndrome Is a Risk Factor for Breast Cancer: A Systematic Review and Meta-Analysis

BACKGROUND

The metabolic syndrome (MetS) has been associated with the pathogenesis and prognosis of various malignant tumors. In this systematic review and meta-analysis, we explored the relationship between MetS and breast cancer (BC).

METHODS

Relevant studies were systematically searched on Ovid MEDLINE, Embase, Cochrane database, and PubMed up to September 16, 2019, using "breast cancer" and "metabolic syndrome" as keywords. Eligible studies with clear definition of MetS, available data, and relationships between MetS and BC were evaluated using a risk ratio (RR) and its 95% confidence interval (CI).

RESULTS

Twenty-five studies, including 13 cohort studies and 12 case-control studies, met the inclusion criteria, which assessed a total of 392,583 female participants and 19,628 BC patients. The results revealed a statistically significant increase by 52% of the risk of BC in adult females with MetS (RR = 1.49, 95% CI = 1.31-1.70, p < 0.0001). Postmenopausal MetS patients may have a twofold risk to suffer BC (RR = 2.01, 95% CI = 1.55-2.60, p < 0.001). The risk of BC increased markedly with the number of MetS components: RR = 1.00 for 1 component (p = 0.976), RR = 1.40 for 2 components (p = 0.121), and RR = 1.98 for >3 components (p < 0.001). The risk factors associated with BC were obesity, hypertension, and diabetes (RR = 1.33, 1.19, and 1.30 respectively, all p < 0.001).

CONCLUSIONS

Our study demonstrated that MetS is highly related with BC. In postmenopausal patients with ≥2 MetS components or a combination of obesity, hypertension, and diabetes, routine BC screening could help to detect BC at an early stage.

Associations of obesity with osteoporosis and metabolic syndrome in Korean postmenopausal women: a cross-sectional study using national survey data

In a representative sample of 3058 Korean postmenopausal women, we studied which types of obesity were more or less desirable for developing concomitant osteoporosis and metabolic syndrome (MS), with the goal of helping clinicians identify steps to reduce patients' risk. Different definitions of obesity showed different relationships with osteoporosis and MS in this population.

PURPOSE

To examine sample characteristics, prevalence, and the risk of osteoporosis and metabolic syndrome among four groups of postmenopausal women classified by obesity.

METHODS

Data from the Korea National Health and Nutrition Examination Survey were analyzed using the Rao-Scott chi-square test, analysis of variance, and multinomial logistic regression analysis. The four groups included body mass index (BMI)-based obese, waist circumference (WC)-based obese, BMI-, and WC-based obese, and non-obese women, using BMI and WC cutoffs for obesity of ≥ 25 kg/m² and ≥ 80 cm, respectively.

RESULTS

The prevalence of osteoporosis and MS was 40.8% and 48.5%, respectively. Age, socioeconomic status, smoking status, and hormone therapy use differed among the obese groups. The odds ratios of simultaneously having both osteoporosis and MS in the BMI- and WC-based obese, BMI-based obese, WC-based obese, and non-obese groups were 7.39 (95% confidence interval [CI] = 4.83-11.31), 0.74 (95% CI = 0.27-1.98), 7.07 (95% CI = 4.72-10.58), and 1, respectively.

CONCLUSIONS

The findings demonstrate the most and the least desirable types of obesity in terms of risk for both osteoporosis and MS. Public health practitioners may consider the type of obesity to reduce or prevent both conditions in postmenopausal women.

Metabolic Syndrome, and Particularly the Hypertriglyceridemic-Waist Phenotype, Increases Breast Cancer Risk, and Adiponectin Is a Potential Mechanism: A Case-Control Study in Chinese Women

Objective: To investigate the association between metabolic syndrome and breast cancer and to elucidate the potential mechanism underlying this association. Patients and Methods: Based on baseline data drawn from 21 hospitals in 11 provinces of China, we performed a case-control study among 1,127 women (595 cases and 532 controls), divided into premenopausal, and postmenopausal subgroups. Student's t test, Pearson's χ² test, and logistic regression analyses were performed to ascertain the association between breast cancer and metabolic syndrome, including all of its components. In addition, we attempted to clarify the potential role of adiponectin in this association. Results: Among the components of metabolic syndrome, abnormal waist circumference was the component that markedly increased breast cancer risk in premenopausal women (OR 1.447, 95% CI 1.043-2.006). Metabolic syndrome with clusters of special risk factors showed an association with breast cancer risk. Among all these components of metabolic syndrome, the hypertriglyceridemic-waist (HW) phenotype significantly increased breast cancer risk (OR 1.56, 95% CI 1.02-2.39), regardless of menopausal status, rendering it a strong predictor of breast cancer. Total adiponectin levels and high-molecular-weight adiponectin were reversely associated with metabolic syndrome. In addition, total adiponectin levels among breast cancer patients were much lower than among controls (6.67 ± 3.05 vs. 8.01 ± 4.18, p = 0.014) only in the HW phenotype subgroup. Furthermore, the HW phenotype was associated with increased risk of estrogen receptor/progesterone receptor-positive (ER+/PR+) and -negative (ER-/PR-) breast cancer, with a 51% (OR 1.51, 95% CI 1.03-2.21) and 69% (OR 1.69, 95% CI 1.05-2.72) increase, respectively. However, there was no significant association between the HW phenotype and the ER+/PR- subtype. These results suggested that low adiponectin levels may be a mechanism that explains the association between the HW phenotype and breast cancer risk. Conclusion: Metabolic syndrome with special cluster factors is related to breast cancer risk; in particular, the HW phenotype can be regarded as a strong predictor of breast cancer. As an important factor involved in fat metabolism, adiponectin may strongly predict metabolic syndrome, especially the HW phenotype and breast cancer. Further research into this mechanism and epidemiological studies are needed. This study provides new evidence for the role of a healthy lifestyle in preventing breast cancer.

Exploring the link between number of years since menopause and metabolic syndrome among women in rural China: a cross-sectional observational study

The aim of this article was to explore the link between postmenopausal status according to years since menopause (YSM) and the prevalence of metabolic syndrome (MetS). This survey was conducted from January 2012 to August 2013. A total of 6022 women (3511, 58.3% were post-menopause) from Rural Northeast China were randomly selected and examined. The prevalence of the MetS was significantly higher in postmenopausal women (Post-MW) than in premenopausal women (Pre-MW) (55.0% vs. 33.1%, p .001). The risk for MetS in Post-MW increased with the number of YSM, reaching the peak level in the 5- to 9-year group (OR, 1.55; 95% CI, 1.23-1.96), and then decreased. The 5- to 9-year group had the highest risk of high glucose (OR, 1.48; 95% CI, 1.20-1.83) and high triglycerides (adjusted OR, 1.92; 95% CI, 1.53-2.41) whereas the risk for abdominal obesity, high BP, and low HDL-C was not significantly associated with the number of YSM. These findings suggested that, in China, Post-MW with 5-9 YSMs had the highest risk of MetS. YSM can be a useful screening tool to identify women at high risk for MetS.

Neutrophil-to-lymphocyte ratio, obesity, and breast cancer risk in Chinese population

Breast cancer (BC), obesity, and metabolic syndrome (MetS) shared a common mechanism of dysregulated metabolism and inflammatory response in disease initiation. Neutrophil-to-lymphocyte ratio (NLR) is associated with adverse survival of BC patients. The aim of this study is to identify risk effect between NLR and BC in Chinese population with or without obesity and MetS. BC and age-matched breast benign disease (BBD) patients were retrospectively analyzed from Comprehensive Breast Health Center, Shanghai Ruijin Hospital. MetS was defined using AHA/NHLBI criteria. Individuals were classified into very low (0-1.30), low (1.31-1.67), intermediate (1.68-2.20), and high (>2.20) NLR subsets by each NLR quartile. In all, 1540 BC and 1540 BBD patients were included. Univariate and multivariate analysis found that NLR (OR: 1.27, 95% CI: 1.16-1.39, P < .001) and obesity (OR: 1.19, 95% CI: 1.00-1.42, P = .046) but not MetS (P = .060) were significantly associated with increased BC risk. Intermediate or high NLR substantially increased BC risk compared to very low NLR group (OR: 1.57, 95% CI: 1.29-1.92, P < .001; OR: 1.84, 95% CI: 1.50-2.25, P < .001; respectively) in whole population. Subgroup analysis found that the impact of higher NLR on BC risk was more obvious in patients without obesity (intermediate NLR, OR: 1.72, 95% CI: 1.37-2.16, P < .001; high NLR, OR: 1.92, 95% CI: 1.53-2.41, P < .001) or without MetS (intermediate NLR, OR: 1.70, 95% CI: 1.35-2.14, P < .001; high NLR, OR: 1.98, 95% CI: 1.57-2.51, P < .001). Higher preoperative NLR was found in BC patients compared with BBD patients. Intermediate to high NLR level substantially increased BC risk, which was more relevant for those without obesity or MetS.

Blood pressure and risk of breast cancer, overall and by subtypes: a prospective cohort study

OBJECTIVE

Blood pressure (BP) and breast cancer may share a common pathophysiologic pathway involving chronic inflammation, hormone synthesis and metabolism. Previous studies investigating the association between BP and breast cancer measured BP at a single time point and did not examine associations by breast cancer molecular subtypes.

METHODS

We used data from 22 833 female participants in the Melbourne Collaborative Cohort Study. BP was objectively measured at baseline (1990-1994) and a follow-up visit (2003-2007). Cox regression was used to estimate hazard ratios for baseline BP and temporal changes in BP in relation to risk of breast cancer, overall and by molecular subtypes.

RESULTS

We did not observe any associations between BP measured at baseline and breast cancer risk overall (per 5 mmHg SBP, hazard ratio = 1.00, 95% confidence interval: 0.99-1.02), nor by subtype (per 5 mmHg SBP: estrogen-receptor-negative: hazard ratio = 0.99, 0.96-1.03, progesterone-receptor-negative: hazard ratio = 1.01, 0.99-1.04, human epidermal growth factor receptor 2 negative: hazard ratio = 1.00, 0.98-1.01). Temporal changes in BP were not associated with risk of breast cancer (per 5 mmHg change in SBP, hazard ratio = 1.00, 0.97-1.03). Increased DBP over time was associated with higher risk of triple-negative breast cancer (P = 0.04), based on a small number of cases (N = 41).

CONCLUSION

Our study supports previous findings of no association between BP and breast cancer. Similar conclusions were reached when assessing BP over time and when examining specific tumor subtypes.

Cardiometabolic risk factors and survival after breast cancer in the Women's Health Initiative

BACKGROUND

Few studies have examined the relationship between cardiometabolic risk factors linked to metabolic syndrome and mortality among women with breast cancer.

METHODS

We used the Women's Health Initiative to evaluate the relationship between cardiometabolic risk factors, including waist circumference (WC), blood pressure, cholesterol level, and presence of type 2 diabetes, and their relation with death from breast cancer, cardiovascular disease (CVD), and other causes among 8641 women with local or regional stage invasive breast cancer. Cox proportional hazards models were used to estimate hazard ratios, and 95% confidence intervals, adjusted for important predictors of survival.

RESULTS

After a median of 11.3 years, there were 2181 total deaths, 619 (28.4%) of which were due to breast cancer. Most participants (55.7%) had at least 2 cardiometabolic risk factors, and 4.9% had 3 or 4. Having a larger number of risk factors was associated with higher risk of CVD and other-cause mortality (P trend < .001 for both), but not with breast cancer mortality (P trend = .86). Increased WC was associated with a higher risk of CVD (hazard ratio [HR], 1.28; 95% confidence interval [CI], 1.05-1.57) and other-cause mortality (HR, 1.32; 95% CI, 1.16-1.49) and only with a small and nonsignificant higher risk of breast cancer mortality (HR, 1.19; 95% CI, 0.93-1.52). The results did not differ in analyses stratified by race, hormone receptor status, or after an analysis of cases diagnosed within 5 years after baseline.

CONCLUSIONS

Among women with early stage breast cancer, cardiometabolic risk factors are significantly associated with cardiovascular and other-cause mortality, but not breast cancer mortality. Cancer 2018;124:1798-807. © 2018 American Cancer Society.

Hypertension and breast cancer risk: a systematic review and meta-analysis

Observational studies examining the relationship between hypertension and breast cancer risk have reported conflicting findings. We conducted this systematic review and meta-analysis to summarize the evidence regarding the association between hypertension and risk of breast cancer. Eligible studies were identified through a comprehensive literature search of PubMed, EMBASE, and the Cochrane library until August 2016. We included observational studies that reported relative risks (RR) with corresponding 95% confidence intervals (CIs). Results from individual studies were pooled by using a random-effects model. 29 articles of 30 studies, with totally 11643 cases of breast cancer, were eligible for inclusion in the meta-analysis. We observed a statistically significant association between hypertension and increased breast cancer risk (RR: 1.15; 95% CI: 1.08, 1.22). In the subgroup analysis, we found a positive association between hypertension and breast cancer incidence among postmenopausal women (RR: 1.20; 95% CI: 1.09, 1.31). In contrast, hypertension was not associated with risk of breast cancer among premenopausal women (RR: 0.97; 95% CI: 0.84, 1.12) and Asian population (RR: 1.07; 95% CI: 0.94, 1.22).This meta-analysis collectively suggests a significantly association between hypertension and breast cancer risk, specifically for postmenopausal hypertensive women.

Effects of exercise training on circulating levels of Dickkpof-1 and secreted frizzled-related protein-1 in breast cancer survivors: A pilot single-blind randomized controlled trial

BACKGROUND

Wingless and integration site growth factor (Wnt) signaling is a tumorigenesis-related signaling pathway. Dickkpof-1 (DKK1) and secreted frizzled-related protein-1 (SFRP1) are endogenous negative regulators of Wnt/β-catenin signaling. Accumulating evidence indicates that higher serum levels of DKK1 are correlated with poor prognosis of various types of cancer. Here, we investigated whether exercise training causes changes in the serum levels of DKK1 and SFRP1 in patients with breast cancer.

METHODS

Twenty-four breast cancer survivors, after chemo- or radiotherapy, participated in this single-blind randomized, controlled pilot study. Subjects were randomized to either an exercise program or a control group for 12 weeks and completed pre- and post-training tests for health-related fitness and body composition as well as blood biomarkers. The serum levels of DKK1 and SFRP1 were measured using enzyme-linked immunosorbent assay as the primary outcome.

RESULTS

Exercise training for 12 weeks remarkably increased muscle strength, endurance, and flexibility and decreased body fat percentage, waist circumference, and visceral fat area (all p < 0.05). Exercise training lowered serum insulin levels and leptin/adiponectin ratios (all p < 0.05). The levels of DKK1 and SFRP1 were also significantly decreased by exercise training in breast cancer survivors (all p < 0.01).

CONCLUSIONS

Our results indicate that DKK1 and SFRP1 may be potentially useful biomarkers for evaluating the beneficial effects of long-term exercise on physical fitness and metabolism as well as the prognosis of patients with cancer.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02895178.