Body mass index, diabetes, and triple-negative breast cancer prognosis

Tait, Sarah; Pacheco, Jose M.; Gao, Feng; Bumb, Caroline; Ellis, Matthew J.; Cynthia, X.

doi:10.1007/s10549-014-3002-y

Cited by 40 publications

(49 citation statements)

References 33 publications

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“…All of the included articles were published from 2001 to 2016. Of the 17 articles, 3 studies [26,28,32] had a prospective cohort design, 10 studies [17–23,27,29,30] had a retrospective cohort design, and 4 studies [24,25,31,33] had a case–control design. The total number of breast cancer patients was 48,315, with study populations ranging from 378 to 6342 in the individual articles.…”

Section: Resultsmentioning

confidence: 99%

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Diabetes mellitus and prognosis in women with breast cancer

Zhao

Ren

2016

Medicine

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Background:Diabetes mellitus is associated with an increased risk of breast cancer, but studies of the effects of diabetes on the prognosis of women with breast cancer have yielded inconsistent findings. The present meta-analysis aimed to investigate the impact of preexisting diabetes on the prognosis in terms of overall survival (OS), disease-free survival (DFS), and relapse-free period (RFP) in women with breast cancer.Methods:We searched the Embase and PubMed databases until June 2016 for cohort or case–control studies assessing the impact of diabetes on the prognosis of women with breast cancer. The pooled multivariate adjusted hazard ratio (HR) and their 95% confidence intervals (CIs) for OS, DFS, and RFP were used to analyze the impact of diabetes on the prognosis of breast cancer patients.Results:Seventeen studies involving 48,315 women with breast cancer met our predefined inclusion criteria. Meta-analysis showed that the pooled adjusted HR was 1.51 (95% CI 1.34–1.70) for OS and 1.28 (95% CI 1.09–1.50) for DFS in breast cancer patients with diabetes compared to those without diabetes. However, RFP did not differ significantly between patients with and without diabetes (HR 1.42; 95% CI 0.90–2.23).Conclusions:The present meta-analysis suggests that preexisting diabetes is independently associated with poor OS and DFS in female breast cancer patients. However, the impact of diabetes on RFP should be further verified. More prospective studies are warranted to investigate whether appropriate glycemic control with modification of antihyperglycemic agents can improve the prognosis of female breast cancer patients with diabetes.

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Section: Resultsmentioning

confidence: 99%

“…Fifteen studies [17–22,24–28,30–33] reported the effect of diabetes on the OS in female breast cancer patients. The study by Hou et al [25] provided risk estimate of OS with metformin or without metformin treatment; we therefore pooled the risk estimate, separately.…”

Section: Resultsmentioning

confidence: 99%

Diabetes mellitus and prognosis in women with breast cancer

Zhao

Ren

2016

Medicine

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“…Our findings also revealed that high BMI breast cancer was more likely to be ER/PR-positive compared with the low BMI group. However, some studies have suggested that overweight breast cancer patients are more likely to be associated with ER-negativity, TNBC, or histological grade III [14, 15]. A recent study showed that overweight (BMI > 24 kg/m 2 ) women with TNBC have a shorter OS [16].…”

Section: Discussionmentioning

confidence: 99%

Body Mass Index at Diagnosis as a Prognostic Factor for Early-Stage Invasive Breast Cancer after Surgical Resection

et al. 2019

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Background: The aim of this study was to investigate the association between body mass index (BMI) and prognosis of Chinese women with breast cancer. Patients and Methods: 3,380 primary breast cancer patients who underwent surgery from 2010 to 2012 were selected and classified as low BMI group (BMI < 25.0) and high BMI group (BMI ≥ 25.0). The follow-up data for disease-free survival (DFS) and overall survival (OS) were obtained from 3,178 patients (median follow-up of 58 months). Cox regression analysis was used to evaluate the effect of BMI on DFS and OS. Results: The high BMI group showed more aggressive pathological features. BMI was negatively associated with OS (hazard ratio (HR) 1.33, 95% confidence interval (CI) 1.06–1.66; p = 0.012) but not DFS (HR 1.15, 95% CI 0.94–1.40; p = 0.17). Furthermore, when stratified by age, BMI was significantly and negatively associated with OS (HR 1.43, 95% CI 1.05–1.95; p = 0.025) in patients above 50 years of age, but this effect was not detected in younger patients. Conclusion: BMI was an independent prognostic factor of OS in Chinese women with breast cancer, and age might be a mitigating factor. Among patients above 50 years of age, those with a high BMI were at greater risk of poor prognosis compared to individuals with a low BMI.

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“…Obesity is associated with increased risk of breast cancer recurrence and mortality in both pre and postmenopausal women (83,84). Multiple studies have demonstrated that this association may be stronger in women with hormone receptor-positive tumors (85)(86)(87).…”

Section: Cancermentioning

confidence: 99%

Morbidity and mortality associated with obesity

Abdelaal

Roux

Docherty

2017

Annals of Translational Medicine

773

459

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Obesity and its repercussions constitute an important source of morbidity, impaired quality of life and its complications can have a major bearing on life expectancy. The present article summarizes the most important co-morbidities of obesity and their prevalence. Furthermore, it describes classification and grading systems that can be used to assess the individual and combined impact of co-morbid conditions on mortality risk. The literature was screened for assessment tools that can be deployed in the quantification of morbidity and mortality risk in individual patients. Thirteen specific domains have been identified that account for morbidity and mortality in obesity. Cardiovascular disease (CVD) and cancer account for the greatest mortality risk associated with obesity. The King's Criteria and Edmonton Obesity Staging System (EOSS) were identified as useful tools for the detection and monitoring of individual patient mortality risk in obesity care. The stark facts on the complications of obesity should be capitalized on to improve patient management and knowledge and referred to in the wider dissemination of public health messages aimed at improving primary prevention.

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Body mass index, diabetes, and triple-negative breast cancer prognosis

Cited by 40 publications

References 33 publications

Diabetes mellitus and prognosis in women with breast cancer

Diabetes mellitus and prognosis in women with breast cancer

Body Mass Index at Diagnosis as a Prognostic Factor for Early-Stage Invasive Breast Cancer after Surgical Resection

Morbidity and mortality associated with obesity

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