Relationship between level of HbA1C and breast cancer

Jousheghany, Fariba; Phelps, Josh; Crook, Tina; Hakkak, Reza

doi:10.1016/j.bbacli.2016.04.005

Cited by 11 publications

(8 citation statements)

References 18 publications

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“…This finding aligns with our observation that with each unit increase in HbA1c there was 1.6 times greater odds of cancer death (95% CI: 1.14 - 2.23). Additional studies have also reported that the increased mortality associated with poorly managed diabetes has been particularly appreciated in specific malignancies, such as colorectal cancer and breast cancer [ 53 , 54 ]. The exact relationship between diabetes and cancer mortality remains to be fully understood, but uncontrolled diabetes may have a direct effect on tumorigenesis, and indirect effects, such as influence of diabetes in medical decision making [ 53 , 54 ].…”

Section: Discussionmentioning

confidence: 99%

Association Between Obesity and Cancer Mortality: An Internal Medicine Outpatient Clinic Perspective

et al. 2021

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Background: Obesity is one of the leading preventable causes of cancer that has a causal relationship with cancers of esophagus, breast and colon. Paradoxically, there are studies demonstrating that obesity is associated with improved survival in cancer patients. The aim of our study was to investigate the association of obesity and cancer mortality in adult patients.Methods: Retrospective medical record review of 784 adult patients was performed who had a diagnosis of cancer and who were seen in

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Section: Discussionmentioning

confidence: 99%

Association Between Obesity and Cancer Mortality: An Internal Medicine Outpatient Clinic Perspective

et al. 2021

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“…These findings are consistent with multiple other studies. 8,39,40 Among patients with solid cancers, prediabetic patients were found to be older in age and had a higher BMI compared to non-diabetic patients. 41 It is well-known that obesity affects survival and mortality of breast cancer patients.…”

Section: Discussionmentioning

confidence: 99%

“…42,43 Obesity is associated with advanced clinicopathologic presentation of breast cancer and higher rates of disease recurrence and reduced overall survival. 39,44,45 The impact of obesity on risk for breast cancer has been shown to be affected by menopausal status in which obese postmenopausal women showed consistent increase of breast cancer risk compared to premenopausal patients. 46,47 The relationship between premenopausal obesity and breast cancer risk remains inconclusive.…”

Section: Discussionmentioning

confidence: 99%

“…Several studies demonstrated a lack of association between HbA1c levels and presentation of breast cancer patients. 39,54,55 Bronsveld et al revealed a lack of association between HbA1c levels and tumor clinicopathologic characteristics including molecular subtypes among diabetic postmenopausal breast cancer patients compared to the non-diabetic. 54 Similarly, Karlin et al reported no significant differences in breast cancer grade, stage, and receptor positivity between diabetic and non-diabetic patients.…”

Section: Discussionmentioning

confidence: 99%

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<p>Glycosylated Hemoglobin A1c Is Associated with Anthropometric Measurements and Tumor Characteristics in Breast Cancer Patients</p>

Ayoub

Jaradat

Alhusban

et al. 2020

IJWH

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Purpose: To investigate the association between glycosylated hemoglobin A1c (HbA1c) with anthropometric measurements and clinicopathologic characteristics of breast cancer patients. Such data are lacking in Arabian countries. Patients and Methods: A cross-sectional study was conducted at the Outpatient Oncology Unit at King Hussein Medical Center at the Royal Medical Services (RMS) and 223 breast cancer patients were included. Blood levels of HbA1c were measured and patients were classified into normal/non-diabetic (HbA1c <5.7%), prediabetic (HbA1c 5.7-6.4%), and diabetic (HbA1c ≥6.5%). Results: The average age of patients was 49.9±10.3 years. Most patients had waist circumference equal to or more than 80 cm (91.9%) and more than half (55.2%) had waist-hip ratio equal to or more than 0.85. Mean body mass index (BMI) was 29.9±5.7 kg/m 2. The mean level of HbA1c was 6.2±1.4% (range 4.7% to 12.6%). HbA1c levels revealed that most patients in this study classified as prediabetics (44.4%). There was a significant positive correlation between HbA1c levels and each of patient's age (r=0.267, p<0.001), waist circumference (r=0.180, p=0.008), and waist-hip ratio (r=0.278, p<0.001). Compared with premenopausal breast cancer patients, postmenopausal patients had significantly higher HbA1c blood levels (t=-3.542, p=0.003). HbA1c was significantly associated with stage (p=0.044) and grade (p=0.016) of carcinoma in premenopausal breast cancer patients. Among postmenopausal cases, HbA1c was significantly associated with molecular subtype of the disease (p=0.039). Conclusion: The majority of Jordanian breast cancer patients in this study are prediabetic, obese, and had visceral obesity. HbA1c levels are increased among older patients and those who have greater waist circumference and waist-hip ratio. HbA1c is associated with advanced stage and grade of breast carcinoma in premenopausal patients and with molecular subtype in postmenopausal cases. These findings urge the need to screen breast cancer patients for glycemic status upon disease presentation and to further consider treatments to control hyperglycemia in order to reduce the impact of metabolic derangements on disease prognosis and outcomes.

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“…Obesity, owing to its complex multifactorial disease nature is not only challenging the molecular scientists to decode its molecular basis but also the clinicians who are involved in treating, preventing and disease management. Approximately 30% of the world population is either overweight or obese [1]. So far, the specific molecular and cellular mechanisms through which environmental factors increase the risk of developing obesity in genetically susceptible individuals still remains to be a mystery.…”

Section: Introductionmentioning

confidence: 99%

Unraveling the role of salt-sensitivity genes in obesity with integrated network biology and co-expression analysis

et al. 2020

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Obesity is a multifactorial disease caused by complex interactions between genes and dietary factors. Salt-rich diet is related to the development and progression of several chronic diseases including obesity. However, the molecular basis of how salt sensitivity genes (SSG) contribute to adiposity in obesity patients remains unexplored. In this study, we used the microarray expression data of visceral adipose tissue samples and constructed a complex protein-interaction network of salt sensitivity genes and their co-expressed genes to trace the molecular pathways connected to obesity. The Salt Sensitivity Protein Interaction Network (SS PIN) of 2691 differentially expressed genes and their 15474 interactions has shown that adipose tissues are enriched with the expression of 23 SSGs, 16 hubs and 84 bottlenecks (p = 2.52 x 10-16) involved in diverse molecular pathways connected to adiposity. Fifteen of these 23 SSGs along with 8 other SSGs showed a co-expression with enriched obesity-related genes (r � 0.8). These SSGs and their co-expression partners are involved in diverse metabolic pathways including adipogenesis, adipocytokine signaling pathway, renin-angiotensin system, etc. This study concludes that SSGs could act as molecular signatures for tracing the basis of adipogenesis among obese patients. Integrated network centered methods may accelerate the identification of new molecular targets from the complex obesity genomics data.

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Relationship between level of HbA1C and breast cancer

Cited by 11 publications

References 18 publications

Association Between Obesity and Cancer Mortality: An Internal Medicine Outpatient Clinic Perspective

Association Between Obesity and Cancer Mortality: An Internal Medicine Outpatient Clinic Perspective

<p>Glycosylated Hemoglobin A1c Is Associated with Anthropometric Measurements and Tumor Characteristics in Breast Cancer Patients</p>

Unraveling the role of salt-sensitivity genes in obesity with integrated network biology and co-expression analysis

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