Correlation of BMI with breast cancer subtype and tumour size

Babu, K Govind; Anand, Abhishek; Lakshmaiah, K C; Dasappa, Lokanatha; Jacob, Linu Abraham; Babu, M C Suresh; Lokesh, K.; Rudresha, Haleshappa A; Rajeev, L K; Smitha, S.; Giri, G.V.; Chethan, R.; Koppaka, Deepak; Panwar, Dipti; Kumar, Rekha V.

doi:10.3332/ecancer.2018.845

Cited by 14 publications

(16 citation statements)

References 35 publications

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“…The rare of our findings were PR and HER-2 inversely significantly correlated with BMI. The Babu (2018) and Kawai (2014) found similar findings; in both research pieces, there were variations in the correlation of BMI with the subtype of breast cancer 16,17 .…”

Section: Discussionmentioning

confidence: 69%

Mammographic density and its association with molecular subtype of breast cancer.

Jabeen¹,

Rasheed²,

Imran³

et al. 2020

Int. j. endorsing health sci. res.

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Background: Breast cancer is the leading cause of death in women globally. The present study aimed to determine the prevalence of different mammographic density of breast parenchyma along with the association with the molecular subtype of breast cancer. Methodology: The present cross-sectional study was conducted among breast cancer females age 40 and above. The study participants' demographic and clinical data, such as age, sex, menstrual status, gravida, parity, and lactation, were collected using a standard questionnaire. The anthropometric parameters were taken by using the standard techniques. Breast physical examination, mammography, and ultrasound were done. The ultrasound did the breast tumor biopsy -guided techniques and histopathology, and immunohistochemistry was used to identify the molecular subtype of breast cancer. The univariate and multivariate statistic was performed on SPSS version 20.0. Results: Most of the patients<50 years were human epidermal growth factor receptor (HER2), estrogen receptor (ER), progesterone receptor (PR) positive, and are overweight too. Similar findings were noted among lactating and multigravida patients. The Grade I tumor and dense breast patients were 100% with HER2 negative and ER, PR positive. Most heterogeneous dense and fibroglandular containing breast patients were ER, PR positive. There is a significant correlation between BMI, microcalcification, and HER2 positive. Most of the triple Negative and Luminal-B were heterogeneous dense. Conclusion: In conclusion, a significant association between the mammographic density parameters and molecular breast cancer subtype, particularly Luminal-A and luminal B, was seen. The ER, PR, and HER-2 have a positive correlation with the physical radiographical and mammodensity parameters.

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Section: Discussionmentioning

confidence: 69%

Mammographic density and its association with molecular subtype of breast cancer.

Jabeen¹,

Rasheed²,

Imran³

et al. 2020

Int. j. endorsing health sci. res.

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“…12 Studies in Asia demonstrated that a higher BMI (≥25 kg/m 2 ) was associated with elevated risk of luminal and triple-negative subtypes, followed by triple-negative and lowest for HER2 at the time of diagnosis. 12,13 Specifically, BMI was significantly positively associated with increased risk of breast cancer for women with Luminal A tumour subtype. 14 Overweight and obesity may affect breast cancer by various mechanisms, including increasing oestrogen synthesis, generating insulin resistance, decreasing the synthesis of sex hormone-binding globulin (SHBG) and promoting systemic inflammation.…”

Section: Discussionmentioning

confidence: 96%

Breast cancer subtypes in Australian Chinese women

Hong

Chua

Cheng

et al. 2020

ANZ Journal of Surgery

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Background: It has been suggested that Chinese patients with breast cancer present at a younger age compared to the general Australian population, with tumour pathological characteristics that carry less favourable outcomes. This study was aimed to investigate if a substantial difference in breast cancer subtypes exists between the Australian Chinese population and the general Australian population. Methods: All patients with breast cancer treated by two of the authors (consultant breast surgeons) at Eastern Health, Victoria between 2010 and 2016 were identified through the BreastSurgANZ Quality Audit database. Australian Chinese patients were further identified through outpatient records and registration information. Medical histories were examined to obtain patient demographics, tumour characteristics and outcome. Patient and tumour characteristics between the Australian Chinese population were then compared to the general Australian population. Results: A total of 97 Australian Chinese patients with breast cancer were identified out of 582 patients. Mean age at diagnosis was 56.7 years, approximately 6 years younger than the general Australian population. There was a statistically significant difference in incidence of Luminal A tumours with 25 patients (25.77%) from the Chinese group affected compared to 310 patients (63.92%) from the general group (P < 0.001). There was no significant difference in proportions of the other tumour subtypes between the two groups. Conclusion: Australian Chinese breast cancer patients present at a younger age compared to the general Australian population, with a smaller proportion of patients having Luminal A tumours.

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“…This is a weakness inherent in the use of publicly available data that we readily acknowledge but is beyond the scope of this report. While our study did not address individual subtypes of TNBC, a previous epidemiologic study [ 49 ] has reported the correlation between BMI and breast cancer subtypes, suggesting that further investigation in this line of research may be warranted. However, such a study would require a much larger sample size, which was the rate limiting factor in this investigation.…”

Section: Discussionmentioning

confidence: 96%

Whole Genome Transcriptome Analysis of the Association between Obesity and Triple-Negative Breast Cancer in Caucasian Women

Mamidi

Tchounwou

et al. 2018

IJERPH

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Background: Triple-negative breast cancer (TNBC) is the most aggressive form of breast cancer, with poor outcomes. The molecular basis of TNBC remains poorly understood. The objective of this exploratory study was to investigate the association between obesity and TNBC in premenopausal and postmenopausal Caucasian women using transcription profiling. Methods: We compared gene expression levels of tumor samples drawn from normal weight, overweight, and obese pre and postmenopausal women diagnosed with TNBC. We performed hierarchical clustering to assess similarity in patterns of gene expression profiles, and conducted network and pathway analysis to identify molecular networks and biological pathways. Results: We discovered gene signatures distinguishing normal weight from obese, normal weight from overweight, and overweight from obese individuals in both premenopausal and postmenopausal women. The analysis revealed molecular networks and biological pathways associating obesity with TNBC. The discovered pathways included the unfolded protein response, endoplasmic reticulum stress, B cell receptor, and autophagy signaling pathways in obese premenopausal women; and the integrin, axonal guidance, ERK/MAPK (extracellular-signal-regulated kinase/mitogen activated protein kinase) and glutathione biosynthesis signaling pathways in obese postmenopausal women. Conclusions: The results suggest that both overweight and obese status are associated with TNBC, highlighting the need for conformation of these results in independent studies.

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Correlation of BMI with breast cancer subtype and tumour size

Cited by 14 publications

References 35 publications

Mammographic density and its association with molecular subtype of breast cancer.

Mammographic density and its association with molecular subtype of breast cancer.

Breast cancer subtypes in Australian Chinese women

Whole Genome Transcriptome Analysis of the Association between Obesity and Triple-Negative Breast Cancer in Caucasian Women

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