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Zipinotti Dos Santos D, de Souza JC, Pimenta TM, da Silva Martins B, Junior RSR, Butzene SMS, Tessarolo NG, Cilas PML, Silva IV, Rangel LBA. The impact of lipid metabolism on breast cancer: a review about its role in tumorigenesis and immune escape. Cell Commun Signal 2023; 21:161. [PMID: 37370164 PMCID: PMC10304265 DOI: 10.1186/s12964-023-01178-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 05/26/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND Breast cancer (BC) is the second most frequent type of cancer in the world and most common among women, configuring a major challenge to global health. BC is a complex and heterogeneous disease that can be subdivided into distinct tumor types based on the expression of molecular markers predicting patient outcomes and response to therapy. A growing number of studies have tried to expand the known markers by investigating the association of altered lipid metabolism with BC immune escape, progression, and metastasis. In this review, we describe the metabolic peculiarities of each BC subtype, understanding how this influences its aggressiveness and identifying whether these intrinsic vulnerabilities of each subtype can play a role in therapeutic management and may affect immune system cells in the tumor microenvironment. CONCLUSION The evidence suggests so far that when changes occur in lipid pathways, it can affect the availability of structural lipids for membrane synthesis, lipid synthesis, and degradation that contribute to energy homeostasis and cell signaling functions. These findings will guide the next steps on the path to understanding the mechanisms underlying how lipids alterations are related to disparities in chemotherapeutic response and immune escape in BC. Video Abstract.
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Affiliation(s)
- Diandra Zipinotti Dos Santos
- Biotechnology Program/RENORBIO, Health Sciences Center, Federal University of Espírito Santo, Vitoria (Espírito Santo), Brazil.
| | - Josiany Carlos de Souza
- Biotechnology Program/RENORBIO, Health Sciences Center, Federal University of Espírito Santo, Vitoria (Espírito Santo), Brazil
| | - Tatiana Massariol Pimenta
- Department of Pharmaceutical Sciences, Federal University of Espirito Santo, Marechal Campos Avenue, MaruípeEspírito Santo, Vitória, 1468, Brazil
| | - Bárbara da Silva Martins
- Department of Pharmaceutical Sciences, Federal University of Espirito Santo, Marechal Campos Avenue, MaruípeEspírito Santo, Vitória, 1468, Brazil
| | - Roberto Silva Ribeiro Junior
- Department of Pharmaceutical Sciences, Federal University of Espirito Santo, Marechal Campos Avenue, MaruípeEspírito Santo, Vitória, 1468, Brazil
| | - Solenny Maria Silva Butzene
- Department of Pharmaceutical Sciences, Federal University of Espirito Santo, Marechal Campos Avenue, MaruípeEspírito Santo, Vitória, 1468, Brazil
| | - Nayara Gusmão Tessarolo
- Viral Vector Laboratory, Center for Translational Investigation in Oncology, Cancer Institute of São Paulo/LIM24, University of São Paulo School of Medicine, São Paulo, (São Paulo), Brazil
| | | | - Ian Victor Silva
- Department of Morphology, Health Sciences Center, Federal University of Espirito Santo, Vitoria, Espirito Santo, Brazil
| | - Leticia B A Rangel
- Biotechnology Program/RENORBIO, Health Sciences Center, Federal University of Espírito Santo, Vitoria (Espírito Santo), Brazil.
- Department of Pharmaceutical Sciences, Federal University of Espirito Santo, Marechal Campos Avenue, MaruípeEspírito Santo, Vitória, 1468, Brazil.
- Biochemistry Program, Health Sciences Center, Federal University of Espirito Santo, Vitoria, Brazil.
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Liu L, Zhai W, Wang F, Yu L, Zhou F, Xiang Y, Huang S, Zheng C, Yuan Z, He Y, Yu Z, Ji J. Using machine learning to identify gene interaction networks associated with breast cancer. BMC Cancer 2022; 22:1070. [PMID: 36253742 PMCID: PMC9575346 DOI: 10.1186/s12885-022-10170-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 10/10/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Breast cancer (BC) is one of the most prevalent cancers worldwide but its etiology remains unclear. Obesity is recognized as a risk factor for BC, and many obesity-related genes may be involved in its occurrence and development. Research assessing the complex genetic mechanisms of BC should not only consider the effect of a single gene on the disease, but also focus on the interaction between genes. This study sought to construct a gene interaction network to identify potential pathogenic BC genes. METHODS The study included 953 BC patients and 963 control individuals. Chi-square analysis was used to assess the correlation between demographic characteristics and BC. The joint density-based non-parametric differential interaction network analysis and classification (JDINAC) was used to build a BC gene interaction network using single nucleotide polymorphisms (SNP). The odds ratio (OR) and 95% confidence interval (95% CI) of hub gene SNPs were evaluated using a logistic regression model. To assess reliability, the hub genes were quantified by edgeR program using BC RNA-seq data from The Cancer Genome Atlas (TCGA) and identical edges were verified by logistic regression using UK Biobank datasets. Go and KEGG enrichment analysis were used to explore the biological functions of interactive genes. RESULTS Body mass index (BMI) and menopause are important risk factors for BC. After adjusting for potential confounding factors, the BC gene interaction network was identified using JDINAC. LEP, LEPR, XRCC6, and RETN were identified as hub genes and both hub genes and edges were verified. LEPR genetic polymorphisms (rs1137101 and rs4655555) were also significantly associated with BC. Enrichment analysis showed that the identified genes were mainly involved in energy regulation and fat-related signaling pathways. CONCLUSION We explored the interaction network of genes derived from SNP data in BC progression. Gene interaction networks provide new insight into the underlying mechanisms of BC.
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Affiliation(s)
- Liyuan Liu
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, China.,School of Mathematics, Shandong University, Jinan, 250100, China
| | - Wenli Zhai
- Institute for Financial Studies, Shandong University, Jinan, 250100, China
| | - Fei Wang
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, China.,Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, 250100, China
| | - Lixiang Yu
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, China.,Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, 250100, China
| | - Fei Zhou
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, China.,Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, 250100, China
| | - Yujuan Xiang
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, China.,Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, 250100, China
| | - Shuya Huang
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, China.,Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, 250100, China
| | - Chao Zheng
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, China.,Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, 250100, China
| | - Zhongshang Yuan
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Yong He
- Institute for Financial Studies, Shandong University, Jinan, 250100, China
| | - Zhigang Yu
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, China. .,Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, 250100, China.
| | - Jiadong Ji
- Institute for Financial Studies, Shandong University, Jinan, 250100, China.
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Naaman SC, Shen S, Zeytinoglu M, Iyengar NM. Obesity and Breast Cancer Risk: The Oncogenic Implications of Metabolic Dysregulation. J Clin Endocrinol Metab 2022; 107:2154-2166. [PMID: 35453151 PMCID: PMC9282365 DOI: 10.1210/clinem/dgac241] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Indexed: 12/18/2022]
Abstract
CONTEXT Breast cancer is increasing in prevalence in parallel with rising rates of obesity worldwide. Obesity is recognized as a leading modifiable risk factor for the development of breast cancer; however, this association varies considerably by clinicopathologic features, and the underlying mechanisms are complex. EVIDENCE ACQUISITION Pubmed literature search using combinations of "obesity," "breast cancer risk," "diet," "exercise," "weight gain," "weight loss," "adipose tissue inflammation," "crown-like structure," "immune markers," "metformin," "gliflozins," "SGLT-2i," "GLP1-RA," and related terms. EVIDENCE SYNTHESIS Elevated body mass index and weight gain are associated with increased risk of postmenopausal, hormone receptor-positive breast cancer. Emerging evidence suggests that adverse measures of body composition in individuals of any weight can also confer increased breast cancer risk. Mechanistically, various factors including altered adipokine balance, dysfunctional adipose tissue, dysregulated insulin signaling, and chronic inflammation contribute to tumorigenesis. Weight loss and more specifically fat mass loss through lifestyle and pharmacologic interventions improve serum metabolic and inflammatory markers, sex hormone levels, and measures of breast density, suggesting a link to decreased breast cancer risk. CONCLUSION Incorporating markers of metabolic health and body composition measures with body mass index can capture breast cancer risk more comprehensively. Further studies of interventions targeting body fat levels are needed to curb the growing prevalence of obesity-related cancer.
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Affiliation(s)
| | | | | | - Neil M Iyengar
- Correspondence: Neil Iyengar, MD, Associate Attending, Department of Medicine, Memorial Sloan Kettering Cancer Center, Evelyn H. Lauder Breast Center, 300 East 66th Street | New York, NY 10065, USA.
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Kashyap D, Pal D, Sharma R, Garg VK, Goel N, Koundal D, Zaguia A, Koundal S, Belay A. Global Increase in Breast Cancer Incidence: Risk Factors and Preventive Measures. BIOMED RESEARCH INTERNATIONAL 2022; 2022:9605439. [PMID: 35480139 PMCID: PMC9038417 DOI: 10.1155/2022/9605439] [Citation(s) in RCA: 150] [Impact Index Per Article: 75.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/25/2022] [Accepted: 03/21/2022] [Indexed: 02/07/2023]
Abstract
Breast cancer is a global cause for concern owing to its high incidence around the world. The alarming increase in breast cancer cases emphasizes the management of disease at multiple levels. The management should start from the beginning that includes stringent cancer screening or cancer registry to effective diagnostic and treatment strategies. Breast cancer is highly heterogeneous at morphology as well as molecular levels and needs different therapeutic regimens based on the molecular subtype. Breast cancer patients with respective subtype have different clinical outcome prognoses. Breast cancer heterogeneity emphasizes the advanced molecular testing that will help on-time diagnosis and improved survival. Emerging fields such as liquid biopsy and artificial intelligence would help to under the complexity of breast cancer disease and decide the therapeutic regimen that helps in breast cancer management. In this review, we have discussed various risk factors and advanced technology available for breast cancer diagnosis to combat the worst breast cancer status and areas that need to be focused for the better management of breast cancer.
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Affiliation(s)
- Dharambir Kashyap
- Department of Histopathology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India
| | - Deeksha Pal
- Department of Translational and Regenerative Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India
| | - Riya Sharma
- Department of Pulmonary Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India
| | - Vivek Kumar Garg
- Department of Medical Laboratory Technology, University Institute of Applied Health Sciences, Chandigarh University (Gharuan), Mohali 140313, India
| | - Neelam Goel
- Department of Information Technology, University Institute of Engineering & Technology, Panjab University, Chandigarh 160014, India
| | - Deepika Koundal
- Department of Systemics, School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India
| | - Atef Zaguia
- Department of computer science, College of Computers and Information Technology, Taif University, P.O. BOX 11099, Taif 21944, Saudi Arabia
| | - Shubham Koundal
- Department of Medical Laboratory Technology, University Institute of Applied Health Sciences, Chandigarh University (Gharuan), Mohali 140313, India
| | - Assaye Belay
- Department of Statistics, Mizan-Tepi University, Ethiopia
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Mubarik S, Sharma R, Hussain SR, Iqbal M, Nawsherwan, Liu X, Yu C. Breast Cancer Mortality Trends and Predictions to 2030 and Its Attributable Risk Factors in East and South Asian Countries. Front Nutr 2022; 9:847920. [PMID: 35360680 PMCID: PMC8964109 DOI: 10.3389/fnut.2022.847920] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 02/07/2022] [Indexed: 12/12/2022] Open
Abstract
Background Amidst the rising breast cancer burden in Asia, we aim to predict the future mortality risk due to breast cancer and identify the risk-attributable deaths for breast cancer among East and South Asian countries. Methods We used country-level data to predict the trends in the next decade relating to female breast cancer mortality by employing data from 1990 to 2019 from the Global Burden of Disease 2019 study. We used the stochastic mortality modeling and prediction techniques to forecast the age-specific and risk-attributable breast cancer mortality trends at the regional and national levels of East and South Asia. Results The number of deaths caused by the breast cancer is predicted to increase in East and South Asian countries in the next decade (2020–2030). Age-standardized death rate (ASDR) of breast cancer is predicted to increase by 7.0% from 9.20/100,000 (95% CI: 6.04–12.12) in 1990 to 9.88/100,000 (95% CI: 7.12–11.4) in 2030 in East Asia, and about 35% increase from 13.4/100,000 (95% CI: 9.21–16.02) in 1990 to 18.1/100,000 (95% CI: 13.23–21.10) in 2030 in South Asia. At the national level, the highest percent change in ASDR between 1990 and 2030 was reported in Pakistan (a 62% increase) and Nepal (a 47% increase). The highest percent change in breast cancer mortality between 2020 and 2030 for females of age group 80–84 years was observed in Pakistan [21.6, (95% CI, 20.6–94.7)], followed by Afghanistan [13.3 (4.0–80.8)], and Nepal [36.6 (11.1–125.7)] as compared to the other countries. In the females of aged 50–80 years, the predicted death rates were associated with high body mass index, high-fasting plasma glucose, and diet high in red meat, across the majority of countries under study. Furthermore, reductions in percent change in mortality rates occurred in several countries with increases in sociodemographic index (SDI), notably across high SDI countries. Conclusion Breast cancer mortality risk varies substantially across East and South Asian countries with higher mortality risk in low/middle SDI countries. Early detection using screening, awareness among females and health workers, and cost-effective and timely treatment of patients with breast cancer is vital in stemming the tide of breast cancer in the next decade.
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Could Self-Reported Body Sizes be An Alternative Tool for Assessing Breast Cancer Risk in Postmenopausal Women? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031809. [PMID: 35162831 PMCID: PMC8835323 DOI: 10.3390/ijerph19031809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/25/2022] [Accepted: 01/30/2022] [Indexed: 02/04/2023]
Abstract
Background: The use of self-reported body size as an alternative tool to estimate body weight for health risk assessment is not widely reported, especially in relation to breast cancer. Therefore, we examined the association between breast cancer and body-mass index (BMI) and the usefulness of pictograms. Methods: The case–control study was conducted among postmenopausal women from 2015 to 2019. The study involved 151 women with breast cancer and 67 control subjects. Data were collected by a self-reported detailed questionnaire. Results: An increased, 4.13-fold risk of breast cancer (OR = 4.13; 95% CI [1.69, 10.28]) was observed for women with BMI 25.0–29.9 kg/m2 compared to women with normal BMI (18.5–24.9 kg/m2), whereas the association in the case of obese women was not statistically significant. An increased risk of breast cancer was observed for pictogram scores 3–4 (OR = 8.95; 95% CI [3.22, 24.88]) and for the highest level of self-reported body size, pictograms ≥ 5 (OR = 3.20; 95% CI [1.13, 9.09]). Conclusions: The risk of breast cancer is associated with an increased BMI and visual overweigh and obesity. The results suggest that a self-reporting alternative tool can be used to assess the prevalence of overweight/obesity, particularly in situations where no other tools are available.
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Hu X, Cui C, Sun T, Wang W. Associations between ADIPOQ rs2241766 SNP and breast cancer risk: a systematic review and a meta-analysis. Genes Environ 2021; 43:48. [PMID: 34742352 PMCID: PMC8572453 DOI: 10.1186/s41021-021-00221-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 10/13/2021] [Indexed: 11/12/2022] Open
Abstract
Purpose We aimed to conduct a meta-analysis to accurately evaluate the potential association between ADIPOQ rs2241766 gene SNP and breast cancer risk. Methods A systematic literature search on Cochrane Library, PubMed, Embase, Web of Science and China National Knowledge Infrastructure (CNKI) identified 8 articles with 1692 cases and 1890 controls. Strength of association was evaluated by pooled odds ratio (OR), 95 % confidence interval (CI) and p value. Funnel plots and Begger’s regression test were applied for testing the publication bias. Statistical analysis of all data was performed by Stata 12.0. Results The meta-analysis results indicated that the ADIPOQ rs2241766 gene polymorphism did not significantly associated with the risk of breast cancer for these genetic models (TT vs. TG + GG: OR = 1.20, 95 % CI = 0.77–1.89, p=0.417; TT + TG vs. GG: OR = 1.05, 95 % CI = 0.71–1.56, p=0.805; T vs. G: OR =1.17, 95 % CI = 0.79–1.74, p=0.437). Conclusions This study indicated that no significant relationship between the ADIPOQ rs2241766 SNP and breast cancer. Further large-scale and well-designed studies will be indispensable to confirm our result.
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Affiliation(s)
- Xue Hu
- Department of Breast Surgery, China-Japan Union Hospital of Jilin University, 126 Xiantai Blvd, 130033, Changchun, China
| | - Chunguo Cui
- Department of Breast Surgery, China-Japan Union Hospital of Jilin University, 126 Xiantai Blvd, 130033, Changchun, China
| | - Tong Sun
- Department of Breast Surgery, China-Japan Union Hospital of Jilin University, 126 Xiantai Blvd, 130033, Changchun, China
| | - Wan Wang
- Department of Breast Surgery, China-Japan Union Hospital of Jilin University, 126 Xiantai Blvd, 130033, Changchun, China.
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Akinyemiju T, Jones K, Gupta A, Oyekunle T, Saraiya V, Deveaux A, Salako O, Hall A, Alatise O, Ogun G, Adeniyi A, Ayandipo O, Olajide T, Olasehinde O, Arowolo O, Adisa A, Afuwape O, Olusanya A, Adegoke A, Tollefsbol TO, Arnett D, Daramola A. Association of body composition with odds of breast cancer by molecular subtype: analysis of the Mechanisms for Established and Novel Risk Factors for Breast Cancer in Nigerian Women (MEND) study. BMC Cancer 2021; 21:1051. [PMID: 34563146 PMCID: PMC8464100 DOI: 10.1186/s12885-021-08775-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Accepted: 08/31/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND The association between obesity and breast cancer (BC) has been extensively studied among US, European and Asian study populations, with often conflicting evidence. However, despite the increasing prevalence of obesity and associated conditions in Africa, the continent with the highest age-standardized BC mortality rate globally, few studies have evaluated this association, and none has examined in relation to molecular subtypes among African women. The current analysis examines the association between body composition, defined by body mass index (BMI), height, and weight, and BC by molecular subtype among African women. METHODS We estimated odds ratios (ORs) and 95% confidence intervals (95% CI) for the association between measures of body composition and BC and molecular subtypes among 419 histologically confirmed cases of BC and 286 healthy controls from the Mechanisms for Established and Novel Risk Factors for Breast Cancer in Women of Nigerian Descent (MEND) case-control study. RESULTS Higher BMI (aOR: 0.79; 95% CI: 0.67, 0.95) and weight (aOR: 0.83; 95% CI: 0.69, 0.98) were associated with reduced odds of BC in adjusted models, while height was associated with non-statistically significant increased odds of BC (aOR: 1.07, 95% CI: 0.90, 1.28). In pre/peri-menopausal, but not post-menopausal women, both higher BMI and weight were significantly associated with reduced odds of BC. Further, higher BMI was associated with reduced odds of Luminal A, Luminal B, and HER2-enriched BC among pre/peri-menopausal women, and reduced odds of triple-negative BC among post-menopausal women. CONCLUSIONS Higher BMI and weight were associated with reduced odds of BC overall and by molecular subtype among West African women. Larger studies of women of African descent are needed to definitively characterize these associations and inform cancer prevention strategies.
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Affiliation(s)
- Tomi Akinyemiju
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA.
- Duke Cancer Institute, School of Medicine, Duke University, Durham, NC, USA.
- Duke Global Health Institute, Duke University, Durham, NC, USA.
| | - Kelley Jones
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA
| | - Anjali Gupta
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA
- Trinity College of Arts and Sciences, Duke University, Durham, NC, USA
| | - Taofik Oyekunle
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA
| | - Veeral Saraiya
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - April Deveaux
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC, USA
| | - Omolola Salako
- College of Medicine & Lagos University Teaching Hospital, University of Lagos, Lagos, Lagos State, Nigeria
| | - Allison Hall
- Department of Pathology, School of Medicine, Duke University, Durham, NC, USA
| | - Olusegun Alatise
- Obafemi Awolowo University Teaching Hospital, Ile-Ife, Osun State, Nigeria
| | - Gabriel Ogun
- University College Hospital, University of Ibadan, Ibadan, Oyo State, Nigeria
| | | | - Omobolaji Ayandipo
- University College Hospital, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Thomas Olajide
- College of Medicine & Lagos University Teaching Hospital, University of Lagos, Lagos, Lagos State, Nigeria
| | | | - Olukayode Arowolo
- Obafemi Awolowo University Teaching Hospital, Ile-Ife, Osun State, Nigeria
| | - Adewale Adisa
- Obafemi Awolowo University Teaching Hospital, Ile-Ife, Osun State, Nigeria
| | - Oludolapo Afuwape
- University College Hospital, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Aralola Olusanya
- University College Hospital, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Aderemi Adegoke
- Our Lady of Apostle Catholic Hospital, Ibadan, Oyo State, Nigeria
| | | | | | - Adetola Daramola
- College of Medicine & Lagos University Teaching Hospital, University of Lagos, Lagos, Lagos State, Nigeria
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Tapan TK, Iyigun ZE, Ilgun S, Ozmen V. Evaluation of the eating habits of breast cancer patients. Pak J Med Sci 2020; 36:1562-1566. [PMID: 33235575 PMCID: PMC7674883 DOI: 10.12669/pjms.36.7.2368] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Objective: To determine the relationship between the dietary characteristics of breast cancer patients. Methods: Patients with breast cancer whose treatments have finished and are in remission formed the study group and healthy people formed the control group. Demographic, anthropometric characteristics, food consumption frequency form and exercise status were recorded with all groups. Data analysis was done by SPSS 22. Results: In the study group, mean carbohydrate percentage was lower, while fat, fat percentage, monosaccharide, glucose, fructose, omega3(n3), saturated fatty acids(SFA), monounsaturated fatty acids (MUFA), vitamin A, C, E, B6, biotin and copper values were significantly higher (p<0.05). Recurrence was observed in seven patients (7.1%) during the follow-up period, hormone receptor levels (ER) and vitamin B2 intake (accuracy 93.9%) were inversely related to the recurrence of the disease (p=0.02). Conclusions: While the percentage of carbohydrate taken was lower in study group; total fat, n3, SFA, MUFA, monosaccharide, glucose, fructose, water-soluble fiber, B6, biotin and copper values were higher. Further studies are needed for vitamin B2 deficiency in patients with recurrence
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Affiliation(s)
- Tuba Kayan Tapan
- Dr. Tuba Kayan Tapan Nutrition and Dietetic, Faculty of Health Science, Demiroglu Bilim University, Istanbul, Turkey
| | - Zeynep Erdogan Iyigun
- Dr. Zeynep Erdogan Iyigun Physical therapy and rehabilitation, Faculty of Health Science, Demiroglu Bilim University, Istanbul, Turkey
| | - Serkan Ilgun
- Dr. Serkan Ilgun General Surgery Faculty of Medicine, Demiroglu Bilim University, Istanbul, Turkey
| | - Vahit Ozmen
- Dr. Vahit Ozmen General Surgery Faculty of Medicine Istanbul University, Istanbul, Turkey
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Price TR, Friedenreich CM, Robson PJ, Li H, Brenner DR. High-sensitivity C-reactive protein, hemoglobin A1c and breast cancer risk: a nested case-control study from Alberta's Tomorrow Project cohort. Cancer Causes Control 2020; 31:1057-1068. [PMID: 32959132 DOI: 10.1007/s10552-020-01329-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Accepted: 07/24/2020] [Indexed: 12/14/2022]
Abstract
PURPOSE Our aim is to examine the associations between high-sensitivity C-reactive protein (hsCRP) and hemoglobin A1c (HbA1c), common biomarkers of inflammation and insulin resistance, respectively, with breast cancer risk, while adjusting for measures of excess body size. METHODS We conducted a nested case-control study within the Alberta's Tomorrow Project cohort (Alberta, Canada) including 197 incident breast cancer cases and 394 matched controls. The sample population included both pre- and postmenopausal women. Serum concentrations of hsCRP and HbA1c were measured from blood samples collected at baseline, along with anthropometric measurements, general health and lifestyle data. Conditional logistic regression was used to evaluate associations between hsCRP, HbA1c, and breast cancer risk adjusted for excess body size (body fat percentage) and other risk factors for breast cancer. RESULTS Higher concentrations of hsCRP were associated with elevated breast cancer risk (odds ratio [OR] 1.27; 95% confidence interval [95% CI] 1.03-1.55). The observed associations were unchanged with adjustment for body fat percentage. Higher HbA1c concentrations were not significantly associated with an increased breast cancer risk (OR 1.22; 95% CI 0.17-8.75). CONCLUSION These data suggest that hsCRP may be associated with elevated breast cancer risk, independent of excess body size. However, elevated concentrations of HbA1c did not appear to increase breast cancer risk in apparently healthy women.
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Affiliation(s)
- Tiffany R Price
- Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - Christine M Friedenreich
- Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB, Canada
| | - Paula J Robson
- Cancer Research & Analytics, CancerControl Alberta, Alberta Health Services, Edmonton, AB, Canada
| | - Haocheng Li
- Department of Mathematics and Statistics, University of Calgary, Calgary, AB, Canada
| | - Darren R Brenner
- Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB, Canada.
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Harbeck N, Penault-Llorca F, Cortes J, Gnant M, Houssami N, Poortmans P, Ruddy K, Tsang J, Cardoso F. Breast cancer. Nat Rev Dis Primers 2019; 5:66. [PMID: 31548545 DOI: 10.1038/s41572-019-0111-2] [Citation(s) in RCA: 1404] [Impact Index Per Article: 280.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/22/2019] [Indexed: 12/24/2022]
Abstract
Breast cancer is the most frequent malignancy in women worldwide and is curable in ~70-80% of patients with early-stage, non-metastatic disease. Advanced breast cancer with distant organ metastases is considered incurable with currently available therapies. On the molecular level, breast cancer is a heterogeneous disease; molecular features include activation of human epidermal growth factor receptor 2 (HER2, encoded by ERBB2), activation of hormone receptors (oestrogen receptor and progesterone receptor) and/or BRCA mutations. Treatment strategies differ according to molecular subtype. Management of breast cancer is multidisciplinary; it includes locoregional (surgery and radiation therapy) and systemic therapy approaches. Systemic therapies include endocrine therapy for hormone receptor-positive disease, chemotherapy, anti-HER2 therapy for HER2-positive disease, bone stabilizing agents, poly(ADP-ribose) polymerase inhibitors for BRCA mutation carriers and, quite recently, immunotherapy. Future therapeutic concepts in breast cancer aim at individualization of therapy as well as at treatment de-escalation and escalation based on tumour biology and early therapy response. Next to further treatment innovations, equal worldwide access to therapeutic advances remains the global challenge in breast cancer care for the future.
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Affiliation(s)
- Nadia Harbeck
- LMU Munich, University Hospital, Department of Obstetrics and Gynecology, Breast Center and Comprehensive Cancer Center (CCLMU), Munich, Germany.
| | - Frédérique Penault-Llorca
- Department of Pathology and Biopathology, Jean Perrin Comprehensive Cancer Centre, UMR INSERM 1240, University Clermont Auvergne, Clermont-Ferrand, France
| | - Javier Cortes
- IOB Institute of Oncology, Quironsalud Group, Madrid and Barcelona, Spain.,Vall d´Hebron Institute of Oncology, Barcelona, Spain
| | - Michael Gnant
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Nehmat Houssami
- Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Philip Poortmans
- Department of Radiation Oncology, Institut Curie, Paris, France.,Université PSL, Paris, France
| | - Kathryn Ruddy
- Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | - Janice Tsang
- Hong Kong Breast Oncology Group, The University of Hong Kong, Hong Kong, China
| | - Fatima Cardoso
- Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal
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12
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Bonfiglio R, Milano F, Cranga A, De Caro MT, Kaur Lamsira H, Trivigno D, Urso S, Scimeca M, Bonanno E. Negative prognostic value of intra-ductal fat infiltrate in breast cancer. Pathol Res Pract 2019; 215:152634. [PMID: 31585815 DOI: 10.1016/j.prp.2019.152634] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Revised: 09/12/2019] [Accepted: 09/12/2019] [Indexed: 12/27/2022]
Abstract
BACKGROUND Recent studies showed a correlation between Body Mass Index and both breast cancer occurrence and progression. Nevertheless, no study reported an accurate evaluation of intra-ductal fat infiltrate. Therefore, the main aim of this study was to evaluate the putative association between intra-ductal fat infiltrate (IDFi) and breast cancer subtypes by using digital pathology. METHODS We retrospectively collected 220 breast biopsies. Paraffin serial sections were used for haematoxylin and eosin staining and immunohistochemical evaluation of the following markers: estrogen receptor (ER), progesterone receptor (PR), Ki67 and c-erb2. Three haematoxylin and eosin sections for each paraffin block were digitalized. Digital slides were used to evaluate the areas of IDFi. Five randomized areas were evaluated for each slide. By using GraphPad software IDFi areas was correlated with a) breast cancer histotype, b) presence of microcalcifications and c) biomarkers expression. RESULTS Breast biopsies were classified as follow: 20 normal breast, 50 benign lesions, and 150 malignant lesions (85 ductal in situ carcinomas; 65 ductal infiltrating carcinomas). Statistical analysis showed a significant increase of IDFi in malignant lesions as compared to both normal breast and benign lesions. We noted higher IDFi in breast ductal carcinomas as compared to lobular lesions. Significant differences were observed between breast lesions with microcalcifications respect to lesions without calcifications. Noteworthy, we also found a positive association between IDFi and the expression of both ER and Ki67. CONCLUSION Results of our study highlighted the possible role of fat in breast cancer progression suggesting a negative prognostic value of IDFi.
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Affiliation(s)
- Rita Bonfiglio
- Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Filippo Milano
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy
| | - Ana Cranga
- Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Maria Teresa De Caro
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy
| | | | - Donata Trivigno
- Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Stefania Urso
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy
| | - Manuel Scimeca
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy; Fondazione Umberto Veronesi (FUV), Piazza Velasca 5, 20122, Milano, Mi, Italy; San Raffaele University, Via di Val Cannuta 247, 00166, Rome, Italy; UniCamillus, Saint Camillus International University of Health Sciences, Rome, Italy.
| | - Elena Bonanno
- Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy; "Diagnostica Medica" and "Villa dei Platani", Avellino, Italy (Neuromed group), Italy
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13
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Bray JK, Chiu GS, McNeil LK, Moon ML, Wall R, Towers AE, Freund GG. Switching from a high-fat cellulose diet to a high-fat pectin diet reverses certain obesity-related morbidities. Nutr Metab (Lond) 2018; 15:55. [PMID: 30093912 PMCID: PMC6080522 DOI: 10.1186/s12986-018-0294-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 07/25/2018] [Indexed: 12/19/2022] Open
Abstract
Background Reducing caloric intake is a proven intervention for mitigating and modulating morbidities associated with overnutrition. Caloric restriction is difficult to affect clinically, therefore, dietary interventions that ameliorate the adverse consequences of overnutrition in the presence of a high-calorie diet would be of value. Methods Mice were fed an obesogenic diet containing 60% fat + 10% cellulose (HFC), or a control diet containing 10% fat + 10% cellulose (LFC) for 12 wks. Subgroups of mice were then switched from HFC to each of the following diets for an additional 5 wks: 1) 60% fat + 10% pectin (HFP), 2) LFC or 3) 10% fat + 10% pectin (LFP). To test for statistical differences, one-way or two-way ANOVAs were used with or without repeated measurements as needed. Results In comparison to HFC, HFP prevented additional weight gain while LFC and LFP triggered weight loss of 22.2 and 25.4%, respectively. Mice continued on HFC experienced a weight increase of 26% during the same 5 wk. interval. After 12 wks, HFC decreased mouse locomotion by 18% when compared to control diet, but a diet switch to LFC or LFP restored mouse movement. Importantly, HFP, LFC, and LFP reduced fasting blood glucose when compared to HFC. Likewise, HFP, LFC and LFP improved glucose tolerance and decreased fatty liver by 37.9, 49.8, 53.6 and 20.2%, 37.2, 43.7%, respectively. Conclusions Taken together, the results indicate that the dietary fiber pectin can mitigate some adverse consequences of overnutrition even in the presence of high-fat.
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Affiliation(s)
- Julie K Bray
- 1Department of Pathology, Program in Integrative Immunology and Behavior, University of Illinois, Urbana, IL USA
| | - Gabriel S Chiu
- 1Department of Pathology, Program in Integrative Immunology and Behavior, University of Illinois, Urbana, IL USA.,2Division of Nutritional Sciences, University of Illinois, Urbana, IL USA
| | - Leslie K McNeil
- 1Department of Pathology, Program in Integrative Immunology and Behavior, University of Illinois, Urbana, IL USA
| | - Morgan L Moon
- 1Department of Pathology, Program in Integrative Immunology and Behavior, University of Illinois, Urbana, IL USA.,2Division of Nutritional Sciences, University of Illinois, Urbana, IL USA
| | - Robyn Wall
- 1Department of Pathology, Program in Integrative Immunology and Behavior, University of Illinois, Urbana, IL USA
| | - Albert E Towers
- 1Department of Pathology, Program in Integrative Immunology and Behavior, University of Illinois, Urbana, IL USA.,2Division of Nutritional Sciences, University of Illinois, Urbana, IL USA
| | - Gregory G Freund
- 1Department of Pathology, Program in Integrative Immunology and Behavior, University of Illinois, Urbana, IL USA.,2Division of Nutritional Sciences, University of Illinois, Urbana, IL USA.,3Department of Animal Sciences, University of Illinois, Urbana, IL USA.,4Department of Pathology, College of Medicine, University of Illinois at Urbana Champaign, 506 South Mathews Avenue, Urbana, IL 61801 USA
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14
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Breyer JZ, Wendland EM, Kops NL, Caleffi M, Hammes LS. Assessment of potential risk factors for breast cancer in a population in Southern Brazil. Breast Cancer Res Treat 2018; 169:125-131. [PMID: 29344741 DOI: 10.1007/s10549-017-4655-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Accepted: 12/30/2017] [Indexed: 10/18/2022]
Abstract
PURPOSE The aim of this study is to assess potential risk factors for breast cancer in a population in Southern Brazil and build a multivariate logistic model using these factors for breast cancer risk prediction. METHODS A total of 4242 women between 40 and 69 years of age without a history of breast cancer were selected at primary healthcare facilities in Porto Alegre and submitted to mammographic screening. They were evaluated for potential risk factors. RESULTS In all, 73 participants among the 4242 women had a breast cancer diagnosis during the follow-up of the project (10 years). The multivariate analysis considering all the patients aged 40-69 years showed that older age (OR 1.08, 95% CI 1.04-1.12), higher height (OR 1.04, 95% CI 1.01-1.09), and history of previous breast biopsy (OR 2.66, 95% CI 1.38-5.13) were associated with the development of breast cancer. Conversely, the number of pregnancies (OR 0.87, 95% CI 0.78-0.98) and use of hormone replacement therapy (OR 0.39, 95% CI 0.20-0.75) were considered a protective factor. Additionally, we performed an analysis separating the participants into groups of 40-49 and 50-69 years old, since a risk factor could have a specific behavior in these age groups. No additional risk factors were identified within these age brackets, and some factors lost statistical significance. CONCLUSION The risk prediction model indicates that the following variables should be assessed in this specific population: age, height, having had previous breast biopsies, number of pregnancies, and use of hormone replacement therapy. These findings may help to better understand the causal model of breast cancer in Southern Brazil.
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Affiliation(s)
| | - Eliana Marcia Wendland
- Hospital Moinhos de Vento, Porto Alegre, Brazil.,Department of Public Health, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Brazil
| | - Natália Luiza Kops
- Hospital Moinhos de Vento, Porto Alegre, Brazil. .,Post-Graduate Program in Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
| | - Maira Caleffi
- Hospital Moinhos de Vento, Porto Alegre, Brazil.,Núcleo Mama Porto Alegre, Porto Alegre, Brazil
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