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Association of lipid profile biomarkers with breast cancer by molecular subtype: analysis of the MEND study

There is conflicting evidence on the role of lipid biomarkers in breast cancer (BC), and no study to our knowledge has examined this association among African women. We estimated odds ratios (ORs) and 95% confidence intervals (95% CI) for the association of lipid biomarkers—total cholesterol, high-d...

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Autores principales: Gupta, Anjali, Saraiya, Veeral, Deveaux, April, Oyekunle, Taofik, Jackson, Klarissa D., Salako, Omolola, Daramola, Adetola, Hall, Allison, Alatise, Olusegun, Ogun, Gabriel, Adeniyi, Adewale, Ayandipo, Omobolaji, Olajide, Thomas, Olasehinde, Olalekan, Arowolo, Olukayode, Adisa, Adewale, Afuwape, Oludolapo, Olusanya, Aralola, Adegoke, Aderemi, Tollefsbol, Trygve O., Arnett, Donna, Muehlbauer, Michael J., Newgard, Christopher B., Akinyemiju, Tomi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226351/
https://www.ncbi.nlm.nih.gov/pubmed/35739205
http://dx.doi.org/10.1038/s41598-022-13740-x
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author Gupta, Anjali
Saraiya, Veeral
Deveaux, April
Oyekunle, Taofik
Jackson, Klarissa D.
Salako, Omolola
Daramola, Adetola
Hall, Allison
Alatise, Olusegun
Ogun, Gabriel
Adeniyi, Adewale
Ayandipo, Omobolaji
Olajide, Thomas
Olasehinde, Olalekan
Arowolo, Olukayode
Adisa, Adewale
Afuwape, Oludolapo
Olusanya, Aralola
Adegoke, Aderemi
Tollefsbol, Trygve O.
Arnett, Donna
Muehlbauer, Michael J.
Newgard, Christopher B.
Akinyemiju, Tomi
author_facet Gupta, Anjali
Saraiya, Veeral
Deveaux, April
Oyekunle, Taofik
Jackson, Klarissa D.
Salako, Omolola
Daramola, Adetola
Hall, Allison
Alatise, Olusegun
Ogun, Gabriel
Adeniyi, Adewale
Ayandipo, Omobolaji
Olajide, Thomas
Olasehinde, Olalekan
Arowolo, Olukayode
Adisa, Adewale
Afuwape, Oludolapo
Olusanya, Aralola
Adegoke, Aderemi
Tollefsbol, Trygve O.
Arnett, Donna
Muehlbauer, Michael J.
Newgard, Christopher B.
Akinyemiju, Tomi
author_sort Gupta, Anjali
collection PubMed
description There is conflicting evidence on the role of lipid biomarkers in breast cancer (BC), and no study to our knowledge has examined this association among African women. We estimated odds ratios (ORs) and 95% confidence intervals (95% CI) for the association of lipid biomarkers—total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglycerides—with odds of BC overall and by subtype (Luminal A, Luminal B, HER2-enriched and triple-negative or TNBC) for 296 newly diagnosed BC cases and 116 healthy controls in Nigeria. Each unit standard deviation (SD) increase in triglycerides was associated with 39% increased odds of BC in fully adjusted models (aOR: 1.39; 95% CI: 1.03, 1.86). Among post-menopausal women, higher total cholesterol (aOR: 1.65; 95% CI: 1.06, 2.57), LDL cholesterol (aOR: 1.59; 95% CI: 1.04, 2.41), and triglycerides (aOR: 1.91; 95% CI: 1.21, 3.01) were associated with increased odds of BC. Additionally, each unit SD increase in LDL was associated with 64% increased odds of Luminal B BC (aOR 1.64; 95% CI: 1.06, 2.55). Clinically low HDL was associated with 2.7 times increased odds of TNBC (aOR 2.67; 95% CI: 1.10, 6.49). Among post-menopausal women, higher LDL cholesterol and triglycerides were significantly associated with increased odds of Luminal B BC and HER2 BC, respectively. In conclusion, low HDL and high LDL are associated with increased odds of TN and Luminal B BC, respectively, among African women. Future prospective studies can definitively characterize this association and inform clinical approaches targeting HDL as a BC prevention strategy.
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spelling pubmed-92263512022-06-25 Association of lipid profile biomarkers with breast cancer by molecular subtype: analysis of the MEND study Gupta, Anjali Saraiya, Veeral Deveaux, April Oyekunle, Taofik Jackson, Klarissa D. Salako, Omolola Daramola, Adetola Hall, Allison Alatise, Olusegun Ogun, Gabriel Adeniyi, Adewale Ayandipo, Omobolaji Olajide, Thomas Olasehinde, Olalekan Arowolo, Olukayode Adisa, Adewale Afuwape, Oludolapo Olusanya, Aralola Adegoke, Aderemi Tollefsbol, Trygve O. Arnett, Donna Muehlbauer, Michael J. Newgard, Christopher B. Akinyemiju, Tomi Sci Rep Article There is conflicting evidence on the role of lipid biomarkers in breast cancer (BC), and no study to our knowledge has examined this association among African women. We estimated odds ratios (ORs) and 95% confidence intervals (95% CI) for the association of lipid biomarkers—total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglycerides—with odds of BC overall and by subtype (Luminal A, Luminal B, HER2-enriched and triple-negative or TNBC) for 296 newly diagnosed BC cases and 116 healthy controls in Nigeria. Each unit standard deviation (SD) increase in triglycerides was associated with 39% increased odds of BC in fully adjusted models (aOR: 1.39; 95% CI: 1.03, 1.86). Among post-menopausal women, higher total cholesterol (aOR: 1.65; 95% CI: 1.06, 2.57), LDL cholesterol (aOR: 1.59; 95% CI: 1.04, 2.41), and triglycerides (aOR: 1.91; 95% CI: 1.21, 3.01) were associated with increased odds of BC. Additionally, each unit SD increase in LDL was associated with 64% increased odds of Luminal B BC (aOR 1.64; 95% CI: 1.06, 2.55). Clinically low HDL was associated with 2.7 times increased odds of TNBC (aOR 2.67; 95% CI: 1.10, 6.49). Among post-menopausal women, higher LDL cholesterol and triglycerides were significantly associated with increased odds of Luminal B BC and HER2 BC, respectively. In conclusion, low HDL and high LDL are associated with increased odds of TN and Luminal B BC, respectively, among African women. Future prospective studies can definitively characterize this association and inform clinical approaches targeting HDL as a BC prevention strategy. Nature Publishing Group UK 2022-06-23 /pmc/articles/PMC9226351/ /pubmed/35739205 http://dx.doi.org/10.1038/s41598-022-13740-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Gupta, Anjali
Saraiya, Veeral
Deveaux, April
Oyekunle, Taofik
Jackson, Klarissa D.
Salako, Omolola
Daramola, Adetola
Hall, Allison
Alatise, Olusegun
Ogun, Gabriel
Adeniyi, Adewale
Ayandipo, Omobolaji
Olajide, Thomas
Olasehinde, Olalekan
Arowolo, Olukayode
Adisa, Adewale
Afuwape, Oludolapo
Olusanya, Aralola
Adegoke, Aderemi
Tollefsbol, Trygve O.
Arnett, Donna
Muehlbauer, Michael J.
Newgard, Christopher B.
Akinyemiju, Tomi
Association of lipid profile biomarkers with breast cancer by molecular subtype: analysis of the MEND study
title Association of lipid profile biomarkers with breast cancer by molecular subtype: analysis of the MEND study
title_full Association of lipid profile biomarkers with breast cancer by molecular subtype: analysis of the MEND study
title_fullStr Association of lipid profile biomarkers with breast cancer by molecular subtype: analysis of the MEND study
title_full_unstemmed Association of lipid profile biomarkers with breast cancer by molecular subtype: analysis of the MEND study
title_short Association of lipid profile biomarkers with breast cancer by molecular subtype: analysis of the MEND study
title_sort association of lipid profile biomarkers with breast cancer by molecular subtype: analysis of the mend study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226351/
https://www.ncbi.nlm.nih.gov/pubmed/35739205
http://dx.doi.org/10.1038/s41598-022-13740-x
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