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Association between human blood metabolome and the risk of breast cancer

BACKGROUND: Breast cancer is the most common cancer among women with limited treatment options. To identify promising drug targets for breast cancer, we conducted a systematical Mendelian randomization (MR) study to screen blood metabolome for potential causal mediators of breast cancer and further...

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Autores principales: Wang, Yu, Liu, Fanghua, Sun, Lulu, Jia, Yiming, Yang, Pinni, Guo, Daoxia, Shi, Mengyao, Wang, Aili, Chen, Guo-Chong, Zhang, Yonghong, Zhu, Zhengbao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872401/
https://www.ncbi.nlm.nih.gov/pubmed/36694207
http://dx.doi.org/10.1186/s13058-023-01609-4
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author Wang, Yu
Liu, Fanghua
Sun, Lulu
Jia, Yiming
Yang, Pinni
Guo, Daoxia
Shi, Mengyao
Wang, Aili
Chen, Guo-Chong
Zhang, Yonghong
Zhu, Zhengbao
author_facet Wang, Yu
Liu, Fanghua
Sun, Lulu
Jia, Yiming
Yang, Pinni
Guo, Daoxia
Shi, Mengyao
Wang, Aili
Chen, Guo-Chong
Zhang, Yonghong
Zhu, Zhengbao
author_sort Wang, Yu
collection PubMed
description BACKGROUND: Breast cancer is the most common cancer among women with limited treatment options. To identify promising drug targets for breast cancer, we conducted a systematical Mendelian randomization (MR) study to screen blood metabolome for potential causal mediators of breast cancer and further predict target-mediated side effects. METHODS: We selected 112 unique blood metabolites from 3 large-scale European ancestry-based genome-wide association studies (GWASs) with a total of 147,827 participants. Breast cancer data were obtained from a GWAS in the Breast Cancer Association Consortium (BCAC), involving 122,977 cases and 105,974 controls of European ancestry. We conducted MR analyses to systematically assess the associations of blood metabolites with breast cancer, and a phenome-wide MR analysis was further applied to ascertain the potential on-target side effects of metabolite interventions. RESULTS: Two blood metabolites were identified as the potential causal mediators for breast cancer, including high-density lipoprotein cholesterol (HDL-C) (odds ratio [OR], 1.09; 95% confidence interval [CI], 1.06–1.12; P = 9.67 × 10(−10)) and acetate (OR, 1.24; 95% CI, 1.13–1.37; P = 1.35 × 10(−5)). In the phenome-wide MR analysis, lowering HDL-C might have deleterious effects on the risk of the circulatory system and foreign body injury, while lowering acetate had deleterious effects on mental disorders disease. CONCLUSIONS: The present systematic MR analysis revealed that HDL-C and acetate may be the causal mediators in the risk of developing breast cancer. Side-effect profiles were characterized to help inform drug target prioritization for breast cancer prevention. HDL-C and acetate might be promising drug targets for preventing breast cancer, but they should be applied under weighting advantages and disadvantages. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-023-01609-4.
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spelling pubmed-98724012023-01-25 Association between human blood metabolome and the risk of breast cancer Wang, Yu Liu, Fanghua Sun, Lulu Jia, Yiming Yang, Pinni Guo, Daoxia Shi, Mengyao Wang, Aili Chen, Guo-Chong Zhang, Yonghong Zhu, Zhengbao Breast Cancer Res Research BACKGROUND: Breast cancer is the most common cancer among women with limited treatment options. To identify promising drug targets for breast cancer, we conducted a systematical Mendelian randomization (MR) study to screen blood metabolome for potential causal mediators of breast cancer and further predict target-mediated side effects. METHODS: We selected 112 unique blood metabolites from 3 large-scale European ancestry-based genome-wide association studies (GWASs) with a total of 147,827 participants. Breast cancer data were obtained from a GWAS in the Breast Cancer Association Consortium (BCAC), involving 122,977 cases and 105,974 controls of European ancestry. We conducted MR analyses to systematically assess the associations of blood metabolites with breast cancer, and a phenome-wide MR analysis was further applied to ascertain the potential on-target side effects of metabolite interventions. RESULTS: Two blood metabolites were identified as the potential causal mediators for breast cancer, including high-density lipoprotein cholesterol (HDL-C) (odds ratio [OR], 1.09; 95% confidence interval [CI], 1.06–1.12; P = 9.67 × 10(−10)) and acetate (OR, 1.24; 95% CI, 1.13–1.37; P = 1.35 × 10(−5)). In the phenome-wide MR analysis, lowering HDL-C might have deleterious effects on the risk of the circulatory system and foreign body injury, while lowering acetate had deleterious effects on mental disorders disease. CONCLUSIONS: The present systematic MR analysis revealed that HDL-C and acetate may be the causal mediators in the risk of developing breast cancer. Side-effect profiles were characterized to help inform drug target prioritization for breast cancer prevention. HDL-C and acetate might be promising drug targets for preventing breast cancer, but they should be applied under weighting advantages and disadvantages. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-023-01609-4. BioMed Central 2023-01-24 2023 /pmc/articles/PMC9872401/ /pubmed/36694207 http://dx.doi.org/10.1186/s13058-023-01609-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Yu
Liu, Fanghua
Sun, Lulu
Jia, Yiming
Yang, Pinni
Guo, Daoxia
Shi, Mengyao
Wang, Aili
Chen, Guo-Chong
Zhang, Yonghong
Zhu, Zhengbao
Association between human blood metabolome and the risk of breast cancer
title Association between human blood metabolome and the risk of breast cancer
title_full Association between human blood metabolome and the risk of breast cancer
title_fullStr Association between human blood metabolome and the risk of breast cancer
title_full_unstemmed Association between human blood metabolome and the risk of breast cancer
title_short Association between human blood metabolome and the risk of breast cancer
title_sort association between human blood metabolome and the risk of breast cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872401/
https://www.ncbi.nlm.nih.gov/pubmed/36694207
http://dx.doi.org/10.1186/s13058-023-01609-4
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