Causal associations between blood metabolites and breast cancer
Introduction The associations between blood metabolites and breast cancer remain unclear. We conducted a systematic two-sample Mendelian randomization (MR) analysis to identify key human blood metabolites and potential biomarkers for breast cancer development. Material and methods The data were ext...
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| Language: | English |
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Termedia Publishing House
2024-06-01
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| Series: | Archives of Medical Science |
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| Online Access: | https://www.archivesofmedicalscience.com/Causal-associations-between-blood-metabolites-and-breast-cancer,188275,0,2.html |
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| _version_ | 1850275706322288640 |
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| author | Guanying Liang Dazhuang Miao Chun Du |
| author_facet | Guanying Liang Dazhuang Miao Chun Du |
| author_sort | Guanying Liang |
| collection | DOAJ |
| description | Introduction
The associations between blood metabolites and breast cancer remain unclear. We conducted a systematic two-sample Mendelian randomization (MR) analysis to identify key human blood metabolites and potential biomarkers for breast cancer development.
Material and methods
The data were extracted from large-scale genome-wide association study (GWAS) public databases. Instrumental variables were selected from a cohort study of 453 metabolic profiles from 7,824 participants. Breast cancer incidence data were obtained from a large cohort study involving 138,389 cases and 240,341 controls. Causal associations between human blood metabolites and breast cancer incidence were assessed using inverse-variance weighting, and MR-Egger regression.
Results
Five human blood metabolites were identified as biomarkers for breast cancer: serine (OR = 2.25; 95% CI: 1.18–4.27), 10-undecenoate (11:1n1) (OR = 1.38; 95% CI: 1.00–1.90), X-12696 (OR = 2.15; 95% CI: 1.14–4.08), X-14626 (OR = 1.68; 95% CI: 1.15–2.46), and succinyl carnitine (OR = 1.58; 95% CI: 1.06–2.34). The sensitivity analysis results indicate no pleiotropy between the metabolites and breast cancer risk, confirming the robustness of the findings.
Conclusions
This study in metabolomics research identified five human blood metabolites – serine, 10-undecenoate (11:1n1), X-12696, X-14626, and succinylcarnitine – as potential biomarkers for assessing breast cancer risk. Among these metabolites, serine and X-12696 showed the strongest associations with the likelihood of developing breast cancer. |
| format | Article |
| id | doaj-art-e4a30f464513430eb61ccd5dbe406320 |
| institution | OA Journals |
| issn | 1734-1922 1896-9151 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Termedia Publishing House |
| record_format | Article |
| series | Archives of Medical Science |
| spelling | doaj-art-e4a30f464513430eb61ccd5dbe4063202025-08-20T01:50:38ZengTermedia Publishing HouseArchives of Medical Science1734-19221896-91512024-06-0121120621410.5114/aoms/188275188275Causal associations between blood metabolites and breast cancerGuanying Liang0Dazhuang Miao1Chun Du2Department of Pathology, Affiliated Cancer Hospital of Harbin Medical University, Nangang, Harbin, Heilongjiang, ChinaDepartment of Colorectal Cancer Surgery, Affiliated Cancer Hospital of Harbin Medical University, Nangang, Harbin, Heilongjiang, ChinaDepartment of Pathology, Affiliated Cancer Hospital of Harbin Medical University, Nangang, Harbin, Heilongjiang, ChinaIntroduction The associations between blood metabolites and breast cancer remain unclear. We conducted a systematic two-sample Mendelian randomization (MR) analysis to identify key human blood metabolites and potential biomarkers for breast cancer development. Material and methods The data were extracted from large-scale genome-wide association study (GWAS) public databases. Instrumental variables were selected from a cohort study of 453 metabolic profiles from 7,824 participants. Breast cancer incidence data were obtained from a large cohort study involving 138,389 cases and 240,341 controls. Causal associations between human blood metabolites and breast cancer incidence were assessed using inverse-variance weighting, and MR-Egger regression. Results Five human blood metabolites were identified as biomarkers for breast cancer: serine (OR = 2.25; 95% CI: 1.18–4.27), 10-undecenoate (11:1n1) (OR = 1.38; 95% CI: 1.00–1.90), X-12696 (OR = 2.15; 95% CI: 1.14–4.08), X-14626 (OR = 1.68; 95% CI: 1.15–2.46), and succinyl carnitine (OR = 1.58; 95% CI: 1.06–2.34). The sensitivity analysis results indicate no pleiotropy between the metabolites and breast cancer risk, confirming the robustness of the findings. Conclusions This study in metabolomics research identified five human blood metabolites – serine, 10-undecenoate (11:1n1), X-12696, X-14626, and succinylcarnitine – as potential biomarkers for assessing breast cancer risk. Among these metabolites, serine and X-12696 showed the strongest associations with the likelihood of developing breast cancer.https://www.archivesofmedicalscience.com/Causal-associations-between-blood-metabolites-and-breast-cancer,188275,0,2.htmlmetabolitesbreast cancermendelian randomization |
| spellingShingle | Guanying Liang Dazhuang Miao Chun Du Causal associations between blood metabolites and breast cancer Archives of Medical Science metabolites breast cancer mendelian randomization |
| title | Causal associations between blood metabolites and breast cancer |
| title_full | Causal associations between blood metabolites and breast cancer |
| title_fullStr | Causal associations between blood metabolites and breast cancer |
| title_full_unstemmed | Causal associations between blood metabolites and breast cancer |
| title_short | Causal associations between blood metabolites and breast cancer |
| title_sort | causal associations between blood metabolites and breast cancer |
| topic | metabolites breast cancer mendelian randomization |
| url | https://www.archivesofmedicalscience.com/Causal-associations-between-blood-metabolites-and-breast-cancer,188275,0,2.html |
| work_keys_str_mv | AT guanyingliang causalassociationsbetweenbloodmetabolitesandbreastcancer AT dazhuangmiao causalassociationsbetweenbloodmetabolitesandbreastcancer AT chundu causalassociationsbetweenbloodmetabolitesandbreastcancer |