ArticleBMC medicine2019
Prospective analysis of circulating metabolites and breast cancer in EPIC.
Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 2 of them syntheses that pooled it.
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Who cites it
80 citing papers in PubMed, 2 syntheses or guidelines pooled it, 128 citations in OpenAlex.
- Large-scale Integrated Analysis of Genetics and Metabolomic Data Reveals Potential Links Between Lipids and Colorectal Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Pooled it
- The underexplored links between cancer and the internal body climate: Implications for cancer prevention and treatment.Frontiers in oncology · 2022Pooled it
- Plasma metabolites, dietary intakes, and breast cancer incidence: a prospective case-cohort study in NutriNet-Santé.The American journal of clinical nutrition · 2026Article
- Blood-based obesity biomarkers and their relevance for disease risk.Nature reviews. Endocrinology · 2026Review
- Adiposity and cancer: epidemiology, mechanisms and future perspectives.Nature metabolism · 2026Review
- Systemic Dyslipidemia Drives Pan-Cancer Prognosis via Epigenetic Remodeling: A Hybrid Pi-Score Analysis.Cancers · 2026Article
- Acylcarnitines in Cancer Metabolism: Mechanistic Insights and Stratification Potential.Cancers · 2026Review
- Integrative Analysis of 4-Hydroxynonenal-Modified Proteins and Plasma Metabolome in Breast Cancer Patients.Antioxidants (Basel, Switzerland) · 2026Article
- Role of TRAIL in mediating the effect of lipidome on breast cancer: a Mendelian randomization study.Translational cancer research · 2026Article
- Global research dynamics in metabolic biomarkers and cancer: a bibliometric study from 2015 to 2025.Discover oncology · 2025Review
- Prospective study of circulating metabolomic profiles and breast cancer incidence among predominantly premenopausal women.British journal of cancer · 2025Observational
- Pre-diagnostic serum metabolome and breast cancer risk: a nested case-control study.Breast cancer research : BCR · 2025Article
- Machine learning-assisted quantitative metabolomics of West African patients with advanced breast cancer.Scientific reports · 2025Article
- Variable Selection with FDR Control for Noisy Data - An Application to Screening Metabolites that Are Associated with Breast Cancer and Colorectal Cancer.Journal of data science : JDS · 2025Article
- Application of Metabolic Biomarkers in Breast Cancer: A Literature Review.Annals of laboratory medicine · 2025Review
- Identifying Metabolomic Mediators of the Physical Activity and Colorectal Cancer Relationship.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- Physical activity, metabolites, and breast cancer associations.Journal of the National Cancer Institute · 2025Article
- Plasma metabolomics profiles and breast cancer risk.Breast cancer research : BCR · 2024Article
- Metabolite Predictors of Breast and Colorectal Cancer Risk in the Women's Health Initiative.Metabolites · 2024Article
- Article
20 more citing papers are in PubMed but not listed here.
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Authors and funding
45 authors at 20 institutions in 10 countries.
Funding
Abstract
backgroundMetabolomics is a promising molecular tool to identify novel etiologic pathways leading to cancer. Using a targeted approach, we prospectively investigated the associations between metabolite concentrations in plasma and breast cancer risk.
methodsA nested case-control study was established within the European Prospective Investigation into Cancer cohort, which included 1624 first primary incident invasive breast cancer cases (with known estrogen and progesterone receptor and HER2 status) and 1624 matched controls. Metabolites (n = 127, acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexose, sphingolipids) were measured by mass spectrometry in pre-diagnostic plasma samples and tested for associations with breast cancer incidence using multivariable conditional logistic regression.
resultsAmong women not using hormones at baseline (n = 2248), and after control for multiple tests, concentrations of arginine (odds ratio [OR] per SD = 0.79, 95% confidence interval [CI] = 0.70-0.90), asparagine (OR = 0.83 (0.74-0.92)), and phosphatidylcholines (PCs) ae C36:3 (OR = 0.83 (0.76-0.90)), aa C36:3 (OR = 0.84 (0.77-0.93)), ae C34:2 (OR = 0.85 (0.78-0.94)), ae C36:2 (OR = 0.85 (0.78-0.88)), and ae C38:2 (OR = 0.84 (0.76-0.93)) were inversely associated with breast cancer risk, while the acylcarnitine C2 (OR = 1.23 (1.11-1.35)) was positively associated with disease risk. In the overall population, C2 (OR = 1.15 (1.06-1.24)) and PC ae C36:3 (OR = 0.88 (0.82-0.95)) were associated with risk of breast cancer, and these relationships did not differ by breast cancer subtype, age at diagnosis, fasting status, menopausal status, or adiposity.
conclusionsThese findings point to potentially novel pathways and biomarkers of breast cancer development. Results warrant replication in other epidemiological studies.
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