ArticleOncoTargets and therapy2016
A dried blood spot mass spectrometry metabolomic approach for rapid breast cancer detection.
Article in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Who cites it
53 citing papers in PubMed.
- Metabolic profile changes in patients with rheumatoid arthritis detected using mass spectrometry.Scientific reports · 2025Article
- Altered metabolic profiles in colon and rectal cancer.Scientific reports · 2025Article
- Review
- Lipidomics and metabolomics as potential biomarkers for breast cancer progression.npj metabolic health and disease · 2024Review
- The association between plasma free amino acids and type 2 diabetes mellitus complicated with infection in Chinese patients.Diabetology & metabolic syndrome · 2024Article
- Interactive effect of phenylalanine with duration of diabetes on the risk of small vessel disease in Chinese patients with T2DM.Frontiers in endocrinology · 2024Article
- Interpretable machine learning identifies metabolites associated with glomerular filtration rate in type 2 diabetes patients.Frontiers in endocrinology · 2024Article
- Metabolomic analysis for asymptomatic hyperuricemia and gout based on a combination of dried blood spot sampling and mass spectrometry technology.Journal of orthopaedic surgery and research · 2023Article
- Metabolite Stability in Archived Neonatal Dried Blood Spots Used for Epidemiologic Research.American journal of epidemiology · 2023Article
- The Role of Amino Acids in the Diagnosis, Risk Assessment, and Treatment of Breast Cancer: A Review.Current issues in molecular biology · 2023Review
- The diagnostic significance of circulating miRNAs and metabolite profiling in early prediction of breast cancer in Egyptian women.Journal of cancer research and clinical oncology · 2023Article
- The association and prediction value of acylcarnitine on diabetic nephropathy in Chinese patients with type 2 diabetes mellitus.Diabetology & metabolic syndrome · 2023Article
- Prevalence of Diabetic Retinopathy and Use of Common Oral Hypoglycemic Agents Increase the Risk of Diabetic Nephropathy-A Cross-Sectional Study in Patients with Type 2 Diabetes.International journal of environmental research and public health · 2023Article
- A Metabolism-Based Interpretable Machine Learning Prediction Model for Diabetic Retinopathy Risk: A Cross-Sectional Study in Chinese Patients with Type 2 Diabetes.Journal of diabetes research · 2023Article
- Associations of serum amino acids related to urea cycle with risk of chronic kidney disease in Chinese with type 2 diabetes.Frontiers in endocrinology · 2023Article
- The amino acid and carnitine concentration changes in bronchoalveolar lavage fluid from lung cancer patients.World journal of surgical oncology · 2022Article
- Metabolite biomarker discovery for human gastric cancer using dried blood spot mass spectrometry metabolomic approach.Scientific reports · 2022Article
- Metabolomics of Breast Cancer: A Review.Metabolites · 2022Review
- Study on plasma amino acids and piperonamide as potential diagnostic biomarkers of non-small cell lung cancer.Translational cancer research · 2022Article
- Breast cancer in the era of integrating "Omics" approaches.Oncogenesis · 2022Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveBreast cancer (BC) is still a lethal threat to women worldwide. An accurate screening and diagnosis strategy performed in an easy-to-operate manner is highly warranted in clinical perspective. Besides the routinely focused protein markers, blood is full of small molecular metabolites with diverse structures and properties. This study aimed to screen metabolite markers with BC diagnosis potentials.
methodsA dried blood spot-based direct infusion mass spectrometry (MS) metabolomic analysis was conducted for BC and non-BC differentiation. The targeted analytes included 23 amino acids and 26 acylcarnitines.
resultsMultivariate analysis screened out 21 BC-related metabolites in the blood. Regression analysis generated a diagnosis model consisting of parameters Pip, Asn, Pro, C14:1/C16, Phe/Tyr, and Gly/Ala. Tested with another set of BC and non-BC samples, this model showed a sensitivity of 92.2% and a specificity of 84.4%. Compared to the routinely used protein markers, this model exhibited distinct advantage with its higher sensitivity.
conclusionBlood metabolites screening is a more plausible approach for BC detection. Furthermore, this direct MS analysis could be finished within few minutes, which means that its throughput is higher than the currently used imaging techniques.
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