ArticleGenome medicine2016
Novel personalized pathway-based metabolomics models reveal key metabolic pathways for breast cancer diagnosis.
Article in Genome medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03343236 (Inflammation and Metabolism After Radiotherapy- Predictors of Survival in Patients With Head and Neck Cancer), which is not on this map. Cited by 87 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Inflammation and Metabolism After Radiotherapy- Predictors of Survival in Patients With Head and Neck Cancer
Who cites it
87 citing papers in PubMed, 2 syntheses or guidelines pooled it, 146 citations in OpenAlex.
- A review of omics approaches to study preeclampsia.Placenta · 2020Pooled it
- Multimodal Meta-Analysis of 1,494 Hepatocellular Carcinoma Samples Reveals Significant Impact of Consensus Driver Genes on Phenotypes.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019Pooled it
- Metabolic profiling of human melanoma cell lines with high and low metastatic capacity by 1H-NMR spectroscopy.PloS one · 2026Article
- Machine learning-assisted quantitative metabolomics of West African patients with advanced breast cancer.Scientific reports · 2025Article
- Association between taurine transporter SLC6A6 and breast cancer development and prognosis: a Mendelian randomization analysis.Discover oncology · 2025Article
- Taurine and proline promote lung tumour growth by co-regulating Azgp1/mTOR signalling pathway.NPJ precision oncology · 2025Article
- Deep learning-based metabolomics data study of prostate cancer.BMC bioinformatics · 2024Article
- Review
- A Multiomics, Molecular Atlas of Breast Cancer Survivors.Metabolites · 2024Article
- Comprehensive multi-omics analysis of breast cancer reveals distinct long-term prognostic subtypes.Oncogenesis · 2024Article
- Use of ultra-high performance liquid chromatography-high-resolution mass spectroscopy to profile the metabolites from the serum of patients with breast cancer.Oncology letters · 2024Article
- Identification of circulating metabolites linked to the risk of breast cancer: a mendelian randomization study.Frontiers in pharmacology · 2024Article
- Development of a urine-based metabolomics approach for multi-cancer screening and tumor origin prediction.Frontiers in immunology · 2024Article
- Article
- The Role of Amino Acids in the Diagnosis, Risk Assessment, and Treatment of Breast Cancer: A Review.Current issues in molecular biology · 2023Review
- Characteristics of Cancer Epidemiology Studies That Employ Metabolomics: A Scoping Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023Article
- Overexpression of C19orf48 correlates with poor prognosis in breast cancer.African health sciences · 2023Article
- Multiomics insights on the onset, progression, and metastatic evolution of breast cancer.Frontiers in oncology · 2023Review
- Microbiome and metabolic features of tissues and feces reveal diagnostic biomarkers for colorectal cancer.Frontiers in microbiology · 2023Article
- Serum amino acids quantification by plasmonic colloidosome-coupled MALDI-TOF MS for triple-negative breast cancer diagnosis.Materials today. Bio · 2022Article
27 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundMore accurate diagnostic methods are pressingly needed to diagnose breast cancer, the most common malignant cancer in women worldwide. Blood-based metabolomics is a promising diagnostic method for breast cancer. However, many metabolic biomarkers are difficult to replicate among studies.
methodsWe propose that higher-order functional representation of metabolomics data, such as pathway-based metabolomic features, can be used as robust biomarkers for breast cancer. Towards this, we have developed a new computational method that uses personalized pathway dysregulation scores for disease diagnosis. We applied this method to predict breast cancer occurrence, in combination with correlation feature selection (CFS) and classification methods.
resultsThe resulting all-stage and early-stage diagnosis models are highly accurate in two sets of testing blood samples, with average AUCs (Area Under the Curve, a receiver operating characteristic curve) of 0.968 and 0.934, sensitivities of 0.946 and 0.954, and specificities of 0.934 and 0.918. These two metabolomics-based pathway models are further validated by RNA-Seq-based TCGA (The Cancer Genome Atlas) breast cancer data, with AUCs of 0.995 and 0.993. Moreover, important metabolic pathways, such as taurine and hypotaurine metabolism and the alanine, aspartate, and glutamate pathway, are revealed as critical biological pathways for early diagnosis of breast cancer.
conclusionsWe have successfully developed a new type of pathway-based model to study metabolomics data for disease diagnosis. Applying this method to blood-based breast cancer metabolomics data, we have discovered crucial metabolic pathway signatures for breast cancer diagnosis, especially early diagnosis. Further, this modeling approach may be generalized to other omics data types for disease diagnosis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.