ArticleOncotarget2016
Plasma lipidomics profiling identified lipid biomarkers in distinguishing early-stage breast cancer from benign lesions.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.
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Who cites it
64 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Plasma lipidomic and metabolomic profiles in high-grade glioma patients before and after 72-h presurgery water-only fasting.Molecular oncology · 2025Trial
- Small Extracellular Vesicle and Total Lipid Profiles Provide a Diagnostic Advantage Over CA-125 Across Ovarian Cancer Subtypes.Journal of extracellular vesicles · 2026Article
- LC-QQQ serum metabolomics reveals disease-specific metabolic signatures and diagnostic metabolite panels distinguishing polycythaemia vera from secondary polycythaemia.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Alterations in the Gut Microbiota and Metabolite Profiles of Lung Cancer Patients.Current microbiology · 2025Article
- Urinary metabolomics predicts early rituximab response in steroid-nonresponsive pediatric patients with primary immune thrombocytopenia.Annals of hematology · 2025Article
- Lipids: Driving Forces in the Underlying Biology of Carcinogenesis.ACS pharmacology & translational science · 2025Review
- Blood metabolites reflect the effect of gut microbiota on differentiated thyroid cancer: a Mendelian randomization analysis.BMC cancer · 2025Article
- Lipidomics in Breast Cancer: Decoding Metabolic Reprogramming and Unlocking Therapeutic Opportunities.Current drug targets · 2025Review
- Discovery of Plasma Lipids as Potential Biomarkers Distinguishing Breast Cancer Patients from Healthy Controls.International journal of molecular sciences · 2024Article
- Adaptations of membrane trafficking in cancer and tumorigenesis.Journal of cell science · 2024Review
- From big data to big insights: statistical and bioinformatic approaches for exploring the lipidome.Analytical and bioanalytical chemistry · 2024Review
- Lipid profile of circulating placental extracellular vesicles during pregnancy identifies foetal growth restriction risk.Journal of extracellular vesicles · 2024Article
- Advances in Mass Spectrometry-Based Blood Metabolomics Profiling for Non-Cancer Diseases: A Comprehensive Review.Metabolites · 2024Review
- Unraveling lipid and inflammation interplay in cancer, aging and infection for novel theranostic approaches.Frontiers in immunology · 2024Review
- Disturbed Plasma Lipidomic Profiles in Females with Diffuse Large B-Cell Lymphoma: A Pilot Study.Cancers · 2023Article
- Review
- Lipid Biomarkers in Liquid Biopsies: Novel Opportunities for Cancer Diagnosis.Pharmaceutics · 2023Review
- Multi-dimensional role of gangliosides in modulating cancer hallmarks and their prospects in targeted cancer therapy.Frontiers in pharmacology · 2023Review
- Synthesis of ether lipids: natural compounds and analogues.Beilstein journal of organic chemistry · 2023Review
4 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
Abstract
backgroundBreast cancer is very common and highly fatal in women. Current non-invasive detection methods like mammograms are unsatisfactory. Lipidomics, a promising detection method, may serve as a novel prognostic approach for breast cancer in high-risk patients.
resultsAccording the predictive model, the combination of 15 lipid species had high diagnostic value. In the training set, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the combination of these 15 lipid species were 83.3%, 92.7%, 89.7%, and 87.9%, respectively. The AUC in the training set was 0.926 (95% CI 0.869-0.982). Similar results were found in the validation set, with the sensitivity, specificity, PPV and NPV at 81.0%, 94.5%, 91.9%, and 86.7%, respectively. The AUC was 0.938 (95% CI 0.889-0.986) in the validation set.
methodsUsing triple quadrupole liquid chromatography electrospray ionization tandem mass spectrometry, this study was to detect global lipid profiling of a total of 194 plasma samples from 84 patients with early-stage breast cancer (stage 0-II) and 110 patients with benign breast disease included in a training set and a validation set. A binary logistic regression was used to build a predictive model for evaluating the lipid species as potential biomarkers in the diagnosis of breast cancer.
conclusionsThe combination of these 15 lipid species as a panel could be used as plasma biomarkers for the diagnosis of breast cancer.
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