ArticleBMC cancer2011
Protein and lipid MALDI profiles classify breast cancers according to the intrinsic subtype.
Article in BMC cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 69 citations in OpenAlex.
- Imaging-Guided Live Single-Cell Lipid Profiling of Leader and Follower Cells During Collective Migration of Triple-Negative Breast Cancer Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Feature Down-Selection to Improve Supervised Classification by Machine Learning on Mass Spectrometry Imaging Data.Molecules (Basel, Switzerland) · 2026Article
- Sequential MALDI-MSI-Based Multiomics Reveals Spatial Lipid, Glycan, and Tryptic Peptide Signatures in Breast Tumor Histopathology.Analytical chemistry · 2026Article
- Identification of Glycoprotein Biomarkers in Breast Cancer by MALDI.Life (Basel, Switzerland) · 2026Review
- The MALDI Method to Analyze the Lipid Profile, Including Cholesterol, Triglycerides and Other Lipids.Current issues in molecular biology · 2026Review
- Review
- Is Lipid Metabolism of Value in Cancer Research and Treatment? Part I- Lipid Metabolism in Cancer.Metabolites · 2024Review
- Extracellular vesicles as a promising source of lipid biomarkers for breast cancer detection in blood plasma.Journal of extracellular vesicles · 2024Article
- Correlations between serum lipid and Ki-67 levels in different breast cancer molecular subcategories.Oncology letters · 2023Article
- Visualization of Small Intact Proteins in Breast Cancer FFPE Tissue.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Review
- Advances in Analyzing the Breast Cancer Lipidome and Its Relevance to Disease Progression and Treatment.Journal of mammary gland biology and neoplasia · 2021Review
- Expanding Roles of De Novo Lipogenesis in Breast Cancer.International journal of environmental research and public health · 2021Review
- Analytical Platforms for the Determination of Phospholipid Turnover in Breast Cancer Tissue: Role of Phospholipase Activity in Breast Cancer Development.Metabolites · 2021Review
- Proteomics and its applications in breast cancer.American journal of cancer research · 2021Review
- Metabolomics Profiling Discriminates Prostate Cancer From Benign Prostatic Hyperplasia Within the Prostate-Specific Antigen Gray Zone.Frontiers in oncology · 2021Article
- Peptide barcodes in dogs affected by mitral valve disease with and without pulmonary hypertension using MALDI-TOF MS and LC-MS/MS.PloS one · 2021Article
- The Function and Mechanism of Lipid Molecules and Their Roles in The Diagnosis and Prognosis of Breast Cancer.Molecules (Basel, Switzerland) · 2020Review
- Double Bond Characterization of Free Fatty Acids Directly from Biological Tissues by Ultraviolet Photodissociation.Analytical chemistry · 2020Article
- Article
Corrections and comments
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Authors and funding
16 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMatrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) has been demonstrated to be useful for molecular profiling of common solid tumors. Using recently developed MALDI matrices for lipid profiling, we evaluated whether direct tissue MALDI MS analysis on proteins and lipids may classify human breast cancer samples according to the intrinsic subtype.
methodsThirty-four pairs of frozen, resected breast cancer and adjacent normal tissue samples were analyzed using histology-directed, MALDI MS analysis. Sinapinic acid and 2,5-dihydroxybenzoic acid/α-cyano-4-hydroxycinnamic acid were manually deposited on areas of each tissue section enriched in epithelial cells to identify lipid profiles, and mass spectra were acquired using a MALDI-time of flight instrument.
resultsProtein and lipid profiles distinguish cancer from adjacent normal tissue samples with the median prediction accuracy of 94.1%. Luminal, HER2+, and triple-negative tumors demonstrated different protein and lipid profiles, as evidenced by permutation P values less than 0.01 for 0.632+ bootstrap cross-validated misclassification rates with all classifiers tested. Discriminatory proteins and lipids were useful for classifying tumors according to the intrinsic subtype with median prediction accuracies of 80.0-81.3% in random test sets.
conclusionsProtein and lipid profiles accurately distinguish tumor from adjacent normal tissue and classify breast cancers according to the intrinsic subtype.
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Registered trials
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.