ArticlePloS one2016
The Role of High-Resolution Magic Angle Spinning 1H Nuclear Magnetic Resonance Spectroscopy for Predicting the Invasive Component in Patients with Ductal Carcinoma In Situ Diagnosed on Preoperative Biopsy.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 28 citations in OpenAlex.
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- Detecting Glutathione and Related Antioxidants as Biomarkers in Patient Breast Tumor Tissues: An Update in the Age of Metabolomics.Oxidative medicine and cellular longevity · 2025Review
- A clinical radiomics nomogram preoperatively to predict ductal carcinoma in situ with microinvasion in women with biopsy-confirmed ductal carcinoma in situ: a preliminary study.BMC medical imaging · 2023Article
- Magnetic Resonance Imaging (MRI) and MR Spectroscopic Methods in Understanding Breast Cancer Biology and Metabolism.Metabolites · 2022Review
- Metabolomic Impact of Lidocaine on a Triple Negative Breast Cancer Cell Line.Frontiers in pharmacology · 2022Article
- Metabolic Adaptations in an Endocrine-Related Breast Cancer Mouse Model Unveil Potential Markers of Tumor Response to Hormonal Therapy.Frontiers in oncology · 2022Article
- MR spectroscopy in breast cancer metabolomics.Analytical science advances · 2021Review
- Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer.International journal of molecular sciences · 2021Review
- Fecal Metabolic Profiling of Breast Cancer Patients during Neoadjuvant Chemotherapy Reveals Potential Biomarkers.Molecules (Basel, Switzerland) · 2021Article
- The role of MRI and clinicopathologic features in predicting the invasive component of biopsy-confirmed ductal carcinoma in situ.BMC medical imaging · 2020Article
- Distinct phenotypes of cancer cells on tissue matrix gel.Breast cancer research : BCR · 2020Article
- Clinical applications of breast cancer metabolomics using high-resolution magic angle spinning proton magnetic resonance spectroscopy (HRMAS 1H MRS): systematic scoping review.Metabolomics : Official journal of the Metabolomic Society · 2019Article
- Proton MR spectroscopy in the breast: Technical innovations and clinical applications.Journal of magnetic resonance imaging : JMRI · 2019Review
- Metabolomic prostate cancer fields in HRMAS MRS-profiled histologically benign tissue vary with cancer status and distance from cancer.NMR in biomedicine · 2019Article
- Current Status and Future Prospects of Clinically Exploiting Cancer-specific Metabolism-Why Is Tumor Metabolism Not More Extensively Translated into Clinical Targets and Biomarkers?International journal of molecular sciences · 2019Review
- HR-MAS NMR Based Quantitative Metabolomics in Breast Cancer.Metabolites · 2019Review
- Alteration in lipid composition differentiates breast cancer tissues: aMetabolomics : Official journal of the Metabolomic Society · 2018Article
- Applications of high-resolution magic angle spinning MRS in biomedical studies II-Human diseases.NMR in biomedicine · 2017Review
- Recent Advances in NMR-Based Metabolomics.Analytical chemistry · 2017Review
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to evaluate the role of high-resolution magic angle spinning (HR-MAS) 1H nuclear magnetic resonance (NMR) spectroscopy in patients with ductal carcinoma in situ (DCIS) diagnosed on preoperative biopsy. We investigated whether the metabolic profiling of tissue samples using HR-MAS 1H NMR spectroscopy could be used to distinguish between DCIS lesions with or without an invasive component. Our institutional review board approved this combined retrospective and prospective study. Tissue samples were collected from 30 patients with pure DCIS and from 30 with DCIS accompanying invasive carcinoma. All patients were diagnosed with DCIS by preoperative core-needle biopsy and underwent surgical resection. The metabolic profiling of tissue samples was performed by HR-MAS 1H NMR spectroscopy. All observable metabolite signals were identified and quantified in all tissue samples. Metabolite intensity normalized by total spectral intensities was compared according to the tumor type using the Mann-Whitney test. Multivariate analysis was performed with orthogonal projections to latent structure-discriminant analysis (OPLS-DA). By univariate analysis, the metabolite concentrations of choline-containing compounds obtained with HR-MAS 1H NMR spectroscopy did not differ significantly between the pure DCIS and DCIS accompanying invasive carcinoma groups. However, the GPC/PC ratio was higher in the pure DCIS group than in the DCIS accompanying invasive carcinoma group (p = 0.004, Bonferroni-corrected p = 0.064), as well as the concentration of myo-inositol and succinate. By multivariate analysis, the OPLS-DA models built with HR-MAS MR metabolic profiles could clearly discriminate between pure DCIS and DCIS accompanying invasive carcinoma. Our preliminary results suggest that HR-MAS MR metabolomics on breast tissue may be able to distinguish between DCIS lesions with or without an invasive component.
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