ArticlePloS one2012
The lipid phenotype of breast cancer cells characterized by Raman microspectroscopy: towards a stratification of malignancy.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.
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Who cites it
71 citing papers in PubMed, 129 citations in OpenAlex.
- Identification and functional validation of lipid droplet-associated prognostic biomarkers in breast cancer via integrative multi-omics and machine learning approaches.International journal of clinical oncology · 2026Article
- Combining quantum cascade lasers and plasmonic metasurfaces to monitorNanophotonics (Berlin, Germany) · 2025Article
- NONO Maintains SREBP-Regulated Cholesterol Biosynthesis via RNA Binding in Neuroblastoma.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
- Qualitative Evaluation of Binding States of Lipid Membranes to Mesoporous Silica Microspheres via Single-Particle Inductively Coupled Plasma Mass Spectrometry.Molecules (Basel, Switzerland) · 2025Article
- Prominosomes - a particular class of extracellular vesicles containing prominin-1/CD133?Journal of nanobiotechnology · 2025Review
- Combined SERS-Raman screening of HER2-overexpressing or silenced breast cancer cell lines.Journal of nanobiotechnology · 2024Article
- Integration of pan-omics technologies and three-dimensional in vitro tumor models: an approach toward drug discovery and precision medicine.Molecular cancer · 2024Review
- Hepatocellular carcinoma patients serum modulates the regenerative capacities of adipose mesenchymal stromal cells.Heliyon · 2024Article
- Selective autophagy in cancer: mechanisms, therapeutic implications, and future perspectives.Molecular cancer · 2024Review
- High-content stimulated Raman histology of human breast cancer.Theranostics · 2024Article
- Optical diffraction tomography and Raman spectroscopy reveal distinct cellular phenotypes during white and brown adipocyte differentiation.Biosensors & bioelectronics · 2023Article
- The Emerging Role of Raman Spectroscopy as an Omics Approach for Metabolic Profiling and Biomarker Detection toward Precision Medicine.Chemical reviews · 2023Review
- Label-Free Cytometric Evaluation of Mitosis via Stimulated Raman Scattering Microscopy and Spectral Phasor Analysis.Analytical chemistry · 2023Article
- Article
- Riboflavin depletion promotes longevity and metabolic hormesis in Caenorhabditis elegans.Aging cell · 2022Article
- Advanced DNA Zipper Probes for Detecting Cell Membrane Lipid Domains.Nano letters · 2022Article
- Metformin resistant MDA-MB-468 cells exhibit EMT-like phenotype and increased migration capacity.Molecular biology reports · 2022Article
- ABCA1 Expression Is Upregulated in an EMT in Breast Cancer Cell Lines via MYC-Mediated De-Repression of Its Proximal Ebox Element.Biomedicines · 2022Article
- Lipid Droplets in Cancer: From Composition and Role to Imaging and Therapeutics.Molecules (Basel, Switzerland) · 2022Review
- Lipid profiling using Raman and a modified support vector machine algorithm.Journal of Raman spectroscopy : JRS · 2021Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although molecular classification brings interesting insights into breast cancer taxonomy, its implementation in daily clinical care is questionable because of its expense and the information supplied in a single sample allocation is not sufficiently reliable. New approaches, based on a panel of small molecules derived from the global or targeted analysis of metabolic profiles of cells, have found a correlation between activation of de novo lipogenesis and poorer prognosis and shorter disease-free survival for many tumors. We hypothesized that the lipid content of breast cancer cells might be a useful indirect measure of a variety of functions coupled to breast cancer progression. Raman microspectroscopy was used to characterize metabolism of breast cancer cells with different degrees of malignancy. Raman spectra from MDA-MB-435, MDA-MB-468, MDA-MB-231, SKBR3, MCF7 and MCF10A cells were acquired with an InVia Raman microscope (Renishaw) with a backscattered configuration. We used Principal Component Analysis and Partial Least Squares Discriminant Analyses to assess the different profiling of the lipid composition of breast cancer cells. Characteristic bands related to lipid content were found at 3014, 2935, 2890 and 2845 cm(-1), and related to lipid and protein content at 2940 cm(-1). A classificatory model was generated which segregated metastatic cells and non-metastatic cells without basal-like phenotype with a sensitivity of 90% and a specificity of 82.1%. Moreover, expression of SREBP-1c and ABCA1 genes validated the assignation of the lipid phenotype of breast cancer cells. Indeed, changes in fatty acid unsaturation were related with the epithelial-to-mesenchymal transition phenotype. Raman microspectroscopy is a promising technique for characterizing and classifying the malignant phenotype of breast cancer cells on the basis of their lipid profiling. The algorithm for the discrimination of metastatic ability is a first step towards stratifying breast cancer cells using this rapid and reagent-free tool.
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