ArticleJournal of proteome research2012
Glycoprotein profiles of human breast cells demonstrate a clear clustering of normal/benign versus malignant cell lines and basal versus luminal cell lines.
Article in Journal of proteome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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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.
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Who cites it
17 citing papers in PubMed, 29 citations in OpenAlex.
- Aptamer Targets Triple-Negative Breast Cancer through Specific Binding to Surface CD49c.Cancers · 2022Article
- Glycosylation Modulates Plasma Membrane Trafficking of CD24 in Breast Cancer Cells.International journal of molecular sciences · 2021Article
- Mapping human N-linked glycoproteins and glycosylation sites using mass spectrometry.Trends in analytical chemistry : TRAC · 2019Article
- Article
- Protein biomarkers for subtyping breast cancer and implications for future research.Expert review of proteomics · 2018Review
- Global analysis of glycoproteins identifies markers of endotoxin tolerant monocytes and GPR84 as a modulator of TNFα expression.Scientific reports · 2017Article
- Glycoproteins in Claudin-Low Breast Cancer Cell Lines Have a Unique Expression Profile.Journal of proteome research · 2017Article
- Current strategies and findings in clinically relevant post-translational modification-specific proteomics.Expert review of proteomics · 2015Review
- Using a cell line breast cancer progression system to identify biomarker candidates.Journal of proteomics · 2014Article
- N-linked glycosylation enrichment for in-depth cell surface proteomics of diffuse large B-cell lymphoma subtypes.Molecular & cellular proteomics : MCP · 2014Article
- Mass spectrometry-based N-glycoproteomics for cancer biomarker discovery.Clinical proteomics · 2014Review
- Systemic alteration of cell-surface and secreted glycoprotein expression in malignant breast cancer cell lines.Glycobiology · 2013Article
- Quantification of the N-glycosylated secretome by super-SILAC during breast cancer progression and in human blood samples.Molecular & cellular proteomics : MCP · 2013Article
- Spontaneous epithelial-mesenchymal transition and resistance to HER-2-targeted therapies in HER-2-positive luminal breast cancer.PloS one · 2013Article
- Identification of N-glycosylation in hepatocellular carcinoma patients' serum with a comparative proteomic approach.PloS one · 2013Article
- Overcoming challenges and opening new opportunities in glycoproteomics.Biomolecules · 2013Article
- Mining the Breast Cancer Proteome for Predictors of Drug Sensitivity.Journal of proteomics & bioinformaticsArticle
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Gene expression profiling has defined molecular subtypes of breast cancer including those identified as luminal and basal. To determine if glycoproteins distinguish various subtypes of breast cancer, we obtained glycoprotein profiles from 14 breast cell lines. Unsupervised hierarchical cluster analysis demonstrated that the glycoprotein profiles obtained can serve as molecular signatures to classify subtypes of breast cancer, as well as to distinguish normal and benign breast cells from breast cancer cells. Statistical analyses were used to identify glycoproteins that are overexpressed in normal versus cancer breast cells, and those that are overexpressed in luminal versus basal breast cancer. Among the glycoproteins distinguishing normal breast cells from cancer cells are several proteins known to be involved in cell adhesion, including proteins previously identified as being altered in breast cancer. Basal breast cancer cell lines overexpressed a number of CD antigens, including several integrin subunits, relative to luminal breast cancer cell lines, whereas luminal breast cancer cells overexpressed carbonic anhydrase 12, clusterin, and cell adhesion molecule 1. The differential expression of glycoproteins in these breast cancer cell lines readily allows the classification of the lines into normal, benign, malignant, basal, and luminal groups.
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Registered trials
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