ArticleJournal of proteome research2012
Characterization of breast cancer interstitial fluids by TmT labeling, LTQ-Orbitrap Velos mass spectrometry, and pathway analysis.
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 21 papers.
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Who cites it
21 citing papers in PubMed.
- High-throughput proteomics of breast cancer interstitial fluid: identification of tumor subtype-specific serologically relevant biomarkers.Molecular oncology · 2021Trial
- Multi-omics identification of a microbial metabolite driving OXPHOS-mediated epithelial damage in experimental autoimmune encephalomyelitis.BMB reports · 2026Article
- Inhibition of lysosomal LAMTOR1 increases autophagy by suppressing the MTORC1 pathway to ameliorate lipid accumulations in MAFLD.Autophagy · 2025Article
- Bronchoalveolar lavage proteomics in exacerbation of bronchiectasis.BMC pulmonary medicine · 2025Article
- Synphilin-1 regulates mechanotransduction in rigidity sensing through interaction with zyxin.Journal of nanobiotechnology · 2025Article
- Cross-talks between Metabolic and Translational Controls during Beige Adipocyte Differentiation.Nature communications · 2025Article
- Urolithin A Protects Hepatocytes from Palmitic Acid-Induced ER Stress by Regulating Calcium Homeostasis in the MAM.Biomolecules · 2024Article
- Review
- Glycoengineering of Mammalian Expression Systems on a Cellular Level.Advances in biochemical engineering/biotechnology · 2021Article
- Comprehensive analysis of the cardiac proteome in a rat model of myocardial ischemia-reperfusion using a TMT-based quantitative proteomic strategy.Proteome science · 2020Article
- AAV9-Molecular therapy. Methods & clinical development · 2019Article
- 'Omics Approaches to Explore the Breast Cancer Landscape.Frontiers in cell and developmental biology · 2019Review
- Reproducible workflow for multiplexed deep-scale proteome and phosphoproteome analysis of tumor tissues by liquid chromatography-mass spectrometry.Nature protocols · 2018Article
- Superhydrophobic lab-on-chip measures secretome protonation state and provides a personalized risk assessment of sporadic tumour.NPJ precision oncology · 2018Article
- Exosomal amyloid A and lymphatic vessel endothelial hyaluronic acid receptor-1 proteins are associated with disease activity in rheumatoid arthritis.Arthritis research & therapy · 2017Article
- Article
- Identification of proteins responsible for adriamycin resistance in breast cancer cells using proteomics analysis.Scientific reports · 2015Article
- Tumor Interstitial Fluid Formation, Characterization, and Clinical Implications.Frontiers in oncology · 2015Review
- Review
- Identification of potential serum biomarkers for rheumatoid arthritis by high-resolution quantitative proteomic analysis.Inflammation · 2014Article
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Authors and funding
14 authors.
Funding
Abstract
Cancer is currently considered as the end point of numerous genomic and epigenomic mutations and as the result of the interaction of transformed cells within the stromal microenvironment. The present work focuses on breast cancer, one of the most common malignancies affecting the female population in industrialized countries. In this study, we perform a proteomic analysis of bioptic samples from human breast cancer, namely, interstitial fluids and primary cells, normal vs disease tissues, using tandem mass tags (TmT) quantitative mass spectrometry combined with the MudPIT technique. To the best of our knowledge, this work, with over 1700 proteins identified, represents the most comprehensive characterization of the breast cancer interstitial fluid proteome to date. Network analysis was used to identify functionally active networks in the breast cancer associated samples. From the list of differentially expressed genes, we have retrieved the associated functional interaction networks. Many different signaling pathways were found activated, strongly linked to invasion, metastasis development, proliferation, and with a significant cross-talking rate. This pilot study presents evidence that the proposed quantitative proteomic approach can be applied to discriminate between normal and tumoral samples and for the discovery of yet unknown carcinogenesis mechanisms and therapeutic strategies.
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