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A highly sensitive electrochemical sensor based on DNA Y-Junction for detection of estrogen receptor using target protein protection strategy. Anal Chim Acta 2019; 1086:110-115. [DOI: 10.1016/j.aca.2019.08.028] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 07/30/2019] [Accepted: 08/12/2019] [Indexed: 12/16/2022]
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2
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Chen Y, Yang L, Liu J, Chen Z. Estrogen conjugated fluorescent silica nanoparticles as optical probes for breast cancer cells imaging. BIOMICROFLUIDICS 2019; 13:044113. [PMID: 31531151 PMCID: PMC6735662 DOI: 10.1063/1.5117769] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Accepted: 08/15/2019] [Indexed: 06/10/2023]
Abstract
Fluorescent nanoparticles are promising tools for living cancer cell imaging and cancer targeting. In this study, estrogen conjugated dye-doped fluorescent nanoparticles (estrogen conjugated FNPs) were synthesized and characterized. The functionalized nanoparticles with low toxicity have shown high selectivity and sensitivity toward target cells. Based on the specific recognition between the estrogen and the estrogen receptor, estrogen conjugated FNPs have been employed as optical probes for specific targeting of estrogen receptor-positive cancer cells with fluorescence microscopy imaging technology. The results demonstrate that the estrogen conjugated FNPs can effectively recognize breast cancer cells with good sensitivity and exceptional photostability, which would offer a novel approach for the diagnosis of breast cancer cells, as well as a new method in detecting estrogen receptors.
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Affiliation(s)
| | | | - Jing Liu
- Key Laboratory of Combinatorial Biosynthesis and
Drug Discovery (Wuhan University), Ministry of Education, and Wuhan University School of
Pharmaceutical Sciences, Wuhan 430072, China
| | - Zilin Chen
- Key Laboratory of Combinatorial Biosynthesis and
Drug Discovery (Wuhan University), Ministry of Education, and Wuhan University School of
Pharmaceutical Sciences, Wuhan 430072, China
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3
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Labuhn M, Vuaroqueaux V, Fina F, Schaller A, Nanni-Metellus I, Küng W, Eppenberger-Castori S, Martin P, Eppenberger U. Simultaneous Quantitative Detection of Relevant Biomarkers in Breast Cancer by Quantitative Real-Time PCR. Int J Biol Markers 2018. [DOI: 10.1177/172460080602100105] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The assessment of ERα, PgR and HER2 status is routinely performed today to determine the endocrine responsiveness of breast cancer samples. Such determination is usually accomplished by means of immunohistochemistry and in case of HER2 amplification by means of fluorescent in situ hybridization (FISH). The analysis of these markers can be improved by simultaneous measurements using quantitative real-time PCR (Qrt-PCR). In this study we compared Qrt-PCR results for the assessment of mRNA levels of ERα, PgR, and the members of the human epidermal growth factor receptor family, HER1, HER2, HER3 and HER4. The results were obtained in two independent laboratories using two different methods, SYBR Green I and TaqMan probes, and different primers. By linear regression we demonstrated a good concordance for all six markers. The quantitative mRNA expression levels of ERα, PgR and HER2 also strongly correlated with the respective quantitative protein expression levels prospectively detected by EIA in both laboratories. In addition, HER2 mRNA expression levels correlated well with gene amplification detected by FISH in the same biopsies. Our results indicate that both Qrt-PCR methods were robust and sensitive tools for routine diagnostics and consistent with standard methodologies. The developed simultaneous assessment of several biomarkers is fast and labor effective and allows optimization of the clinical decision-making process in breast cancer tissue and/or core biopsies.
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Affiliation(s)
| | | | - F. Fina
- Laboratoire de Transfert d'Oncologie Biologique, Assistance - Publique Hôpitaux de Marseille - France
| | - A. Schaller
- Abteilung für Humangenetik, Medizinische Universitäts-Kinderklinik, Bern - Switzerland
| | - I. Nanni-Metellus
- Laboratoire de Transfert d'Oncologie Biologique, Assistance - Publique Hôpitaux de Marseille - France
| | - W. Küng
- Department of Research and Gynecology, University Clinics, Basel - Switzerland
| | | | - P.M. Martin
- Laboratoire de Transfert d'Oncologie Biologique, Assistance - Publique Hôpitaux de Marseille - France
| | - U. Eppenberger
- Stiftung Tumorbank Basel, STB, Riehen - Switzerland
- Department of Research and Gynecology, University Clinics, Basel - Switzerland
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4
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Chen Y, Britton D, Wood ER, Brantley S, Fournier M, Wloch M, Williams VL, Johnson J, Magliocco A, Pike I, Koomen JM. Quantification of Breast Cancer Protein Biomarkers at Different Expression Levels in Human Tumors. Methods Mol Biol 2018; 1788:251-268. [PMID: 29243084 PMCID: PMC7771335 DOI: 10.1007/7651_2017_113] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Liquid chromatography-selected reaction monitoring (LC-SRM) mass spectrometry has developed into a versatile tool for quantification of proteins with a wide range of applications in basic science, translational research, and clinical patient assessment. This strategy uniquely complements traditional pathology approaches, like hematoxylin and eosin (H&E) staining and immunohistochemistry (IHC). The multiplexing capabilities offered by mass spectrometry are currently unmatched by other techniques. However, quantification of biomarkers in tissue specimens without the other data obtained from H&E-stained slides or IHC, including tumor cellularity or percentage of positively stained cells inter alia, may not provide as much information that is needed to fully understand tumor biology or properly assess the patient. Therefore, additional characterization of the tissue proteome is needed, which in turn requires the ability to assess protein markers across a wide range of expression levels from a single sample. This protocol provides an example of multiplexed analysis in breast tumor tissue quantifying specific biomarkers, specifically estrogen receptor, progesterone receptor, and the HER2 receptor tyrosine kinase, in combination with other proteins that can report on tissue content and other aspects of tumor biology.
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Affiliation(s)
- Yi Chen
- Molecular Oncology/Proteomics SRB3, Moffitt Cancer Center, Tampa, FL, USA
| | | | - Elizabeth R Wood
- Molecular Oncology/Proteomics SRB3, Moffitt Cancer Center, Tampa, FL, USA
| | | | - Michelle Fournier
- Molecular Oncology/Proteomics SRB3, Moffitt Cancer Center, Tampa, FL, USA
| | - Marek Wloch
- Molecular Oncology/Proteomics SRB3, Moffitt Cancer Center, Tampa, FL, USA
| | - Vonetta L Williams
- Molecular Oncology/Proteomics SRB3, Moffitt Cancer Center, Tampa, FL, USA
| | - Joseph Johnson
- Molecular Oncology/Proteomics SRB3, Moffitt Cancer Center, Tampa, FL, USA
| | - Anthony Magliocco
- Molecular Oncology/Proteomics SRB3, Moffitt Cancer Center, Tampa, FL, USA
| | - Ian Pike
- Proteome Sciences, plc, Cobham, UK
| | - John M Koomen
- Molecular Oncology/Proteomics SRB3, Moffitt Cancer Center, Tampa, FL, USA.
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Chen Y, Britton D, Wood ER, Brantley S, Magliocco A, Pike I, Koomen JM. Quantitative proteomics of breast tumors: Tissue quality assessment to clinical biomarkers. Proteomics 2017; 17. [PMID: 28127872 DOI: 10.1002/pmic.201600335] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2016] [Revised: 11/11/2016] [Accepted: 01/23/2017] [Indexed: 01/07/2023]
Abstract
Liquid chromatography-selected reaction monitoring mass spectrometry (LC-SRM) is not only a proven tool for clinical chemistry, but also a versatile method to enhance the capability to quantify biomarkers for tumor biology research. As the treatment of cancer continues to evolve, the ability to assess multiple biomarkers to assign cancer phenotypes based on the genetic background and the signaling of the individual tumor becomes paramount to our ability to treat the patient. In breast cancer, the American Society of Clinical Oncology has defined biomarkers for patient assessment to guide selection of therapy: estrogen receptor, progesterone receptor, and the HER2/Neu receptor tyrosine kinase; therefore, these proteins were selected for LC-SRM assay development. Detailed molecular characterization of these proteins is necessary for patient treatment, so expression and phosphorylation assays have been developed and applied. In addition, other LC-SRM assays were developed to further evaluate tumor biology (e.g. Ki-67 for proliferation and vimentin for tumor aggressiveness related to the epithelial-to-mesenchymal transition). These measurements combined with biomarkers for tissue quality and histological content are implemented in a three-tier multiplexed assay platform, which is translated from cell line models into frozen tumor tissues banked from breast cancer patients.
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Affiliation(s)
- Yi Chen
- Molecular Oncology, Moffitt Cancer Center, Tampa, FL, USA
| | | | | | | | | | - Ian Pike
- Proteome Sciences plc., Cobham, UK
| | - John M Koomen
- Molecular Oncology, Moffitt Cancer Center, Tampa, FL, USA.,Chemical Biology and Molecular Medicine, Moffitt Cancer Center, Tampa, FL, USA
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Estrogen receptor α determination in serum, cell lysates and breast cancer cells using an amperometric magnetoimmunosensing platform. SENSING AND BIO-SENSING RESEARCH 2016. [DOI: 10.1016/j.sbsr.2016.01.005] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
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7
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An exonuclease III protection-based electrochemical method for estrogen receptor assay. Int J Mol Sci 2013; 14:10298-306. [PMID: 23681011 PMCID: PMC3676839 DOI: 10.3390/ijms140510298] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2013] [Revised: 04/25/2013] [Accepted: 05/10/2013] [Indexed: 12/23/2022] Open
Abstract
Estrogen receptor (ER), expressed in approximately 80% of primary breast cancer cells, has proven to be a valuable predictive factor of the disease. Herein, by making use of the specific binding of ER to its DNA response elements, we propose an Exonuclease III (Exo III) protection-based electrochemical method for detecting ER proteins. In this assay, the presence of ER can protect the duplex DNA molecules immobilized on an electrode surface from Exo III-catalyzed digestion, resulting in an increased electrochemical signal. Experimental results have revealed that the proposed method can allow the quantification of ER in the range of 0.5 to 100 nM with a satisfactory detection limit of 0.38 nM. Furthermore, since this approach can also be employed to detect ER directly in nuclear extracts, it may be of great use in biomedical applications in the future.
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Buergy D, Weber T, Maurer GD, Mudduluru G, Medved F, Leupold JH, Brauckhoff M, Post S, Dralle H, Allgayer H. Urokinase receptor, MMP-1 and MMP-9 are markers to differentiate prognosis, adenoma and carcinoma in thyroid malignancies. Int J Cancer 2009; 125:894-901. [PMID: 19480010 DOI: 10.1002/ijc.24462] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The identification of high-risk patients with thyroid cancer and the preoperative differentiation between follicular adenoma and carcinoma remain clinically challenging. Our study was conducted to analyze whether the quantification of matrix metalloproteinases (MMPs) and urokinase-type plasminogen activator receptor (u-PAR) and transcription factor binding to the u-PAR promoter improve prognostic predictability and differential diagnosis of thyroid tumors. Tumor/normal tissue was collected from 69 prospectively followed patients with thyroid carcinomas (papillary, medullary, follicular and anaplastic, PTC, MTC, FTC and ATC) or follicular adenomas. U-PAR, MMP-1, MMP-7 and MMP-9 amounts were determined by ELISA, and transcription factor binding was determined by electrophoretic mobility shift assay. Binding of transcription factors to the u-PAR promoter was observed, but not associated with u-PAR expression. Carcinomas except MTC expressed significantly more u-PAR/MMPs than adenomas/normal tissues, this being associated with advanced pT- or M-stages. MMP-1 and MMP-9 were significantly higher in follicular carcinomas than in adenomas. In carcinomas, high u-PAR-gene expression correlated significantly with high MMP-9, the latter being associated with MMP-7 in normal tissues. Poor survival in differentiated tumors was associated in trend (p = 0.07); poor survival of all patients (p = 0.043) and especially of patients with carcinomas of follicular origin (including ATC), but not medullary carcinomas, were significantly associated with high u-PAR-protein (p = 0.015). Quantification of u-PAR is of prognostic relevance in thyroid carcinomas of non-c-cell origin, and u-PAR in part may be regulated nontranscriptionally in thyroid cancers. This is the first study to suggest MMP-1/-9 as significant differentiation markers between follicular adenoma and follicular carcinoma.
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Affiliation(s)
- Daniel Buergy
- Department of Experimental Surgery and Molecular Oncology of Solid Tumors, Mannheim Faculty, University of Heidelberg, and DKFZ Heidelberg, Mannheim, Germany
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Campbell CG, Borglin SE, Green FB, Grayson A, Wozei E, Stringfellow WT. Biologically directed environmental monitoring, fate, and transport of estrogenic endocrine disrupting compounds in water: A review. CHEMOSPHERE 2006; 65:1265-80. [PMID: 16979218 DOI: 10.1016/j.chemosphere.2006.08.003] [Citation(s) in RCA: 236] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2006] [Revised: 07/28/2006] [Accepted: 08/03/2006] [Indexed: 05/11/2023]
Abstract
Endocrine disrupting compounds (EDCs) are contaminants that may be hormonally active at low concentrations and are emerging as a major concern for water quality. Estrogenic EDCs (e-EDCs) are a subclass of EDCs that, when organisms are exposed to them, function as estrogens. Given that there are numerous e-EDCs that can negatively affect humans and wildlife, general screening techniques like biologically based assays (BBAs) may provide major advantages by estimating the total estrogenic effects of many e-EDCs in the environment. These techniques may potentially be adapted for field portable biologically directed sampling and analyses. This article summarizes available BBAs used to measure estrogenic e-EDCs in the environmental samples and also presents results relating to fate and transport of e-EDCs. Estrogenic EDCs appear to be almost ubiquitous in the environment, despite low solubility and high affinity of organic matter. Potential transport mechanisms may include: (1) transport of more soluble precursors, (2) colloid facilitated transport, (3) enhanced solubility through elevated pH, and (4) the formation of micelles by longer-chain ethoxylates. Due to their persistent and ubiquitous nature, source control strategies for e-EDCs may reduce influent concentration to wastewater treatment plants so that the post treatment effluent will decrease concentrations to estrogenically inactive levels. Alternatively if source reduction is not possible, then more testing is needed on tertiary treatment technologies and treatment efficiencies for e-EDCs. There is still a need for research on remediation and restoration approaches for habitats disturbed by elevated e-EDC concentrations.
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Affiliation(s)
- Chris G Campbell
- Water Guidance and Monitoring Group, Environmental Protection Department, Lawrence Livermore National Laboratory, Livermore, CA 94551, USA.
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