scholarly journals Identification of Molecular Basis for Objective Discrimination of Breast Cancer Cells (MCF-7) from Normal Human Mammary Epithelial Cells by Raman Microspectroscopy and Multivariate Curve Resolution Analysis

2021 ◽  
Vol 22 (2) ◽  
pp. 800
Author(s):  
Keita Iwasaki ◽  
Asuka Araki ◽  
C Murali Krishna ◽  
Riruke Maruyama ◽  
Tatsuyuki Yamamoto ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Mammary Epithelial Cells ◽  
Mammary Epithelial ◽  
Multivariate Curve Resolution ◽  
Human Mammary Epithelial ◽  
Resolution Analysis ◽  
Raman Spectral ◽  
Mcf 7

Raman spectroscopy (RS), a non-invasive and label-free method, has been suggested to improve accuracy of cytological and even histopathological diagnosis. To our knowledge, this novel technique tends to be employed without concrete knowledge of molecular changes in cells. Therefore, identification of Raman spectral markers for objective diagnosis is necessary for universal adoption of RS. As a model study, we investigated human mammary epithelial cells (HMEpC) and breast cancer cells (MCF-7) by RS and employed various multivariate analyses (MA) including principal components analysis (PCA), linear discriminant analysis (LDA), and support vector machine (SVM) to estimate diagnostic accuracy. Furthermore, to elucidate the underlying molecular changes in cancer cells, we utilized multivariate curve resolution analysis–alternating least squares (MCR-ALS) with non-negative constraints to extract physically meaningful spectra from complex cellular data. Unsupervised PCA and supervised MA, such as LDA and SVM, classified HMEpC and MCF-7 fairly well with high accuracy but without revealing molecular basis. Employing MCR-ALS analysis we identified five pure biomolecular spectra comprising DNA, proteins and three independent unsaturated lipid components. Relative abundance of lipid 1 seems to be strictly regulated between the two groups of cells and could be the basis for excellent discrimination by chemometrics-assisted RS. It was unambiguously assigned to linoleate rich glyceride and therefore serves as a Raman spectral marker for reliable diagnosis. This study successfully identified Raman spectral markers and demonstrated the potential of RS to become an excellent cytodiagnostic tool that can both accurately and objectively discriminates breast cancer from normal cells.

Breast Cancer Diagnosed by MRI Using Mesoporous TiO2-Coated (Fe3O4) Nanoparticles

2020 ◽  
Vol 20 (10) ◽  
pp. 6561-6567 ◽  
Author(s):  
Bo Zheng ◽  
Minghua Xue ◽  
Xinyi Zhang ◽  
Ning Tian ◽  
Dongmei Wang
Keyword(s):  
Breast Cancer ◽  
Glucose Metabolism ◽  
Cancer Cells ◽  
Mammary Epithelial Cells ◽  
Glucose Consumption ◽  
Mammary Epithelial ◽  
Blue Staining ◽  
Human Mammary Epithelial ◽  
Significant Uptake ◽  
Mcf 7

Objective: This study aimed to determine the effects of dimer captosuccinic acid-coated Fe3O4 (super paramagnetic) nanoparticles (NP) on 2-deoxy-d-glucose in targeted cancer cells with high rates of glucose metabolism. Methods: We prepared Fe3O4@DMSA NP and 2-DG-conjugated Fe3O4@DMSA NP, γ-FE, O, and @DMSA-DG NP. Glucose consumption in MDA-MB-231 and MCF-7 breast cancer cells was determined using γ-Fe2O3@DMSA NP or Fe3O4@DMSA-DG NP, and absorption was tested using Prussian blue staining, ultraviolet colorimetry, and magnetic resonance imaging. Results: Glucose consumption was the highest in MDA-MB-231, and the lowest in human mammary epithelial cells (HMEPiC). The significant uptake of Fe2O3@DMSA-DG NP by MDA-MB-231 and MCF-7 cells within two hours was inhibited by glucose. The uptake of Fe3O4@DMSA-DG NP was significantly higher in MDA-MB-231 than in MCF-7 cells, whereas Fe3O4@DMSA NP was not obviously uptaken by either cell line. Absorption was also not evident in HMEPiC incubated with Fe3O4@DMSA-DG NP and Fe3O4@DMSA NP. Conclusions: The tumor targeting efficacy of 2-DG coated Fe3O4@DMSA NP was improved over Fe3O4,@DMSA NP in cancer cells with high rates of glucose metabolism.

scholarly journals Revealing Glycoproteins in the Secretome of MCF-7 Human Breast Cancer Cells

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Aik-Aun Tan ◽  
Wai-Mei Phang ◽  
Subash C. B. Gopinath ◽  
Onn H. Hashim ◽  
Lik Voon Kiew ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Cells ◽  
Mammary Epithelial Cells ◽  
Cancer Cell Line ◽  
Negative Control ◽  
Mammary Epithelial ◽  
Human Breast ◽  
Human Mammary Epithelial ◽  
Alpha 1 Antitrypsin ◽  
Mcf 7

Breast cancer is one of the major issues in the field of oncology, reported with a higher prevalence rate in women worldwide. In attempt to reveal the potential biomarkers for breast cancer, the findings of differentially glycosylated haptoglobin and osteonectin in previous study have drawn our attention towards glycoproteins of secretome from the MCF-7 cancer cell line. In the present study, further analyses were performed on the medium of MCF-7 cells by subjecting it to two-dimensional analyses followed by image analysis in contrast to the medium of human mammary epithelial cells (HMEpC) as a negative control. Carboxypeptidase A4 (CPA4), alpha-1-antitrypsin (AAT), haptoglobin (HP), and HSC70 were detected in the medium of MCF-7, while only CPA4 and osteonectin (ON) were detected in HMEpC medium. In addition, CPA4 was detected as upregulated in the MCF-7 medium. Further analysis by lectin showed that CPA4, AAT, HP, and HSC70 were secreted as N-glycan in the medium of MCF-7, with HP also showing differentially N-glycosylated isoforms. For the HMEpC, only CPA4 was detected as N-glycan. No O-glycan was detected in the medium of HMEpC but MCF-7 expressed O-glycosylated CPA4 and HSC70. All these revealed that glycoproteins could be used as glycan-based biomarkers for the prognosis of breast cancer.

scholarly journals ZFHX3 Promotes the Proliferation and Tumor Growth of ER-Positive Breast Cancer Cells Likely by Enhancing Stem-Like Features and MYC and TBX3 Transcription

Cancers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3415
Author(s):  
Ge Dong ◽  
Gui Ma ◽  
Rui Wu ◽  
Jinming Liu ◽  
Mingcheng Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Growth ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Molecular Mechanisms ◽  
Mammary Epithelial Cells ◽  
Progesterone Receptors ◽  
Mammary Epithelial ◽  
Luciferase Reporter ◽  
Mammosphere Formation

Breast cancer is a common malignancy, but the understanding of its cellular and molecular mechanisms is limited. ZFHX3, a transcription factor with many homeodomains and zinc fingers, suppresses prostatic carcinogenesis but promotes tumor growth of liver cancer cells. ZFHX3 regulates mammary epithelial cells’ proliferation and differentiation by interacting with estrogen and progesterone receptors, potent breast cancer regulators. However, whether ZFHX3 plays a role in breast carcinogenesis is unknown. Here, we found that ZFHX3 promoted the proliferation and tumor growth of breast cancer cells in culture and nude mice; and higher expression of ZFHX3 in human breast cancer specimens was associated with poorer prognosis. The knockdown of ZFHX3 in ZFHX3-high MCF-7 cells decreased, and ZFHX3 overexpression in ZFHX3-low T-47D cells increased the proportion of breast cancer stem cells (BCSCs) defined by mammosphere formation and the expression of CD44, CD24, and/or aldehyde dehydrogenase 1. Among several transcription factors that have been implicated in BCSCs, MYC and TBX3 were transcriptionally activated by ZFHX3 via promoter binding, as demonstrated by luciferase-reporter and ChIP assays. These findings suggest that ZFHX3 promotes breast cancer cells’ proliferation and tumor growth likely by enhancing BCSC features and upregulating MYC, TBX3, and others.

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