Evaluation of positivity of estrogen receptors on breast cancer tissue through computerized morphometric analysis

2021 ◽  
Author(s):  
Paola Evelyn Botega ◽  
Mauren Abreu de Souza ◽  
Paula Karina Hembecker ◽  
Jonathan de Oliveira ◽  
Sergio Ossamu Ioshii
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptors ◽  
Morphometric Analysis ◽  
Breast Cancer Tissue ◽  
Cancer Tissue

Cytohistochemical studies on estrogen receptors of breast cancer tissue using an immunoperoxidase technique

1985 ◽  
Vol 15 (3) ◽  
pp. 195-199 ◽  
Author(s):  
Zenji Iwasa ◽  
Kenjiro Matsumoto ◽  
Munehisa Yamato ◽  
Masayuki Yasutomi
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptors ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Immunoperoxidase Technique

Differential expression pattern of estrogen receptors, aromatase, and sulfotransferase in breast cancer tissue and corresponding lymph node metastases

Tumor Biology ◽  
2010 ◽  
Vol 32 (3) ◽  
pp. 501-508 ◽  
Author(s):  
Daphne Gschwantler-Kaulich ◽  
Anneliese Fink-Retter ◽  
Klaus Czerwenka ◽  
Gernot Hudelist ◽  
Axel Kaulich ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Estrogen Receptors ◽  
Differential Expression ◽  
Expression Pattern ◽  
Lymph Node Metastases ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Differential Expression Pattern ◽  
Node Metastases

Estrogen receptors in human breast cancer tissue

1972 ◽  
Vol 113 (3) ◽  
pp. 377-382 ◽  
Author(s):  
H. Maass ◽  
B. Engel ◽  
H. Hohmeister ◽  
F. Lehmann ◽  
G. Trams
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptors ◽  
Human Breast Cancer ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Human Breast ◽  
Human Breast Cancer Tissue

scholarly journals The use of monoclonal antibodies to estrogen receptors (ER) for immunoperoxidase detection of ER in paraffin sections of human breast cancer tissue.

1985 ◽  
Vol 33 (2) ◽  
pp. 87-92 ◽  
Author(s):  
H S Poulsen ◽  
L Ozzello ◽  
W J King ◽  
G L Greene
Keyword(s):  
Breast Cancer ◽  
Monoclonal Antibodies ◽  
Estrogen Receptors ◽  
Human Breast Cancer ◽  
Breast Cancer Tissue ◽  
Immunoperoxidase Staining ◽  
Cancer Tissue ◽  
Human Breast ◽  
Paraffin Sections ◽  
Human Breast Cancer Tissue

Two monoclonal antibodies against MCF-7 human estrogen receptors were used for immunoperoxidase staining of paraffin sections of human breast cancer tissue. The staining was predominantly located in the nucleus of epithelial cells. Variation in the staining intensity was observed among individual cells. A significant positive correlation between the number of positively stained cells and cytosol estrogen receptor content (fmol of bound estrogen/mg of protein) was observed. The potential and the limitations of the present techniques are discussed.

Pitfalls in the dextran-coated charcoal assay of estrogen receptors in breast cancer tissue

1985 ◽  
Vol 22 (1) ◽  
pp. 39-45 ◽  
Author(s):  
Kim S.I. Pettersson ◽  
Riitta M. Vanharanta ◽  
Juanita R.-M. Söderholm
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptors ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Dextran Coated Charcoal

scholarly journals Indication of high lipid content in epithelial-mesenchymal transitions of breast tissues

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Siti Norbaini Sabtu ◽  
S. F. Abdul Sani ◽  
L. M. Looi ◽  
S. F. Chiew ◽  
Dharini Pathmanathan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Multivariate Analysis ◽  
Nucleic Acids ◽  
Raman Spectra ◽  
Cancer Progression ◽  
Component Analysis ◽  
Breast Cancer Tissue ◽  
Metabolic Changes ◽  
Cancer Tissue

AbstractThe epithelial-mesenchymal transition (EMT) is a crucial process in cancer progression and metastasis. Study of metabolic changes during the EMT process is important in seeking to understand the biochemical changes associated with cancer progression, not least in scoping for therapeutic strategies aimed at targeting EMT. Due to the potential for high sensitivity and specificity, Raman spectroscopy was used here to study the metabolic changes associated with EMT in human breast cancer tissue. For Raman spectroscopy measurements, tissue from 23 patients were collected, comprising non-lesional, EMT and non-EMT formalin-fixed and paraffin embedded breast cancer samples. Analysis was made in the fingerprint Raman spectra region (600–1800 cm−1) best associated with cancer progression biochemical changes in lipid, protein and nucleic acids. The ANOVA test followed by the Tukey’s multiple comparisons test were conducted to see if there existed differences between non-lesional, EMT and non-EMT breast tissue for Raman spectroscopy measurements. Results revealed that significant differences were evident in terms of intensity between the non-lesional and EMT samples, as well as the EMT and non-EMT samples. Multivariate analysis involving independent component analysis, Principal component analysis and non-negative least square were used to analyse the Raman spectra data. The results show significant differences between EMT and non-EMT cancers in lipid, protein, and nucleic acids. This study demonstrated the capability of Raman spectroscopy supported by multivariate analysis in analysing metabolic changes in EMT breast cancer tissue.

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