Automated scoring of CerbB2/HER2 receptors using histogram based analysis of immunohistochemistry breast cancer tissue images

2021 ◽  
Vol 69 ◽  
pp. 102924
Author(s):  
Kaan Aykut Kabakçı ◽  
Aslı Çakır ◽  
İlknur Türkmen ◽  
Behçet Uğur Töreyin ◽  
Abdulkerim Çapar
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Automated Scoring

scholarly journals Performance of automated scoring of ER, PR, HER2, CK5/6 and EGFR in breast cancer tissue microarrays in the Breast Cancer Association Consortium

2014 ◽  
Vol 1 (1) ◽  
pp. 18-32 ◽  
Author(s):  
William J Howat ◽  
Fiona M Blows ◽  
Elena Provenzano ◽  
Mark N Brook ◽  
Lorna Morris ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tissue Microarrays ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Automated Scoring ◽  
Breast Cancer Association Consortium

scholarly journals High‐throughput automated scoring of Ki67 in breast cancer tissue microarrays from the Breast Cancer Association Consortium

2016 ◽  
Vol 2 (3) ◽  
pp. 138-153 ◽  
Author(s):  
Mustapha Abubakar ◽  
William J Howat ◽  
Frances Daley ◽  
Lila Zabaglo ◽  
Leigh‐Anne McDuffus ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Throughput ◽  
Tissue Microarrays ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Automated Scoring ◽  
Breast Cancer Association Consortium

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.

Quantitative estimation of BRCA1 protein expression in breast cancer tissue using the method of flow cytometry

2016 ◽  
Vol 61 ◽  
pp. S183
Author(s):  
E. Shestakova ◽  
E. Dudko ◽  
A. Grishanina ◽  
V. Kirsanov ◽  
N. Vichljantzeva ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Flow Cytometry ◽  
Protein Expression ◽  
Quantitative Estimation ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Brca1 Protein

Detection of DNA fragmentation in human breast cancer tissue by an antibody specific to single-stranded DNA

Breast Cancer ◽  
1998 ◽  
Vol 5 (1) ◽  
pp. 47-52 ◽  
Author(s):  
Shunzo Kobayashi ◽  
Hirotaka Iwase ◽  
Yoshihiko Kawarada ◽  
Naoyuki Miura ◽  
Toshihiro Sugiyama ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Dna Fragmentation ◽  
Human Breast Cancer ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Human Breast ◽  
Human Breast Cancer Tissue ◽  
Single Stranded Dna

Evaluation of photodynamic therapy efficiency using an in vitro three-dimensional microfluidic breast cancer tissue model

Lab on a Chip ◽  
2015 ◽  
Vol 15 (3) ◽  
pp. 735-744 ◽  
Author(s):  
Yamin Yang ◽  
Xiaochuan Yang ◽  
Jin Zou ◽  
Chao Jia ◽  
Yue Hu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gold Nanoparticles ◽  
Photodynamic Therapy ◽  
Three Dimensional ◽  
Therapeutic Agents ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Tissue Model

A microfluidic-based in vitro three-dimensional (3D) breast cancer tissue model was established for determining the efficiency of photodynamic therapy (PDT) with therapeutic agents (photosensitizer and gold nanoparticles) under various irradiation conditions.

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