P-cadherin functional role is dependent on E-cadherin cellular context: a proof of concept using the breast cancer model

2013 ◽  
Vol 229 (5) ◽  
pp. 705-718 ◽  
Author(s):  
Ana Sofia Ribeiro ◽  
Bárbara Sousa ◽  
Laura Carreto ◽  
Nuno Mendes ◽  
Ana Rita Nobre ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Functional Role ◽  
Proof Of Concept ◽  
Cancer Model ◽  
Breast Cancer Model ◽  
Cellular Context ◽  
E Cadherin

scholarly journals Flavin Adenine Dinucleotide (FAD) Pegylated (PEG)-Complexes: Proof of Concept (PoC) of theranostic tool on a Murine Breast Cancer Model

2022 ◽  
Vol 6 (2) ◽  
pp. 175-183
Author(s):  
Celia Arib ◽  
Hui Liu ◽  
Qiqian Liu ◽  
Anne-Marie Cieutat ◽  
Didier Paleni ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Flavin Adenine Dinucleotide ◽  
Proof Of Concept ◽  
Cancer Model ◽  
Breast Cancer Model

Lifelong isoflavone exposure and its implications in an experimental breast cancer model

2015 ◽  
Vol 122 (03) ◽  
Author(s):  
FJ Möller ◽  
K Wende ◽  
O Zierau ◽  
MC Bosland ◽  
MH Muders ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Model ◽  
Breast Cancer Model

Systemic Immunotherapy with Micellar Resiquimod–Polymer Conjugates Triggers a Robust Antitumor Response in a Breast Cancer Model

2021 ◽  
pp. 2100008
Author(s):  
Hamilton Kakwere ◽  
Hua Zhang ◽  
Elizabeth S. Ingham ◽  
Marina Nura‐Raie ◽  
Spencer K. Tumbale ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Model ◽  
Antitumor Response ◽  
Polymer Conjugates ◽  
Breast Cancer Model ◽  
Systemic Immunotherapy

scholarly journals Thermal analysis of laser irradiation-gold nanorod combinations at 808 nm, 940 nm, 975 nm and 1064 nm wavelengths in breast cancer model

2021 ◽  
Vol 38 (1) ◽  
pp. 1099-1110
Author(s):  
Leonardo Bianchi ◽  
Rachael Mooney ◽  
Yvonne R. Cornejo ◽  
Emiliano Schena ◽  
Jacob M. Berlin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Thermal Analysis ◽  
Laser Irradiation ◽  
Gold Nanorod ◽  
Cancer Model ◽  
Breast Cancer Model

scholarly journals Integrated transcription factor profiling with transcriptome analysis identifies L1PA2 transposons as global regulatory modulators in a breast cancer model

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jiayue-Clara Jiang ◽  
Joseph A. Rothnagel ◽  
Kyle R. Upton
Keyword(s):  
Breast Cancer ◽  
Transcription Factor ◽  
Transcriptional Regulation ◽  
Disease Diagnosis ◽  
Integrated Analysis ◽  
Regulatory Sequences ◽  
Cancer Model ◽  
Mcf7 Cells ◽  
Epithelial Cancers ◽  
Breast Cancer Model

AbstractWhile transposons are generally silenced in somatic tissues, many transposons escape epigenetic repression in epithelial cancers, become transcriptionally active and contribute to the regulation of human gene expression. We have developed a bioinformatic pipeline for the integrated analysis of transcription factor binding and transcriptomic data to identify transposon-derived promoters that are activated in specific diseases and developmental states. We applied this pipeline to a breast cancer model, and found that the L1PA2 transposon subfamily contributes abundant regulatory sequences to co-ordinated transcriptional regulation in breast cancer. Transcription factor profiling demonstrates that over 27% of L1PA2 transposons harbour co-localised binding sites of functionally interacting, cancer-associated transcription factors in MCF7 cells, a cell line used to model breast cancer. Transcriptomic analysis reveals that L1PA2 transposons also contribute transcription start sites to up-regulated transcripts in MCF7 cells, including some transcripts with established oncogenic properties. In addition, we verified the utility of our pipeline on other transposon subfamilies, as well as on leukemia and lung carcinoma cell lines. We demonstrate that the normally quiescent regulatory activities of transposons can be activated and alter the cancer transcriptome. In particular, the L1PA2 subfamily contributes abundant regulatory sequences, and likely plays a global role in modulating breast cancer transcriptional regulation. Understanding the regulatory impact of L1PA2 on breast cancer genomes provides additional insights into cancer genome regulation, and may provide novel biomarkers for disease diagnosis, prognosis and therapy.

scholarly journals PDK1 promotes tumor growth and metastasis in a spontaneous breast cancer model

Oncogene ◽  
2015 ◽  
Vol 35 (25) ◽  
pp. 3314-3323 ◽  
Author(s):  
J Du ◽  
M Yang ◽  
S Chen ◽  
D Li ◽  
Z Chang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Growth ◽  
Cancer Model ◽  
Breast Cancer Model ◽  
Tumor Growth And Metastasis

3D RECONSTRUCTION OF BREAST CANCER FROM MAMMOGRAMS USING VOLUME RENDERING TECHNIQUES

2015 ◽  
Vol 75 (2) ◽  
Author(s):  
Ho Wei Yong ◽  
Abdullah Bade ◽  
Rajesh Kumar Muniandy
Keyword(s):  
Breast Cancer ◽  
3D Reconstruction ◽  
Computational Cost ◽  
Reconstruction Method ◽  
Cancer Model ◽  
Volume Reconstruction ◽  
The Past ◽  
Breast Cancer Model ◽  
Reconstruction Software ◽  
To Come

Over the past thirty years, a number of researchers have investigated on 3D organ reconstruction from medical images and there are a few 3D reconstruction software available on the market. However, not many researcheshave focused on3D reconstruction of breast cancer’s tumours. Due to the method complexity, most 3D breast cancer’s tumours reconstruction were done based on MRI slices dataeven though mammogram is the current clinical practice for breast cancer screening. Therefore, this research will investigate the process of creating a method that will be able to reconstruct 3D breast cancer’s tumours from mammograms effectively.  Several steps were proposed for this research which includes data acquisition, volume reconstruction, andvolume rendering. The expected output from this research is the 3D breast cancer’s tumours model that is generated from correctly registered mammograms. The main purpose of this research is to come up with a 3D reconstruction method that can produce good breast cancer model from mammograms while using minimal computational cost.

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