Open Access. Powered by Scholars. Published by Universities.®

Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

University of Nebraska Medical Center

Journal Articles: Genetics, Cell Biology & Anatomy

Breast Neoplasms

Publication Year

Articles 1 - 3 of 3

Full-Text Articles in Medicine and Health Sciences

Cytoplasmic Localization Of Alteration/Deficiency In Activation 3 (Ada3) Predicts Poor Clinical Outcome In Breast Cancer Patients., Sameer Mirza, Emad A. Rakha, Alaa Alshareeda, Shakur Mohibi, Xiangshan Zhao, Bryan J. Katafiasz, Jun Wang, Channabasavaiah B. Gurumurthy, Aditya Bele, Ian O. Ellis, Andrew R. Green, Hamid Band, Vimla Band Feb 2013

Cytoplasmic Localization Of Alteration/Deficiency In Activation 3 (Ada3) Predicts Poor Clinical Outcome In Breast Cancer Patients., Sameer Mirza, Emad A. Rakha, Alaa Alshareeda, Shakur Mohibi, Xiangshan Zhao, Bryan J. Katafiasz, Jun Wang, Channabasavaiah B. Gurumurthy, Aditya Bele, Ian O. Ellis, Andrew R. Green, Hamid Band, Vimla Band

Journal Articles: Genetics, Cell Biology & Anatomy

Transcriptional activation by estrogen receptor (ER) is a key step to breast oncogenesis. Given previous findings that ADA3 is a critical component of HAT complexes that regulate ER function and evidence that overexpression of other ER coactivators such as SRC-3 is associated with clinical outcomes in breast cancer, the current study was designed to assess the potential significance of ADA3 expression/localization in human breast cancer patients. In this study, we analyzed ADA3 expression in breast cancer tissue specimens and assessed the correlation of ADA3 staining with cancer progression and patient outcome. Tissue microarrays prepared from large series of breast cancer …


Overexpression Of A Novel Cell Cycle Regulator Ecdysoneless In Breast Cancer: A Marker Of Poor Prognosis In Her2/Neu-Overexpressing Breast Cancer Patients., Xiangshan Zhao, Sameer Mirza, Alaa Alshareeda, Ying Zhang, Channabasavaiah B. Gurumurthy, Aditya Bele, Jun Hyun Kim, Shakur Mohibi, Monica Goswami, Subodh M. Lele, William West, Fang Qiu, Ian O. Ellis, Emad A. Rakha, Andrew R. Green, Hamid Band, Vimla Band Jul 2012

Overexpression Of A Novel Cell Cycle Regulator Ecdysoneless In Breast Cancer: A Marker Of Poor Prognosis In Her2/Neu-Overexpressing Breast Cancer Patients., Xiangshan Zhao, Sameer Mirza, Alaa Alshareeda, Ying Zhang, Channabasavaiah B. Gurumurthy, Aditya Bele, Jun Hyun Kim, Shakur Mohibi, Monica Goswami, Subodh M. Lele, William West, Fang Qiu, Ian O. Ellis, Emad A. Rakha, Andrew R. Green, Hamid Band, Vimla Band

Journal Articles: Genetics, Cell Biology & Anatomy

Uncontrolled proliferation is one of the hallmarks of breast cancer. We have previously identified the human Ecd protein (human ortholog of Drosophila Ecdysoneless, hereafter called Ecd) as a novel promoter of mammalian cell cycle progression, a function related to its ability to remove the repressive effects of Rb-family tumor suppressors on E2F transcription factors. Given the frequent dysregulation of cell cycle regulatory components in human cancer, we used immunohistochemistry of paraffin-embedded tissues to examine Ecd expression in normal breast tissue versus tissues representing increasing breast cancer progression. Initial studies of a smaller cohort without outcomes information showed that Ecd expression …


Accurate Molecular Classification Of Cancer Using Simple Rules., Xiaosheng Wang, Osamu Gotoh Oct 2009

Accurate Molecular Classification Of Cancer Using Simple Rules., Xiaosheng Wang, Osamu Gotoh

Journal Articles: Genetics, Cell Biology & Anatomy

BACKGROUND: One intractable problem with using microarray data analysis for cancer classification is how to reduce the extremely high-dimensionality gene feature data to remove the effects of noise. Feature selection is often used to address this problem by selecting informative genes from among thousands or tens of thousands of genes. However, most of the existing methods of microarray-based cancer classification utilize too many genes to achieve accurate classification, which often hampers the interpretability of the models. For a better understanding of the classification results, it is desirable to develop simpler rule-based models with as few marker genes as possible.

METHODS: …