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Full-Text Articles in Women's Health

Bayesian Methods For Graphical Models With Neighborhood Selection., Sagnik Bhadury Dec 2022

Bayesian Methods For Graphical Models With Neighborhood Selection., Sagnik Bhadury

Electronic Theses and Dissertations

Graphical models determine associations between variables through the notion of conditional independence. Gaussian graphical models are a widely used class of such models, where the relationships are formalized by non-null entries of the precision matrix. However, in high-dimensional cases, covariance estimates are typically unstable. Moreover, it is natural to expect only a few significant associations to be present in many realistic applications. This necessitates the injection of sparsity techniques into the estimation method. Classical frequentist methods, like GLASSO, use penalization techniques for this purpose. Fully Bayesian methods, on the contrary, are slow because they require iteratively sampling over a quadratic …


Activity Of Distinct Growth Factor Receptor Network Components In Breast Tumors Uncovers Two Biologically Relevant Subtypes, Moom Roosan, Shelley M. Macneil, David F. Jenkins, Gajendra Shrestha, Sydney R. Wyatt, Jasmine A. Mcquerry, Stephen R. Piccolo, Laura M. Heiser, Joe W. Gray, W. Evan Johnson, Andrea H. Bild Apr 2017

Activity Of Distinct Growth Factor Receptor Network Components In Breast Tumors Uncovers Two Biologically Relevant Subtypes, Moom Roosan, Shelley M. Macneil, David F. Jenkins, Gajendra Shrestha, Sydney R. Wyatt, Jasmine A. Mcquerry, Stephen R. Piccolo, Laura M. Heiser, Joe W. Gray, W. Evan Johnson, Andrea H. Bild

Pharmacy Faculty Articles and Research

Background
The growth factor receptor network (GFRN) plays a significant role in driving key oncogenic processes. However, assessment of global GFRN activity is challenging due to complex crosstalk among GFRN components, or pathways, and the inability to study complex signaling networks in patient tumors. Here, pathway-specific genomic signatures were used to interrogate GFRN activity in breast tumors and the consequent phenotypic impact of GRFN activity patterns.

Methods
Novel pathway signatures were generated in human primary mammary epithelial cells by overexpressing key genes from GFRN pathways (HER2, IGF1R, AKT1, EGFR, KRAS (G12V), RAF1, BAD). The pathway analysis toolkit Adaptive Signature Selection …


Cis-Eqtl-Based Trans-Ethnic Meta-Analysis Reveals Novel Genes Associated With Breast Cancer Risk, Joshua Hoffman, Rebecca Graff, Nima Emami, Caroline Tai, Michael Passarelli Mar 2017

Cis-Eqtl-Based Trans-Ethnic Meta-Analysis Reveals Novel Genes Associated With Breast Cancer Risk, Joshua Hoffman, Rebecca Graff, Nima Emami, Caroline Tai, Michael Passarelli

Dartmouth Scholarship

Breast cancer is the most common solid organ malignancy and the most frequent cause of cancer death among women worldwide. Previous research has yielded insights into its genetic etiology, but there remains a gap in the understanding of genetic factors that contribute to risk, and particularly in the biological mechanisms by which genetic variation modulates risk. The National Cancer Institute's "Up for a Challenge" (U4C) competition provided an opportunity to further elucidate the genetic basis of the disease. Our group leveraged the seven datasets made available by the U4C organizers and data from the publicly available UK Biobank cohort to …


Real-Time Detection Of Breast Cancer Cells Using Peptidefunctionalized Microcantilever Arrays, Hashem Etayash, Keren Jiang, Sarfuddin Azmi, Thomas Thundat, Kamaljit Kaur Oct 2015

Real-Time Detection Of Breast Cancer Cells Using Peptidefunctionalized Microcantilever Arrays, Hashem Etayash, Keren Jiang, Sarfuddin Azmi, Thomas Thundat, Kamaljit Kaur

Pharmacy Faculty Articles and Research

Ligand-directed targeting and capturing of cancer cells is a new approach for detecting circulating tumor cells (CTCs). Ligands such as antibodies have been successfully used for capturing cancer cells and an antibody based system (CellSearch®) is currently used clinically to enumerate CTCs. Here we report the use of a peptide moiety in conjunction with a microcantilever array system to selectively detect CTCs resulting from cancer, specifically breast cancer. A sensing microcantilever, functionalized with a breast cancer specific peptide 18-4 (WxEAAYQrFL), showed significant deflection on cancer cell (MCF7 and MDA-MB-231) binding compared to when exposed to noncancerous (MCF10A and HUVEC) cells. …


Estimating The Impact Of Lost To Follow-Up On Breast Cancer Patients' Disease-Free Survival, Debbie Yan Qun Huang May 2013

Estimating The Impact Of Lost To Follow-Up On Breast Cancer Patients' Disease-Free Survival, Debbie Yan Qun Huang

Statistics

Background The 5-year survival rate for patients with breast cancer is much higher than patients with other types of cancer. Due to this longer survival period, breast cancer patients also tend to have increased rates of lost to follow-up, when compared to other cancers. When a patient becomes lost, the occurrence of distant metastasis cannot be reliably ascertained, unless the patient had a breast cancer-specific (BC) death. The impact of lost patients on recurrence rates and disease-free survival (DFS) was explored in breast cancer patients seen at the City of Hope from 1997 to 2012.

Methods Female breast cancer patients …


Erlin2 Promotes Breast Cancer Cell Survival By Modulating Endoplasmic Reticulum Stress Pathways, Guohui Wang, Gang Liu, Xiaogang Wang, Seema Sethi, Rouba Ali-Fehmi, Judith Abrams, Ze Zheng, Kezhong Zhang, Stephen Ethier, Zeng-Quan Yang Jan 2012

Erlin2 Promotes Breast Cancer Cell Survival By Modulating Endoplasmic Reticulum Stress Pathways, Guohui Wang, Gang Liu, Xiaogang Wang, Seema Sethi, Rouba Ali-Fehmi, Judith Abrams, Ze Zheng, Kezhong Zhang, Stephen Ethier, Zeng-Quan Yang

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Amplification of the 8p11-12 region has been found in approximately 15% of human breast cancer and is associated with poor prognosis. Previous genomic analysis has led us to identify the endoplasmic reticulum (ER) lipid raft-associated 2 (ERLIN2) gene as one of the candidate oncogenes within the 8p11-12 amplicon in human breast cancer, particularly in the luminal subtype. ERLIN2, an ER membrane protein, has recently been identified as a novel mediator of ER-associated degradation. Yet, the biological roles of ERLIN2 and molecular mechanisms by which ERLIN2 coordinates ER pathways in breast carcinogenesis remain unclear.

Methods

We established the MCF10A-ERLIN2 …