scholarly journals A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers

2017 ◽  
Vol 91 (6) ◽  
pp. 566-573 ◽  
Author(s):  
David Romo-Bucheli ◽  
Andrew Janowczyk ◽  
Hannah Gilmore ◽  
Eduardo Romero ◽  
Anant Madabhushi
Keyword(s):  
Gene Expression ◽  
Estrogen Receptor ◽  
Deep Learning ◽  
Mitotic Activity ◽  
Breast Cancers ◽  
Estrogen Receptor Positive ◽  
Risk Categories

scholarly journals In Silico Discovery of Mitosis Regulation Networks Associated with Early Distant Metastases in Estrogen Receptor Positive Breast Cancers

2013 ◽  
Vol 12 ◽  
pp. CIN.S10329 ◽  
Author(s):  
Yuriy Gusev ◽  
Rebecca B. Riggins ◽  
Krithika Bhuvaneshwar ◽  
Robinder Gauba ◽  
Laura Sheahan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Estrogen Receptor ◽  
In Silico ◽  
Expression Profiles ◽  
Metastatic Breast ◽  
Distant Metastases ◽  
Mitotic Checkpoint ◽  
Breast Cancers ◽  
Estrogen Receptor Positive

The aim of this study was to perform comparative analysis of multiple public datasets of gene expression in order to identify common genes as potential prognostic biomarkers. Additionally, the study sought to identify biological processes and pathways that are most significantly associated with early distant metastases (<5 years) in women with estrogen receptor-positive (ER+) breast tumors. Datasets from three published studies were selected for in silico analysis of gene expression profiles of ER+ breast cancer, using time to distant metastasis as the clinical endpoint. A subset of 44 differently expressed genes (DEGs) was found common to all three studies and characterized by mitotic checkpoint genes and pathways that regulate mitotic spindle and chromosome dynamics. DEG promoter regions were enriched with NFY binding sites. Analysis of miRNA target sites identified significant enrichment of miR-192, miR-193B, and miR-16–1 targets. Aberrant mitotic regulation could drive increased genomic instability leading to a progression towards an early onset metastatic phenotype. The relative importance of mitotic instability may reflect the clinical utility of mitotic poisons in metastatic breast cancer, including poisons such as the taxanes, epothilones, and vinca alkaloids.

scholarly journals Relationship Between Plasma Estradiol Levels and Estrogen-Responsive Gene Expression in Estrogen Receptor–Positive Breast Cancer in Postmenopausal Women

2010 ◽  
Vol 28 (7) ◽  
pp. 1161-1167 ◽  
Author(s):  
Anita K. Dunbier ◽  
Helen Anderson ◽  
Zara Ghazoui ◽  
Elizabeth J. Folkerd ◽  
Roger A'Hern ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Estrogen Receptor ◽  
Postmenopausal Women ◽  
Multivariable Analysis ◽  
Independent Set ◽  
Breast Cancers ◽  
Plasma Estradiol ◽  
Er Positive ◽  
Positive Breast Cancer

Purpose To determine whether plasma estradiol (E2) levels are related to gene expression in estrogen receptor (ER)–positive breast cancers in postmenopausal women. Materials and Methods Genome-wide RNA profiles were obtained from pretreatment core-cut tumor biopsies from 104 postmenopausal patients with primary ER-positive breast cancer treated with neoadjuvant anastrozole. Pretreatment plasma E2 levels were determined by highly sensitive radioimmunoassay. Genes were identified for which expression was correlated with pretreatment plasma E2 levels. Validation was performed in an independent set of 73 ER-positive breast cancers. Results The expression of many known estrogen-responsive genes and gene sets was highly significantly associated with plasma E2 levels (eg, TFF1/pS2, GREB1, PDZK1 and PGR; P < .005). Plasma E2 explained 27% of the average expression of these four average estrogen-responsive genes (ie, AvERG; r = 0.51; P < .0001), and a standardized mean of plasma E2 levels and ER transcript levels explained 37% (r, 0.61). These observations were validated in an independent set of 73 ER-positive tumors. Exploratory analysis suggested that addition of the nuclear coregulators in a multivariable analysis with ER and E2 levels might additionally improve the relationship with the AvERG. Plasma E2 and the standardized mean of E2 and ER were both significantly correlated with 2-week Ki67, a surrogate marker of clinical outcome (r = −0.179; P = .05; and r = −0.389; P = .0005, respectively). Conclusion Plasma E2 levels are significantly associated with gene expression of ER-positive breast cancers and should be considered in future genomic studies of ER-positive breast cancer. The AvERG is a new experimental tool for the study of putative estrogenic stimuli of breast cancer.

Impact of 21-Gene Expression Assay on Staging Estrogen Receptor–Positive HER2-Negative Breast Cancer

2019 ◽  
Vol 19 (1) ◽  
pp. e261-e269 ◽  
Author(s):  
Andrea Breaux ◽  
Bradley Turner ◽  
Xiaoyong Wu ◽  
Shesh N. Rai ◽  
Elizabeth C. Riley ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Estrogen Receptor ◽  
Gene Expression Assay ◽  
Estrogen Receptor Positive

scholarly journals A Therapeutic Target for Hormone-independent Estrogen Receptor-positive Breast Cancers

2001 ◽  
Vol 7 (1) ◽  
pp. 59-67 ◽  
Author(s):  
Debajit K. Biswas ◽  
Antonio Cruz ◽  
Nicole Pettit ◽  
George L. Mutter ◽  
Arthur B. Pardee
Keyword(s):  
Estrogen Receptor ◽  
Therapeutic Target ◽  
Breast Cancers ◽  
Estrogen Receptor Positive

scholarly journals Induction of AMPK activation by N,N’-diarylurea FND-4b decreases growth and increases apoptosis in triple negative and estrogen-receptor positive breast cancers

PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0209392 ◽  
Author(s):  
Jeremy Johnson ◽  
Piotr Rychahou ◽  
Vitaliy M. Sviripa ◽  
Heidi L. Weiss ◽  
Chunming Liu ◽  
...  
Keyword(s):  
Estrogen Receptor ◽  
Triple Negative ◽  
Breast Cancers ◽  
Ampk Activation ◽  
Estrogen Receptor Positive
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