Literature DB >> 15687699

Molecular mechanisms of breast cancer progression: lessons from mouse mammary cancer models and gene expression profiling.

Yumei Ye1, Ting Hu Qiu, Claudine Kavanaugh, Jeffrey E Green.   

Abstract

The development of breast cancer is thought to occur through a multi-step process. The majority of breast cancers likely develop over extended periods of time arising from early, pre-invasive lesions such as atypical ductal hyperplasia (ADH) and carcinoma in situ (DCIS), progressing to invasive carcinoma and culminating in metastatic disease. However, the molecular mechanisms underlying this process are still poorly understood. The molecular analysis of this multi-step process in human patients is hampered by the difficulty in obtaining tissue samples at all tumor stages, especially from the same patient. In contrast, mouse models of mammary cancer progression are amenable to pathological, genetic and biochemical analyses at all tumor stages. Global gene expression profiling allows for simultaneous interrogation of the expression of thousands of genes and provides important opportunities to identify molecular signatures of tumor progression. This approach provides a means to define networks of cancer-related genes and their potential role in tumor progression. In this review, we discuss mouse models that have contributed substantially to understanding the molecular mechanisms of breast cancer progression and insights gained from gene expression profiling of mouse mammary cancer models and human breast cancer.

Entities:  

Year:  2004        PMID: 15687699     DOI: 10.3233/bd-2004-19109

Source DB:  PubMed          Journal:  Breast Dis        ISSN: 0888-6008


  16 in total

Review 1.  Preinvasive breast cancer.

Authors:  Dennis C Sgroi
Journal:  Annu Rev Pathol       Date:  2010       Impact factor: 23.472

2.  DNA methylation changes in murine breast adenocarcinomas allow the identification of candidate genes for human breast carcinogenesis.

Authors:  Deanna Acosta; Masako Suzuki; Diana Connolly; Reid F Thompson; Melissa J Fazzari; John M Greally; Cristina Montagna
Journal:  Mamm Genome       Date:  2011-03-04       Impact factor: 2.957

3.  Curcumin inhibits growth of human breast cancer cells through demethylation of DLC1 promoter.

Authors:  Yufei Liu; Jun Zhou; Yuchang Hu; Junjie Wang; Chengfu Yuan
Journal:  Mol Cell Biochem       Date:  2016-11-10       Impact factor: 3.396

4.  Mechanisms of epigenetic silencing of the Rassf1a gene during estrogen-induced breast carcinogenesis in ACI rats.

Authors:  Athena Starlard-Davenport; Volodymyr P Tryndyak; Smitha R James; Adam R Karpf; John R Latendresse; Frederick A Beland; Igor P Pogribny
Journal:  Carcinogenesis       Date:  2009-12-14       Impact factor: 4.944

5.  Mammary carcinogenesis is preceded by altered epithelial cell turnover in transforming growth factor-alpha and c-myc transgenic mice.

Authors:  Teresa A Rose-Hellekant; Kristin M Wentworth; Sarah Nikolai; Donald W Kundel; Eric P Sandgren
Journal:  Am J Pathol       Date:  2006-11       Impact factor: 4.307

6.  Distinct gene-expression profiles characterize mammary tumors developed in transgenic mice expressing constitutively active and C-terminally truncated variants of STAT5.

Authors:  Tali Eilon; Itamar Barash
Journal:  BMC Genomics       Date:  2009-05-18       Impact factor: 3.969

Review 7.  Next-generation sequencing: a powerful tool for the discovery of molecular markers in breast ductal carcinoma in situ.

Authors:  Hitchintan Kaur; Shihong Mao; Seema Shah; David H Gorski; Stephen A Krawetz; Bonnie F Sloane; Raymond R Mattingly
Journal:  Expert Rev Mol Diagn       Date:  2013-03       Impact factor: 5.225

Review 8.  Gene expression analysis of in vitro cocultures to study interactions between breast epithelium and stroma.

Authors:  Patricia Casbas-Hernandez; Jodie M Fleming; Melissa A Troester
Journal:  J Biomed Biotechnol       Date:  2011-12-13

9.  Transducin (β)-like 1 X-linked receptor 1 promotes proliferation and tumorigenicity in human breast cancer via activation of beta-catenin signaling.

Authors:  Xinghua Li; Weijiang Liang; Junling Liu; Chuyong Lin; Shu Wu; Libing Song; Zhongyu Yuan
Journal:  Breast Cancer Res       Date:  2014-10-24       Impact factor: 6.466

Review 10.  Unlocking the power of cross-species genomic analyses: identification of evolutionarily conserved breast cancer networks and validation of preclinical models.

Authors:  Christina N Bennett; Jeffrey E Green
Journal:  Breast Cancer Res       Date:  2008-09-11       Impact factor: 6.466

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