Literature DB >> 17721431

Modelling breast cancer: one size does not fit all.

Tracy Vargo-Gogola1, Jeffrey M Rosen.   

Abstract

Breast cancer is not a single disease, but is instead a collection of diseases that have distinct histopathological features, genetic and genomic variability, and diverse prognostic outcomes. Thus, no individual model would be expected to completely recapitulate this complex disease. Here, the models commonly used to investigate breast cancer including cell lines, xenografts and genetically engineered mice, are discussed to help address the question: what is the most powerful way to investigate this heterogeneous disease?

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Year:  2007        PMID: 17721431     DOI: 10.1038/nrc2193

Source DB:  PubMed          Journal:  Nat Rev Cancer        ISSN: 1474-175X            Impact factor:   60.716


  252 in total

Review 1.  Histological types of breast cancer: how special are they?

Authors:  Britta Weigelt; Felipe C Geyer; Jorge S Reis-Filho
Journal:  Mol Oncol       Date:  2010-04-18       Impact factor: 6.603

2.  Natural history of tumor growth and immune modulation in common spontaneous murine mammary tumor models.

Authors:  Ekram Gad; Lauren Rastetter; Meredith Slota; Marlese Koehnlein; Piper M Treuting; Yushe Dang; Sasha Stanton; Mary L Disis
Journal:  Breast Cancer Res Treat       Date:  2014-11-14       Impact factor: 4.872

3.  Effect of radiation treatment on newly established human breast cancer cell lines MACL-1 and MGSO-3.

Authors:  Caryne Margotto Bertollo; Cristiane Rodrigues Correa; Dawidson Assis Gomes; Elaine Maria Souza-Fagundes; Alfredo Miranda Goes
Journal:  Tumour Biol       Date:  2010-04-27

Review 4.  Integrating high-throughput technologies in the quest for effective biomarkers for ovarian cancer.

Authors:  Vathany Kulasingam; Maria P Pavlou; Eleftherios P Diamandis
Journal:  Nat Rev Cancer       Date:  2010-04-12       Impact factor: 60.716

5.  In-depth analyses of kinase-dependent tyrosine phosphoproteomes based on metal ion-functionalized soluble nanopolymers.

Authors:  Anton B Iliuk; Victoria A Martin; Bethany M Alicie; Robert L Geahlen; W Andy Tao
Journal:  Mol Cell Proteomics       Date:  2010-06-17       Impact factor: 5.911

6.  Breast cancer risk from different mammography screening practices.

Authors:  Harmen Bijwaard; Alina Brenner; Fieke Dekkers; Teun van Dillen; Charles E Land; John D Boice
Journal:  Radiat Res       Date:  2010-09       Impact factor: 2.841

Review 7.  Regulation of mammary epithelial cell homeostasis by lncRNAs.

Authors:  Amy N Shore; Jeffrey M Rosen
Journal:  Int J Biochem Cell Biol       Date:  2014-03-26       Impact factor: 5.085

8.  Comparative profiling of miRNA expression of lung adenocarcinoma cells in two-dimensional and three-dimensional cultures.

Authors:  Cui Li; Hong T Nguyen; Yan Zhuang; Zhen Lin; Erik K Flemington; Ying Zhuo; Stephen P Kantrow; Gilbert F Morris; Deborah E Sullivan; Bin Shan
Journal:  Gene       Date:  2012-10-02       Impact factor: 3.688

9.  Mutation and protein expression analysis of CYP1A1 gene-a study on female breast cancer cases from India.

Authors:  Mohammad Zeeshan Najm; Salman Akhtar; Istaq Ahmad; Shilpi Chattopadhyay; Nasar Mallick; Sarah Siddiqui; Shuaib Zaidi; Waseem Ahmad Siddiqui; Syed Akhtar Husain
Journal:  Tumour Biol       Date:  2013-10-07

10.  Just How Critical is Epithelial-to-Mesenchymal Transition (EMT) to Metastatic Dissemination?

Authors:  Torre-Healy LA; Chia-Hsin Chan
Journal:  J Pharmacol Clin Trials       Date:  2019
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