Learning to predict relapse in invasive ductal carcinomas based on the subcellular localization of junctional proteins-Reference-Cited by-同舟云学术

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Learning to predict relapse in invasive ductal carcinomas based on the subcellular localization of junctional proteins

Published:2009-09-29 Issue:2 Volume:121 Page:527-538
ISSN:0167-6806
Container-title:Breast Cancer Research and Treatment
language:en
Short-container-title:Breast Cancer Res Treat

Author:

Asgarian Nasimeh,Hu Xiuying,Aktary Zackie,Chapman Kimberly Ann,Lam Le,Chibbar Rajni,Mackey John,Greiner Russ,Pasdar Manijeh

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology

Link

http://link.springer.com/content/pdf/10.1007/s10549-009-0557-0.pdf

Reference39 articles.

1. Sorlie T, Tibshirani R, Parker J et al (2003) Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci USA 100:8418–8423

2. van’t Veer LJ, Bernards R (2008) Enabling personalized cancer medicine through analysis of gene-expression patterns. Nature 452:564–570

3. Nelson CM, Bissell MJ (2006) Of extracellular matrix, scaffolds, and signaling: tissue architecture regulates development, homeostasis, and cancer. Annu Rev Cell Dev Biol 22:287–309

4. Hartsock A, Nelson WJ (2008) Adherens and tight junctions: structure, function and connections to the actin cytoskeleton. Biochim Biophys Acta 1778:660–669

5. Garrod D, Chidgey M (2008) Desmosome structure, composition and function. Biochim Biophys Acta 1778:572–587

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