Molecular Profiling of Breast Cancer Cell Lines Defines Relevant Tumor Models and Provides a Resource for Cancer Gene Discovery Export

@article{citeulike:5151008, abstract = {Breast cancer cell lines have been used widely to investigate breast cancer pathobiology and new therapies. Breast cancer is a molecularly heterogeneous disease, and it is important to understand how well and which cell lines best model that diversity. In particular, microarray studies have identified molecular subtypes\^{a}€ ” luminal A, luminal B, ERBB2-associated, basal-like and normal-like\^{a}€ ” with characteristic gene-expression patterns and underlying DNA copy number alterations (CNAs). Here, we studied a collection of breast cancer cell lines to catalog molecular profiles and to assess their relation to breast cancer subtypes.}, author = {Kao, Jessica and Salari, Keyan and Bocanegra, Melanie and Choi, Yoon-La and Girard, Luc and Gandhi, Jeet and Kwei, Kevin A. and Hernandez-Boussard, Tina and Wang, Pei and Gazdar, Adi F. and Minna, John D. and Pollack, Jonathan R.}, citeulike-article-id = {5151008}, citeulike-linkout-0 = {http://dx.doi.org/10.1371/journal.pone.0006146}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19582160}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19582160}, day = {3}, doi = {10.1371/journal.pone.0006146}, issn = {1932-6203}, journal = {PLoS ONE}, keywords = {cell, cgh, comparison, lines}, month = {July}, number = {7}, pages = {e6146+}, posted-at = {2009-10-25 15:49:20}, priority = {2}, publisher = {Public Library of Science}, title = {Molecular Profiling of Breast Cancer Cell Lines Defines Relevant Tumor Models and Provides a Resource for Cancer Gene Discovery}, url = {http://dx.doi.org/10.1371/journal.pone.0006146}, volume = {4}, year = {2009} }

TY - JOUR ID - citeulike:5151008 L3 - citeulike-article-id:5151008 N2 - Breast cancer cell lines have been used widely to investigate breast cancer pathobiology and new therapies. Breast cancer is a molecularly heterogeneous disease, and it is important to understand how well and which cell lines best model that diversity. In particular, microarray studies have identified molecular subtypes–luminal A, luminal B, ERBB2-associated, basal-like and normal-like–with characteristic gene-expression patterns and underlying DNA copy number alterations (CNAs). Here, we studied a collection of breast cancer cell lines to catalog molecular profiles and to assess their relation to breast cancer subtypes. IS - 7 JF - PLoS ONE SN - 1932-6203 TI - Molecular Profiling of Breast Cancer Cell Lines Defines Relevant Tumor Models and Provides a Resource for Cancer Gene Discovery PB - Public Library of Science VL - 4 SP - e6146 KW - cell KW - cgh KW - comparison KW - lines AU - Kao, Jessica AU - Salari, Keyan AU - Bocanegra, Melanie AU - Choi, Yoon-La AU - Girard, Luc AU - Gandhi, Jeet AU - Kwei, Kevin AU - Hernandez-Boussard, Tina AU - Wang, Pei AU - Gazdar, Adi AU - Minna, John AU - Pollack, Jonathan PY - 2009/07/03/ UR - http://dx.doi.org/10.1371/journal.pone.0006146 ER -