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PMID: 19582160 Published · epublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Molecular profiling of breast cancer cell lines defines relevant tumor models and provides a resource for cancer gene discovery.

PloS one ·Vol. 4 ·No. 7 ·2009-07-03 ·Pages e6146

Kao J, Salari K, Bocanegra M, Choi YL, Girard L, Gandhi J, Kwei KA, Hernandez-Boussard T, Wang P, Gazdar AF, Minna JD, Pollack JR

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-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. Whole-genome DNA microarrays were used to profile gene expression and CNAs in a collection of 52 widely-used breast cancer cell lines, and comparisons were made to existing profiles of primary breast tumors. Hierarchical clustering was used to identify gene-expression subtypes, and Gene Set Enrichment Analysis (GSEA) to discover biological features of those subtypes. Genomic and transcriptional profiles were integrated to discover within high-amplitude CNAs candidate cancer genes with coordinately altered gene copy number and expression. Transcriptional profiling of breast cancer cell lines identified one luminal and two basal-like (A and B) subtypes. Luminal lines displayed an estrogen receptor (ER) signature and resembled luminal-A/B tumors, basal-A lines were associated with ETS-pathway and BRCA1 signatures and resembled basal-like tumors, and basal-B lines displayed mesenchymal and stem/progenitor-cell characteristics. Compared to tumors, cell lines exhibited similar patterns of CNA, but an overall higher complexity of CNA (genetically simple luminal-A tumors were not represented), and only partial conservation of subtype-specific CNAs. We identified 80 high-level DNA amplifications and 13 multi-copy deletions, and the resident genes with concomitantly altered gene-expression, highlighting known and novel candidate breast cancer genes. Overall, breast cancer cell lines were genetically more complex than tumors, but retained expression patterns with relevance to the luminal-basal subtype distinction. The compendium of molecular profiles defines cell lines suitable for investigations of subtype-specific pathobiology, cancer stem cell biology, biomarkers and therapies, and provides a resource for discovery of new breast cancer genes.

MeSH Terms
Base Sequence Blotting, Western Breast Neoplasms/genetics,pathology Cell Line, Tumor DNA Primers Female Gene Expression Profiling Genes, BRCA1 Humans Immunohistochemistry Oligonucleotide Array Sequence Analysis Polymerase Chain Reaction RNA, Messenger/genetics Transcription, Genetic
Chemicals
DNA Primers RNA, Messenger
Authors & Affiliations
12 authors, click to expand affiliations / ORCID
Kao Jessica
Department of Pathology, Stanford University, Stanford, CA, USA.
Salari Keyan
Bocanegra Melanie
Choi Yoon-La
Girard Luc
Gandhi Jeet
Kwei Kevin A
Hernandez-Boussard Tina
Wang Pei
Gazdar Adi F
Minna John D
Pollack Jonathan R
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Article Info
Journal
PloS one
Abbr.
PLoS One
ISSN
1932-6203
Published
2009-07-03
Epub
2009-00-03
Pages
e6146
Language
English
Region
United States
NLM ID
101285081
PMCID
PMC2702084
Subset
IM
Grants
NCI NIH HHS · R01 CA097139 · United States
NCI NIH HHS · T32 CA009151 · United States
NCI NIH HHS · T32 CA009302 · United States
NCI NIH HHS · CA97139 · United States
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