Gene expression profiling of luminal B breast cancers reveals NHERF1 as a new marker of endocrine resistance

2011 ◽  
Vol 130 (2) ◽  
pp. 409-420 ◽  
Author(s):  
Thomas Karn ◽  
Eugen Ruckhäberle ◽  
Lars Hanker ◽  
Volkmar Müller ◽  
Marcus Schmidt ◽  
...  
2006 ◽  
Vol 12 (15) ◽  
pp. 4533-4544 ◽  
Author(s):  
Christophe Ginestier ◽  
Nathalie Cervera ◽  
Pascal Finetti ◽  
Séverine Esteyries ◽  
Benjamin Esterni ◽  
...  

2021 ◽  
Author(s):  
Chengheng Liao ◽  
Cherise Ryan Glodowski ◽  
Cheng Fan ◽  
Juan Liu ◽  
Kevin Raynard Mott ◽  
...  

Abstract Metabolic dysregulation, although a prominent feature in breast cancer, remains undercharacterized in patient tumors. By performing untargeted metabolomics analyses on triple-negative breast cancer (TNBC) and Estrogen Receptor (ER) positive patient breast tumors, as well as TNBC patient-derived xenografts (PDXs), we identified two major metabolic groups independent of breast cancer histological subtypes: a “Nucleotide/Carbohydrate-Enriched” group and a “Lipid/Fatty Acid-Enriched” group. Cell lines grown in vivo more faithfully recapitulate the metabolic profiles of patient tumors. Integrated metabolic and gene expression analyses reveal genes that strongly correlate with metabolic dysregulation and predict patient prognosis. As a proof-of-principle, targeting Nucleotide/Carbohydrate-Enriched TNBC cell line or PDX xenografts with a pyrimidine biosynthesis inhibitor, and/or a glutaminase inhibitor, led to therapeutic efficacy. In addition, the pyrimidine biosynthesis inhibitor presents better therapeutic outcomes than chemotherapy agents in multiple murine TNBC models. Our study provides a new stratification of breast tumor samples based on integrated metabolic and gene expression profiling, which guides the selection of newly effective therapeutic strategies targeting rapidly proliferating breast cancer subsets. In addition, we develop a public, interactive data visualization portal (http://brcametab.org) based on the data generated from this study.


2016 ◽  
Vol 140 (8) ◽  
pp. 806-814 ◽  
Author(s):  
Ping Tang ◽  
Gary M. Tse

Context.—The pioneering works on molecular classification (MC) by Perou and Sorlie et al in the early 2000s using global gene expression profiling identified 5 intrinsic subtypes of invasive breast cancers (IBCs): luminal A, luminal B, normal breast-like, HER2-enriched, and basal-like subtypes, each unique in incidence, survival, and response to therapy. Because the application of gene expression profiling in daily practice is not economical or practical at the present time, many investigators have studied the use of immunohistochemical (IHC) surrogates as a substitute for determining the MC of IBC. Objective.—To discuss the continuing efforts that have been made to develop clinically significant and readily available IHC surrogates for the MC of IBC. Data Sources.—Data were obtained from pertinent peer-reviewed English-language literature. Conclusions.—The most commonly used IHC surrogates are estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2 (HER2), dividing IBC into luminal, HER2, and triple-negative subtypes. The addition of Ki-67, cytokeratin 5, and epidermal growth factor receptor (EGFR) separates luminal B from luminal A subtypes, and basal-like subtype from triple-negative breast cancer. More recently, biomarkers such as androgen receptor and p53 have been shown to further stratify these molecular subtypes. Although many studies of IHC-based MC have shown clinical significance similar to gene expression profiling–defined MC, its critical limitations are: (1) a lack of standardization in terminology, (2) a lack of standardization in biomarkers used for each subtype, and (3) the lack of a uniform cutoff for each biomarker. A panel of IHC surrogates for each subtype of IBC is proposed.


Breast Cancer ◽  
2005 ◽  
Vol 12 (3) ◽  
pp. 166-177 ◽  
Author(s):  
Koji Tsumagari ◽  
Kazuo Chijiiwa ◽  
Hisaki Nagai ◽  
Masujiro Makita ◽  
Fujio Kasumi ◽  
...  

2011 ◽  
Vol 132 (2) ◽  
pp. 439-448 ◽  
Author(s):  
Jord H. A. Nagel ◽  
Justine K. Peeters ◽  
Marcel Smid ◽  
Anieta M. Sieuwerts ◽  
Marijke Wasielewski ◽  
...  

2008 ◽  
Vol 22 (1) ◽  
pp. 114-127 ◽  
Author(s):  
David L. Morse ◽  
Danielle Carroll ◽  
Sam Day ◽  
Heather Gray ◽  
Pooja Sadarangani ◽  
...  

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