Optical Imaging of Cancer Cell Metabolism in Murine Metastatic Breast Cancer

2016 ◽  
Author(s):  
Kinan Alhallak ◽  
Lisa Rebello ◽  
Narasimhan Rajaram
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Optical Imaging ◽  
Cancer Cell ◽  
Cell Metabolism ◽  
Metastatic Breast ◽  
Cancer Cell Metabolism

Reversal of the glycolytic phenotype by dichloroacetate inhibits metastatic breast cancer cell growth in vitro and in vivo

2009 ◽  
Vol 120 (1) ◽  
pp. 253-260 ◽  
Author(s):  
Ramon C. Sun ◽  
Mitali Fadia ◽  
Jane E. Dahlstrom ◽  
Christopher R. Parish ◽  
Philip G. Board ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Cell Growth ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Metastatic Breast ◽  
Cancer Cell Growth ◽  
Breast Cancer Cell Growth

scholarly journals The landscape of tiered regulation of breast cancer cell metabolism

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Rotem Katzir ◽  
Ibrahim H. Polat ◽  
Michal Harel ◽  
Shir Katz ◽  
Carles Foguet ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Metabolic Regulation ◽  
Cell Metabolism ◽  
Cancer Cell Line ◽  
Hierarchical Organization ◽  
Metabolic Reprogramming ◽  
A Genome ◽  
Cancer Cell Metabolism

AbstractAltered metabolism is a hallmark of cancer, but little is still known about its regulation. In this study, we measure transcriptomic, proteomic, phospho-proteomic and fluxomics data in a breast cancer cell-line (MCF7) across three different growth conditions. Integrating these multiomics data within a genome scale human metabolic model in combination with machine learning, we systematically chart the different layers of metabolic regulation in breast cancer cells, predicting which enzymes and pathways are regulated at which level. We distinguish between two types of reactions, directly and indirectly regulated. Directly-regulated reactions include those whose flux is regulated by transcriptomic alterations (~890) or via proteomic or phospho-proteomics alterations (~140) in the enzymes catalyzing them. We term the reactions that currently lack evidence for direct regulation as (putative) indirectly regulated (~930). Many metabolic pathways are predicted to be regulated at different levels, and those may change at different media conditions. Remarkably, we find that the flux of predicted indirectly regulated reactions is strongly coupled to the flux of the predicted directly regulated ones, uncovering a tiered hierarchical organization of breast cancer cell metabolism. Furthermore, the predicted indirectly regulated reactions are predominantly reversible. Taken together, this architecture may facilitate rapid and efficient metabolic reprogramming in response to the varying environmental conditions incurred by the tumor cells. The approach presented lays a conceptual and computational basis for mapping metabolic regulation in additional cancers.

Matrix stiffness and cluster size collectively regulate dormancy versus proliferation in brain metastatic breast cancer cell clusters

2020 ◽  
Vol 8 (23) ◽  
pp. 6637-6646
Author(s):  
Raghu Vamsi Kondapaneni ◽  
Shreyas S. Rao
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Tumor Cell ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Cluster Size ◽  
Metastatic Breast ◽  
Metastatic Tumor ◽  
Matrix Stiffness ◽  
Cell Clusters

Dormant versus proliferative phenotypes in metastatic tumor cell clusters are mediated via matrix stiffness and cluster size.

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