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Oncology

Center for Environmental and Systems Biochemistry Faculty Publications

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Full-Text Articles in Cell and Developmental Biology

Innate Immune Activation By Checkpoint Inhibition In Human Patient-Derived Lung Cancer Tissues, Teresa W. M. Fan, Richard M. Higashi, Huan Song, Saeed Daneshmandi, Angela L. Mahan, Matthew S. Purdom, Therese J. Bocklage, Thomas A. Pittman, Daheng He, Chi Wang, Andrew N. Lane Aug 2021

Innate Immune Activation By Checkpoint Inhibition In Human Patient-Derived Lung Cancer Tissues, Teresa W. M. Fan, Richard M. Higashi, Huan Song, Saeed Daneshmandi, Angela L. Mahan, Matthew S. Purdom, Therese J. Bocklage, Thomas A. Pittman, Daheng He, Chi Wang, Andrew N. Lane

Center for Environmental and Systems Biochemistry Faculty Publications

Although Pembrolizumab-based immunotherapy has significantly improved lung cancer patient survival, many patients show variable efficacy and resistance development. A better understanding of the drug’s action is needed to improve patient outcomes. Functional heterogeneity of the tumor microenvironment (TME) is crucial to modulating drug resistance; understanding of individual patients’ TME that impacts drug response is hampered by lack of appropriate models. Lung organotypic tissue slice cultures (OTC) with patients’ native TME procured from primary and brain-metastasized (BM) non-small cell lung cancer (NSCLC) patients were treated with Pembrolizumab and/or beta-glucan (WGP, an innate immune activator). Metabolic tracing with 13C6-Glc/ …

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Acute Loss Of Iron-Sulfur Clusters Results In Metabolic Reprogramming And Generation Of Lipid Droplets In Mammalian Cells, Daniel R. Crooks, Nunziata Maio, Andrew N. Lane, Michal Jarnik, Richard M. Higashi, Ronald G. Haller, Ye Yang, Teresa Whei-Mei Fan, W. Marston Linehan, Tracey A. Rouault Mar 2018

Acute Loss Of Iron-Sulfur Clusters Results In Metabolic Reprogramming And Generation Of Lipid Droplets In Mammalian Cells, Daniel R. Crooks, Nunziata Maio, Andrew N. Lane, Michal Jarnik, Richard M. Higashi, Ronald G. Haller, Ye Yang, Teresa Whei-Mei Fan, W. Marston Linehan, Tracey A. Rouault

Center for Environmental and Systems Biochemistry Faculty Publications

Iron–sulfur (Fe-S) clusters are ancient cofactors in cells and participate in diverse biochemical functions, including electron transfer and enzymatic catalysis. Although cell lines derived from individuals carrying mutations in the Fe-S cluster biogenesis pathway or siRNA-mediated knockdown of the Fe-S assembly components provide excellent models for investigating Fe-S cluster formation in mammalian cells, these experimental strategies focus on the consequences of prolonged impairment of Fe-S assembly. Here, we constructed and expressed dominant–negative variants of the primary Fe-S biogenesis scaffold protein iron–sulfur cluster assembly enzyme 2 (ISCU2) in human HEK293 cells. This approach enabled us to study the early metabolic reprogramming …

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Probing The Metabolic Phenotype Of Breast Cancer Cells By Multiple Tracer Stable Isotope Resolved Metabolomics, Andrew N. Lane, Julie Tan, Yali Wang, Jun Yan, Richard M. Higashi, Teresa W. -M. Fan Sep 2017

Probing The Metabolic Phenotype Of Breast Cancer Cells By Multiple Tracer Stable Isotope Resolved Metabolomics, Andrew N. Lane, Julie Tan, Yali Wang, Jun Yan, Richard M. Higashi, Teresa W. -M. Fan

Center for Environmental and Systems Biochemistry Faculty Publications

Breast cancers vary by their origin and specific set of genetic lesions, which gives rise to distinct phenotypes and differential response to targeted and untargeted chemotherapies. To explore the functional differences of different breast cell types, we performed Stable Isotope Resolved Metabolomics (SIRM) studies of one primary breast (HMEC) and three breast cancer cells (MCF-7, MDAMB-231, and ZR75-1) having distinct genotypes and growth characteristics, using 13C6-glucose, 13C-1+2-glucose, 13C5,15N2-Gln, 13C3-glycerol, and 13C8-octanoate as tracers. These tracers were designed to probe the central energy producing …

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Chloroformate Derivatization For Tracing The Fate Of Amino Acids In Cells And Tissues By Multiple Stable Isotope Resolved Metabolomics (Msirm), Ye Yang, Teresa W. -M. Fan, Andrew N. Lane, Richard M. Higashi Jul 2017

Chloroformate Derivatization For Tracing The Fate Of Amino Acids In Cells And Tissues By Multiple Stable Isotope Resolved Metabolomics (Msirm), Ye Yang, Teresa W. -M. Fan, Andrew N. Lane, Richard M. Higashi

Center for Environmental and Systems Biochemistry Faculty Publications

Amino acids have crucial roles in central metabolism, both anabolic and catabolic. To elucidate these roles, steady-state concentrations of amino acids alone are insufficient, as each amino acid participates in multiple pathways and functions in a complex network, which can also be compartmentalized. Stable Isotope-Resolved Metabolomics (SIRM) is an approach that uses atom-resolved tracking of metabolites through biochemical transformations in cells, tissues, or whole organisms. Using different elemental stable isotopes to label multiple metabolite precursors makes it possible to resolve simultaneously the utilization of these precursors in a single experiment. Conversely, a single precursor labeled with two (or more) different …

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Exploring Cancer Metabolism Using Stable Isotope-Resolved Metabolomics (Sirm), Ronald C. Bruntz, Andrew N. Lane, Richard M. Higashi, Teresa W. -M. Fan Jun 2017

Exploring Cancer Metabolism Using Stable Isotope-Resolved Metabolomics (Sirm), Ronald C. Bruntz, Andrew N. Lane, Richard M. Higashi, Teresa W. -M. Fan

Center for Environmental and Systems Biochemistry Faculty Publications

Metabolic reprogramming is a hallmark of cancer. The changes in metabolism are adaptive to permit proliferation, survival, and eventually metastasis in a harsh environment. Stable isotope-resolved metabolomics (SIRM) is an approach that uses advanced approaches of NMR and mass spectrometry to analyze the fate of individual atoms from stable isotope-enriched precursors to products to deduce metabolic pathways and networks. The approach can be applied to a wide range of biological systems, including human subjects. This review focuses on the applications of SIRM to cancer metabolism and its use in understanding drug actions.

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