ABSTRACT
The development of drug resistance is a nearly universal phenomenon in patients with glioblastoma multiforme (GBM) brain tumors. Upon treatment, GBM cancer cells may initially undergo a drug-induced cell-state change to a drug-tolerant, slow-cycling state. The kinetics of that process are not well understood, in part due to the heterogeneity of GBM tumors and tumor models, which can confound the interpretation of kinetic data. Here, we resolve drug-adaptation kinetics in a patient-derived in vitro GBM tumor model characterized by the epithelial growth factor receptor (EGFR) variant(v)III oncogene treated with an EGFR inhibitor. We use radiolabeled 18F-fluorodeoxyglucose (FDG) to monitor the glucose uptake trajectories of single GBM cancer cells over a 12 h period of drug treatment. Autocorrelation analysis of the single-cell glucose uptake trajectories reveals evidence of a drug-induced cell-state change from a high- to low-glycolytic phenotype after 5-7 h of drug treatment. Information theoretic analysis of a bulk transcriptome kinetic series of the GBM tumor model delineated the underlying molecular mechanisms driving the cellular state change, including a shift from a stem-like mesenchymal state to a more differentiated, slow-cycling astrocyte-like state. Our results demonstrate that complex drug-induced cancer cell-state changes of cancer cells can be captured via measurements of single cell metabolic trajectories and reveal the extremely facile nature of drug adaptation.
Subject(s)
ErbB Receptors , Glioblastoma , Glucose , Humans , Glucose/metabolism , Glioblastoma/metabolism , Glioblastoma/drug therapy , Glioblastoma/pathology , Kinetics , ErbB Receptors/metabolism , ErbB Receptors/antagonists & inhibitors , Fluorodeoxyglucose F18/chemistry , Fluorodeoxyglucose F18/metabolism , Single-Cell Analysis , Antineoplastic Agents/pharmacology , Antineoplastic Agents/chemistry , Brain Neoplasms/drug therapy , Brain Neoplasms/metabolism , Brain Neoplasms/pathologyABSTRACT
Intratumoral heterogeneity of signaling networks may contribute to targeted cancer therapy resistance, including in the highly lethal brain cancer glioblastoma (GBM). We performed single-cell phosphoproteomics on a patient-derived in vivo GBM model of mTOR kinase inhibitor resistance and coupled it to an analytical approach for detecting changes in signaling coordination. Alterations in the protein signaling coordination were resolved as early as 2.5 days after treatment, anticipating drug resistance long before it was clinically manifest. Combination therapies were identified that resulted in complete and sustained tumor suppression in vivo. This approach may identify actionable alterations in signal coordination that underlie adaptive resistance, which can be suppressed through combination drug therapy, including non-obvious drug combinations.
Subject(s)
Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Brain Neoplasms/metabolism , Glioblastoma/metabolism , Molecular Targeted Therapy , Neoplasm Proteins/metabolism , Phosphoproteins/metabolism , Protein Kinase Inhibitors/therapeutic use , Proteomics/methods , Single-Cell Analysis/methods , Adaptation, Physiological , Animals , Antineoplastic Combined Chemotherapy Protocols/pharmacology , Brain Neoplasms/drug therapy , Brain Neoplasms/pathology , Butadienes/administration & dosage , Dasatinib/administration & dosage , Drug Resistance, Neoplasm , Drug Synergism , ErbB Receptors/antagonists & inhibitors , ErbB Receptors/physiology , Gene Expression Profiling , Genes, erbB-1 , Glioblastoma/drug therapy , Glioblastoma/pathology , Humans , Mechanistic Target of Rapamycin Complex 1 , Mechanistic Target of Rapamycin Complex 2 , Mice , Models, Biological , Multiprotein Complexes/antagonists & inhibitors , Multiprotein Complexes/physiology , Mutation , Neoplasm Proteins/antagonists & inhibitors , Neoplasm Proteins/genetics , Nitriles/administration & dosage , Pyrazines/administration & dosage , Selection, Genetic , Signal Transduction/drug effects , TOR Serine-Threonine Kinases/antagonists & inhibitors , TOR Serine-Threonine Kinases/physiology , Xenograft Model Antitumor AssaysABSTRACT
We describe a supramolecular surface competition assay for quantifying glutamine uptake from single cells. Cy3-labeled cyclodextrins were immobilized on a glass surface as a supramolecular host/FRET donor, and adamantane-BHQ2 conjugates were employed as the guest/quencher. An adamantane-labeled glutamine analog was selected through screening a library of compounds and validated by cell uptake experiments. When integrated onto a single cell barcode chip with a multiplex panel of 15 other metabolites, associated metabolic enzymes, and phosphoproteins, the resultant data provided input for a steady-state model that describes energy potential in single cells and correlates that potential with receptor tyrosine kinase signaling. We utilize this integrated assay to interrogate a dose-dependent response of model brain cancer cells to EGFR inhibition. We find that low-dose (1 µM erlotinib) drugging actually increases cellular energy potential even as glucose uptake and phosphoprotein signaling is repressed. We also identify new interactions between phosphoprotein signaling and cellular energy processes that may help explain the facile resistance exhibited by certain cancer patients to EGFR inhibitors.
Subject(s)
Brain Neoplasms/metabolism , Glioblastoma/metabolism , Glutamine/metabolism , Brain Neoplasms/drug therapy , Carbocyanines/chemistry , Cell Line, Tumor , Dose-Response Relationship, Drug , ErbB Receptors/antagonists & inhibitors , Erlotinib Hydrochloride/pharmacology , Fluorescence Resonance Energy Transfer , Glioblastoma/drug therapy , Humans , Molecular ProbesABSTRACT
The most common positron emission tomography (PET) radio-labeled probe for molecular diagnostics in patient care and research is the glucose analog, 2-deoxy-2-[F-18]fluoro-D-glucose (18F-FDG). We report on an integrated microfluidics-chip/beta particle imaging system for in vitro18F-FDG radioassays of glycolysis with single cell resolution. We investigated the kinetic responses of single glioblastoma cancer cells to targeted inhibitors of receptor tyrosine kinase signaling. Further, we find a weak positive correlation between cell size and rate of glycolysis.