ArticleMetabolomics : Official journal of the Metabolomic Society2016
Preclinical models for interrogating drug action in human cancers using Stable Isotope Resolved Metabolomics (SIRM).
Article in Metabolomics : Official journal of the Metabolomic Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 30 citations in OpenAlex.
- Characterizing ex vivo models for studying lipid metabolism in triple negative breast cancer.Journal of lipid research · 2026Article
- Patient-derived organotypic tissue cultures as a platform to evaluate metabolic reprogramming in breast cancer patients.The Journal of biological chemistry · 2025Article
- Advances in the Study of Metabolic Reprogramming in Gastric Cancer.Cancer medicine · 2025Review
- Metabolic Analysis of Three-Dimensional Cultured Gastrointestinal Cancer Cells Suggests that <sc>l</sc>-Arginine Inhibits Tumor Growth by Affecting the Urea Cycle.Pathobiology : journal of immunopathology, molecular and cellular biology · 2025Article
- Three-Dimensional Culture of Glioblastoma Cells Using a Tissueoid Cell Culture System.Acta histochemica et cytochemica · 2024Article
- Stable isotope-resolved metabolomics analyses of metabolic phenotypes reveal variable glutamine metabolism in different patient-derived models of non-small cell lung cancer from a single patient.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Challenges of Spatially Resolved Metabolism in Cancer Research.Metabolites · 2024Review
- Pharmacometabolomics reveals urinary diacetylspermine as a biomarker of doxorubicin effectiveness in triple negative breast cancer.NPJ precision oncology · 2022Article
- [Sorafenib regulates vascular endothelial growth factor by runt-related transcription factor-3 to inhibit angiogenesis in hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022Article
- Untargeted stable isotope-resolved metabolomics to assess the effect of PI3Kβ inhibition on metabolic pathway activities in a PTEN null breast cancer cell line.Frontiers in molecular biosciences · 2022Article
- Innate immune activation by checkpoint inhibition in human patient-derived lung cancer tissues.eLife · 2021Article
- FATTY ACID SYNTHESIS IS REQUIRED FOR BREAST CANCER BRAIN METASTASIS.Nature cancer · 2021Article
- Comparing Stable Isotope Enrichment by Gas Chromatography with Time-of-Flight, Quadrupole Time-of-Flight, and Quadrupole Mass Spectrometry.Analytical chemistry · 2021Article
- Similarities and differences in metabolites of tongue cancer cells among two- and three-dimensional cultures and xenografts.Cancer science · 2021Article
- Nuclear Magnetic Resonance Spectroscopy in Clinical Metabolomics and Personalized Medicine: Current Challenges and Perspectives.Frontiers in molecular biosciences · 2021Review
- Oral Gavage Delivery of Stable Isotope Tracer for In Vivo Metabolomics.Metabolites · 2020Article
- Resolving Metabolic Heterogeneity in Experimental Models of the Tumor Microenvironment from a Stable Isotope Resolved Metabolomics Perspective.Metabolites · 2020Review
- Metabolic reprogramming in tumors: Contributions of the tumor microenvironment.Genes & diseases · 2020Review
- NMR and MS-based Stable Isotope-Resolved Metabolomics and Applications in Cancer Metabolism.Trends in analytical chemistry : TRAC · 2019Article
- Inhibition of Anaplerotic Glutaminolysis Underlies Selenite Toxicity in Human Lung Cancer.Proteomics · 2019Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
aimsIn this review we compare the advantages and disadvantages of different model biological systems for determining the metabolic functions of cells in complex environments, how they may change in different disease states, and respond to therapeutic interventions.
backgroundAll preclinical drug-testing models have advantages and drawbacks. We compare and contrast established cell, organoid and animal models with ex vivo organ or tissue culture and in vivo human experiments in the context of metabolic readout of drug efficacy. As metabolism reports directly on the biochemical state of cells and tissues, it can be very sensitive to drugs and/or other environmental changes. This is especially so when metabolic activities are probed by stable isotope tracing methods, which can also provide detailed mechanistic information on drug action. We have developed and been applying Stable Isotope-Resolved Metabolomics (SIRM) to examine metabolic reprogramming of human lung cancer cells in monoculture, in mouse xenograft/explant models, and in lung cancer patients in situ (Lane et al. 2011; T. W. Fan et al. 2011; T. W-M. Fan et al. 2012; T. W. Fan et al. 2012; Xie et al. 2014b; Ren et al. 2014a; Sellers et al. 2015b). We are able to determine the influence of the tumor microenvironment using these models. We have now extended the range of models to fresh human tissue slices, similar to those originally described by O. Warburg (Warburg 1923), which retain the native tissue architecture and heterogeneity with a paired benign versus cancer design under defined cell culture conditions. This platform offers an unprecedented human tissue model for preclinical studies on metabolic reprogramming of human cancer cells in their tissue context, and response to drug treatment (Xie et al. 2014a). As the microenvironment of the target human tissue is retained and individual patient's response to drugs is obtained, this platform promises to transcend current limitations of drug selection for clinical trials or treatments. CONCLUSIONS AND FUTURE WORK: Development of ex vivo human tissue and animal models with humanized organs including bone marrow and liver show considerable promise for analyzing drug responses that are more relevant to humans. Similarly using stable isotope tracer methods with these improved models in advanced stages of the drug development pipeline, in conjunction with tissue biopsy is expected significantly to reduce the high failure rate of experimental drugs in Phase II and III clinical trials.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.