The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Glutamine blockade induces divergent metabolic programs to overcome tumor immune evasion
Open accessAbstract
A fresh look at glutamine targeting: Glutamine is essential for tumor growth and has long been an attractive therapeutic target for cancer researchers. Some attempts at blocking glutamine metabolism in cancer patients resulted in toxicity, prompting Leone et al. to develop an innovative approach to reduce general side effects. They designed a prodrug form (JHU083) of the glutamine antagonist 6-diazo-5-oxo- l -norleucine (DON), which is administered in an inert state but then preferentially activated by enzymes enriched in the tumor microenvironment. JHU083 simultaneously shut down glycolysis and oxidative phosphorylation in mouse cancer cells while enhancing T cell oxidative phosphorylation and anticancer immune responses. Science , this issue p. 1013
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A recent study discovered a prodrug (JHU083) of the glutamine antagonist DON, which was designed to selectively become activated inside a tumor.”
From Glutamine reliance in cell metabolism (2020) · cites this paper as [200]
In the citing paper
“The researchers showed that blocking glutamine metabolism through JHU083 not only suppressed tumor cell metabolism but also mitigated the tumor microenvironment, which is hostile to the immune response due to its hypoxic, acidic, and nutrient-depleted conditions, unleashing the natural antitumor T cell response.”
From Glutamine reliance in cell metabolism (2020) · cites this paper as [200]
In the citing paper
“They also confirmed that concurrent treatment with JHU083 and anti-PD-1 checkpoint inhibitor improved the antitumor effects compared with anti-PD-1 treatment alone, suggesting the presence of metabolic plasticity between cancer cells and effector T cells, which could be exploited as a metabolic checkpoint for cancer immunotherapy200.”
From Glutamine reliance in cell metabolism (2020) · cites this paper as [200]
In the citing paper
“recent advances have optimized DON as a pro-drug with pharmacokinetic properties that increase tumor targeting203, including an orally available analog with promising pre-clinical results in murine PDAC models204”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [203]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The emerging hallmarks of cancer metabolism
Pavlova, N. N., & Thompson, C. B. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2015.12.006 · Cited by 5,926
The Warburg Effect: How Does it Benefit Cancer Cells?
Liberti, M. V., & Locasale, J. W. (2016) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2015.12.001 · Cited by 5,150
Metabolic Competition in the Tumor Microenvironment Is a Driver of Cancer Progression
Chang, C.-H., Qiu, J., O’Sullivan, D., Buck, M. D., Noguchi, T., Curtis, J. D., Chen, Q., Gindin, M., Gubin, M. M., van der Windt, G. J. W., et al. (2015) · Cell · doi:10.1016/j.cell.2015.08.016 · Cited by 3,331
The transcription factor Myc controls metabolic reprogramming upon T lymphocyte activation
Wang, R., Dillon, C. P., Shi, L. Z., Milasta, S., Carter, R., Finkelstein, D., McCormick, L. L., Fitzgerald, P., Chi, H., Munger, J., et al. (2011) · Immunity · doi:10.1016/j.immuni.2011.09.021 · Cited by 2,140
From Krebs to clinic: glutamine metabolism to cancer therapy
Altman, B. J., Stine, Z. E., & Dang, C. V. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.71 · Cited by 2,119
Mitochondrial respiratory capacity is a critical regulator of CD8+ T cell memory development
van der Windt, G. J. W., Everts, B., Chang, C.-H., Curtis, J. D., Freitas, T. C., Amiel, E., Pearce, E. J., & Pearce, E. L. (2012) · Immunity · doi:10.1016/j.immuni.2011.12.007 · Cited by 1,540
The CD28 Signaling Pathway Regulates Glucose Metabolism
Frauwirth, K. A., Riley, J. L., Harris, M. H., Parry, R. V., Rathmell, J. C., Plas, D. R., Elstrom, R. L., June, C. H., & Thompson, C. B. (2002) · Immunity · doi:10.1016/s1074-7613(02)00323-0 · Cited by 1,475
Stine, Z. E., Walton, Z. E., Altman, B. J., Hsieh, A. L., & Dang, C. V. (2015) · Cancer Discovery · doi:10.1158/2159-8290.cd-15-0507 · Cited by 1,435
Fueling Immunity: Insights into Metabolism and Lymphocyte Function
Pearce, E. L., Poffenberger, M. C., Chang, C.-H., & Jones, R. G. (2013) · Science · doi:10.1126/science.1242454 · Cited by 1,363
Glutamine and cancer: cell biology, physiology, and clinical opportunities
Hensley, C. T., Wasti, A. T., & DeBerardinis, R. J. (2013) · Journal of Clinical Investigation · doi:10.1172/jci69600 · Cited by 1,262
Flagged first, then by citations
Cited by
Sorted by citations
Items 1,001–1,001 of 1,001
Jiang, C., Ren, Y., Xue, L., Li, F., Wang, Z., Zhang, A., Li, Y., Xie, Y., Li, J., Yang, K., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2697253/v1
Metadata
- Authors
- Leone, R. D., Zhao, L., Englert, J. M., Sun, I.-M., Oh, M.-H., Sun, I.-H., Arwood, M. L., Bettencourt, I. A., Patel, C. H., Wen, J., Tam, A., Blosser, R. L., Prchalova, E., Alt, J., Rais, R., Slusher, B. S., & Powell, J. D.
- Affiliations
- Johns Hopkins University (US)
- Johns Hopkins Drug Discovery, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
- Corresponding author
- Powell, Jonathan D.
- ORCID
- Venue
- Science
- Published
- 2019-11-22
- Volume
- 366
- Issue
- 6468
- Pages
- 1013-1021
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC7023461
- OpenAlex
- W2985764787
- Cited by
- 1,169
- References
- 57
- Citations by year
- 2026: 143 · 2025: 196 · 2024: 195 · 2023: 181 · 2022: 197 · 2021: 160 · 2020: 92 · 2019: 4
- FWCI
- 35.99
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH Office of the Director (R01CA226765, R01CA229451)
- The Bloomberg∼Kimmel Institute for Cancer Immunotherapy.
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Keywords
- glutamine antagonist, tumor immune evasion, tumor microenvironment, cancer metabolism, oxidative metabolism, glycolysis, tumor hypoxia, tumor acidosis, effector T cells, antitumor immunity, metabolic checkpoint, cancer immunotherapy
- MeSH terms
- Animals, Azo Compounds, Caproates, Citric Acid Cycle, Energy Metabolism, Female, Glucose, Glutamine, Immunologic Memory, Lymphocyte Activation, Male, Mice, Inbred BALB C, Mice, Inbred C57BL, Neoplasms, Experimental, Immunotherapy, Adoptive, Lymphocytes, Tumor-Infiltrating, CD8-Positive T-Lymphocytes, Tumor Escape, Tumor Microenvironment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review