The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.
CCR2 inhibition reduces tumor myeloid cells and unmasks a checkpoint inhibitor effect to slow progression of resistant murine gliomas
Open accessAbstract
Significance: Standard of care for glioblastoma (GBM) results in median survival of <15 mo with 5-y survival <10%, highlighting the need for novel treatments. Immune checkpoint blockade has been successful in various cancer subtypes. However, success has not extended to GBM, largely due to the characteristically immune-suppressive glioma microenvironment. Here, we report targeting of myeloid derived suppressor cells (MDSCs), via inhibition of CCR2, unmasks efficacy of checkpoint blockade in GBM. Using checkpoint inhibitor-resistant murine glioma models, we show combination treatment reduces MDSCs and increases functional T cells within the tumors, and significantly extends overall survival. Our results support targeting of CCR2-expressing myeloid cells to enhance immunotherapies for GBM, and warrant translation of this approach to early human clinical trials.
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.
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
Radiotherapy Plus Concomitant and Adjuvant Temozolomide for Glioblastoma
Stupp, R., Mason, W. P., van den Bent, M. J., Weller, M., Fisher, B., Taphoorn, M. J. B., Belanger, K., Brandes, A. A., Marosi, C., Bogdahn, U., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa043330 · Cited by 21,807
Nivolumab versus Docetaxel in Advanced Squamous-Cell Non–Small-Cell Lung Cancer
Brahmer, J., Reckamp, K. L., Baas, P., Crinò, L., Eberhardt, W. E. E., Poddubskaya, E., Antonia, S., Pluzanski, A., Vokes, E. E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504627 · Cited by 8,447
Stupp, R., Hegi, M. E., Mason, W. P., van den Bent, M. J., Taphoorn, M. J., Janzer, R. C., Ludwin, S. K., Allgeier, A., Fisher, B., Belanger, K., et al. (2009) · The Lancet Oncology · doi:10.1016/s1470-2045(09)70025-7 · Cited by 7,668
Myeloid-derived-suppressor cells as regulators of the immune system
Gabrilovich, D. I., & Nagaraj, S. (2009) · Nature Reviews Immunology · doi:10.1038/nri2506 · Cited by 6,753
Pembrolizumab versus Ipilimumab in Advanced Melanoma
Robert, C., Schachter, J., Long, G. V., Arance, A., Grob, J. J., Mortier, L., Daud, A., Carlino, M. S., McNeil, C., Lotem, M., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1503093 · Cited by 5,887
Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion
Dong, H., Strome, S. E., Salomao, D. R., Tamura, H., Hirano, F., Flies, D. B., Roche, P. C., Lu, J., Zhu, G., Tamada, K., et al. (2002) · Nature Medicine · doi:10.1038/nm730 · Cited by 5,025
Wen, P. Y., & Kesari, S. (2008) · New England Journal of Medicine · doi:10.1056/nejmra0708126 · Cited by 3,511
Nivolumab and ipilimumab versus ipilimumab in untreated melanoma
Postow, M. A., Chesney, J., Pavlick, A. C., Robert, C., Grossmann, K., McDermott, D., Linette, G. P., Meyer, N., Giguere, J. K., Agarwala, S. S., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1414428 · Cited by 2,781 · cited 1×
“The use of checkpoint inhibitors in certain cancers such as melanoma (17, 18), lung (19), renal cell carcinoma (20), colon (21), and hepatocellular carcinoma (22, 23) has proven effective.”
BackgroundMalignant astrocytic glioma: genetics, biology, and paths to treatment
Furnari, F. B., Fenton, T., Bachoo, R. M., Mukasa, A., Stommel, J. M., Stegh, A., Hahn, W. C., Ligon, K. L., Louis, D. N., Brennan, C., et al. (2007) · Genes & Development · doi:10.1101/gad.1596707 · Cited by 2,316
Targeting Tim-3 and PD-1 pathways to reverse T cell exhaustion and restore anti-tumor immunity
Sakuishi, K., Apetoh, L., Sullivan, J. M., Blazar, B. R., Kuchroo, V. K., & Anderson, A. C. (2010) · Journal of Experimental Medicine · doi:10.1084/jem.20100643 · Cited by 2,072
Cited by
Myeloid-derived suppressor cells as immunosuppressive regulators and therapeutic targets in cancer
Li, K., Shi, H., Zhang, B., Ou, X., Ma, Q., Chen, Y., Shu, P., Li, D., & Wang, Y. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00670-9 · Cited by 988
Immunosuppressive cells in cancer: mechanisms and potential therapeutic targets
Tie, Y., Tang, F., Wei, Y.-Q., & Wei, X.-W. (2022) · Journal of Hematology & Oncology · doi:10.1186/s13045-022-01282-8 · Cited by 591
Korbecki, J., Kojder, K., Simińska, D., Bohatyrewicz, R., Gutowska, I., Chlubek, D., & Baranowska-Bosiacka, I. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21218412 · Cited by 465
Myeloid-derived suppressor cells: an emerging target for anticancer immunotherapy
Wu, Y., Yi, M., Niu, M., Mei, Q., & Wu, K. (2022) · Molecular Cancer · doi:10.1186/s12943-022-01657-y · Cited by 458
Targeting cytokine and chemokine signaling pathways for cancer therapy
Yi, M., Li, T., Niu, M., Zhang, H., Wu, Y., Wu, K., & Dai, Z. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01868-3 · Cited by 455
Metadata
- Authors
- Flores-Toro, J. A., Luo, D., Gopinath, A., Sarkisian, M. R., Campbell, J. J., Charo, I. F., Singh, R., Schall, T. J., Datta, M., Jain, R. K., Mitchell, D. A., & Harrison, J. K.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2019-12-26
- Volume
- 117
- Issue
- 2
- Pages
- 1129-1138
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2997058272
- Cited by
- 334
- References
- 79
- FWCI
- 16.21
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: CCR2 inhibition reduces tumor myeloid cells and unmasks a checkpoint inhibitor effect to slow progression of resistant murine gliomas. https://app.cochat.ai/papers/10.1073/pnas.1910856117
- The paper
- Flores-Toro, J. A., Luo, D., Gopinath, A., Sarkisian, M. R., Campbell, J. J., Charo, I. F., Singh, R., Schall, T. J., Datta, M., Jain, R. K., Mitchell, D. A., & Harrison, J. K. (2020). CCR2 inhibition reduces tumor myeloid cells and unmasks a checkpoint inhibitor effect to slow progression of resistant murine gliomas. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1910856117
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
