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Cited by 591

The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.

Macrophage Polarization Contributes to Glioblastoma Eradication by Combination Immunovirotherapy and Immune Checkpoint Blockade

Open access
Saha, Dipongkor, Martuza, Robert L., Rabkin, Samuel D.·2017·Cancer Cell

Abstract

Summary Glioblastoma is an immunosuppressive, fatal brain cancer that contains glioblastoma stem-like cells (GSCs). Oncolytic herpes simplex virus (oHSV) selectively replicates in cancer cells, while inducing anti-tumor immunity. OHSV G47Δ expressing murine IL-12 (G47Δ-mIL12), antibodies to immune checkpoints (CTLA-4, PD-1, PD-L1), or dual combinations modestly extended survival of a mouse glioma model. However, the triple combination of anti-CTLA-4, anti-PD-1, and G47Δ-mIL12 cured most mice in two glioma models. This treatment was associated with macrophage influx and M1-like polarization, along with increased T effector to T regulatory cell ratios. Immune cell depletion studies demonstrated that CD4+ and CD8+ T cells as well as macrophages are required for synergistic curative activity. This combination should be translatable to the clinic and other immunosuppressive cancers.

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Metadata

Authors
Saha, D., Martuza, R. L., & Rabkin, S. D.
Venue
Cancer Cell
Publisher
Elsevier BV
Published
2017-08
Volume
32
Issue
2
Pages
253-267.e5
ISSN
1535-6108 (ISSN-L)
OpenAlex
W2748217844
Cited by
591
References
69
FWCI
20.03
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Macrophage Polarization Contributes to Glioblastoma Eradication by Combination Immunovirotherapy and Immune Checkpoint Blockade. https://app.cochat.ai/papers/10.1016/j.ccell.2017.07.006
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Saha, D., Martuza, R. L., & Rabkin, S. D. (2017). Macrophage Polarization Contributes to Glioblastoma Eradication by Combination Immunovirotherapy and Immune Checkpoint Blockade. Cancer Cell. https://doi.org/10.1016/j.ccell.2017.07.006

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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.