CD8 T Cell–Independent Antitumor Response and Its Potential for Treatment of Malignant Gliomas
Open accessAbstract
Malignant brain tumors continue to represent a devastating diagnosis with no real chance for cure. Despite an increasing list of potential salvage therapies, standard-of-care for these patients has not changed in over a decade. Immunotherapy has been seen as an exciting option, with the potential to offer specific and long lasting tumor clearance. The “gold standard” in immunotherapy has been the development of a tumor-specific CD8 T cell response to potentiate tumor clearance and immunological memory. While many advances have been made in the field of immunotherapy, few therapies have seen true success. Many of the same principles used to develop immunotherapy in tumors of the peripheral organs have been applied to brain tumor immunotherapy. The immune-specialized nature of the brain should call into question whether this approach is appropriate. Recent results from our own experiments require a rethinking of current dogma. Perhaps a CD8 T cell response is not sufficient for an organ as immunologically unique as the brain. Examination of previously elucidated principles of the brain’s immune-specialized status and known immunological preferences should generate discussion and experimentation to address the failure of current therapies.
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Treg cells functionally repress the tumor-killing activity of CD8+ T cells through various activities, including TGF-β1 activation.
“These then functionally repress, through various activities, including TGF-β1 activation82,145, the tumor-killing activity of CD8+ T cells 58,63,82,145,218,219”
From TGFβ biology in cancer progression and immunotherapy (2021) · cites this paper as [218]
Treg cells contribute to macrophage and neutrophil polarization towards a regenerative rather than inflammatory cell state.
“and contribute to macrophage and neutrophil polarization towards a regenerative rather than inflammatory cell state58,63,82,145,172,173,218,219.”
From TGFβ biology in cancer progression and immunotherapy (2021) · cites this paper as [218]
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Flagged first, then by citations
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TGFβ biology in cancer progression and immunotherapy
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“CD8 T-cell have the potential to treat glioblastoma via CAR T-cell therapy (Murphy and Griffith, 2016).”
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BackgroundImmunoediting Dynamics in Glioblastoma: Implications for Immunotherapy Approaches
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“Given that robust immune function is crucial in controlling cancer initiation and growth and for the success of anti-cancer therapies 22 , we reasoned that a better understanding of patient ’ s immune system status at the onset of the disease would guide in designing more…”
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- Authors
- Murphy, K., & Griffith, T.
- Affiliations
- University of Minnesota (US)
- Corresponding author
- Murphy, Katherine
- ORCID
- Griffith, Thomas
- Venue
- Cancers
- Publisher
- MDPI AG
- Published
- 2016-07-27
- Volume
- 8
- Issue
- 8
- Pages
- 71
- ISSN
- 2072-6694 (ISSN-L)
- PMC
- PMC4999780
- OpenAlex
- W2501965469
- Cited by
- 11
- References
- 107
- Citations by year
- 2026: 2 · 2024: 3 · 2023: 2 · 2022: 1 · 2021: 1 · 2020: 1 · 2018: 1
- FWCI
- 0.04
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cancers (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Cancer Institute (P30CA077598)
- Topics
- Health Sciences › Medicine › Genetics › Glioma Diagnosis and Treatment
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Keywords
- CD8+ T cells, high-grade glioma, brain tumor immunotherapy, tumor-specific T cell responses, immunological memory, salvage therapy
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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.
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