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p53 at the crossroads of tumor immunity
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“Loss of p53 function can also contribute to immune evasion by influencing immune cell recruitment to the tumor, cytokine secretion in the tumor microenvironment, and inflammatory signaling pathways.”
From The TP53 tumor suppressor gene: From molecular biology to clinical investigations (2025) · cites this paper as [69]
In the citing paper
“More recent studies have shown that p53 can also modulate innate and adaptive immunity involved in the homeostatic regulation of immune responses [68, 69, 70].”
From The TP53 tumor suppressor gene: From molecular biology to clinical investigations (2025) · cites this paper as [69]
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IL-17-producing γδ T cells and neutrophils conspire to promote breast cancer metastasis
Coffelt, S. B., Kersten, K., Doornebal, C. W., Weiden, J., Vrijland, K., Hau, C.-S., Verstegen, N. J. M., Ciampricotti, M., Hawinkels, L. J. A. C., Jonkers, J., et al. (2015) · Nature · doi:10.1038/nature14282 · Cited by 1,703
Mutant p53 gain of function in two mouse models of Li-Fraumeni syndrome
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Regulation of tumor angiogenesis by p53-induced degradation of hypoxia-inducible factor 1α
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Non-Cell-Autonomous Tumor Suppression by p53
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“Another study revealed that p53 depletion in hepatic stellate cells induces secretion of cytokines that mediate macrophage polarization into M2 macrophages, which occurs along with their transformation into hepatocellular carcinomas 85 .”
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Metadata
- Authors
- Efe, G., Rustgi, A. K., & Prives, C.
- Venue
- Nature Cancer
- Published
- 2024-07-15
- Volume
- 5
- Issue
- 7
- Pages
- 983-995
- ISSN
- 2662-1347
- Cited by
- 83
- References
- 22
- Language
- en
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
- Funders
- U.S. Department of Health & Human Services | NIH | National Cancer Institute (R35CA220526, P30CA013696, F31CA275369-02, P01-CA098101, R01CA272903-01)
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 ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: p53 at the crossroads of tumor immunity. https://app.cochat.ai/papers/10.1038/s43018-024-00796-z
- The paper
- Efe, G., Rustgi, A. K., & Prives, C. (2024). p53 at the crossroads of tumor immunity. Nature Cancer. https://doi.org/10.1038/s43018-024-00796-z
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.