The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Cancer-Specific Loss of p53 Leads to a Modulation of Myeloid and T Cell Responses
Open accessAbstract
Loss of p53 function contributes to the development of many cancers. While cell-autonomous consequences of p53 mutation have been studied extensively, the role of p53 in regulating the anti-tumor immune response is still poorly understood. Here, we show that loss of p53 in cancer cells modulates the tumor-immune landscape to circumvent immune destruction. Deletion of p53 promotes the recruitment and instruction of suppressive myeloid CD11b + cells, in part through increased expression of CXCR3/CCR2-associated chemokines and macrophage colony-stimulating factor (M-CSF), and attenuates the CD4 + T helper 1 (Th1) and CD8 + T cell responses in vivo . p53-null tumors also show an accumulation of suppressive regulatory T (Treg) cells. Finally, we show that two key drivers of tumorigenesis, activation of KRAS and deletion of p53, cooperate to promote immune tolerance.
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
NIH Image to ImageJ: 25 years of image analysis
Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012) · Nature Methods · doi:10.1038/nmeth.2089 · Cited by 64,638
Cerami, E., Gao, J., Dogrusoz, U., Gross, B. E., Sumer, S. O., Aksoy, B. A., Jacobsen, A., Byrne, C. J., Heuer, M. L., Larsson, E., et al. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0095 · Cited by 17,455
QuPath: Open source software for digital pathology image analysis
Bankhead, P., Loughrey, M. B., Fernández, J. A., Dombrowski, Y., McArt, D. G., Dunne, P. D., McQuaid, S., Gray, R. T., Murray, L. J., Coleman, H. G., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-17204-5 · Cited by 8,908
p53 Mutations in Human Cancers
Hollstein, M., Sidransky, D., Vogelstein, B., & Harris, C. C. (1991) · Science · doi:10.1126/science.1905840 · Cited by 8,018
Cancer immunotherapy using checkpoint blockade
Ribas, A., & Wolchok, J. D. (2018) · Science · doi:10.1126/science.aar4060 · Cited by 6,791
Tumor-Associated Macrophages: From Mechanisms to Therapy
Noy, R., & Pollard, J. W. (2014) · Immunity · doi:10.1016/j.immuni.2014.06.010 · Cited by 4,089
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
Melanoma-intrinsic β-catenin signalling prevents anti-tumour immunity
Spranger, S., Bao, R., & Gajewski, T. F. (2015) · Nature · doi:10.1038/nature14404 · Cited by 2,830
Senescence and tumour clearance is triggered by p53 restoration in murine liver carcinomas
Xue, W., Zender, L., Miething, C., Dickins, R. A., Hernando, E., Krizhanovsky, V., Cordon-Cardo, C., & Lowe, S. W. (2007) · Nature · doi:10.1038/nature05529 · Cited by 2,473
Oncogenic Kras maintains pancreatic tumors through regulation of anabolic glucose metabolism
Ying, H., Kimmelman, A. C., Lyssiotis, C. A., Hua, S., Chu, G. C., Fletcher-Sananikone, E., Locasale, J. W., Son, J., Zhang, H., Coloff, J. L., et al. (2012) · Cell · doi:10.1016/j.cell.2012.01.058 · Cited by 2,043
Cited by
Metabolites and the Tumour Microenvironment: From Cellular Mechanisms to Systemic Metabolism
Elia, I., & Haigis, M. C. (2021) · Nature Metabolism · doi:10.1038/s42255-020-00317-z · Cited by 651
Mutant p53 in cancer: from molecular mechanism to therapeutic modulation
Chen, X., Zhang, T., Su, W., Dou, Z., Zhao, D., Jin, X., Lei, H., Wang, J., Xie, X., Cheng, B., et al. (2022) · Cell Death & Disease · doi:10.1038/s41419-022-05408-1 · Cited by 494
p53, cancer and the immune response
Blagih, J., Buck, M. D., & Vousden, K. H. (2020) · Journal of Cell Science · doi:10.1242/jcs.237453 · Cited by 333
Self-citationInflamed and non-inflamed classes of HCC: a revised immunogenomic classification
Montironi, C., Castet, F., Haber, P. K., Pinyol, R., Torres-Martin, M., Torrens, L., Mesropian, A., Wang, H., Puigvehi, M., Maeda, M., et al. (2023) · Gut · doi:10.1136/gutjnl-2021-325918 · Cited by 253
p53 engages the cGAS/STING cytosolic DNA sensing pathway for tumor suppression
Ghosh, M., Saha, S., Li, J., Montrose, D. C., & Martinez, L. A. (2023) · Molecular Cell · doi:10.1016/j.molcel.2022.12.023 · Cited by 166
Metadata
- Authors
- Blagih, J., Zani, F., Chakravarty, P., Hennequart, M., Pilley, S., Hobor, S., Hock, A. K., Walton, J. B., Morton, J. P., Gronroos, E., Mason, S., Yang, M., McNeish, I., Swanton, C., Blyth, K., & Vousden, K. H.
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 30
- Issue
- 2
- Pages
- 481-496.e6
- ISSN
- 2211-1247 (ISSN-L)
- OpenAlex
- W3000319768
- Cited by
- 173
- References
- 22
- FWCI
- 8.09
- Type
- journal article
- Language
- en
- Open access
- gold
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: Cancer-Specific Loss of p53 Leads to a Modulation of Myeloid and T Cell Responses. https://app.cochat.ai/papers/10.1016/j.celrep.2019.12.028
- The paper
- Blagih, J., Zani, F., Chakravarty, P., Hennequart, M., Pilley, S., Hobor, S., Hock, A. K., Walton, J. B., Morton, J. P., Gronroos, E., Mason, S., Yang, M., McNeish, I., Swanton, C., Blyth, K., & Vousden, K. H. (2020). Cancer-Specific Loss of p53 Leads to a Modulation of Myeloid and T Cell Responses. Cell Reports. https://doi.org/10.1016/j.celrep.2019.12.028
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.
