The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
CD24 signalling through macrophage Siglec-10 is a target for cancer immunotherapy
Open accessAbstract
Ovarian cancer and triple-negative breast cancer are among the most lethal diseases affecting women, with few targeted therapies and high rates of metastasis. Cancer cells are capable of evading clearance by macrophages through the overexpression of anti-phagocytic surface proteins called ‘don’t eat me’ signals—including CD471, programmed cell death ligand 1 (PD-L1)2 and the beta-2 microglobulin subunit of the major histocompatibility class I complex (B2M)3. Monoclonal antibodies that antagonize the interaction of ‘don’t eat me’ signals with their macrophage-expressed receptors have demonstrated therapeutic potential in several cancers4,5. However, variability in the magnitude and durability of the response to these agents has suggested the presence of additional, as yet unknown ‘don’t eat me’ signals. Here we show that CD24 can be the dominant innate immune checkpoint in ovarian cancer and breast cancer, and is a promising target for cancer immunotherapy. We demonstrate a role for tumour-expressed CD24 in promoting immune evasion through its interaction with the inhibitory receptor sialic-acid-binding Ig-like lectin 10 (Siglec-10), which is expressed by tumour-associated macrophages. We find that many tumours overexpress CD24 and that tumour-associated macrophages express high levels of Siglec-10. Genetic ablation of either CD24 or Siglec-10, as well as blockade of the CD24–Siglec-10 interaction using monoclonal antibodies, robustly augment the phagocytosis of all CD24-expressing human tumours that we tested. Genetic ablation and therapeutic blockade of CD24 resulted in a macrophage-dependent reduction of tumour growth in vivo and an increase in survival time. These data reveal CD24 as a highly expressed, anti-phagocytic signal in several cancers and demonstrate the therapeutic potential for CD24 blockade in cancer immunotherapy. CD24 interacts with the tumour-associated-macrophage receptor Siglec-10 to inhibit the macrophage-mediated clearance of cancer cells, revealing a new ‘don’t eat me’ signal as a potential target for cancer immunotherapy.
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
MANTOVANI, A., SOZZANI, S., LOCATI, M., ALLAVENA, P., & SICA, A. (2002) · Trends in Immunology · doi:10.1016/s1471-4906(02)02302-5 · Cited by 5,528
Easy quantitative assessment of genome editing by sequence trace decomposition
Brinkman, E. K., Chen, T., Amendola, M., & van Steensel, B. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku936 · Cited by 2,390
PD-1 expression by tumour-associated macrophages inhibits phagocytosis and tumour immunity
Gordon, S. R., Maute, R. L., Dulken, B. W., Hutter, G., George, B. M., McCracken, M. N., Gupta, R., Tsai, J. M., Sinha, R., Corey, D., et al. (2017) · Nature · doi:10.1038/nature22396 · Cited by 2,247
Self-citationMajeti, R., Chao, M. P., Alizadeh, A. A., Pang, W. W., Jaiswal, S., Gibbs, K. D., van Rooijen, N., & Weissman, I. L. (2009) · Cell · doi:10.1016/j.cell.2009.05.045 · Cited by 1,752
Self-citationCD24 and Siglec-10 Selectively Repress Tissue Damage–Induced Immune Responses
Chen, G.-Y., Tang, J., Zheng, P., & Liu, Y. (2009) · Science · doi:10.1126/science.1168988 · Cited by 786
Miksa, M., Komura, H., Wu, R., Shah, K. G., & Wang, P. (2009) · Journal of Immunological Methods · doi:10.1016/j.jim.2008.11.019 · Cited by 320
Siglec-G/10 in self-nonself discrimination of innate and adaptive immunity
Chen, G.-Y., Brown, N. K., Zheng, P., & Liu, Y. (2014) · Glycobiology · doi:10.1093/glycob/cwu068 · Cited by 90
Cited by
Macrophages as tools and targets in cancer therapy
Mantovani, A., Allavena, P., Marchesi, F., & Garlanda, C. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00520-5 · Cited by 1,807
Immune checkpoint therapy—current perspectives and future directions
Sharma, P., Goswami, S., Raychaudhuri, D., Siddiqui, B. A., Singh, P., Nagarajan, A., Liu, J., Subudhi, S. K., Poon, C., Gant, K. L., et al. (2023) · Cell · doi:10.1016/j.cell.2023.03.006 · Cited by 1,206
The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans
The Tabula Sapiens Consortium*, Jones, R. C., Karkanias, J., Krasnow, M. A., Pisco, A. O., Quake, S. R., Salzman, J., Yosef, N., Bulthaup, B., Brown, P., et al. (2022) · Science · doi:10.1126/science.abl4896 · Cited by 1,056
Self-citationClinical relevance of tumour-associated macrophages
Pittet, M. J., Michielin, O., & Migliorini, D. (2022) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-022-00620-6 · Cited by 731
TREM2 Modulation Remodels the Tumor Myeloid Landscape Enhancing Anti-PD-1 Immunotherapy
Molgora, M., Esaulova, E., Vermi, W., Hou, J., Chen, Y., Luo, J., Brioschi, S., Bugatti, M., Omodei, A. S., Ricci, B., et al. (2020) · Cell · doi:10.1016/j.cell.2020.07.013 · Cited by 656
“, 2014), CD24-Siglec10, CD47-SIRPα signaling (Barkal et al., 2019; Iribarren et al., 2018; Veillette and Chen, 2018; Willingham et al., 2012), and CXCR4CXCL12 signaling (Hughes et al.”
Metadata
- Authors
- Barkal, A. A., Brewer, R. E., Markovic, M., Kowarsky, M., Barkal, S. A., Zaro, B. W., Krishnan, V., Hatakeyama, J., Dorigo, O., Barkal, L. J., & Weissman, I. L.
- Venue
- Nature
- Published
- 2019-07-31
- Volume
- 572
- Issue
- 7769
- Pages
- 392-396
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2966214074
- Cited by
- 1,385
- References
- 7
- FWCI
- 41.98
- Type
- journal article
- Language
- en
- Open access
- green
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: CD24 signalling through macrophage Siglec-10 is a target for cancer immunotherapy. https://app.cochat.ai/papers/10.1038/s41586-019-1456-0
- The paper
- Barkal, A. A., Brewer, R. E., Markovic, M., Kowarsky, M., Barkal, S. A., Zaro, B. W., Krishnan, V., Hatakeyama, J., Dorigo, O., Barkal, L. J., & Weissman, I. L. (2019). CD24 signalling through macrophage Siglec-10 is a target for cancer immunotherapy. Nature. https://doi.org/10.1038/s41586-019-1456-0
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.