The DOI matches its Crossref record; 147 of the 147 references it cites were found in a registry or an index.
Monocyte heterogeneity and functions in cancer
Open accessAbstract
Monocytes are innate immune cells of the mononuclear phagocyte system that have emerged as important regulators of cancer development and progression. Our understanding of monocytes has advanced from viewing these cells as a homogenous population to a heterogeneous system of cells that display diverse responses to different stimuli. During cancer, different monocyte subsets perform functions that contribute to both pro- and antitumoral immunity, including phagocytosis, secretion of tumoricidal mediators, promotion of angiogenesis, remodeling of the extracellular matrix, recruitment of lymphocytes, and differentiation into tumor-associated macrophages and dendritic cells. The ability of cancer to evade immune recognition and clearance requires protumoral signals to outweigh ongoing attempts by the host immune system to prevent tumor growth. This review discusses current understanding of monocyte heterogeneity during homeostasis, highlights monocyte functions in cancer progression, and describes monocyte-targeted therapeutic strategies for cancer treatment.
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
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
Tumour-associated macrophages as treatment targets in oncology
Mantovani, A., Marchesi, F., Malesci, A., Laghi, L., & Allavena, P. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2016.217 · Cited by 4,033
Blood Monocytes Consist of Two Principal Subsets with Distinct Migratory Properties
Geissmann, F., Jung, S., & Littman, D. R. (2003) · Immunity · doi:10.1016/s1074-7613(03)00174-2 · Cited by 3,391
Fate Mapping Reveals Origins and Dynamics of Monocytes and Tissue Macrophages under Homeostasis
Yona, S., Kim, K.-W., Wolf, Y., Mildner, A., Varol, D., Breker, M., Strauss-Ayali, D., Viukov, S., Guilliams, M., Misharin, A., et al. (2013) · Immunity · doi:10.1016/j.immuni.2012.12.001 · Cited by 3,245
The extracellular matrix: A dynamic niche in cancer progression
Lu, P., Weaver, V. M., & Werb, Z. (2012) · Journal of Cell Biology · doi:10.1083/jcb.201102147 · Cited by 3,024
Monocyte recruitment during infection and inflammation
Shi, C., & Pamer, E. G. (2011) · Nature Reviews Immunology · doi:10.1038/nri3070 · Cited by 3,015
Modes of resistance to anti-angiogenic therapy
Bergers, G., & Hanahan, D. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2442 · Cited by 2,953
CCL2 recruits inflammatory monocytes to facilitate breast-tumour metastasis
Qian, B.-Z., Li, J., Zhang, H., Kitamura, T., Zhang, J., Campion, L. R., Kaiser, E. A., Snyder, L. A., & Pollard, J. W. (2011) · Nature · doi:10.1038/nature10138 · Cited by 2,874
CSF-1R inhibition alters macrophage polarization and blocks glioma progression
Pyonteck, S. M., Akkari, L., Schuhmacher, A. J., Bowman, R. L., Sevenich, L., Quail, D. F., Olson, O. C., Quick, M. L., Huse, J. T., Teijeiro, V., et al. (2013) · Nature Medicine · doi:10.1038/nm.3337 · Cited by 2,463
Nomenclature of monocytes and dendritic cells in blood
Ziegler-Heitbrock, L., Ancuta, P., Crowe, S., Dalod, M., Grau, V., Hart, D. N., Leenen, P. J. M., Liu, Y.-J., MacPherson, G., Randolph, G. J., et al. (2010) · Blood · doi:10.1182/blood-2010-02-258558 · Cited by 2,436
Cited by
The evolving tumor microenvironment: From cancer initiation to metastatic outgrowth
de Visser, K. E., & Joyce, J. A. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.02.016 · Cited by 4,059
Tumor-Associated Macrophages: Recent Insights and Therapies
Zhou, J., Tang, Z., Gao, S., Li, C., Feng, Y., & Zhou, X. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.00188 · Cited by 619
Immune Cell Membrane‐Coated Biomimetic Nanoparticles for Targeted Cancer Therapy
Oroojalian, F., Beygi, M., Baradaran, B., Mokhtarzadeh, A., & Shahbazi, M. (2021) · Small · doi:10.1002/smll.202006484 · Cited by 528
Computed cancer interactome explains the effects of somatic mutations in cancers
Zhang, J., Pei, J., Durham, J., Bos, T., & Cong, Q. (2022) · Protein Science · doi:10.1002/pro.4479 · Cited by 31
Metadata
- Authors
- Olingy, C. E., Dinh, H. Q., & Hedrick, C. C.
- Venue
- Journal of Leukocyte Biology
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-02-18
- Volume
- 106
- Issue
- 2
- Pages
- 309-322
- ISSN
- 0741-5400 (ISSN-L)
- 1938-3673
- OpenAlex
- W2916964158
- Cited by
- 579
- References
- 147
- FWCI
- 21.07
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Monocyte heterogeneity and functions in cancer. https://app.cochat.ai/papers/10.1002/jlb.4ri0818-311r
- The paper
- Olingy, C. E., Dinh, H. Q., & Hedrick, C. C. (2019). Monocyte heterogeneity and functions in cancer. Journal of Leukocyte Biology. https://doi.org/10.1002/jlb.4ri0818-311r
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.
