The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Macrophage polarity in cancer: A review
Abstract
Macrophages are the most abundant cells within the tumor stroma displaying noticeable plasticity, which allows them to perform several functions within the tumor microenvironment. Tumor‐associated macrophages commonly refer to an alternative M2 phenotype, exhibiting anti‐inflammatory and pro‐tumoral effects. M2 cells are highly versatile and multi‐tasking cells that directly influence multiple steps in tumor development, including cancer cell survival, proliferation, stemness, and invasiveness along with angiogenesis and immunosuppression. M2 cells perform these functions through critical interactions with cells related to tumor progression, including Th2 cells, cancer‐associated fibroblasts, cancer cells, regulatory T cells (Tregs), and myeloid‐derived suppressor cells. M2 cells also have negative cross‐talks with tumor suppressor cells, including cytotoxic T cells and natural killer cells. Programed death‐1 (PD‐1) is one of the key receptors expressed in M2 cells that, upon interaction with its ligand PD‐L1, plays cardinal roles for induction of immune evasion in cancer cells. In addition, M2 cells can neutralize the effects of the pro‐inflammatory and anti‐tumor M1 phenotype. Classically activated M1 cells express high levels of major histocompatibility complex molecules, and the cells are strong killers of cancer cells. Therefore, orchestrating M2 reprogramming toward an M1 phenotype would offer a promising approach for reversing the fate of tumor and promoting cancer regression. Macrophage switching toward an anti‐inflammatory M1 phenotype could be used as an adjuvant with other approaches, including radiotherapy and immune checkpoint blockades, such as anti‐PD‐L1/PD‐1 strategies.
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
Understanding the tumor immune microenvironment (TIME) for effective therapy
Binnewies, M., Roberts, E. W., Kersten, K., Chan, V., Fearon, D. F., Merad, M., Coussens, L. M., Gabrilovich, D. I., Ostrand-Rosenberg, S., Hedrick, C. C., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0014-x · Cited by 6,145
Wang, X., Luo, G., Zhang, K., Cao, J., Huang, C., Jiang, T., Liu, B., Su, L., & Qiu, Z. (2018) · Cancer Research · doi:10.1158/0008-5472.can-17-3841 · Cited by 767
A peek into cancer-associated fibroblasts: origins, functions and translational impact
LeBleu, V. S., & Kalluri, R. (2018) · Disease Models & Mechanisms · doi:10.1242/dmm.029447 · Cited by 537
Chen, D., Xie, J., Fiskesund, R., Dong, W., Liang, X., Lv, J., Jin, X., Liu, J., Mo, S., Zhang, T., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03225-9 · Cited by 489
Albini, A., Bruno, A., Noonan, D. M., & Mortara, L. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00527 · Cited by 392
Kato, T., Noma, K., Ohara, T., Kashima, H., Katsura, Y., Sato, H., Komoto, S., Katsube, R., Ninomiya, T., Tazawa, H., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-0205 · Cited by 367
Macrophages: The Road Less Traveled, Changing Anticancer Therapy
Guerriero, J. L. (2018) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2018.03.006 · Cited by 293
Sialic Acid Blockade Suppresses Tumor Growth by Enhancing T-cell–Mediated Tumor Immunity
Büll, C., Boltje, T. J., Balneger, N., Weischer, S. M., Wassink, M., van Gemst, J. J., Bloemendal, V. R., Boon, L., van der Vlag, J., Heise, T., et al. (2018) · Cancer Research · doi:10.1158/0008-5472.can-17-3376 · Cited by 268
Parayath, N. N., Parikh, A., & Amiji, M. M. (2018) · Nano Letters · doi:10.1021/acs.nanolett.8b00689 · Cited by 262
Re-polarization of tumor-associated macrophages to pro-inflammatory M1 macrophages by microRNA-155
Cai, X., Yin, Y., Li, N., Zhu, D., Zhang, J., Zhang, C.-Y., & Zen, K. (2012) · Journal of Molecular Cell Biology · doi:10.1093/jmcb/mjs044 · Cited by 260
Cited by
Orecchioni, M., Ghosheh, Y., Pramod, A. B., & Ley, K. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01084 · Cited by 2,063
Engineering Macrophages for Cancer Immunotherapy and Drug Delivery
Xia, Y., Rao, L., Yao, H., Wang, Z., Ning, P., & Chen, X. (2020) · Advanced Materials · doi:10.1002/adma.202002054 · Cited by 949
The Next Decade of Immune Checkpoint Therapy
Sharma, P., Siddiqui, B. A., Anandhan, S., Yadav, S. S., Subudhi, S. K., Gao, J., Goswami, S., & Allison, J. P. (2021) · Cancer Discovery · doi:10.1158/2159-8290.cd-20-1680 · Cited by 750
Cancer stem cells (CSCs) in cancer progression and therapy
Najafi, M., Farhood, B., & Mortezaee, K. (2019) · Journal of Cellular Physiology · doi:10.1002/jcp.27740 · Cited by 573
Self-citationImmunotherapy: Reshape the Tumor Immune Microenvironment
LV, B., Wang, Y., Ma, D., Cheng, W., Liu, J., Yong, T., Chen, H., & Wang, C. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.844142 · Cited by 482
Metadata
- Authors
- Najafi, M., Hashemi Goradel, N., Farhood, B., Salehi, E., Nashtaei, M. S., Khanlarkhani, N., Khezri, Z., Majidpoor, J., Abouzaripour, M., Habibi, M., Kashani, I. R., & Mortezaee, K.
- Venue
- Journal of Cellular Biochemistry
- Publisher
- Wiley
- Published
- 2018-09-30
- Volume
- 120
- Issue
- 3
- Pages
- 2756-2765
- ISSN
- 0730-2312 (ISSN-L)
- 1097-4644
- OpenAlex
- W2895594057
- Cited by
- 489
- References
- 43
- FWCI
- 14.91
- Type
- journal article
- Language
- en
- Open access
- closed
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: Macrophage polarity in cancer: A review. https://app.cochat.ai/papers/10.1002/jcb.27646
- The paper
- Najafi, M., Hashemi Goradel, N., Farhood, B., Salehi, E., Nashtaei, M. S., Khanlarkhani, N., Khezri, Z., Majidpoor, J., Abouzaripour, M., Habibi, M., Kashani, I. R., & Mortezaee, K. (2019). Macrophage polarity in cancer: A review. Journal of Cellular Biochemistry. https://doi.org/10.1002/jcb.27646
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.
