The DOI matches its Crossref record; 124 of the 124 references it cites were found in a registry or an index.
CD44 as a tumor biomarker and therapeutic target
Open accessAbstract
CD44, a complex transmembrane glycoprotein, exists in multiple molecular forms, including the standard isoform CD44s and CD44 variant isoforms. CD44 participates in multiple physiological processes, and aberrant expression and dysregulation of CD44 contribute to tumor initiation and progression. CD44 represents a common biomarker of cancer stem cells, and promotes epithelial-mesenchymal transition. CD44 is involved in the regulation of diverse vital signaling pathways that modulate cancer proliferation, invasion, metastasis and therapy-resistance, and it is also modulated by a variety of molecules in cancer cells. In addition, CD44 can serve as an adverse prognostic marker among cancer population. The pleiotropic roles of CD44 in carcinoma potentially offering new molecular target for therapeutic intervention. Preclinical and clinical trials for evaluating the pharmacokinetics, efficacy and drug-related toxicity of CD44 monoclonal antibody have been carried out among tumors with CD44 expression. In this review, we focus on current data relevant to CD44, and outline CD44 structure, the regulation of CD44, functional properties of CD44 in carcinogenesis and cancer progression as well as the potential CD44-targeting therapy for cancer management.
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Lehmann, B. D., Bauer, J. A., Chen, X., Sanders, M. E., Chakravarthy, A. B., Shyr, Y., & Pietenpol, J. A. (2011) · Journal of Clinical Investigation · doi:10.1172/jci45014 · Cited by 5,592
Circulating Breast Tumor Cells Exhibit Dynamic Changes in Epithelial and Mesenchymal Composition
Yu, M., Bardia, A., Wittner, B. S., Stott, S. L., Smas, M. E., Ting, D. T., Isakoff, S. J., Ciciliano, J. C., Wells, M. N., Shah, A. M., et al. (2013) · Science · doi:10.1126/science.1228522 · Cited by 2,476
Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasis
Aceto, N., Bardia, A., Miyamoto, D. T., Donaldson, M. C., Wittner, B. S., Spencer, J. A., Yu, M., Pely, A., Engstrom, A., Zhu, H., et al. (2014) · Cell · doi:10.1016/j.cell.2014.07.013 · Cited by 2,441
CD44: From adhesion molecules to signalling regulators
Ponta, H., Sherman, L., & Herrlich, P. A. (2003) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1004 · Cited by 2,386
Metastatic potential correlates with enzymatic degradation of basement membrane collagen
Liotta, L. A., Tryggvason, K., Garbisa, S., Hart, I., Foltz, C. M., & Shafie, S. (1980) · Nature · doi:10.1038/284067a0 · Cited by 1,768
The biology and role of CD44 in cancer progression: Therapeutic implications
Chen, C., Zhao, S., Karnad, A., & Freeman, J. W. (2018) · Journal of Hematology & Oncology · doi:10.1186/s13045-018-0605-5 · Cited by 1,245
Liu, S., Cong, Y., Wang, D., Sun, Y., Deng, L., Liu, Y., Martin-Trevino, R., Shang, L., McDermott, S. P., Landis, M. D., et al. (2014) · Stem Cell Reports · doi:10.1016/j.stemcr.2013.11.009 · Cited by 1,053
Receptor-Ligand Interaction Between CD44 and Osteopontin (Eta-1)
Weber, G. F., Ashkar, S., Glimcher, M. J., & Cantor, H. (1996) · Science · doi:10.1126/science.271.5248.509 · Cited by 949
Yan, Y., Zuo, X., & Wei, D. (2015) · Stem Cells Translational Medicine · doi:10.5966/sctm.2015-0048 · Cited by 633
Naor, D., Nedvetzki, S., Golan, I., Melnik, L., & Faitelson, Y. (2002) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408360290795574 · Cited by 557
Cited by
Tumor organoids: applications in cancer modeling and potentials in precision medicine
Xu, H., Jiao, D., Liu, A., & Wu, K. (2022) · Journal of Hematology & Oncology · doi:10.1186/s13045-022-01278-4 · Cited by 286
Self-citationThe membrane receptor CD44: novel insights into metabolism
Weng, X., Maxwell-Warburton, S., Hasib, A., Ma, L., & Kang, L. (2022) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2022.02.002 · Cited by 254
Metadata
- Authors
- Xu, H., Niu, M., Yuan, X., Wu, K., & Liu, A.
- Venue
- Experimental Hematology & Oncology
- Published
- 2020-12
- Volume
- 9
- Issue
- 1
- Pages
- 36-36
- ISSN
- 2162-3619 (ISSN-L)
- OpenAlex
- W3113286963
- Cited by
- 389
- References
- 124
- FWCI
- 19.72
- Type
- journal article
- Language
- en
- Open access
- gold
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- Xu, H., Niu, M., Yuan, X., Wu, K., & Liu, A. (2020). CD44 as a tumor biomarker and therapeutic target. Experimental Hematology & Oncology. https://doi.org/10.1186/s40164-020-00192-0
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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.
