The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
From the bench to the bedside: ways to improve rituximab efficacy
Open accessAbstract
Rituximab (MabThera, Rituxan) is a chimeric IgG1 monoclonal antibody that specifically targets the CD20 surface antigen expressed on normal and neoplastic B-lymphoid cells. Rituximab is currently used in the treatment of both follicular and aggressive B-cell non-Hodgkin lymphomas. Despite its demonstrated clinical effectiveness, its in vivo mechanisms of action remain unknown and could differ by subtype of lymphoma. Rituximab has been shown to induce apoptosis, complement-mediated lysis, and antibody-dependent cellular cytotoxicity in vitro, and some evidence points toward an involvement of these mechanisms in vivo. Rituximab also has a delayed therapeutic effect as well as a potential “vaccinal” effect. Here, we review the current understanding of the mechanism of action of rituximab and discuss approaches that could increase its clinical activity. A better understanding of how rituximab acts in vivo should make it possible to develop new and more effective therapeutic strategies. (Blood. 2004;104:2635-2642)
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Inhibitory Fc receptors modulate in vivo cytoxicity against tumor targets
Clynes, R. A., Towers, T. L., Presta, L. G., & Ravetch, J. V. (2000) · Nature Medicine · doi:10.1038/74704 · Cited by 2,768 · cited 1×
“activating FcγR are probably not the only receptors implicated in the anti-tumor response because FcγRIIb-deficient mice display a better tumoral reduction.(72)”
BackgroundShinkawa, T., Nakamura, K., Yamane, N., Shoji-Hosaka, E., Kanda, Y., Sakurada, M., Uchida, K., Anazawa, H., Satoh, M., Yamasaki, M., et al. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m210665200 · Cited by 1,413
Umaña, P., Jean–Mairet, J., Moudry, R., Amstutz, H., & Bailey, J. E. (1999) · Nature Biotechnology · doi:10.1038/6179 · Cited by 764
Winkler, U., Jensen, M., Manzke, O., Schulz, H., Diehl, V., & Engert, A. (1999) · Blood · doi:10.1182/blood.v94.7.2217.419k02_2217_2224 · Cited by 657
Davies, J., Jiang, L., Pan, L., LaBarre, M. J., Anderson, D., & Reff, M. (2001) · Biotechnology and Bioengineering · doi:10.1002/bit.1119 · Cited by 327
Hematopoietic lineage- and stage-restricted expression of the ETS oncogene family member PU.1
Hromas, R., Orazi, A., Neiman, R., Maki, R., Van Beveran, C., Moore, J., & Klemsz, M. (1993) · Blood · doi:10.1182/blood.v82.10.2998.2998 · Cited by 216
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Mössner, E., Brünker, P., Moser, S., Püntener, U., Schmidt, C., Herter, S., Grau, R., Gerdes, C., Nopora, A., van Puijenbroek, E., et al. (2010) · Blood · doi:10.1182/blood-2009-06-225979 · Cited by 981
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Metadata
- Authors
- Cartron, G., Watier, H., Golay, J., & Solal-Celigny, P.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2004-11-01
- Volume
- 104
- Issue
- 9
- Pages
- 2635-2642
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2043946207
- Cited by
- 523
- References
- 6
- FWCI
- 27.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Cartron, G., Watier, H., Golay, J., & Solal-Celigny, P. (2004). From the bench to the bedside: ways to improve rituximab efficacy. Blood. https://doi.org/10.1182/blood-2004-03-1110
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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.
