<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Monoclonal antibodies in myeloma.

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2015 Netherlands, Denmark English Publisher:Millennium Medical Publishing, Inc.Journal:Clinical advances in hematology & oncology : H&O, volume 13 (issn: 1543-0790,

Authors: Sondergeld, P.; van de Donk, N. W. C. J.; Richardson, P. G.; Plesner, T.;

pmid: 26452191

Monoclonal antibodies in myeloma.

- Summary
- Subjects
- Metrics

Abstract

The development of monoclonal antibodies (mAbs) for the treatment of disease goes back to the vision of Paul Ehrlich in the late 19th century; however, the first successful treatment with a mAb was not until 1982, in a lymphoma patient. In multiple myeloma, mAbs are a very recent and exciting addition to the therapeutic armamentarium. The incorporation of mAbs into current treatment strategies is hoped to enable more effective and targeted treatment, resulting in improved outcomes for patients. A number of targets have been identified, including molecules on the surface of the myeloma cell and components of the bone marrow microenvironment. Our review focuses on a small number of promising mAbs directed against molecules on the surface of myeloma cells, including CS1 (elotuzumab), CD38 (daratumumab, SAR650984, MOR03087), CD56 (lorvotuzumab mertansine), and CD138/syndecan-1 (BT062/indatuximab ravtansine).

Countries

Netherlands, Denmark

Related Organizations

Harvard University
United States
Justus Liebig University Giessen
Germany
Vejle Sygehus
Denmark
Dana-Farber Cancer Institute
United States
Amsterdam UMC, location VUmc
Netherlands

View all View all

Keywords

Antibodies, Monoclonal, Antineoplastic Agents, Treatment Outcome, Antineoplastic Combined Chemotherapy Protocols, Biomarkers, Tumor, Humans, Molecular Targeted Therapy, antineoplastic activity article cancer incidence cell adhesion complement dependent cytotoxicity diarrhea fatigue human immune response *multiple myeloma/dt [Drug Therapy] nausea neutropenia peripheral neuropathy personalized medicine protein expression signal transduction thrombocytopenia tumor microenvironment ave 1642 bevacizumab bortezomib carfilzomib CD38 antigen CD56 antigen cixutumumab dacetuzumab daratumumab/ct [Clinical Trial] daratumumab/dt [Drug Therapy] denosumab dexamethasone elotuzumab/ct [Clinical Trial] elotuzumab/dt [Drug Therapy] figitumumab indatuximab ravtansine/ct [Clinical Trial] indatuximab ravtansine/dt [Drug Therapy] isatuximab/ct [Clinical Trial] isatuximab/dt [Drug Therapy] lenalidomide lorvotuzumab mertansine/ct [Clinical Trial] lorvotuzumab mertansine/dt [Drug Therapy] melphalan milatuzumab *monoclonal antibody/ec [Endogenous Compound] pidilizumab rituximab samalizumab siltuximab syndecan 1/ct [Clinical Trial] syndecan 1/dt [Drug Therapy] tabalumab vorsetuzumab, Multiple Myeloma

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	23
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%