Evidence map›Paper›PMID 28707278›Full record

ReviewNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2017

Daclizumab: Development, Clinical Trials, and Practical Aspects of Use in Multiple Sclerosis.

Laura E Baldassari, John W Rose

Open access · bronzeAbstract readReview
In one paragraph

Review in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. GM-CSFTheranostics · 2025
    Review
  3. A CD25×TIGIT bispecific antibody induces anti-tumor activity through selective intratumoral Treg cell depletion.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. A new clustering method identifies multiple sclerosis-specific T-cell receptors.Annals of clinical and translational neurology · 2021
    Article
  10. Article
  11. Hybridoma technology: is it still useful?Current research in immunology · 2021
    Review
  12. CD25-TNature cancer · 2020
    Article
  13. Review
  14. Article
  15. A comprehensive review on the treatment approaches of multiple sclerosis: currently and in the future.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2019
    Review
  16. Review
  17. Multiple Sclerosis: Unprecedented Progress But Significant Challenges Ahead.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Laura E BaldassariDivision of Neuroimmunology, Department of Neurology, University of Utah, Imaging and Neurosciences Center, 729 Arapeen Drive, Salt Lake City, UT, 84108, USA.
John W RoseDivision of Neuroimmunology, Department of Neurology, University of Utah, Imaging and Neurosciences Center, 729 Arapeen Drive, Salt Lake City, UT, 84108, USA. jrose@genetics.utah.edu.
University of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Daclizumab is a humanized monoclonal antibody directed towards CD25, the alpha subunit of the high-affinity interleukin (IL)-2 receptor. Daclizumab exerts its effects via multiple mechanisms, including reduction of IL-2-mediated lymphocyte activation and upregulation of CD56-bright natural killer cells. Intravenous daclizumab (Zenapax™) was initially approved for prevention of rejection in renal transplant. In subsequent early testing, followed by larger-scale phase II and phase III trials, both intravenous and subcutaneous daclizumab have demonstrated clinical efficacy in the treatment of multiple sclerosis. The subcutaneous daclizumab prepared by high-yield process was utilized in the advanced phase II and phase III trials (SELECT and DECIDE). High-yield process daclizumab is now approved by the US Food and Drug Administration for relapsing-remitting multiple sclerosis, and is now formally termed daclizumab beta (DAC-beta; Zinbryta™). In this review, the early development of anti-IL-2 receptor alpha monoclonal antibodies and the properties of IL-2 and its receptor are discussed, and diverse mechanisms of action for daclizumab are presented. Results of the CHOICE, SELECT, and DECIDE clinical trials are discussed in detail. Adverse events observed in clinical trials included cutaneous reactions, liver enzyme elevations, infections, and autoimmune phenomena. DAC-beta is a monthly, patient-administered subcutaneous injection that requires enrollment in a safety monitoring (REMS) program for monthly liver function testing. Prescribers should be aware of the potential adverse events, as early recognition and management is important, particularly in cutaneous and hepatic reactions. Continued clinical experience with DAC-beta, including observations from the REMS program, will define its place in the armamentarium of immunotherapeutics for relapsing-remitting multiple sclerosis.

Indexed as

AnimalsAntibodies, Monoclonal, HumanizedClinical Trials as TopicDaclizumabHumansImmunoglobulin GImmunosuppressive AgentsInterleukin-2Multiple SclerosisReceptors, Interleukin-2Treatment OutcomeAntibodies, Monoclonal, HumanizedDaclizumabdaclizumab HYPImmunoglobulin GImmunosuppressive AgentsInterleukin-2Receptors, Interleukin-2CD25Daclizumabinterleukin-2interleukin-2 receptormonoclonal antibodiesrelapsing-remitting multiple sclerosis

Identifiers

PMID28707278
PMCPMC5722760
OpenAlexW2735036007

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.