Model-informed dose selection for Xentuzumab, a dual insulin-like growth factor-I/II -neutralizing antibody.
Clicks: 395
ID: 54604
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
74.4
/100
395 views
275 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #6 of 11 articles by views in clinical pharmacology and therapeutics
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Over the past decade, the insulin-like growth factor (IGF)-signalling pathway has gained substantial interest as potential therapeutic target in oncology. Xentuzumab, a humanised IgG1 monoclonal antibody, binds to IGF-I and IGF-II thereby inhibiting the downstream signalling essential for survival and tumour growth. This pathway is further regulated by circulating IGF binding proteins (IGFBPs). In this work, a mechanistic model characterising the dynamics and interactions of IGFs, IGFBPs and Xentuzumab has been developed to guide dose selection. Therefore, in vitro and in vivo literature information was combined with temporal IGF-I, IGF-II and IGFBP-3 total plasma concentrations from two phase I studies. Based on the established quantitative framework, the time-course of free IGFs as ultimate drug targets not measured in clinics was predicted. Finally, a dose of 1000 mg/week - predicted to reduce free IGF-I and free IGF-II at steady-state by at least 90% and 64%, respectively- was suggested for Phase II.
| Reference Key |
parraguillen2019modelinformedclinical
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Parra-Guillen, Zinnia P;Schmid, Ulrike;Janda, Alvaro;Freiwald, Matthias;Troconiz, Iñaki F; |
| Journal | clinical pharmacology and therapeutics |
| Year | 2019 |
| DOI |
10.1002/cpt.1648
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.