Evidence map›Paper›PMID 34453265›Full record

ArticleThe AAPS journal2021

Quantitative Systems Pharmacology Modeling of Avadomide-Induced Neutropenia Enables Virtual Clinical Dose and Schedule Finding Studies.

Roberto A Abbiati, Michael Pourdehnad, Soraya Carrancio, Daniel W Pierce, Shailaja Kasibhatla, Mark McConnell, Matthew W B Trotter, Remco Loos, Cristina C Santini, Alexander V Ratushny

Erratum issuedAbstract read
In one paragraph

Article in The AAPS journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Non-Malignant Granulocyte and Monocyte Disorders: An Update.British journal of biomedical science · 2025
    Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Roberto A AbbiatiBristol Myers Squibb, Center for Innovation and Translational Research Europe (CITRE), Seville, Spain. roberto.abbiati@bms.com.ORCID http://orcid.org/0000-0002-6052-5736
Michael PourdehnadBristol Myers Squibb, San Francisco, California, USA.
Soraya CarrancioBristol Myers Squibb, San Diego, California, USA.
Daniel W PierceBristol Myers Squibb, San Diego, California, USA.
Shailaja KasibhatlaBristol Myers Squibb, San Diego, California, USA.
Mark McConnellBristol Myers Squibb, Seattle, Washington, USA.
Matthew W B TrotterBristol Myers Squibb, Center for Innovation and Translational Research Europe (CITRE), Seville, Spain.
Remco LoosBristol Myers Squibb, Center for Innovation and Translational Research Europe (CITRE), Seville, Spain.
Cristina C SantiniRoche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, Basel, Switzerland.ORCID http://orcid.org/0000-0002-8645-2707
Alexander V RatushnyBristol Myers Squibb, Seattle, Washington, USA. alexander.ratushnyy@bms.com.ORCID http://orcid.org/0000-0002-1701-4084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Avadomide is a cereblon E3 ligase modulator and a potent antitumor and immunomodulatory agent. Avadomide trials are challenged by neutropenia as a major adverse event and a dose-limiting toxicity. Intermittent dosing schedules supported by preclinical data provide a strategy to reduce frequency and severity of neutropenia; however, the identification of optimal dosing schedules remains a clinical challenge. Quantitative systems pharmacology (QSP) modeling offers opportunities for virtual screening of efficacy and toxicity levels produced by alternative dose and schedule regimens, thereby supporting decision-making in translational drug development. We formulated a QSP model to capture the mechanism of avadomide-induced neutropenia, which involves cereblon-mediated degradation of transcription factor Ikaros, resulting in a maturation block of the neutrophil lineage. The neutropenia model was integrated with avadomide-specific pharmacokinetic and pharmacodynamic models to capture dose-dependent effects. Additionally, we generated a disease-specific virtual patient population to represent the variability in patient characteristics and response to treatment observed for a diffuse large B-cell lymphoma trial cohort. Model utility was demonstrated by simulating the avadomide effect in the virtual population for various dosing schedules and determining the incidence of high-grade neutropenia, its duration, and the probability of recovery to low-grade neutropenia.

Indexed as

Models, BiologicalAntineoplastic AgentsBiological Variation, PopulationComputer SimulationDose-Response Relationship, DrugDrug Administration ScheduleHumansNetwork PharmacologyNeutropeniaNeutrophilsPiperidonesQuinazolinones3-(5-amino-2-methyl-4-oxoquinazolin-3(4H)-yl)piperidine-2,6-dioneAntineoplastic AgentsPiperidonesQuinazolinonesavadomideCELMoDneutropeniaQSPvirtual patient

Identifiers

PMID34453265
PMCPMC8397660

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.