Evidence map›Paper›PMID 38747730›Full record

ArticleCPT: pharmacometrics & systems pharmacology2024

Quantitative systems pharmacology modeling of tumor heterogeneity in response to BH3-mimetics using virtual tumors calibrated with cell viability assays.

Thibaud Derippe, Sylvain Fouliard, Xavier Decleves, Donald E Mager

Abstract readClinical Conference
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

4 authors.

Thibaud DerippeInstitut de Recherches Internationales Servier, Suresnes, France.
Sylvain FouliardInstitut de Recherches Internationales Servier, Suresnes, France.
Xavier DeclevesInserm, UMRS-1144, Optimisation Thérapeutique en Neuropsychopharmacologie, Université Paris Cité, Paris, France.ORCID 0000-0002-9526-2294
Donald E MagerDepartment of Pharmaceutical Sciences, University at Buffalo, SUNY, Buffalo, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both primary and acquired resistance mechanisms that involve intra-tumoral cell heterogeneity limit the use of BH3-mimetics to trigger tumor cell apoptosis. This article proposes a new quantitative systems pharmacology (QSP)-based methodology in which cell viability assays are used to calibrate virtual tumors (VTs) made of virtual cells whose fate is determined by simulations from an apoptosis QSP model. VTs representing SU-DHL-4 and KARPAS-422 cell lines were calibrated using in vitro data involving venetoclax (anti-BCL2), A-1155463 (anti-BCLXL), and/or A-1210477 (anti-MCL1). The calibrated VTs provide insights into the combination of several BH3-mimetics, such as the distinction between cells eliminated by at least one of the drugs (monotherapies) from the cells eliminated by a pharmacological combination only. Calibrated VTs can also be used as initial conditions in an agent-based model (ABM) framework, and a minimal ABM was developed to bridge in vitro SU-DHL-4 cell viability results to tumor growth inhibition experiments in mice.

Indexed as

Antineoplastic AgentsApoptosisBridged Bicyclo Compounds, HeterocyclicCell SurvivalSulfonamidesAnimalsCalibrationCell Line, TumorComputer SimulationHumansMiceModels, BiologicalNeoplasmsNetwork PharmacologyPeptide FragmentsProto-Oncogene Proteins c-bcl-2Antineoplastic AgentsBridged Bicyclo Compounds, HeterocyclicPeptide FragmentsProto-Oncogene Proteins c-bcl-2Sulfonamidesvenetoclax

Identifiers

PMID38747730
PMCPMC11247121

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Registered trials

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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.