Evidence map›Paper›PMID 30516019›Full record

ArticleCPT: pharmacometrics & systems pharmacology2019

Pharmacodynamic Models of Differential Bortezomib Signaling Across Several Cell Lines of Multiple Myeloma.

Vidya Ramakrishnan, Donald E Mager

Abstract readComparative Study
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Vidya RamakrishnanDepartment of Pharmaceutical Sciences, University at Buffalo, SUNY, Buffalo, New York, USA.
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

The heterogeneous polyclonal nature of multiple myeloma complicates the identification of protein biomarkers predictive of drug response. In this study, a pharmacodynamic systems modeling approach was used to link in vitro bortezomib exposure and myeloma cell death. The exposure-response was integrated through a network of important protein biomarker dynamics activated by bortezomib in four myeloma cell lines. The pharmacodynamic models reasonably characterized the protein and myeloma cell dynamics simultaneously following bortezomib (20 nM) treatment. The models were used to identify differences in pathway dynamics across cell lines from model-estimated protein biomarker turnover parameters and global sensitivity analyses. Additionally, a statistical correlation analysis between drug sensitivity and model-fitted protein activation profiles (i.e., cumulative area under the protein expression-time curves) supported the identification of shared biomarkers associated with sensitivity differences among the cell lines. Both types of analysis identified similar important proteins associated with bortezomib pharmacodynamics, such as phosphorylated Nuclear Factor kappa-light-chain-enhancer of activated B cells (pNFkappaB), phosphorylated protein kinase B (pAKT), and caspase-8 (Cas 8).

Indexed as

Models, BiologicalAntineoplastic AgentsBiomarkersBortezomibCell Line, TumorHumansMultiple MyelomaNF-kappa BPhosphorylationProto-Oncogene Proteins c-aktProto-Oncogene Proteins c-bcl-2Signal TransductionTOR Serine-Threonine KinasesAntineoplastic AgentsBCL2 protein, humanBiomarkersBortezomibMTOR protein, humanNF-kappa BProto-Oncogene Proteins c-aktProto-Oncogene Proteins c-bcl-2TOR Serine-Threonine Kinases

Identifiers

PMID30516019
PMCPMC6430155

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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.