Evidence map›Paper›PMID 33097020›Full record

ArticleBMC cancer2020

Pharmacodynamic modeling of synergistic birinapant/paclitaxel interactions in pancreatic cancer cells.

Jin Niu, Xue Wang, Jun Qu, Donald E Mager, Robert M Straubinger

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Mathematical Modeling Support for Lung Cancer Therapy-A Short Review.International journal of molecular sciences · 2023
    Review
  3. Review
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

5 authors at 2 institutions in 1 country.

Jin NiuDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA.
Xue WangDepartment of Cell Stress Biology, Roswell Park Cancer Institute, Buffalo, New York, USA.
Jun QuDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA.
Donald E MagerDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA.
Robert M StraubingerDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA. rms@buffalo.edu.ORCID http://orcid.org/0000-0003-0870-9236
Roswell Park Comprehensive Cancer Center · USUniversity at Buffalo, State University of New York · US

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
Tumor priming sequences combined with novel nanoparticle drug carriers for enhanced therapeutic efficacy in pancreatic cancer: a tripartite USA/Northern Ireland/Republic of Ireland consortiumR01CA198096 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI CLYNES, MARTIN, MA, WEN WEE · 2015 to 2019
$2.2M
NCATS NIH HHS UL1 TR001412NCI NIH HHS R01CA198096NCI NIH HHS R21CA198096
6 · The paper itself

Abstract

backgroundFor most patients, pancreatic adenocarcinoma responds poorly to treatment, and novel therapeutic approaches are needed. Standard-of-care paclitaxel (PTX), combined with birinapant (BRP), a bivalent mimetic of the apoptosis antagonist SMAC (second mitochondria-derived activator of caspases), exerts synergistic killing of PANC-1 human pancreatic adenocarcinoma cells.

methodsTo investigate potential mechanisms underlying this synergistic pharmacodynamic interaction, data capturing PANC-1 cell growth, apoptosis kinetics, and cell cycle distribution were integrated with high-quality IonStar-generated proteomic data capturing changes in the relative abundance of more than 3300 proteins as the cells responded to the two drugs, alone and combined.

resultsPTX alone (15 nM) elicited dose-dependent G2/M-phase arrest and cellular polyploidy. Combined BRP/PTX (150/15 nM) reduced G2/M by 35% and polyploid cells by 45%, and increased apoptosis by 20%. Whereas BRP or PTX alone produced no change in the pro-apoptotic protein pJNK, and a slight increase in the anti-apoptotic protein Bcl2, the drug combination increased pJNK and decreased Bcl2 significantly compared to the vehicle control. A multi-scale, mechanism-based mathematical model was developed to investigate integrated birinapant/paclitaxel effects on temporal profiles of key proteins involved in kinetics of cell growth, death, and cell cycle distribution.

conclusionsThe model, consistent with the observed reduction in the Bcl2/BAX ratio, suggests that BRP-induced apoptosis of mitotically-arrested cells is a major contributor to the synergy between BRP and PTX. Coupling proteomic and cellular response profiles with multi-scale pharmacodynamic modeling provides a quantitative mechanistic framework for evaluating pharmacodynamically-based drug-drug interactions in combination chemotherapy, and could potentially guide the development of promising drug regimens.

Indexed as

Adenocarcinomabcl-2-Associated X ProteinCell Line, TumorCell ProliferationCell SurvivalDipeptidesDose-Response Relationship, DrugDrug SynergismGene Expression Regulation, NeoplasticHumansIndolesMAP Kinase Kinase 4PaclitaxelPancreatic NeoplasmsProtein Interaction MapsProteomicsBAX protein, humanbcl-2-Associated X ProteinBCL2 protein, humanbirinapantDipeptidesIndolesMAP Kinase Kinase 4PaclitaxelProto-Oncogene Proteins c-bcl-2BirinapantMathematical modelingPaclitaxelPharmacodynamic interactionSynergy

Identifiers

PMID33097020
PMCPMC7583190
OpenAlexW3094157557

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.