Evidence map›Paper›PMID 37918792›Full record

ArticleJournal of pharmaceutical sciences2024

Systems Pharmacodynamic Model of Combined Gemcitabine and Trabectedin in Pancreatic Cancer Cells. Part II: Cell Cycle, DNA Damage Response, and Apoptosis Pathways.

Xin Miao, Gilbert Koch, Shichen Shen, Xue Wang, Jun Li, Xiaomeng Shen, Jun Qu, Robert M Straubinger, William J Jusko

Open access · greenAbstract read
In one paragraph

Article in Journal of pharmaceutical sciences, 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
0.7field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

9 authors at 3 institutions in 2 countries.

Xin MiaoDepartment of Pharmaceutical Sciences, University at Buffalo, SUNY, Buffalo, NY, USA.
Gilbert KochPediatric Pharmacology and Pharmacometrics Research Center, University of Basel, Children's Hospital, Basel, Switzerland.
Shichen ShenDepartment of Biochemistry, School of Medicine and Biomedical Sciences, University at Buffalo, SUNY, Buffalo, NY, USA; New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, NY, USA.
Xue WangNew York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, NY, USA; Department of Cell Stress Biology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Jun LiNew York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, NY, USA.
Xiaomeng ShenDepartment of Biochemistry, School of Medicine and Biomedical Sciences, University at Buffalo, SUNY, Buffalo, NY, USA; New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, NY, USA.
Jun QuDepartment of Pharmaceutical Sciences, University at Buffalo, SUNY, Buffalo, NY, USA; New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, NY, USA.
Robert M StraubingerDepartment of Pharmaceutical Sciences, University at Buffalo, SUNY, Buffalo, NY, USA; New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, NY, USA; Department of Cell Stress Biology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
William J JuskoDepartment of Pharmaceutical Sciences, University at Buffalo, SUNY, Buffalo, NY, USA. Electronic address: WJJusko@buffalo.edu.
University at Buffalo, State University of New York · USRoswell Park Comprehensive Cancer Center · USUniversity of Basel · CH

Funding

Modeling Mechanisms of Adjuvanted Influenza Vaccine Induced IgG Repertoire Diversity and Heterosubtypic ImmunityR01AI129518 · NIAID · UNIVERSITY OF ROCHESTER · PI HYRIEN, OLLIVIER, ZAND, MARTIN S · 2017 to 2021
$3.5M
Mechanistic Pharmacokinetics and PharmacodynamicsR35GM131800 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JUSKO, WILLIAM J. · 2019 to 2023
$2.9M
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
DRUG DISCOVERY PLATFORM FOR PROTEIN ARGININE METHYLTRANSFERASE INHIBITORSR41GM121174 · NIGMS · CH3 BIOSYSTEMS, LLC · PI ALETTA, JOHN MICHAEL · 2016 to 2016
$158k
NCI NIH HHS R01 CA198096NIAID NIH HHS R01 AI129518NIGMS NIH HHS R35 GM131800NIGMS NIH HHS R41 GM121174
6 · The paper itself

Abstract

Despite decades of research efforts, pancreatic adenocarcinoma (PDAC) continues to present a formidable clinical challenge, demanding innovative therapeutic approaches. In a prior study, we reported the synergistic cytotoxic effects of gemcitabine and trabectedin on pancreatic cancer cells. To investigate potential mechanisms underlying this synergistic pharmacodynamic interaction, liquid chromatography-mass spectrometry-based proteomic analysis was performed, and a systems pharmacodynamics model (SPD) was developed to capture pancreatic cancer cell responses to gemcitabine and trabectedin, alone and combined, at the proteome level. Companion report Part I describes the proteomic workflow and drug effects on the upstream portion of the SPD model related to cell growth and migration, specifically the RTK-, integrin-, GPCR-, and calcium-signaling pathways. This report presents Part II of the SPD model. Here we describe drug effects on pathways associated with cell cycle, DNA damage response (DDR), and apoptosis, and provide insights into underlying mechanisms. Drug combination effects on protein changes in the cell cycle- and apoptosis pathways contribute to the synergistic effects observed between gemcitabine and trabectedin. The SPD model was subsequently incorporated into our previously-established cell cycle model, forming a comprehensive, multi-scale quantification platform for evaluating drug effects across multiple scales, spanning the proteomic-, cellular-, and subcellular levels. This approach provides a quantitative mechanistic framework for evaluating drug-drug interactions in combination chemotherapy, and could potentially serve as a tool to predict combinatorial efficacy and assist in target selection.

Indexed as

AdenocarcinomaPancreatic NeoplasmsApoptosisCell CycleCell Line, TumorCell ProliferationDeoxycytidineDNA RepairGemcitabineHumansProteomicsTrabectedinDeoxycytidineGemcitabineTrabectedinDrug combinationGemcitabinePancreatic cancerProteomicsSystems pharmacodynamicTrabectedin

Identifiers

PMID37918792
PMCPMC10902796
OpenAlexW4388215159

What OpenQuestion holds

Textmetadata
LicenceTDM
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.