Evidence map›Paper›PMID 31452933›Full record

ArticleNPJ systems biology and applications2019

Mechanistically detailed systems biology modeling of the HGF/Met pathway in hepatocellular carcinoma.

Mohammad Jafarnejad, Richard J Sové, Ludmila Danilova, Adam C Mirando, Yu Zhang, Mark Yarchoan, Phuoc T Tran, Niranjan B Pandey, Elana J Fertig, Aleksander S Popel

Open access · goldAbstract read
In one paragraph

Article in NPJ systems biology and applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. Systems Biology of the Cancer Cell.Annual review of biomedical engineering · 2025
    Review
  2. Article
  3. The MET Oncogene Network of Interacting Cell Surface Proteins.International journal of molecular sciences · 2024
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Charting the Fragmented Landscape of Drug Synergy.Trends in pharmacological sciences · 2020
    Review
  15. 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

10 authors at 1 institution in 1 country.

Mohammad Jafarnejad1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD USA.ORCID 0000-0002-1550-0011
Richard J Sové1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD USA.
Ludmila Danilova2Department of Oncology, Division of Biostatistics and Bioinformatics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD USA.ORCID 0000-0003-2813-3094
Adam C Mirando1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD USA.ORCID 0000-0003-0602-3011
Yu Zhang1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD USA.ORCID 0000-0003-3643-6589
Mark Yarchoan3The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD USA.
Phuoc T Tran4Department of Radiation Oncology and Molecular and Radiation Sciences, Sidney Kimmel Comprehensive Cancer Centre, Johns Hopkins University School of Medicine, Baltimore, MD USA.
Niranjan B Pandey1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD USA.
Elana J Fertig1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD USA.
Aleksander S Popel1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD USA.
Johns Hopkins University · US

Funding

Tumor Antigens for Individual Signatures and TherapyP50CA062924 · NCI · JOHNS HOPKINS UNIVERSITY · PI THOMPSON, ELIZABETH D · 1993 to 2022
$54.6M
Predictive experiment-based multiscale models of the tumor immune microenvironment and immunotherapy in breast cancerR01CA138264 · NCI · JOHNS HOPKINS UNIVERSITY · PI POPEL, ALEKSANDER S. · 2009 to 2023
$8.1M
Integrating bioinformatics into multiscale models for hepatocellular carcinomaU01CA212007 · NCI · JOHNS HOPKINS UNIVERSITY · PI EWALD, ANDREW JOSEF, FERTIG, ELANA · 2018 to 2022
$3.2M
NCI NIH HHS P50 CA062924NCI NIH HHS R01 CA138264NCI NIH HHS U01 CA212007
6 · The paper itself

Abstract

Hepatocyte growth factor (HGF) signaling through its receptor Met has been implicated in hepatocellular carcinoma tumorigenesis and progression. Met interaction with integrins is shown to modulate the downstream signaling to Akt and ERK (extracellular-regulated kinase). In this study, we developed a mechanistically detailed systems biology model of HGF/Met signaling pathway that incorporated specific interactions with integrins to investigate the efficacy of integrin-binding peptide, AXT050, as monotherapy and in combination with other therapeutics targeting this pathway. Here we report that the modeled dynamics of the response to AXT050 revealed that receptor trafficking is sufficient to explain the effect of Met-integrin interactions on HGF signaling. Furthermore, the model predicted patient-specific synergy and antagonism of efficacy and potency for combination of AXT050 with sorafenib, cabozantinib, and rilotumumab. Overall, the model provides a valuable framework for studying the efficacy of drugs targeting receptor tyrosine kinase interaction with integrins, and identification of synergistic drug combinations for the patients.

Indexed as

AnilidesAntibodies, Monoclonal, HumanizedCarcinoma, HepatocellularCell Line, TumorCell MovementComputer SimulationDrug Resistance, NeoplasmHepatocyte Growth FactorHep G2 CellsHumansIntegrinsLiver NeoplasmsProto-Oncogene Proteins c-metPyridinesSignal TransductionSorafenibAnilidesAntibodies, Monoclonal, HumanizedcabozantinibHepatocyte Growth FactorHGF protein, humanIntegrinsMET protein, humanProto-Oncogene Proteins c-metPyridinesrilotumumabSorafenibCancerComputer modelling

Identifiers

PMID31452933
PMCPMC6697704
OpenAlexW2968982291

What Socratic holds

Textmetadata
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 Socratic graph.