Evidence map›Paper›PMID 30007540›Full record

ArticleCell systems2018

Dissecting RAF Inhibitor Resistance by Structure-based Modeling Reveals Ways to Overcome Oncogenic RAS Signaling.

Oleksii S Rukhlenko, Fahimeh Khorsand, Aleksandar Krstic, Jan Rozanc, Leonidas G Alexopoulos, Nora Rauch, Keesha E Erickson, William S Hlavacek, Richard G Posner, Silvia Gómez-Coca and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

50 citing papers in PubMed, 73 citations in OpenAlex.

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  18. The Abundance of KRAS and RAS Gene Mutations in Cancer.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  19. Article
  20. BRAFScience advances · 2023
    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

16 authors at 7 institutions in 5 countries.

Oleksii S RukhlenkoSystems Biology Ireland, University College Dublin, Dublin, Ireland.
Fahimeh KhorsandSystems Biology Ireland, University College Dublin, Dublin, Ireland.
Aleksandar KrsticSystems Biology Ireland, University College Dublin, Dublin, Ireland.
Jan RozancUniversity of Luxembourg, Luxembourg; ProtATonce Ltd, Athens, Greece.
Leonidas G AlexopoulosProtATonce Ltd, Athens, Greece; National Technical University of Athens, Athens, Greece.
Nora RauchSystems Biology Ireland, University College Dublin, Dublin, Ireland.
Keesha E EricksonTheoretical Biology and Biophysics Group, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, USA.
William S HlavacekTheoretical Biology and Biophysics Group, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, USA.
Richard G PosnerDepartment of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA.
Silvia Gómez-CocaDepartment of Chemistry, King's College London, London, UK.
Edina RostaDepartment of Chemistry, King's College London, London, UK.
Cheree FitzgibbonSystems Biology Ireland, University College Dublin, Dublin, Ireland.
David MatallanasSystems Biology Ireland, University College Dublin, Dublin, Ireland.
Jens RauchSystems Biology Ireland, University College Dublin, Dublin, Ireland.
Walter KolchSystems Biology Ireland, University College Dublin, Dublin, Ireland; Conway Institute of Biomolecular & Biomedical Research, University College Dublin, Dublin, Ireland; School of Medicine and Medical Science, University College Dublin, Dublin, Ireland.
Boris N KholodenkoSystems Biology Ireland, University College Dublin, Dublin, Ireland; Conway Institute of Biomolecular & Biomedical Research, University College Dublin, Dublin, Ireland; School of Medicine and Medical Science, University College Dublin, Dublin, Ireland; Department of Pharmacology, Yale University School of Medicine, New Haven, CT, USA. Electronic address: boris.kholodenko@ucd.ie.
University College Dublin · IEKing's College London · GBLos Alamos National Laboratory · USNational Technical University of Athens · GRNorthern Arizona University · USUniversity of Luxembourg · LUYale University · US

Funding

Hardening Software for Rule-based models-Competitive RevisionR01GM111510 · NIGMS · NORTHERN ARIZONA UNIVERSITY · PI HLAVACEK, WILLIAM S, POSNER, RICHARD G · 2014 to 2023
$2.8M
NIGMS NIH HHS R01 GM111510
6 · The paper itself

Abstract

Clinically used RAF inhibitors are ineffective in RAS mutant tumors because they enhance homo- and heterodimerization of RAF kinases, leading to paradoxical activation of ERK signaling. Overcoming enhanced RAF dimerization and the resulting resistance is a challenge for drug design. Combining multiple inhibitors could be more effective, but it is unclear how the best combinations can be chosen. We built a next-generation mechanistic dynamic model to analyze combinations of structurally different RAF inhibitors, which can efficiently suppress MEK/ERK signaling. This rule-based model of the RAS/ERK pathway integrates thermodynamics and kinetics of drug-protein interactions, structural elements, posttranslational modifications, and cell mutational status as model rules to predict RAF inhibitor combinations for inhibiting ERK activity in oncogenic RAS and/or BRAFV600E backgrounds. Predicted synergistic inhibition of ERK signaling was corroborated by experiments in mutant NRAS, HRAS, and BRAFV600E cells, and inhibition of oncogenic RAS signaling was associated with reduced cell proliferation and colony formation.

Indexed as

Drug Resistance, NeoplasmCell Line, TumorHumansMAP Kinase Signaling SystemMolecular Docking SimulationMutationNeoplasmsProtein Kinase InhibitorsProtein Multimerizationraf Kinasesras ProteinsSignal TransductionThermodynamicsProtein Kinase Inhibitorsraf Kinasesras Proteinsconformational transitions of the DFG motif and αC helixdrug resistancedrug synergyMAPK pathwaymathematical modelingoncogenic RASRAF dimerizationRAF inhibitors

Identifiers

PMID30007540
PMCPMC6149545
OpenAlexW2823044499

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.