Evidence map›Paper›PMID 29484842›Full record

ArticleCPT: pharmacometrics & systems pharmacology2018

Quantitative Systems Pharmacology Analysis of KRAS G12C Covalent Inhibitors.

Edward C Stites, Andrey S Shaw

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Preclinical Evaluation of [ACS pharmacology & translational science · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Direct GDP-KRASTherapeutic advances in medical oncology · 2023
    Review
  7. Computational Random Mutagenesis to Investigate RAS Mutant Signaling.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Virtual clinical trial simulations for a novel KRASCPT: pharmacometrics & systems pharmacology · 2021
    Article
  12. Review
  13. Article
  14. 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

2 authors.

Edward C StitesDivision of Laboratory and Genomic Medicine, Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, Missouri, USA.
Andrey S ShawResearch Biology, Genentech, South San Francisco, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

KRAS has proven difficult to target pharmacologically. Two strategies have recently been described for covalently targeting the most common KRAS mutant in lung cancer, KRAS G12C. Previously, we developed a computational model of the processes that regulate Ras activation. Here, we use this model to investigate KRAS G12C covalent inhibitors. We updated the model to include Ras protein turnover, and validation demonstrates that our model performs well in areas of G12C targeting where conventional wisdom struggles. We then used the model to investigate possible strategies to improve KRAS G12C inhibitors and identified GEF loading as a mechanism that could improve efficacy. Our simulations also found resistance-promoting mutations may reverse which class of KRAS G12C inhibitor inhibits the system better, suggesting that there may be value to pursuing both types of KRAS G12C inhibitors. Overall, this work demonstrates areas in which systems biology approaches can inform Ras drug development.

Indexed as

Antineoplastic AgentsCell Line, TumorComputer SimulationDrug DiscoveryHumansLung NeoplasmsMutationProto-Oncogene Proteins p21(ras)Signal TransductionSystems BiologyAntineoplastic AgentsKRAS protein, humanProto-Oncogene Proteins p21(ras)

Identifiers

PMID29484842
PMCPMC5980551

What OpenQuestion holds

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LicenceCC BY-NC
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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.