Evidence map›Paper›PMID 33977486›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Mathematical Modeling to Study KRAS Mutant-Specific Responses to Pathway Inhibition.

Edward C Stites

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Computational Random Mutagenesis to Investigate RAS Mutant Signaling.Methods in molecular biology (Clifton, N.J.) · 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

1 author.

Edward C StitesIntegrative Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA. estites@salk.edu.

Funding

Viral Vector Core (VVC)P30CA014195 · NCI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI Reuben Shaw · 1985 to 2026
$82.8M
Systems Biology of RAS and RAF Oncogenes and Personalized MedicineK22CA216318 · NCI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI STITES, EDWARD C. · 2017 to 2019
$583k
NCI NIH HHS K22 CA216318NCI NIH HHS P30 CA014195
6 · The paper itself

Abstract

This chapter will describe how mathematical modeling allows the RAS pathway to be studied with computational experiments. The mathematical model utilized simulates the biochemical reactions that regulate RAS signaling. This type of model incorporates knowledge of reaction mechanisms, including measured quantitative parameters that characterize these reactions for both wild-type and mutant RAS proteins. For an illustrative example, this chapter focuses on how modeling provided new insights that helped solve a problem that challenged the RAS community for nearly a decade: why do colorectal cancers with the KRAS G13D mutation, but not the other common KRAS mutations, benefit from EGFR inhibition? The methods described include computational dose-response experiments and the use of "computational chimeric" RAS mutants.

Indexed as

Models, TheoreticalMutationColorectal NeoplasmsErbB ReceptorsHumansMolecular Targeted TherapyProtein Kinase InhibitorsProto-Oncogene Proteins p21(ras)EGFR protein, humanErbB ReceptorsKRAS protein, humanProtein Kinase InhibitorsProto-Oncogene Proteins p21(ras)Computational biologySystems biologySystems pharmacologyTargeted therapy

Identifiers

PMID33977486
PMCPMC8639139

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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.