Evidence map›Paper›PMID 34910921›Full record

ArticleCell reports2021

Identification of RAS mutant biomarkers for EGFR inhibitor sensitivity using a systems biochemical approach.

Thomas McFall, Edward C Stites

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

23 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  11. Review
  12. Article
  13. Review
  14. Biomarker Landscape in RASopathies.International journal of molecular sciences · 2024
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Computational Random Mutagenesis to Investigate RAS Mutant Signaling.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  20. 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 at 1 institution in 1 country.

Thomas McFallIntegrative Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA. Electronic address: tmcfall@mcw.edu.
Edward C StitesIntegrative Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA. Electronic address: estites@salk.edu.
Salk Institute for Biological Studies · US

Funding

Viral Vector Core (VVC)P30CA014195 · NCI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI Reuben Shaw · 1985 to 2026
$82.8M
Salk Institute Cancer Training GrantT32CA009370 · NCI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI Diana Clare Hargreaves, Jan Karlseder · 1986 to 2026
$8.6M
Systems Approaches for Opening Therapeutic WindowsDP2AT011327 · NCCIH · YALE UNIVERSITY · PI STITES, EDWARD C. · 2020 to 2020
$2.6M
Systems Biology of RAS and RAF Oncogenes and Personalized MedicineK22CA216318 · NCI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI STITES, EDWARD C. · 2017 to 2019
$583k
NCCIH NIH HHS DP2 AT011327NCI NIH HHS K22 CA216318NCI NIH HHS P30 CA014195NCI NIH HHS T32 CA009370
6 · The paper itself

Abstract

Mutations can be important biomarkers that influence the selection of specific cancer treatments. We recently combined mathematical modeling of RAS signaling network biochemistry with experimental cancer cell biology to determine why KRAS G13D is a biomarker for sensitivity to epidermal growth factor receptor (EGFR)-targeted therapies. The critical mechanistic difference between KRAS G13D and the other most common KRAS mutants is impaired binding to tumor suppressor Neurofibromin (NF1). Here, we hypothesize that impaired binding to NF1 is a "biophysical biomarker" that defines other RAS mutations that retain therapeutic sensitivity to EGFR inhibition. Both computational and experimental investigations support our hypothesis. By screening RAS mutations for this biophysical characteristic, we identify 10 additional RAS mutations that appear to be biomarkers for sensitivity to EGFR inhibition. Altogether, this work suggests that personalized medicine may benefit from migrating from gene-based and allele-based biomarker strategies to biomarkers based on biophysically defined subsets of mutations.

Indexed as

Drug Resistance, NeoplasmMutationBiomarkers, TumorColorectal NeoplasmsErbB ReceptorsHumansProtein Kinase Inhibitorsras ProteinsSystems AnalysisTumor Cells, CulturedBiomarkers, TumorEGFR protein, humanErbB ReceptorsProtein Kinase Inhibitorsras Proteinsbiophysical biomarkersKRASsystems modelingtargeted therapies

Identifiers

PMID34910921
PMCPMC8867612
OpenAlexW4200368865

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.