Evidence map›Paper›PMID 18059446›Full record

ReviewMolecular systems biology2007

Evolvable signaling networks of receptor tyrosine kinases: relevance of robustness to malignancy and to cancer therapy.

Ido Amit, Ron Wides, Yosef Yarden

Abstract readReview
In one paragraph

Review in Molecular systems biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Eph Receptors and Ephrins in Retinal Diseases.International journal of molecular sciences · 2021
    Review
  11. Article
  12. Receptor tyrosine kinases activate heterotrimeric G proteins via phosphorylation within the interdomain cleft of Gαi.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  13. Mechanisms of EGFR Resistance in Glioblastoma.International journal of molecular sciences · 2020
    Review
  14. Regulating cellular cyclic adenosine monophosphate: "Sources," "sinks," and now, "tunable valves".Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

4 more citing papers are in PubMed but not listed here.

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

3 authors.

Ido AmitDepartment of Biological Regulation, The Weizmann Institute of Science, Rehovot, Israel.
Ron Wides
Yosef Yarden

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robust biological signaling networks evolved, through gene duplications, from simple, relatively fragile cascades. Architectural features such as layered configuration, branching and modularity, as well as functional characteristics (e.g., feedback control circuits), enable fail-safe performance in the face of internal and external perturbations. These universal features are exemplified here using the receptor tyrosine kinase (RTK) family. The RTK module is richly mutated and overexpressed in human malignancies, and pharmaceutical interception of its signaling effectively retards growth of specific tumors. Therapy-induced interception of RTK-signaling pathways and the common evolvement of drug resistance are respectively considered here as manifestations of fragility and plasticity of robust networks. The systems perspective we present views pathologies as hijackers of biological robustness and offers ways for identifying fragile hubs, as well as strategies to overcome drug resistance.

Indexed as

Evolution, MolecularSignal TransductionAnimalsDrug Resistance, NeoplasmFeedback, PhysiologicalHumansNeoplasmsReceptor Protein-Tyrosine KinasesReceptor Protein-Tyrosine Kinases

Identifiers

PMID18059446
PMCPMC2174628

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.