Evidence map›Paper›PMID 29455659›Full record

ReviewMolecular cancer2018

Receptor tyrosine kinases and downstream pathways as druggable targets for cancer treatment: the current arsenal of inhibitors.

Wagner Ricardo Montor, Andrei Ronaldo Oliveira Silva Escartin Salas, Fabiana Henriques Machado de Melo

Open access · goldAbstract readReview
In one paragraph

Review in Molecular cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
4.7field-weighted citation impact, top 3% 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

63 citing papers in PubMed, 107 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Asiatic Acid fromBiomolecules · 2025
    Article
  6. Akt-phosphorylated UFL1 UFMylates ArpC4 to promote metastasis.Nature structural & molecular biology · 2025
    Article
  7. Advances in cervical cancer: current insights and future directions.Cancer communications (London, England) · 2025
    Review
  8. Article
  9. Identification of a novelFrontiers in oncology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Therapeutic advances of targeting receptor tyrosine kinases in cancer.Signal transduction and targeted therapy · 2024
    Review
  14. Review
  15. Review
  16. Article
  17. Competing endogenous RNAs (ceRNAs) and drug resistance to cancer therapy.Cancer drug resistance (Alhambra, Calif.) · 2024
    Review
  18. Article
  19. Review
  20. Review

3 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 at 1 institution in 1 country.

Wagner Ricardo MontorDepartamento de Ciências Fisiológicas, Faculdade de Ciências Médicas da Santa Casa de São Paulo, São Paulo, Brazil.
Andrei Ronaldo Oliveira Silva Escartin SalasDepartamento de Ciências Fisiológicas, Faculdade de Ciências Médicas da Santa Casa de São Paulo, São Paulo, Brazil.
Fabiana Henriques Machado de MeloDepartamento de Ciências Fisiológicas, Faculdade de Ciências Médicas da Santa Casa de São Paulo, São Paulo, Brazil. fabiana.machado@fcmsantacasasp.edu.br.
Faculdade de Ciências Médicas da Santa Casa de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Searching for targets that allow pharmacological inhibition of cell proliferation in over-proliferative states, such as cancer, leads us to finely understand the complex mechanisms orchestrating the perfect control of mitosis number, frequency and pace as well as the molecular arrangements that induce cells to enter functional quiescence and brings them back to cycling in specific conditions. Although the mechanisms regulating cell proliferation have been described several years ago, never before has so much light been shed over this machinery as during the last decade when therapy targets have been explored and molecules, either synthetic or in the form of antibodies with the potential of becoming cancer drugs were produced and adjusted for specific binding and function. Proteins containing tyrosine kinase domains, either membrane receptors or cytoplasmic molecules, plus the ones activated by those in downstream pathways, having tyrosine kinase domains or not, such as RAS which is a GTPase and serine/threonine kinases such as RAF, play crucial role in conducting proliferation information from cell surroundings to the nucleus where gene expression takes place. Tyrosine kinases phosphorylate tyrosine residues in an activating mode and are found in important growth factor receptors, such as for ligands from families collectively known as VEGF, PDGF and EGF, to name a few and in intracellular downstream molecules. They all play important roles in normal physiology and are commonly found mutated or overexpressed in neoplastic states. Our objective here is to present such kinases as druggable targets for cancer therapy, highlighting the ones for which the pharmacological arsenal is available, discussing specificity, resistance mechanisms and treatment alternatives in cases of resistance, plus listing potential targets that have not been successfully worked yet.

Indexed as

AnimalsAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorClinical Trials as TopicDrug DiscoveryDrug Resistance, NeoplasmHumansMolecular Targeted TherapyMutationNeoplasmsProtein BindingProtein Kinase InhibitorsReceptor Protein-Tyrosine KinasesSignal TransductionBiomarkers, TumorProtein Kinase InhibitorsReceptor Protein-Tyrosine KinasesBRAF driven cancersMAPK signaling pathwaysPI3K/AKT transduction networkRAS-mutationsReceptor tyrosine kinasestyrosine kinase inhibitors

Identifiers

PMID29455659
PMCPMC5817866
OpenAlexW2795979587

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.