Evidence map›Paper›PMID 42548118›Full record

ReviewChemistry & biodiversity2026

Recent Progress in Urea-Containing Compounds as Tyrosine Kinase Inhibitors.

Farid M Sroor

Abstract readReview
In one paragraph

Review in Chemistry & biodiversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Farid M SroorOrganometallic and Organometalloid Chemistry Department, National Research Centre, Cairo, 12622, Egypt.ORCID https://orcid.org/0000-0003-1283-2157

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer remains one of the leading causes of mortality worldwide. Dysregulated cellular signaling pathways play a pivotal role in tumorigenesis, tumor progression, and metastasis. Among these, tyrosine kinases (TKs) constitute a critical class of enzymes that catalyze the phosphorylation of tyrosine residues on target proteins, thereby regulating key cellular processes including growth, differentiation, and survival. TKs have revolutionized cancer therapy by selectively targeting these enzymes, resulting in suppressed tumor growth and improved clinical outcomes for patients. Urea-containing motifs represent one of the most important bioactive functional groups in medicinal chemistry. In particular, unsymmetrical alkyl- and benzylureas are widely employed as key structural components in numerous approved drugs. This structural feature enables versatile modifications that enhance physicochemical properties, including solubility, metabolic stability, and bioavailability. This review explores the current landscape of antineoplastic urea-based tyrosine kinase inhibitors, presenting an exhaustive examination of contemporary urea-containing compounds that inhibit TKs while elucidating their mechanisms of action and molecular targets. In recent years, computational technologies have become indispensable in modern drug discovery. They significantly accelerate the identification of new TKIs and support the repurposing of established pharmaceuticals. Ultimately, the review addresses the prevailing challenges and future opportunities in the advancement of urea-containing tyrosine kinase inhibitors.

Indexed as

Antineoplastic AgentsProtein Kinase InhibitorsUreaAnimalsHumansMolecular StructureNeoplasmsProtein-Tyrosine KinasesStructure-Activity RelationshipTyrosine Kinase InhibitorsAntineoplastic AgentsProtein Kinase InhibitorsProtein-Tyrosine KinasesTyrosine Kinase InhibitorsUreaanti‐cancerdrug designFGFRstructure–activity relationshiptyrosine kinase inhibitorsurea derivativesVEGFR

Identifiers

PMID42548118
PMCPMC13434191

What OpenQuestion holds

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Registered trials

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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.