Evidence map›Paper›PMID 42788352›Full record

ReviewMolecular medicine reports2026

Progress on quinoline‑based antitumour agents: Mechanistic insights and optimization strategies (Review).

Yuwen Zeng, Yutong Yan, Shiye Wu, Wanshan Wu, Ke Chen, Youyi Lai, Qing Ye, Nan Zhang, Yuanyuan Zhou

Abstract readReview
In one paragraph

Review in Molecular medicine reports, 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

9 authors.

Yuwen Zeng *School of Animal Science and Technology, Foshan University, Foshan, Guangdong 528225, P.R. China.
Yutong Yan *School of Animal Science and Technology, Foshan University, Foshan, Guangdong 528225, P.R. China.
Shiye WuSchool of Animal Science and Technology, Foshan University, Foshan, Guangdong 528225, P.R. China.
Wanshan WuSchool of Agriculture and Bioengineering, Foshan University, Foshan, Guangdong 528225, P.R. China.
Ke ChenSchool of Animal Science and Technology, Foshan University, Foshan, Guangdong 528225, P.R. China.
Youyi LaiSchool of Agriculture and Bioengineering, Foshan University, Foshan, Guangdong 528225, P.R. China.
Qing YeSchool of Agriculture and Bioengineering, Foshan University, Foshan, Guangdong 528225, P.R. China.
Nan ZhangSchool of Animal Science and Technology, Foshan University, Foshan, Guangdong 528225, P.R. China.
Yuanyuan ZhouSchool of Animal Science and Technology, Foshan University, Foshan, Guangdong 528225, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quinoline derivatives are a class of heterocycles featuring a fused benzene‑pyridine scaffold that have attracted notable interest in anticancer drug discovery owing to their favourable physicochemical properties, structural versatility and broad biological activities. Accumulating evidence indicates that quinoline‑based compounds exert antitumour effects through several targets and pathways, including via epigenetic regulation, interference with DNA topology, inhibition of signalling pathways, immune modulation, induction of autophagy and targeting of the cytoskeleton. Structure‑activity relationship (SAR) analyses demonstrate that the electronic effects and steric configurations of substituents on the quinoline ring critically determine potency, selectivity and metabolic stability. In particular, oxygenated, halogenated and strongly electron‑withdrawing groups, as well as nitrogen‑containing heterocyclic substituents, enhance hydrophobic interactions or hydrogen bonding with biological targets, thereby improving inhibitory efficacy. Consequently, the quinoline scaffold has emerged as a rated structural motif in anticancer lead compound discovery. Multidimensional optimisation strategies have been proposed to improve the pharmacokinetic profiles and clinical applicability of quinoline derivatives. Nanocarriers and smart stimuli‑responsive delivery systems markedly enhance solubility, circulation time and tumour targeting, whereas prodrug approaches employing enzyme‑sensitive, pH‑responsive or redox‑activated linkers enable selective activation at tumour sites. Combination therapies also exploit the multi‑pathway activity of quinoline derivatives, enhancing antitumour responses and delaying resistance when combined with immunotherapy, chemotherapy or radiotherapy. Furthermore, artificial intelligence and machine learning approaches have shown increasing utility in virtual screening, quantitative structure‑activity relationship modelling and multi‑objective optimisation, accelerating the identification of potent, low toxicity and synthetically accessible candidates. Overall, quinoline derivatives offer systemic advantages as multi‑target anticancer agents. The present review summarises recent advances in molecular mechanisms, SAR insights and drug design strategies, providing a comprehensive framework for advancing quinoline‑based agents towards next‑generation precision anticancer therapies.

Indexed as

Antineoplastic AgentsNeoplasmsQuinolinesAnimalsDrug DiscoveryHumansSignal TransductionStructure-Activity RelationshipAntineoplastic AgentsquinolineQuinolinesanticancer mechanismsartificial intelligence‑assisted designprodrug designquinoline derivativesstructure‑activity relationship

Identifiers

PMID42788352
PMCPMC13647448

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.