Evidence map›Paper›PMID 37877504›Full record

ReviewCurrent medicinal chemistry2025

Quinolines: A Promising Heterocyclic Scaffold for Cancer Therapeutics.

Yinshen Zhao, Chaoyang Zhang, Wan Liu, Zhiyuan Guo, Yuqi Zhang, Yuqi Wu, Chenyu Wei, Jianing Wu, Xianguang Yang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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 at 1 institution in 1 country.

Yinshen ZhaoCollege of Life Science, Henan Normal University, Xinxiang 453007, China.
Chaoyang ZhangCollege of Life Science, Henan Normal University, Xinxiang 453007, China.
Wan LiuCollege of Life Science, Henan Normal University, Xinxiang 453007, China.
Zhiyuan GuoCollege of Life Science, Henan Normal University, Xinxiang 453007, China.
Yuqi ZhangCollege of Life Science, Henan Normal University, Xinxiang 453007, China.
Yuqi WuCollege of Life Science, Henan Normal University, Xinxiang 453007, China.
Chenyu WeiCollege of Life Science, Henan Normal University, Xinxiang 453007, China.
Jianing WuCollege of Life Science, Henan Normal University, Xinxiang 453007, China.
Xianguang YangCollege of Life Science, Henan Normal University, Xinxiang 453007, China.
Henan Normal University · CN

Funding

Science and Technology Research Project of Henan Province 222102310244
6 · The paper itself

Abstract

The quinoline scaffold is a widely recognized heterocycle with applications across various disease categories, ranging from malaria and viral infections to bacterial infections, high cholesterol, and even tumors. Consequently, quinoline plays a crucial role in the development of new drugs, and the field greatly benefits from advancements in computer-aided drug design. This review aims to provide insights into the evolution of quinoline and its derivatives, offering a comprehensive exploration of both marketed and developing drugs. Furthermore, the function and mechanism of quinoline compounds are introduced. Many studies rely on cell experiments to demonstrate drug cytotoxicity. In the concluding section of this review, the interaction between quinoline compounds and targets is simulated using computer-aided drug design methods. A thorough analysis is conducted on the potential influencing factors affecting the binding state between quinoline compounds and targets. Notably, the Pi-Alkyl interaction emerges as a significant contributor, while hydrogen bonding is identified as a pivotal bond in these interactions. This review serves as a valuable overview of the potential contributions of quinoline compounds to cancer treatment. It seamlessly combines the essential functions of marketed quinoline drugs with the promise held by emerging quinoline-based compounds. Additionally, the simulation of interactions between quinoline compounds and proteins through computer-aided design enhances our understanding of these compounds' efficacy.

Indexed as

Antineoplastic AgentsNeoplasmsQuinolinesDrug DesignHumansMolecular StructureAntineoplastic AgentsQuinolinesanticancer agentsCADDcancerHCCQuinolinetarget.

Identifiers

PMID37877504
OpenAlexW4387930759

What OpenQuestion holds

Textmetadata
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.