Evidence map›Paper›PMID 39440140›Full record

ArticleDrug design, development and therapy2024

Novel Dichloroacetophenone-Based PDHK1 Inhibitors as Potent Anticancer Agents.

Puhua Wu, Zhicheng Zhang, Yan Zhou, Quan Liu, Kin-Yip Tam, Zhenhong Su

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug design, development and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Puhua WuHubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, School of Medicine, Hubei Polytechnic University, Huangshi, People's Republic of China.
Zhicheng ZhangHubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, School of Medicine, Hubei Polytechnic University, Huangshi, People's Republic of China.
Yan ZhouCancer Centre, Faculty of Health Sciences, University of Macau, Macau, People's Republic of China.
Quan LiuCancer Centre, Faculty of Health Sciences, University of Macau, Macau, People's Republic of China.
Kin-Yip TamCancer Centre, Faculty of Health Sciences, University of Macau, Macau, People's Republic of China.
Zhenhong SuHubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, School of Medicine, Hubei Polytechnic University, Huangshi, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pyruvate dehydrogenase kinases (PDHKs), important metabolic and abnormally expressed enzymes in cancer cells, are promising targets for cancer therapy, especially for non-small-cell lung cancer (NSCLC). Methods: In this study, a new hit, dichloroacetophenone (DAP) analog Results: This structure-activity relationship (SAR) study led to the discovery of a novel potent hybrid scaffold, dichloroacetophenone biphenylsulfone ether. Dichloroacetophenone biphenylsulfone ether Conclusion: Compound

Indexed as

AcetophenonesAntineoplastic AgentsDose-Response Relationship, DrugDrug Screening Assays, AntitumorPyruvate Dehydrogenase Acetyl-Transferring KinaseAnimalsCarcinoma, Non-Small-Cell LungCell Line, TumorCell ProliferationHumansLung NeoplasmsMiceMice, Inbred BALB CMice, NudeModels, MolecularMolecular StructureAcetophenonesAntineoplastic AgentsProtein Kinase InhibitorsProtein Serine-Threonine KinasesPyruvate Dehydrogenase Acetyl-Transferring Kinaseallosteric pocketanti-NSCLC activitydichloroacetophenonePDHK1tumor xenograft mouse model

Identifiers

PMID39440140
PMCPMC11495195

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.