Evidence map›Paper›PMID 40302782›Full record

ArticleResearch (Washington, D.C.)2025

Discovery of a Novel Selective PAK1/HDAC6/HDAC10 Inhibitor ZMF-25 that Induces Mitochondrial Metabolic Breakdown and Autophagy-Related Cell Death in Triple-Negative Breast Cancer.

Jin Zhang, Xiaoling Cheng, Gang Chen, Xiya Chen, Xi Zhao, Weiji Chen, Wei Du, Zhendan He, Xiaojun Yao, Bo Han and 1 more

Abstract read
In one paragraph

Article in Research (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Methyltransferase-like 3/14-mediated mResearch (Washington, D.C.) · 2026
    Article
  3. 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

11 authors.

Jin ZhangSchool of Pharmaceutical Sciences, Health Science Center, Shenzhen University, Shenzhen 518060, China.
Xiaoling ChengSchool of Pharmaceutical Sciences, Health Science Center, Shenzhen University, Shenzhen 518060, China.
Gang ChenSchool of Pharmaceutical Sciences, Health Science Center, Shenzhen University, Shenzhen 518060, China.
Xiya ChenSchool of Pharmaceutical Sciences, Health Science Center, Shenzhen University, Shenzhen 518060, China.
Xi ZhaoSchool of Pharmaceutical Sciences, Health Science Center, Shenzhen University, Shenzhen 518060, China.
Weiji ChenSchool of Pharmaceutical Sciences, Health Science Center, Shenzhen University, Shenzhen 518060, China.
Wei DuWest China School of Pharmacy, Sichuan University, Chengdu 610000, China.
Zhendan HeSchool of Pharmaceutical Sciences, Health Science Center, Shenzhen University, Shenzhen 518060, China.
Xiaojun YaoCentre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao 999078, China.
Bo HanState Key Laboratory of Southwestern Chinese Medicine Resources, Hospital of Chengdu University of Traditional Chinese Medicine, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.ORCID https://orcid.org/0000-0003-3200-4682
Dahong YaoSchool of Pharmaceutical Sciences, Shenzhen Technology University, Shenzhen 518118, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype, and addressing its intrinsic heterogeneity has emerged as a valuable avenue for novel clinical treatment strategy. Here, we put forward an innovative strategy for TNBC treatment by simultaneously suppressing both p21-activated kinase 1 (PAK1) and histone deacetylase (HDAC) class IIb (HDAC6/10). A series of pyrido [2,3-d]pyrimidin-7(8

Identifiers

PMID40302782
PMCPMC12038163

What OpenQuestion holds

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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.