Evidence mapPaperPMID 34326318Full record

ArticleCell death discovery2021

A novel chemical inhibitor suppresses breast cancer cell growth and metastasis through inhibiting HPIP oncoprotein.

Pengyun Li, Shengjie Cao, Yubing Huang, Yanan Zhang, Jie Liu, Xu Cai, Lulu Zhou, Jianbin Li, Zefei Jiang, Lihua Ding and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell death discovery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Role of photobleaching process of indocyanine green for killing neuroblastoma cells.Biochemical and biophysical research communications · 2022
    Article
  3. Article
  4. 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

13 authors at 4 institutions in 3 countries.

Pengyun LiDepartment of Medical Molecular Biology, Beijing Institute of Biotechnology, Beijing, 100850, China.
Shengjie CaoLaboratory of Computer-Aided Drug Design & Discovery, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Yubing HuangDepartment of Medical Molecular Biology, Beijing Institute of Biotechnology, Beijing, 100850, China.
Yanan ZhangDepartment of Medical Molecular Biology, Beijing Institute of Biotechnology, Beijing, 100850, China.ORCID http://orcid.org/0000-0002-5039-0348
Jie LiuDepartment of Medical Molecular Biology, Beijing Institute of Biotechnology, Beijing, 100850, China.
Xu CaiLaboratory of Computer-Aided Drug Design & Discovery, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Lulu ZhouLaboratory of Computer-Aided Drug Design & Discovery, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Jianbin LiDepartment of Medical Molecular Biology, Beijing Institute of Biotechnology, Beijing, 100850, China.
Zefei JiangFifth Medical Center of PLA General Hospital, Beijing, 100071, China.
Lihua DingDepartment of Medical Molecular Biology, Beijing Institute of Biotechnology, Beijing, 100850, China. dinglh2004@126.com.ORCID http://orcid.org/0000-0002-5280-8162
Zhibing ZhengLaboratory of Computer-Aided Drug Design & Discovery, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China. zzbcaptain@aliyun.com.
Song LiLaboratory of Computer-Aided Drug Design & Discovery, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China. lis@bmi.ac.cn.
Qinong YeDepartment of Medical Molecular Biology, Beijing Institute of Biotechnology, Beijing, 100850, China. yeqn66@yahoo.com.ORCID http://orcid.org/0000-0001-8032-8919
Chinese PLA General Hospital · CNInstitute of Pharmacology · CZInstitute of Medicinal Plant Development · CNYahoo (United Kingdom) · GB

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81630067
6 · The paper itself

Abstract

Increasing evidence suggests the pivotal role of hematopoietic pre-B-cell leukemia transcription factor (PBX)-interacting protein (HPIP/PBXIP1) in cancer development and progression, indicating that HPIP inhibition may be a promising target for cancer therapy. Here, we screened compounds inhibiting breast cancer cell proliferation with HPIP fused with green fluorescent protein as a reporter. A novel agent named TXX-1-10 derived from rimonabant, an antagonist of cannabinoid receptor 1 with anticancer effects, has been discovered to reduce HPIP expression and has greater inhibitory effects on breast cancer cell growth and metastasis in vitro and in vivo than rimonabant. TXX-1-10 regulates HPIP downstream targets, including several important kinases involved in cancer development and progression (e.g., AKT, ERK1/2, and FAK) as well as cell cycle-, apoptosis-, migration-, and epithelial-to-mesenchymal transition (EMT)-related genes. Consistent with the results of anticancer effects, genome-wide RNA sequencing indicated that TXX-1-10 has more significant effects on regulation of the expression of genes related to DNA replication, cell cycle, apoptosis, cell adhesion, cell migration, and invasion than rimonabant. In addition, TXX-1-10 significantly regulated genes associated with the cell growth and extracellular matrix organization, many of which were shown to be regulated by HPIP. Moreover, compared with rimonabant, TXX-1-10 greatly reduces blood-brain barrier penetrability to avoid adverse central depressive effects. These findings suggest that HPIP inhibition may be a useful strategy for cancer treatment and TXX-1-10 is a promising candidate drug for cancer therapy.

Identifiers

PMID34326318
PMCPMC8322322
OpenAlexW3184072230

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.