Evidence map›Paper›PMID 36230632›Full record

ArticleCancers2022

Identification of Monobenzone as a Novel Potential Anti-Acute Myeloid Leukaemia Agent That Inhibits RNR and Suppresses Tumour Growth in Mouse Xenograft Model.

Jingwen Dong, Tingting Zhong, Zhijian Xu, Haiyi Chen, Xianjun Wang, Lili Yang, Zhiyuan Lou, Yuanling Xu, Tingjun Hou, Rongzhen Xu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. 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
0.5field-weighted citation impact, top 44% 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, 6 citations in OpenAlex.

  1. Review
  2. LncRNAiScience · 2025
    Article
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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

12 authors at 5 institutions in 1 country.

Jingwen DongDepartment of Pathology and Pathophysiology, Cancer Institute of the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310005, China.
Tingting ZhongDepartment of Pathology of Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310020, China.
Zhijian XuDrug Discovery and Design Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 310063, China.ORCID 0000-0002-3063-8473
Haiyi ChenHangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310030, China.
Xianjun WangDepartment of Pathology and Pathophysiology, Cancer Institute of the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310005, China.
Lili YangDepartment of Pathology and Pathophysiology, Cancer Institute of the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310005, China.
Zhiyuan LouDepartment of Pathology and Pathophysiology, Cancer Institute of the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310005, China.
Yuanling XuDepartment of Pathology and Pathophysiology, Cancer Institute of the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310005, China.
Tingjun HouHangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310030, China.
Rongzhen XuDepartment of Pathology and Pathophysiology, Cancer Institute of the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310005, China.ORCID 0000-0002-5865-0589
Weiliang ZhuDrug Discovery and Design Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 310063, China.
Jimin ShaoDepartment of Pathology and Pathophysiology, Cancer Institute of the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310005, China.ORCID 0000-0003-4792-5433
Second Affiliated Hospital of Zhejiang University · CNZhejiang Cancer Hospital · CNChinese Academy of Sciences · CNZhejiang University · CNSir Run Run Shaw Hospital · CN

Funding

National Natural Science Foundation of China 81372138National Natural Science Foundation of China 81572384National Natural Science Foundation of China 81972270National Natural Science Foundation of China 82172600the National Key R&D Program of China 2016YFC1303401
6 · The paper itself

Abstract

Acute myeloid leukaemia (AML) is one of the most common types of haematopoietic malignancy. Ribonucleotide reductase (RNR) is a key enzyme required for DNA synthesis and cell proliferation, and its small subunit RRM2 plays a key role for the enzymatic activity. We predicted monobenzone (MB) as a potential RRM2 target compound based on the crystal structure of RRM2. In vitro, MB inhibited recombinant RNR activity (IC50 = 0.25 μM). Microscale thermophoresis indicated that MB inhibited RNR activity by binding to RRM2. MB inhibited cell proliferation (MTT IC50 = 6-18 μM) and caused dose-dependent DNA synthesis inhibition, cell cycle arrest, and apoptosis in AML cells. The cell cycle arrest was reversed by the addition of deoxyribonucleoside triphosphates precursors, suggesting that RNR was the intracellular target of the compound. Moreover, MB overcame drug resistance to the common AML drugs cytarabine and doxorubicin, and treatment with the combination of MB and the Bcl-2 inhibitor ABT-737 exerted a synergistic inhibitory effect. Finally, the nude mice xenografts study indicated that MB administration produced a significant inhibitory effect on AML growth with relatively weak toxicity. Thus, we propose that MB has the potential as a novel anti-AML therapeutic agent in the future.

Indexed as

acute myeloid leukaemiaanti-proliferative activitycombination therapymonobenzoneribonucleotide reductase

Identifiers

PMID36230632
PMCPMC9564123
OpenAlexW4297348289

What OpenQuestion 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 OpenQuestion graph.