Evidence map›Paper›PMID 32761301›Full record

ArticleMolecular biology reports2020

The AKR1B1 inhibitor epalrestat suppresses the progression of cervical cancer.

Jie Ji, Min-Xue Xu, Tian-Yang Qian, Sheng-Ze Zhu, Feng Jiang, Zhao-Xiu Liu, Wei-Song Xu, Juan Zhou, Ming-Bing Xiao

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 29 citations in OpenAlex.

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  12. The possible role of methylglyoxal metabolism in cancer.Journal of enzyme inhibition and medicinal chemistry · 2021
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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 2 institutions in 1 country.

Jie Ji *Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, People's Republic of China.
Min-Xue Xu *Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, People's Republic of China.
Tian-Yang QianChinese Medicine 193, First Clinical Medical School, Nanjing University of Chinese Medicine, Nanjing, People's Republic of China.
Sheng-Ze ZhuMedical College, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China.
Feng JiangDepartment of Gastroenterology and Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, No. 20 Xisi Road, Nantong, 226001, People's Republic of China.
Zhao-Xiu LiuDepartment of Gastroenterology and Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, No. 20 Xisi Road, Nantong, 226001, People's Republic of China.
Wei-Song XuDepartment of Gastroenterology, Second People's Hospital of Nantong, Nantong, 226001, Jiangsu, People's Republic of China.
Juan ZhouDepartment of Respiratory Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, People's Republic of China. zhoujuan_1974@163.com.
Ming-Bing XiaoResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, People's Republic of China. xmb73@163.com.ORCID http://orcid.org/0000-0003-3372-1069
Nantong University · CNNanjing University of Chinese Medicine · CN

Funding

Key Research and Development Plan of Jiangsu Province BE2019692Postdoctoral Science Foundation of China 2019M661909Teaching Research Project of Affiliated Hospital of Nantong University Tfj 18006the Social Development Foundation of Nantong City MS12019018the Social Development Foundation of Nantong City MS12019020the Social Development Foundation of Nantong City MS22018006
6 · The paper itself

Abstract

Cervical cancer is the leading cause of cancer-related death among women worldwide. Identifying an effective treatment with fewer side effects is imperative, because all of the current treatments have unique disadvantages. Aldo-keto reductase family 1 member B1 (AKR1B1) is highly expressed in various cancers and is associated with tumor development, but has not been studied in cervical cancer. In the current study, we used CRISPR/Cas9 technology to establish a stable HeLa cell line with AKR1B1 knockout. In vitro, AKR1B1 knockout inhibited the proliferation, migration and invasion of HeLa cells, providing evidence that AKR1B1 is an innovative therapeutic target. Notably, the clinically used epalrestat, an inhibitor of aldose reductases, including AKR1B1, had the same effect as AKR1B1 knockout on HeLa cells. This result suggests that epalrestat could be used in the clinical treatment of cervical cancer, a prospect that undoubtedly requires further research. Moreover, aiming to determine the underlying regulatory mechanism of AKR1B1, we screened a series of differentially regulated genes (DEGs) by RNA sequencing and verified selected DEGs by quantitative RT-PCR. In addition, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of the DEGs revealed a correlation between AKR1B1 and cancer. In summary, epalrestat inhibits the progression of cervical cancer by inhibiting AKR1B1, and thus may be a new drug for the clinical treatment of cervical cancer.

Indexed as

Aldehyde ReductaseCell DivisionCell MovementEnzyme InhibitorsFemaleGene Expression Regulation, NeoplasticGene Knockdown TechniquesGene OntologyHeLa CellsHumansNeoplasm InvasivenessNeoplasm ProteinsRhodanineRNA, Guide, CRISPR-Cas SystemsThiazolidinesTumor Stem Cell AssayAKR1B1 protein, humanAldehyde ReductaseEnzyme InhibitorsepalrestatNeoplasm ProteinsRhodanineRNA, Guide, CRISPR-Cas SystemsThiazolidinesAKR1B1Cervical cancerEpalrestatRNA sequencing

Identifiers

PMID32761301
OpenAlexW3047464915

What OpenQuestion holds

Textmetadata
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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.