Evidence map›Paper›PMID 34386075›Full record

ArticleOncology letters2021

Anti-malarial drug dihydroartemisinin downregulates the expression levels of

Liyuan Hao, Shenghao Li, Qing Peng, Yinglin Guo, Jingmin Ji, Zhiqin Zhang, Yu Xue, Yiwei Liu, Xinli Shi

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. The Therapeutic Potential of Dihydroartemisinin in Cancer Treatment.International journal of molecular sciences · 2026
    Review
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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 1 institution in 1 country.

Liyuan HaoDepartment of Pathobiology and Immunology, Hebei University of Chinese Medicine, Shijiazhuang, Hebei 050200, P.R. China.
Shenghao LiDepartment of Pathobiology and Immunology, Hebei University of Chinese Medicine, Shijiazhuang, Hebei 050200, P.R. China.
Qing PengDepartment of Pathobiology and Immunology, Hebei University of Chinese Medicine, Shijiazhuang, Hebei 050200, P.R. China.
Yinglin GuoDepartment of Pathobiology and Immunology, Hebei University of Chinese Medicine, Shijiazhuang, Hebei 050200, P.R. China.
Jingmin JiDepartment of Pathobiology and Immunology, Hebei University of Chinese Medicine, Shijiazhuang, Hebei 050200, P.R. China.
Zhiqin ZhangDepartment of Pathobiology and Immunology, Hebei University of Chinese Medicine, Shijiazhuang, Hebei 050200, P.R. China.
Yu XueDepartment of Pathobiology and Immunology, Hebei University of Chinese Medicine, Shijiazhuang, Hebei 050200, P.R. China.
Yiwei LiuDepartment of Pathobiology and Immunology, Hebei University of Chinese Medicine, Shijiazhuang, Hebei 050200, P.R. China.
Xinli ShiDepartment of Pathobiology and Immunology, Hebei University of Chinese Medicine, Shijiazhuang, Hebei 050200, P.R. China.
Hebei University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cancer is the third leading cause of cancer-associated mortality worldwide. By the time liver cancer is diagnosed, it is already in the advanced stage. Therefore, novel therapeutic strategies need to be identified to improve the prognosis of patients with liver cancer. In the present study, the profiles of GSE84402, GSE19665 and GSE121248 were used to screen differentially expressed genes (DEGs). Subsequently, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses for DEGs were conducted using the Database for Annotation, Visualization and Integrated Discovery. The protein-protein interaction network was established to screen the hub genes associated with liver cancer. Additionally, the expression levels of hub genes were validated using the Gene Expression Profiling Interactive Analysis and Oncomine databases. In addition, the prognostic value of hub genes in patients with liver cancer was analyzed using Kaplan-Meier Plotter. It was demonstrated that 132 and 246 genes were upregulated and downregulated, respectively, in patients with liver cancer. Among these DEGs, 10 hub genes with high connected node values were identified, which were

Indexed as

bioinformatics analysisCCNB1CDK1dihydroartemisininliver cancer

Identifiers

PMID34386075
PMCPMC8299009
OpenAlexW3181394750

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.