Evidence map›Paper›PMID 34686627›Full record

ArticleAging2021

Selected ideal natural ligand against TNBC by inhibiting CDC20, using bioinformatics and molecular biology.

Naimeng Liu, Xinhui Wang, Zhu Zhu, Duo Li, Xiaye Lv, Yichang Chen, Haoqun Xie, Zhen Guo, Dong Song

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2021. 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
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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 5 institutions in 1 country.

Naimeng LiuDepartment of Breast Surgery, The First Hospital of Jilin University, Changchun, China.
Xinhui WangDepartment of Oncology, First People's Hospital of Xinxiang, Xinxiang, China.
Zhu ZhuDepartment of Breast Surgery, The First Hospital of Jilin University, Changchun, China.
Duo LiDepartment of General Surgery, China-Japan Friendship Hospital, Beijing, China.
Xiaye LvDepartment of Hematology, The First Clinical Medical School of Lanzhou University, Lanzhou, Gansu, China.
Yichang ChenDepartment of Breast Surgery, The First Hospital of Jilin University, Changchun, China.
Haoqun XieClinical College, Jilin University, Changchun, China.
Zhen GuoClinical College, Jilin University, Changchun, China.
Dong SongDepartment of Breast Surgery, The First Hospital of Jilin University, Changchun, China.
First Hospital of Jilin University · CNJilin University · CNChina-Japan Friendship Hospital · CNLanzhou University · CNXinxiang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectFind potential therapeutic targets of triple-negative breast cancer (TNBC) patients by bioinformatics. Screen ideal natural ligand that can bind with the potential target and inhibit it by using molecular biology.

methodsBioinformatics and molecular biology were combined to analyze potential therapeutic targets. Differential expression analysis identified the differentially expressed genes (DEGs) between TNBC tissues and non-TNBC tissues. The functional enrichment analyses of DEGs shown the important gene ontology (GO) terms and pathways of TNBC. Protein-protein interaction (PPI) network construction screened 20 hub genes, while Kaplan website was used to analyze the relationship between the survival curve and expression of hub genes. Then Discovery Studio 4.5 screened ideal natural inhibitors of the potential therapeutic target by LibDock, ADME, toxicity prediction, CDOCKER and molecular dynamic simulation.

results1,212 and 353 DEGs were respectively found between TNBC tissues and non-TNBC tissues, including 88 up-regulated and 141 down-regulated DEGs in both databases. 20 hub genes were screened, and the higher expression of CDC20 was associated with a poor prognosis. Therefore, we chose CDC20 as the potential therapeutic target. 7,416 natural ligands were conducted to bind firmly with CDC20, and among these ligands, ZINC000004098930 was regarded as the potential ideal ligand, owing to its non-hepatotoxicity, more solubility level and less carcinogenicity than the reference drug, apcin. The ZINC000004098930-CDC20 could exist stably in natural environment.

conclusion20 genes were regarded as hub genes of TNBC and most of them were relevant to the survival curve of breast cancer patients, especially CDC20. ZINC000004098930 was chosen as the ideal natural ligand that can targeted and inhibited CDC20, which may give great contribution to TNBC targeted treatment.

Indexed as

Triple Negative Breast NeoplasmsBiomarkers, TumorCdc20 ProteinsComputational BiologyFemaleGene Expression Regulation, NeoplasticHumansLigandsMolecular Dynamics SimulationProtein Interaction MapsTranscriptomeBiomarkers, TumorCDC20 protein, humanCdc20 ProteinsLigandsCDC20drug developmenttargeted therapyTNBCvirtual screening

Identifiers

PMID34686627
PMCPMC8580355
OpenAlexW3187835674

What Socratic holds

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LicenceCC BY
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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 Socratic graph.