Evidence map›Paper›PMID 35456460›Full record

ArticleGenes2022

Bioinformatics Analysis Highlight Differentially Expressed CCNB1 and PLK1 Genes as Potential Anti-Breast Cancer Drug Targets and Prognostic Markers.

Leiming Fang, Qi Liu, Hongtu Cui, Yunji Zheng, Chengjun Wu

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
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  17. Only InfantInternational journal of molecular sciences · 2024
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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

5 authors at 2 institutions in 1 country.

Leiming FangSchool of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China.
Qi LiuSchool of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China.
Hongtu CuiSchool of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China.
Yunji ZhengSchool of Pharmacy, Binzhou Medical University, Yantai 264003, China.
Chengjun WuSchool of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China.
Dalian University of Technology · CNBinzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the most common malignant tumors in women worldwide. Early diagnosis, treatment, and prognosis of breast cancer are global challenges. Identification of valid predictive diagnosis and prognosis biomarkers and drug targets are crucial for breast cancer prevention. This study characterizes differentially expressed genes (DEGs) based on the TCGA database by using DESeq2, edgeR, and limma. A total of 2032 DEGs, including 1026 up-regulated genes and 1006 down-regulated genes were screened. Followed with WGCNA, PPI analysis, GEPIA 2, and HPA database verification, thirteen hub genes including

Indexed as

Breast NeoplasmsComputational BiologyCell Cycle ProteinsCyclin B1FemaleGene Expression Regulation, NeoplasticGenes, cdcHumansPolo-Like Kinase 1PrognosisProtein Serine-Threonine KinasesProto-Oncogene ProteinsCCNB1 protein, humanCell Cycle ProteinsCyclin B1Polo-Like Kinase 1Protein Serine-Threonine KinasesProto-Oncogene Proteinsbreast cancerCCNB1DEGshub genesPLK1

Identifiers

PMID35456460
PMCPMC9027215
OpenAlexW4224225221

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.