Evidence map›Paper›PMID 34491228›Full record

ArticleAging2021

Low expression of KIF20A suppresses cell proliferation, promotes chemosensitivity and is associated with better prognosis in HCC.

Chuanxing Wu, Xiaosheng Qi, Zhengjun Qiu, Guilong Deng, Lin Zhong

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 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  5. Identification of prognosis-related key genes in hepatocellular carcinoma based on bioinformatics analysis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
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  8. Gene targets with therapeutic potential in hepatocellular carcinoma.World journal of gastrointestinal oncology · 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.

Chuanxing WuDepartment of General Surgery, Shanghai General Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.
Xiaosheng QiDepartment of General Surgery, Shanghai General Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.
Zhengjun QiuDepartment of General Surgery, Shanghai General Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.
Guilong DengDepartment of General Surgery, Shanghai General Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.
Lin ZhongDepartment of General Surgery, Shanghai General Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China.
Shanghai Jiao Tong University · CNShanghai First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analysed the microarray datasets from Gene Expression Omnibus (GEO) database, and aimed to identify novel potential hub genes associated with the progression of HCC via bioinformatics analysis and experimental validation. The common differentially expressed genes (DEGs) from five GEO datasets were screened using GEO2R tool. The expression and survival analysis of hub genes in HCC were performed using Gene Expression Profiling Interactive Analysis, UALCAN and Kaplan-Meier plotter tools.

Indexed as

Antineoplastic AgentsBiomarkers, TumorCarcinoma, HepatocellularCell Line, TumorCell ProliferationDatabases, GeneticDisease ProgressionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKinesinsLiver NeoplasmsPrognosisSurvival AnalysisAntineoplastic AgentsBiomarkers, TumorKIF20A protein, humanKinesinsHCChub genesKIF20Aprognosisproliferation

Identifiers

PMID34491228
PMCPMC8507281
OpenAlexW3197307604

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.