Evidence map›Paper›PMID 34277395›Full record

ArticleFrontiers in oncology2021

Identification and Validation of Hub Genes Associated With Hepatocellular Carcinoma

Sumei Wang, Zuoli Song, Bing Tan, Jinjuan Zhang, Jiandong Zhang, Shuye Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

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  3. Frontiers in oncology · 2025
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  10. [Screening and validation of pivotal genes in hepatitis B virus-associated hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023
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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

6 authors at 4 institutions in 1 country.

Sumei WangDepartment of Clinical Laboratory, The Third Central Hospital of Tianjin, Tianjin, China.
Zuoli SongDepartment of Clinical Laboratory, The Third Central Hospital of Tianjin, Tianjin, China.
Bing TanDepartment of Clinical Laboratory, The Third Central Hospital of Tianjin, Tianjin, China.
Jinjuan ZhangTianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China.
Jiandong ZhangDepartment of Clinical Laboratory, The Third Central Hospital of Tianjin, Tianjin, China.
Shuye LiuDepartment of Clinical Laboratory, The Third Central Hospital of Tianjin, Tianjin, China.
Tianjin Fire Research Institute · CNTianjin Third Central Hospital · CNTianjin International Joint Academy of Biomedicine · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the most common malignant tumor of the liver, with high morbidity and mortality, yet its molecular mechanisms of tumorigenesis are still unclear. In this study, gene expression profile of GSE62232 was downloaded from the Gene Expression Omnibus (GEO). The RNA-seq expression data and relative clinical information were retrieved from the Cancer Genome Atlas (TCGA) database. The datasets were analyzed by differential gene expression analysis and Weighted Gene Co-expression Network Analysis (WGCNA) to obtain the overlapping genes. Then, we performed a functional enrichment analysis to understand the potential biological functions of these co-expression genes. Finally, we constructed the protein-protein interaction (PPI) analysis combined with survival analysis. MARCO, CLEC4M, FCGR2B, LYVE1, TIMD4, STAB2, CFP, CLEC4G, CLEC1B, FCN2, FCN3 and FOXO1 were identified as the candidate hub genes using the CytoHubba plugin of Cytoscape. Based on survival analysis, the lower expression of FCN3 and FOXO1 were associated with worse overall survival (OS) in HCC patients. Furthermore, the expression levels of FCN3 and FOXO1 were validated by the Human Protein Atlas (HPA) database and the qRT-PCR. In summary, our findings contribute new ideas for the precise early diagnosis, clinical treatment and prognosis of HCC in the future.

Indexed as

biomarkerGEOhepatocellular carcinomaTCGAweighted gene co-expression network analysis

Identifiers

PMID34277395
PMCPMC8278315
OpenAlexW3174749768

What OpenQuestion holds

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Registered trials

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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.