Evidence map›Paper›PMID 33380233›Full record

ArticleBioengineered2021

A novel four-gene of iron metabolism-related and methylated for prognosis prediction of hepatocellular carcinoma.

Huimin Shen, Hao Wu, Fengkai Sun, Jianni Qi, Qiang Zhu

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Identification ofJournal of inflammation research · 2025
    Article
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  5. [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
    Article
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  7. Transcriptomic identification of genes expressed in invasiveFrontiers in cellular and infection microbiology · 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

5 authors at 2 institutions in 1 country.

Huimin ShenDepartment of Gastroenterology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University , Jinan, China.
Hao WuDepartment of Gastroenterology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University , Jinan, China.
Fengkai SunDepartment of Gastroenterology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University , Jinan, China.
Jianni QiCentral Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University , Jinan, China.
Qiang ZhuDepartment of Gastroenterology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University , Jinan, China.ORCID 0000-0002-5843-9724
Shandong University · CNShandong Provincial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a liver disease with a complex underlying mechanism, and patients with HCC have low survival rates. Iron metabolism plays a crucial role in the pathogenesis of HCC; however, the prognostic value of iron metabolism-related and methylated genes for HCC needs to be further explored. In the present study, we identified differentially expressed genes (DEGs) that play a role in iron metabolism and DNA methylation in HCC from The Cancer Genome Atlas. Four of these DEGs, whose expression levels are correlated with HCC prognosis, namely, RRM2, FTCD, CYP2C9, and ATP6V1C1, were further used to construct a prognostic model for HCC, wherein the risk score was calculated using the gene expression of the four DEGs. This could be used to predict the overall survival of HCC patients for 1, 3, and 5 years. Results of a multivariate Cox regression analysis further indicated that the risk score was an independent variable correlated with the prognosis of HCC patients. The identified gene signature was further validated using an independent cohort of HCC patients from the International Cancer Genome Consortium. Weighted gene co-expression network analysis and gene set enrichment analysis were performed to identify potential regulatory mechanisms of the gene signature in HCC. Taken together, we identified key prognostic factors of iron metabolism-related and methylated genes for HCC, providing a potential treatment strategy for HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsBiomarkers, TumorCohort StudiesDatabases, GeneticDNA MethylationFemaleGenomicsHumansIronLiverMalePrognosisBiomarkers, TumorIronDNA methylationHepatocellular carcinomaICGCiron metabolismprognosisTCGA

Identifiers

PMID33380233
PMCPMC8806199
OpenAlexW3114057333

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.