Evidence map›Paper›PMID 34467992›Full record

ArticleMutagenesis2021

Expression pattern and prognostic value of N6-methyladenosine RNA methylation key regulators in hepatocellular carcinoma.

Min Deng, Lin Fang, Shao-Hua Li, Rong-Ce Zhao, Jie Mei, Jing-Wen Zou, Wei Wei, Rong-Ping Guo

Open access · hybridAbstract read
In one paragraph

Article in Mutagenesis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

8 authors at 2 institutions in 1 country.

Min DengDepartment of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.ORCID 0000-0002-6775-2210
Lin FangGuangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Shao-Hua LiDepartment of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Rong-Ce ZhaoDepartment of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jie MeiDepartment of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jing-Wen ZouDepartment of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Wei WeiDepartment of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Rong-Ping GuoDepartment of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Sun Yat-sen University · CNNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is still one of the most common malignancies worldwide. The accuracy of biomarkers for predicting the prognosis of HCC and the therapeutic effect is not satisfactory. N6-methyladenosine (m6A) methylation regulators play a crucial role in various tumours. Our research aims further to determine the predictive value of m6A methylation regulators and establish a prognostic model for HCC. In this study, the data of HCC from The Cancer Genome Atlas (TCGA) database was obtained, and the expression level of 15 genes and survival was examined. Then we identified two clusters of HCC with different clinical factors, constructed prognostic markers and analysed gene set enrichment, proteins' interaction and gene co-expression. Three subgroups by consensus clustering according to the expression of the 13 genes were identified. The risk score generated by five genes divided HCC patients into high-risk and low-risk groups. In addition, we developed a prognostic marker that can identify high-risk HCC. Finally, a novel prognostic nomogram was developed to accurately predict HCC patients' prognosis. The expression levels of 13 m6A RNA methylation regulators were significantly upregulated in HCC samples. The prognosis of cluster 1 and cluster 3 was worse. Patients in the high-risk group show a poor prognosis. Moreover, the risk score was an independent prognostic factor for HCC patients. In conclusion, we reveal the critical role of m6A RNA methylation modification in HCC and develop a predictive model based on the m6A RNA methylation regulators, which can accurately predict HCC patients' prognosis and provide meaningful guidance for clinical treatment.

Indexed as

Biomarkers, TumorAdenosineCarcinoma, HepatocellularCluster AnalysisComputational BiologyDatabases, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLiver NeoplasmsMethylationPrognosisProtein Interaction MappingProtein Interaction MapsRNAROC CurveAdenosineBiomarkers, TumorN-methyladenosineRNA

Identifiers

PMID34467992
PMCPMC8493108
OpenAlexW3197818910

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.