Evidence map›Paper›PMID 39128086›Full record

ArticleThe Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology2024

Diagnostic and Prognostic Value of Methyltransferase Like 13 in Hepatocellular Carcinoma Based on Bioinformatics Analysis.

Yuanzhang Wen, Jiwei Xu, Huancheng Zhou, Wanwei Liu

Abstract readEvaluation Study
In one paragraph

Article in The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuanzhang WenDepartment of Hepatobiliary Surgery, Meizhou People's Hospital, Meizhou, Guangdong, China.
Jiwei XuDepartment of Hepatobiliary Surgery, Meizhou People's Hospital, Meizhou, Guangdong, China.
Huancheng ZhouDepartment of Hepatobiliary Surgery, Meizhou People's Hospital, Meizhou, Guangdong, China.
Wanwei LiuDepartment of Hepatobiliary Surgery, Meizhou People's Hospital, Meizhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsHepatocellular carcinoma (HCC) is one of the cancers with the highest incidence and mortality rates. This study aims to explore the diagnostic and prognostic utility of methyltransferase like 13 (METTL13) in patients with HCC via bioinformatics analysis. MATERIALS AND

methodsWe obtained mRNA data of HCC from the database of the Cancer Genome Atlas (TCGA), drawing survival curve by R 4.2.1 software. Cox regression analysis was conducted based on tumor stage and METTL13 expression. The GSE114564 dataset was chosen from the Gene Expression Omnibus. The differences in serum METTL13 levels between the groups of early HCC (eHCC) and non-cancer controls were evaluated. Using a receiver operating characteristic curve, we calculated the area under the curve (AUC) of serum METTL13 for diagnosing eHCC.

resultsA total of 225 cases with HCC were screened from TCGA, and 29 cases were normal controls. The results showed that the METTL13 expression in the HCC group was higher than that in the normal controls (P <.001). The univariate [hazard ratio (HR) = 1.895, P = .006] and multivariate Cox regression (HR = 1.702, P = .037) analyses showed that high METTL13 expression reduced overall survival in HCC. Serum METTL13 levels were higher in the eHCC group than in the non-cancer controls (P = .008). The optimum AUC for predicting eHCC by serum METTL13 was 0.7091.

conclusionSerum METTL13 has a moderate diagnostic value for eHCC. High METTL13 expression is correlated with a worse prognosis in patients with HCC. Methyltransferase like 13 possesses the potential to be a novel biomarker for HCC.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularComputational BiologyLiver NeoplasmsMethyltransferasesAgedArea Under CurveCase-Control StudiesFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRNA, MessengerROC CurveBiomarkers, TumorMethyltransferasesRNA, Messenger

Identifiers

PMID39128086
PMCPMC11181289

What Socratic holds

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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 Socratic graph.