The diagnostic and prognostic value of H2AFY in hepatocellular carcinoma

Abstract Background The potential correlation between H2AFY (also known as MacroH2A1) and the clinical characteristics of hepatocellular carcinoma (HCC) patients was analysed through gene expression profiles and clinical data in The Cancer Genome Atlas (TCGA) database, and the diagnostic and prognos...

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Main Authors: Xuyang Ma, Ying Ding, Li Zeng
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Cancer
Subjects:
Online Access:https://doi.org/10.1186/s12885-021-08161-4
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spelling doaj-b79960953f9e4a9e8d308afdf2047bbc2021-04-18T11:48:52ZengBMCBMC Cancer1471-24072021-04-012111910.1186/s12885-021-08161-4The diagnostic and prognostic value of H2AFY in hepatocellular carcinomaXuyang Ma0Ying Ding1Li Zeng2Department of Gastroenterology, Luzhou People’s HospitalDepartment of Technology Education Training, Luzhou People’s HospitalDepartment of Technology Education Training, Luzhou People’s HospitalAbstract Background The potential correlation between H2AFY (also known as MacroH2A1) and the clinical characteristics of hepatocellular carcinoma (HCC) patients was analysed through gene expression profiles and clinical data in The Cancer Genome Atlas (TCGA) database, and the diagnostic and prognostic value of H2AFY in HCC was discussed. Methods The gene expression data of HCC and the corresponding clinical characteristics of HCC patients were downloaded from the TCGA database. The differences in H2AFY in normal liver tissues and HCC were analysed. The relationship between H2AFY and clinical characteristics was analysed by Wilcoxon signed-rank test, logistic regression and Kruskal-Wallis test. The Kaplan-Meier method and the Cox regression method were used to analyse the relationship between overall survival and clinical characteristics of the patients. An ROC curve was used to predict the diagnostic value of H2AFY in HCC. Gene set enrichment analysis (GSEA) was used to analyse the pathway enrichment of H2AFY. Result Compared with normal liver tissues, H2AFY was significantly highly expressed in HCC. H2AFY was positively correlated with the age, clinical stage, G stage (grade) and T stage (tumor stage) of liver cancer patients. Higher H2AFY expression predicted a poor prognosis in HCC patients. Cox regression analysis suggested that H2AFY was an independent risk factor for the prognosis of HCC patients. The ROC curve suggested that H2AFY had certain diagnostic value in HCC. GSEA suggested that H2AFY was correlated with lipid metabolism and a variety of tumour pathways. Conclusion Our study showed that H2AFY was significantly overexpressed in HCC. H2AFY may be a potential diagnostic and prognostic marker for HCC, and high expression of H2AFY predicts a poor prognosis in patients with HCC.https://doi.org/10.1186/s12885-021-08161-4H2AFYMacroH2A1Hepatocellular carcinomaBioinformatics
collection DOAJ
language English
format Article
sources DOAJ
author Xuyang Ma
Ying Ding
Li Zeng
spellingShingle Xuyang Ma
Ying Ding
Li Zeng
The diagnostic and prognostic value of H2AFY in hepatocellular carcinoma
BMC Cancer
H2AFY
MacroH2A1
Hepatocellular carcinoma
Bioinformatics
author_facet Xuyang Ma
Ying Ding
Li Zeng
author_sort Xuyang Ma
title The diagnostic and prognostic value of H2AFY in hepatocellular carcinoma
title_short The diagnostic and prognostic value of H2AFY in hepatocellular carcinoma
title_full The diagnostic and prognostic value of H2AFY in hepatocellular carcinoma
title_fullStr The diagnostic and prognostic value of H2AFY in hepatocellular carcinoma
title_full_unstemmed The diagnostic and prognostic value of H2AFY in hepatocellular carcinoma
title_sort diagnostic and prognostic value of h2afy in hepatocellular carcinoma
publisher BMC
series BMC Cancer
issn 1471-2407
publishDate 2021-04-01
description Abstract Background The potential correlation between H2AFY (also known as MacroH2A1) and the clinical characteristics of hepatocellular carcinoma (HCC) patients was analysed through gene expression profiles and clinical data in The Cancer Genome Atlas (TCGA) database, and the diagnostic and prognostic value of H2AFY in HCC was discussed. Methods The gene expression data of HCC and the corresponding clinical characteristics of HCC patients were downloaded from the TCGA database. The differences in H2AFY in normal liver tissues and HCC were analysed. The relationship between H2AFY and clinical characteristics was analysed by Wilcoxon signed-rank test, logistic regression and Kruskal-Wallis test. The Kaplan-Meier method and the Cox regression method were used to analyse the relationship between overall survival and clinical characteristics of the patients. An ROC curve was used to predict the diagnostic value of H2AFY in HCC. Gene set enrichment analysis (GSEA) was used to analyse the pathway enrichment of H2AFY. Result Compared with normal liver tissues, H2AFY was significantly highly expressed in HCC. H2AFY was positively correlated with the age, clinical stage, G stage (grade) and T stage (tumor stage) of liver cancer patients. Higher H2AFY expression predicted a poor prognosis in HCC patients. Cox regression analysis suggested that H2AFY was an independent risk factor for the prognosis of HCC patients. The ROC curve suggested that H2AFY had certain diagnostic value in HCC. GSEA suggested that H2AFY was correlated with lipid metabolism and a variety of tumour pathways. Conclusion Our study showed that H2AFY was significantly overexpressed in HCC. H2AFY may be a potential diagnostic and prognostic marker for HCC, and high expression of H2AFY predicts a poor prognosis in patients with HCC.
topic H2AFY
MacroH2A1
Hepatocellular carcinoma
Bioinformatics
url https://doi.org/10.1186/s12885-021-08161-4
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