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Identification of target genes co-regulated by four key histone modifications of five key regions in hepatocellular carcinoma.
Liu, Yu-Xian; Song, Jia-Le; Li, Xiao-Ming; Lin, Hao; Cao, Yan-Ni.
Affiliation
  • Liu YX; School of Artificial Intelligence, Anhui University of Science and Technology, Huainan 232001, China. Electronic address: yxl@aust.edu.cn.
  • Song JL; School of Artificial Intelligence, Anhui University of Science and Technology, Huainan 232001, China.
  • Li XM; School of Artificial Intelligence, Anhui University of Science and Technology, Huainan 232001, China.
  • Lin H; Key Laboratory for Neuro-Information of Ministry of Education, Center for Informational Biology, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China. Electronic address: hlin@uestc.edu.cn.
  • Cao YN; School of Artificial Intelligence, Anhui University of Science and Technology, Huainan 232001, China. Electronic address: cyn@aust.edu.cn.
Methods ; 231: 165-177, 2024 Sep 28.
Article in En | MEDLINE | ID: mdl-39349287
ABSTRACT
Hepatocellular carcinoma (HCC) is a cancer with high morbidity and mortality. Studies have shown that histone modification plays an important regulatory role in the occurrence and development of HCC. However, the specific regulatory effects of histone modifications on gene expression in HCC are still unclear. This study focuses on HepG2 cell lines and hepatocyte cell lines. First, the distribution of histone modification signals in the two cell lines was calculated and analyzed. Then, using the random forest algorithm, we analyzed the effects of different histone modifications and their modified regions on gene expression in the two cell lines, four key histone modifications (H3K36me3, H3K4me3, H3K79me2, and H3K9ac) and five key regions that co-regulate gene expression were obtained. Subsequently, target genes regulated by key histone modifications in key regions were screened. Combined with clinical data, Cox regression analysis and Kaplan-Meier survival analysis were performed on the target genes, and four key target genes (CBX2, CEBPZOS, LDHA, and UMPS) related to prognosis were identified. Finally, through immune infiltration analysis and drug sensitivity analysis of key target genes, the potential role of key target genes in HCC was confirmed. Our results provide a theoretical basis for exploring the occurrence of HCC and propose potential biomarkers associated with histone modifications, which may be potential drug targets for the clinical treatment of HCC.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Methods / Methods (S. Diego) / Methods (San Diego) Journal subject: BIOQUIMICA Year: 2024 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Methods / Methods (S. Diego) / Methods (San Diego) Journal subject: BIOQUIMICA Year: 2024 Document type: Article Country of publication: United States