[1]冯逢,林镛,彭子明,等.基于GEO芯片数据筛选铁死亡参与肝细胞癌的核心基因及中药治疗预测[J].西部中医药,2026,39(03):78-83.[doi:10.12174/j.issn.2096-9600.2026.03.16]
　FENG Feng,LIN Yong,PENG Ziming,et al.Screening of Core Genes Involved in Ferroptosis in Hepatocellular Carcinoma Based on GEO Microarray Data and Prediction of TCM Treatment[J].Western Journal of Traditional Chinese Medicine,2026,39(03):78-83.[doi:10.12174/j.issn.2096-9600.2026.03.16]
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基于GEO芯片数据筛选铁死亡参与肝细胞癌的核心基因及中药治疗预测()

《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
39
期数:
2026年03期
页码:
78-83
栏目:
二次研究
出版日期:
2026-03-15

文章信息/Info

Title:
Screening of Core Genes Involved in Ferroptosis in Hepatocellular Carcinoma Based on GEO Microarray Data and Prediction of TCM Treatment
作者:
冯逢1, 林镛1, 彭子明1, 班少群1, 苏会吉1, 毛德文2, 韦艾凌2, 龙富立1,2
1.广西中医药大学研究生院，广西 南宁 530001
2.广西中医药大学第一附属医院，广西 南宁 530023
Author(s):
FENG Feng1, LIN Yong1, PENG Ziming1, BAN Shaoqun1, SU Huiji1, MAO Dewen2, WEI Ailing2, LONG Fuli1,2
1.Graduate School of Guangxi University of Chinese Medicine, Nanning 530001, China
2.The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530023, China
关键词:
肝细胞癌; GEO数据库; 铁死亡; 生物信息学; 中药
Keywords:
hepatocellular carcinoma; GEO database; ferroptosis; bioinformatics; TCM
分类号:
R285
DOI:
10.12174/j.issn.2096-9600.2026.03.16
文献标志码:
A
摘要:
目的基于生物信息学筛选铁死亡参与肝细胞癌（hepatocellular carcinoma，HCC）的核心基因，并预测潜在干预中药。 方法利用基因表达汇编（gene expression omnibus，GEO）数据库下载GSE39791芯片数据筛选HCC差异表达基因，对差异上调、下调基因分别进行富集分析；通过铁死亡数据库（ferroptosis database，FerrDb）检索铁死亡相关基因，绘制HCC差异基因与铁死亡相关基因的韦恩图，取交集基因。下载肝细胞癌GSE57957芯片数据验证交集基因的差异表达；借助Coremine数据库预测干预交集基因的潜在中药，筛选出可能通过调控铁死亡干预HCC的中药。 结果共获得301个差异表达基因，其中上调基因45个，下调基因256个；获得259个铁死亡相关基因；与铁死亡相关的HCC差异表达基因共10个，分别是AKR1C3、HSPB1、MT1G、HAMP、CXCL2、GABARAPL1、NNMT、GPT2、CBS、HBA1；预测得到乳香、合欢花、红参等46味中药。 结论基于生物信息学筛选可能参与铁死亡以干预HCC的中药，为临床用药及基础研究提供了新思路。
Abstract:
ObjectiveTo screen the core genes involved in ferroptosis in hepatocellular carcinoma (HCC) based on bioinformatics, and to predict the potential TCM interventions. MethodsGSE39791 microarray dataset was downloaded from GEO database to screen for differentially expressed genes in HCC, to conduct enrichment analysis of up-regulated and down-regulated genes respectively; ferroptosis related genes were retrieved from FerrDb, and to draw the Venn diagram of HCC differential genes and ferroptosis-related genes, and to obtain the intersecting genes. HCC GSE57957 microarray dataset for HCC was downloaded to validate the differential expression of the intersecting genes; the potential TCM that intervene in intersecting genes was predicted via the Coremine database, and the herbs that may intervene in HCC by regulating ferroptosis were screened out. ResultsThe study identified 301 differentially expressed genes, among them, there were 45 up-regulated genes and 256 down-regulated genes; 259 ferroptosis-related genes were gained; ten HCC differentially expressed genes related to ferroptosis contained AKR1C3, HSPB1, and MT1G, HAMP, CXCL2, GABARAPL1, NNMT, GPT2, CBS and HBA1 respectively; and the study gained 46 herbs covering Ruxiang (Olibanum), Hehuɑnhuɑ(Alibiziae flos), Hongshen (Ginseng radix et rhizoma rubra) and others. ConclusionIdentifying TCM that may intervene in HCC by regulating ferroptosis based on bioinformatics screening produces new thinking for clinical drug use and basic medical research.

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备注/Memo

备注/Memo:
国家自然科学基金（81760844）；广西自然科学基金（2020GXNSFAA297098）；广西中医药大学研究生教育创新计划项目（YCSY2020086）。冯逢（1995—），女，硕士学位，医师。研究方向：中医防治肝病的基础与临床研究。
更新日期/Last Update: 2026-03-15