Development and Validation of Epigenetic Modification-Related Signals for the Diagnosis and Prognosis of Hepatocellular Carcinoma

作者全名："Lu, Maoqing; Qiu, Sheng; Jiang, Xianyao; Wen, Diguang; Zhang, Ronggui; Liu, Zuojin"

作者地址："[Lu, Maoqing; Zhang, Ronggui] Chongqing Med Univ, Dept Endocrinol, Affiliated Hosp 2, Chongqing, Peoples R China; [Qiu, Sheng] Chongqing Med Univ, Dept Urol, Affiliated Hosp 2, Chongqing, Peoples R China; [Jiang, Xianyao] Chongqing Med Univ, Dept Otorhinolaryngol, Affiliated Hosp 1, Chongqing, Peoples R China; [Wen, Diguang; Liu, Zuojin] Chongqing Med Univ, Dept Hepatobiliary Surg, Affiliated Hosp 2, Chongqing, Peoples R China"

通信作者："Liu, ZJ (corresponding author), Chongqing Med Univ, Dept Hepatobiliary Surg, Affiliated Hosp 2, Chongqing, Peoples R China."

来源：FRONTIERS IN ONCOLOGY

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:000669587500001

JCR分区：Q2

影响因子：4.7

年份：2021

卷号：11

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：bioinformatics; hepatocellular carcinoma; epigenetic modification; prognosis; diagnosis; candidate drugs

摘要："Background Increasing evidence has indicated that abnormal epigenetic factors such as RNA m6A modification, histone modification, DNA methylation, RNA binding proteins and transcription factors are correlated with hepatocarcinogenesis. However, it is unknown how epigenetic modification-associated genes contribute to the occurrence and clinical outcome of hepatocellular carcinoma (HCC). Thus, we constructed the epigenetic modification-associated models that may enhance the diagnosis and prognosis of HCC. Methods In this study, we focused on the clinical value of epigenetic modification-associated genes for HCC. Our gene expression data were collected from TCGA and HCC data sets from the GEO database to ensure the reliability of the data. Their functions were analyzed by bioinformatics methods. We used lasso regression, Support vector machine (SVM), logistic regression and Cox regression to construct the diagnostic and prognostic models. We also constructed a nomogram of the practicability of the above-mentioned prognostic model. The above results were verified in an independent liver cancer data set from the ICGC database and clinical samples. Furthermore, we carried out pan-cancer analysis to verify the specificity of the above model and screened a wide range of drug candidates. Results Many epigenetic modification-associated genes were significantly different in HCC and normal liver tissues. The gene signatures showed a good ability to predict the occurrence and survival of HCC patients, as verified by DCA and ROC curve analysis. Conclusion Gene signatures based on epigenetic modification-associated genes can be used to identify the occurrence and prognosis of liver cancer."

基金机构："National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [81170442, 81470899, 81702357, 8207034238]; Chongqing Natural Science FoundationNatural Science Foundation of Chongqing [cstc2020jcyjmsxm0631, cstc2019jcyj-zdxmX0027]"

基金资助正文："This project was supported the National Science Foundation of China (no. 81170442, 81470899, 81702357, 8207034238) and Chongqing Natural Science Foundation (cstc2020jcyjmsxm0631, cstc2019jcyj-zdxmX0027)."