Identification of a novel histone phosphorylation prognostic signature in hepatocellular carcinoma based on bulk and single-cell RNA sequencing

• DOI: 10.3389/fendo.2022.965445
• Publication Date: 2022-08-31T05:26:12Z
• Authors: Lei Fan; Ling Xu; Shan Tian; Xin Zheng
• Keywords: Nomogram

Background Hepatocellular carcinoma (HCC) is the third leading cause of death in world, characterized by high morbidity, poor prognosis and mortality. Histone modifications regulate intracellular gene expression at post-transcriptional level, disturbances regulatory pattern histone individual locus or across genome can lead to tumorigenesis HCC. In this study, we constructed a prognosis-related phosphorylation regulated (HPR) genes signature elucidated whether HPR predict overall survival HCC patients. Methods Differentially expressed were screened using TCGA, ICGC GEO databases, new risk was univariate Cox regression Lasso analysis. Predictive nomograms established multivariate scores clinical parameters, calibration curve decision analysis used evaluate models. The ssGSEA methods determine effect on tumor immune microenvironment. Data for single-cell RNA sequencing (scRNA-seq) have been downloaded from Gene Expression Omnibus (GEO) understand role tumorigenesis. Results Our analyses nine provided prognostic insights. Overall low-risk high-risk groups statistically higher, respectively (P<0.001). revealed that score significant predictor outcomes (HR=2. 2.62, 95%CI: 1.248-5.514, P=0.011). addition, nomogram combining with TNM stages tested curves (AUC=0.780). MHC-class-I genes, iDCs, Macrophages, Tfh, Treg, Th2 overexpressed group. Conclusion closely related HCC, process cell progression.