Hepatocellular carcinoma: An analysis of the expression status of stress granules and their prognostic value

作者：Qingshuai Ren, Qiu Sun, Shuqin Cheng, Liming Du, Ping‐Xuan Guo · 发表于：World Journal of Gastrointestinal Oncology · 年份：2024 · DOI：10.4251/wjgo.v16.i6.2571 · 被引用次数：5 · 研究领域：Bioinformatics and Genomic Networks、Clusterin in disease pathology、Ferroptosis and cancer prognosis

BACKGROUND Hepatocellular carcinoma (HCC) is a global popular malignant tumor, which is difficult to cure, and the current treatment is limited. AIM To analyze the impacts of stress granule (SG) genes on overall survival (OS), survival time, and prognosis in HCC. METHODS The combined The Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC), GSE25097, and GSE36376 datasets were utilized to obtain genetic and clinical information. Optimal hub gene numbers and corresponding coefficients were determined using the Least absolute shrinkage and selection operator model approach, and genes for constructing risk scores and corresponding correlation coefficients were calculated according to multivariate Cox regression, respectively. The prognostic model’s receiver operating characteristic (ROC) curve was produced and plotted utilizing the time ROC software package. Nomogram models were constructed to predict the outcomes at 1, 3, and 5-year OS prognostications with good prediction accuracy. RESULTS We identified seven SG genes (DDX1 , DKC1 , BICC1 , HNRNPUL1 , CNOT6 , DYRK3 , CCDC124 ) having a prognostic significance and developed a risk score model. The findings of Kaplan-Meier analysis indicated that the group with a high risk exhibited significantly reduced OS in comparison with those of the low-risk group (P < 0.001). The nomogram model’s findings indicate a significant enhancement in the accuracy of OS prediction for individuals with HCC in the TCGA-HCC cohort. Gene ...