Construction and evaluation of a prognostic model of autophagy-related genes in hepatocellular carcinoma
Year: 2024
Type: article
Abstract: Hepatocellular carcinoma (HCC) is a globally prevalent disease. Our article evaluates risk models based on autophagy- and HCC-related genes and their prognostic value by bioinformatics analytical methods to provide a scientific basis for clinical treatment. Prognostic genes were identified by univariate and multivariate Cox analyses, and risk scores were calculated. The value of risk models was analysed by receiver operating characteristic curve (ROC), immune microenvironment and drug sensitivity. Prognostic gene-related regulatory mechanisms based on network database. We screened four prognosis-related genes (SQSTM1, GABARAPL1, CDKN2A, HSPB8) for model construction. The AUC for 1-, 2- and 3-year survival was higher than 0.6 in both the training and validation sets. The nomogram constructed based on risk scores, pathologic_T predicted the outcome better. There were differences in the tumour microenvironment between the high and low risk groups, as evidenced by differences in the distribution of immune cells and differences in the expression of immune checkpoints. Our results illustrate that models, nomograms and risk scores were valuable for tumour progression. Not applicable. The analysis process is shown in the above figure, the value of prognostic genes was assessed by constructing a risk model after screening candidate genes, and then the characteristics of these genes were analysed. Finally, SQSTM1, GABARAPL1, CDKN2A, and HSPB8 were screened as prognostic genes related to autophagy in hepatocellular carcinoma. • A total of 4 modelled genes were obtained by risk score (SQSTM1, GABARAPL1, CDKN2A, HSPB8). • Risk scores correlate with Grade, pathologic_T, and Stage. • Risk score correlated highest with activated CD4 T cells, natural killer T cells, activated dendritic cells. • Sabutoclax is a promising drug component. • 61 TFs, 56 miRNAs, and 65 lncRNAs associated with them were obtained.
Authors: Yutao He, Bin Du, Weiran Liao, Wei Wang, Jifeng Su, Chen Guo, Kai Zhang, Zhitian Shi
Language: English
Subfield: Hepatology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,540
OpenAlex ID: W4405308954
