biostudies-literatureXu YJKey Technologies Research and Development ProgramNational Major Science and Technology Projects of ChinaNational Natural Science Foundation of ChinaGuangdong Key Laboratory of Innovation Method and Decision Management System610https://www.ebi.ac.uk/biostudies/studies/S-EPMC8600893biostudies-literatureUnknown21(1)<h4>Background</h4>The accumulation of single nucleotide variants (SNVs) and the emergence of neoantigens can affect tumour proliferation and the immune microenvironment. However, the SNV-related immune microenvironment characteristics and key genes involved in hepatocellular carcinoma (HCC) are still unclear. We aimed to evaluate differences in the SNV-related immune microenvironment, construct a prognostic model and validate the key genes in vitro.<h4>Methods</h4>The categories of samples were defined by the expression of SNV score-related genes to evaluate the differences in mutational features, immune environment and prognosis. The survival model was constructed with survival-associated genes and verified in two independent test datasets. RCAN2, the key gene screened out for biofunctioCancer cell internationalConstruction of a single nucleotide variant score-related gene-based prognostic model in hepatocellular carcinoma: analysis of multi-independent databases and validation in vitro.PMC86008932019B110233002No. 816250172017YFA0505803No. 820726102018ZX10302205Shi MHe MKKan AXu YJBu XYLiu SHuang LCfalseConstruction of a single nucleotide variant score-related gene-based prognostic model in hepatocellular carcinoma: analysis of multi-independent databases and validation in vitro.<h4>Background</h4>The accumulation of single nucleotide variants (SNVs) and the emergence of neoantigens can affect tumour proliferation and the immune microenvironment. However, the SNV-related immune microenvironment characteristics and key genes involved in hepatocellular carcinoma (HCC) are still unclear. We aimed to evaluate differences in the SNV-related immune microenvironment, construct a prognostic model and validate the key genes in vitro.<h4>Methods</h4>The categories of samples were defined by the expression of SNV score-related genes to evaluate the differences in mutational features, immune environment and prognosis. The survival model was constructed with survival-associated genes and verified in two independent test datasets. RCAN2, the key gene screened out for biofunctio2021-01-01T00:00:00Z2021 Nov2026-05-08T12:07:18.938Z2022-02-11T13:03:45.208ZS-EPMC86008933479444910.1186/s12935-021-02321-z