A New Prediction Model Of Hepatocellular Carcinoma Based On N7-methylguanosine Modification

Purpose: Hepatocellular carcinoma(HCC)is a kind of primary liver cancer.It is a common malignant tumor of digestive system that is difficult to predict the prognosis of patients.As an important epigenetic modification,M7 G is indispensable in gene regulation.This regulation may affect the development and occurrence of cancer.However,the prognosis of lnc RNAs in HCC is limited,especially how M7G-related lnc RNAs regulate the development of HCC has not been reported.Methods: The Cancer Genome Atlas provides us with the expression data and corresponding clinical information of HCC patients we need.We used a series of statistical methods to screen four kinds of M7G-related lnc RNAs related to HCC prognosis and through a series of verifications,the results were in line with our expectations.Finally,we also explored the IC50 difference and correlation analysis of various common chemotherapy drugs.Result: Our study identified four differentially expressed M7g-related lnc RNAs associated with HCC prognosis.Survival curve analysis showed that high risk lnc RNAs would lead to poor prognosis of HCC patients.M7 G signature’s AUC was 0.789,which shows that the prognosis model we studied has certain significance in predicting the prognosis of HCC patients.Moreover,our study found that different risk groups have different immune and tumor related pathways through gene set enrichment analysis.In addition,many immune cell functions are significantly different among different risk groups,such as T cell functions,including coordination of type I INF response and coordination of type II INF response.The expression of PDCD1,HHLA2,CTLA-4 and many other immune checkpoints in different risk groups is also different.Additionally,we analyzed the differences of IC50 and risk correlation of 24 chemotherapeutic drugs among different risk groups.Conclusion: 1.This study constructs a prognostic risk model consisting of four M7G-related lnc RNAs through bioinformatics analysis,which has a strong predictive effect on the prognosis of patients with hepatocellular carcinoma.2.The prognostic risk model still has good practicability under different clinical and pathological characteristics.3.This study can provide a certain basis for the formulation of individualized diagnosis and treatment plan for patients with hepatocellular carcinoma,and is also conducive to further analysis of the mechanism of the occurrence and development of hepatocellular carcinoma.