Prognostic stratification based on m5C regulators acts as a novel biomarker for immunotherapy in hepatocellular carcinoma

BackgroundImmunotherapy is a promising anti-cancer strategy in hepatocellular carcinoma (HCC). However, a limited number of patients can benefit from it. There are currently no reliable biomarkers available to find the potential beneficiaries. Methylcytosine (m(5)C) is crucial in HCC, but its role in forecasting clinical responses to immunotherapy has not been fully clarified. MethodsIn this study, we analyzed 371 HCC patients from The Cancer Genome Atlas (TCGA) database and investigated the expression of 18 m(5)C regulators. We selected 6 differentially expressed genes (DEGs) to construct a prognostic risk model as well as 2 m(5)C-related diagnostic models. ResultsThe 1-, 3-, and 5-year area under the curve (AUC) of m(5)C scores for the overall survival (OS) was 0.781/0.762/0.711, indicating the m(5)C score system had an ideal distinction of prognostic prediction for HCC. The survival analysis showed that patients with high-risk scores present a worse prognosis than the patients with low-risk scores (p< 0.0001). We got consistent results in 6 public cohorts and validated them in Xiangya real-world cohort by quantitative real-time PCR and immunohistochemical (IHC) assays. The high-m(5)C score group was predicted to be in an immune evasion state and showed low sensitivity to immunotherapy, but high sensitivity to chemotherapy and potential targeted drugs and agents, such as sepantronium bromide (YM-155), axitinib, vinblastine and docetaxel. Meanwhile, we also constructed two diagnostic models to distinguish HCC tumors from normal liver tissues or liver cirrhosis. ConclusionIn conclusion, our study helps to early screen HCC patients and select patients who can benefit from immunotherapy. Step forwardly, for the less likely beneficiaries, this study provides them with new potential targeted drugs and agents for choice to improve their prognosis.

Automated summary

Immunotherapy is a promising anti-cancer strategy in hepatocellular carcinoma (HCC), but there are limited biomarkers for patient selection. The role of methylcytosine (m(5)C) in predicting clinical responses to immunotherapy in HCC has not been fully understood. In this study, we identified a prognostic risk model and two diagnostic models based on m(5)C regulators, which showed promising results in predicting patient outcomes and distinguishing HCC tumors from normal liver tissues.