Abstract
The immune microenvironment of liver cancer is of great significance for the treatment of liver cancer. After evaluating the content of mast cells resting in the transcriptome data of The Cancer Genome Atlas database by CIBERSORT analysis, this study aimed to group the samples according to the content of mast cells resting in different samples to find the differentially expressed genes in the two groups. Significant prognostic differences were found between high and low mast cells resting infiltration groups. The prognostic model was constructed according to the differentially expressed genes. The model was validated using external independent datasets. The results revealed that the constructed model was reliable. It could well distinguish the prognostic differences of patients in different characteristic groups. The high-risk group was mainly concentrated in metabolic pathways. The risk score of this model was closely related to some immune cells, immune function, and immune checkpoints. Therefore, this model may provide new ideas for immunotherapy of hepatocellular carcinoma.
Highlights
Hepatocellular carcinoma (HCC) is highly malignant liver cancer and a major health problem worldwide
Construction and Validation of the Model. e genes used to construct the model were screened by the “limma” package in R software (4.0.0). e Cox hazard analysis and Lasso regression were used to analyze the genes combined with the prognosis of patients with “survival”, “glmnet”, and “survminer” packages. e survival curve and the receiver operating characteristic curve (ROC) were drawn using the “survivalROC” and “survival” packages
Liver cancer has been widely studied by clinicians and researchers because of its relatively high incidence rate and poor prognosis
Summary
Hepatocellular carcinoma (HCC) is highly malignant liver cancer and a major health problem worldwide. Its prognosis is poor because of its highly metastatic and recurring nature. Improvement in the prognosis of liver cancer has become the goal of many researchers. In the past few years, drug-centered treatment has dominated, but the resistance of liver cancer to drugs has forced researchers to find other treatments. Recent studies found that the tumor microenvironment in patient tissues played an important role in supporting tumor cells. The immune microenvironment of liver cancer has been widely studied because of its complexity and particularity. Mast cells resting is important in treating cancer because mast cells have a unique developmental, phenotypic, and functional plasticity. Ey participate in tissue homeostasis by constantly sampling the microenvironment [2].
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