BACKGROUND Understanding the status and function of tumor-infiltrating immune cells is essential for improving immunotherapeutic effects and predicting the clinical response in human patients with carcinoma.However,li...BACKGROUND Understanding the status and function of tumor-infiltrating immune cells is essential for improving immunotherapeutic effects and predicting the clinical response in human patients with carcinoma.However,little is known about tumor-infiltrating immune cells,and the corresponding research results in hepatocellular carcinoma(HCC)are limited.AIM To investigate potential biomarker genes that are important for the development of HCC and to understand how immune cell subsets react throughout this process.METHODS Using single-cell RNA sequencing and T-cell receptor sequencing,the heterogeneity and potential functions of immune cell subpopulations from HCC tissue and normal tissue adjacent to carcinoma,as well as their possible interactions,were analyzed.RESULTS Eight T-cell clusters from patients were analyzed and identified using bioinformatics,including six typical major Tcell clusters and two newly identified T-cell clusters,among which Fc epsilon receptor 1G+T cells were characterized by the upregulation of Fc epsilon receptor 1G,tyrosine kinase binding protein,and T cell receptor delta constant,whereas metallothionein 1E+T cells proliferated significantly in tumors.Differentially expressed genes,such as regulator of cell cycle,cysteine and serine rich nuclear protein 1,SMAD7 and metallothionein 1E,were identified as significantly upregulated in tumors and have potential as biomarkers.In association with T-cell receptor analysis,we inferred the clonal expansion characteristics of each T-cell cluster in HCC patients.CONCLUSION We identified lymphocyte subpopulations and potential biomarker genes critical for HCC development and revealed the clonal amplification of infiltrating T cells.These data provide valuable resources for understanding the response of immune cell subsets in HCC.展开更多
基金Supported by the Scientific Research Topic of Jiangsu Provincial Health Care Commission,No.M2021017the High-level Talent Research Project of the Second Hospital of Nanjing,No.0313504the Nanjing Second Hospital Academic Leader Program,No.0313506.
文摘BACKGROUND Understanding the status and function of tumor-infiltrating immune cells is essential for improving immunotherapeutic effects and predicting the clinical response in human patients with carcinoma.However,little is known about tumor-infiltrating immune cells,and the corresponding research results in hepatocellular carcinoma(HCC)are limited.AIM To investigate potential biomarker genes that are important for the development of HCC and to understand how immune cell subsets react throughout this process.METHODS Using single-cell RNA sequencing and T-cell receptor sequencing,the heterogeneity and potential functions of immune cell subpopulations from HCC tissue and normal tissue adjacent to carcinoma,as well as their possible interactions,were analyzed.RESULTS Eight T-cell clusters from patients were analyzed and identified using bioinformatics,including six typical major Tcell clusters and two newly identified T-cell clusters,among which Fc epsilon receptor 1G+T cells were characterized by the upregulation of Fc epsilon receptor 1G,tyrosine kinase binding protein,and T cell receptor delta constant,whereas metallothionein 1E+T cells proliferated significantly in tumors.Differentially expressed genes,such as regulator of cell cycle,cysteine and serine rich nuclear protein 1,SMAD7 and metallothionein 1E,were identified as significantly upregulated in tumors and have potential as biomarkers.In association with T-cell receptor analysis,we inferred the clonal expansion characteristics of each T-cell cluster in HCC patients.CONCLUSION We identified lymphocyte subpopulations and potential biomarker genes critical for HCC development and revealed the clonal amplification of infiltrating T cells.These data provide valuable resources for understanding the response of immune cell subsets in HCC.
