Comprehensive Analysis of the Immunosuppressive Function of Regulatory T Cells in Human Hepatocellular Carcinoma Tissues

Author:

Ge Junwei123ORCID,Chen Junjun123,Shen Qiong123,Zheng Xiao123,Chen Xuemin4,Shi Liangrong5,Chen Lujun123,Xu Bin123

Affiliation:

1. Department of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University, Changzhou, China

2. Jiangsu Engineering Research Center for Tumor Immunotherapy, The Third Affiliated Hospital of Soochow University, Changzhou, China

3. Institute of Cell Therapy, The Third Affiliated Hospital of Soochow University, Changzhou, China

4. Radiological Intervention Center, Department of Hepatobiliary Surgery, The Third Affiliated Hospital of Soochow University, Changzhou, China

5. Radiological Intervention Center, Department of Radiology, Xiangya Hospital, Central South University, Changsha, China

Abstract

Background Immune-based therapies are commonly employed to combat hepatocellular carcinoma (HCC). However, the presence of immune-regulating elements, especially regulatory T cells (Tregs), can dramatically impact the treatment efficacy. A deeper examination of the immune-regulation mechanisms linked to these inhibitory factors and their impact on HCC patient outcomes is warranted. Methods We employed multicolor fluorescence immunohistochemistry (mIHC) to stain Foxp3, cytokeratin, and nuclei on an HCC tissue microarray (TMA). Leveraging liver cancer transcriptome data from TCGA, we built a prognostic model focused on Treg-associated gene sets and represented it with a nomogram. We then sourced liver cancer single-cell RNA sequencing data (GSE140228) from the GEO database, selectively focusing on Treg subsets, and conducted further analyses, including cell-to-cell communication and pseudo-time trajectory examination. Results Our mIHC results revealed a more substantial presence of Foxp3+Tregs in HCC samples than in adjacent normal tissue samples ( P < .001). An increased presence of Foxp3+Tregs in HCC samples correlated with unfavorable patient outcomes ( HR = 1.722, 95% CI:1.023-2.899, P = .041). The multi-factorial prognosis model we built from TCGA liver cancer data highlighted Tregs as a standalone risk determinant for predicting outcomes ( HR = 3.84, 95% CI:2.52-5.83, P < .001). Re-analyzing the scRNA-seq dataset (GSE140228) showcased distinctive gene expression patterns in Tregs from varying tissues. Interactions between Tregs and other CD4+T cell types were predominantly governed by the CXCL13/CXCR3 signaling pathway. Communication pathways between Tregs and macrophages primarily involved MIF-CD74/CXCR4, LGALS9/CD45, and PTPRC/MRC1. Additionally, macrophages could influence Tregs via HLA-class II and CD4 interactions. Conclusion An elevated presence of Tregs in HCC samples correlated with negative patient outcomes. Elucidating the interplay between Tregs and other immune cells in HCC could provide insights into the modulatory role of Tregs within HCC tissues.

Funder

High-Level Talents Project of Jiangsu Commission of Health

China Postdoctoral Science Foundation

Changzhou International Cooperation Project

the Applied Basic Research Foundation of Changzhou

the Key R&D Project of Jiangsu Province

the National Natural Science Foundation of China

Publisher

SAGE Publications

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