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Single-cell RNA sequencing revealed potential targets for immunotherapy studies in hepatocellular carcinoma
Hepatocellular carcinoma (HCC) is a solid tumor prone to chemotherapy resistance, and combined immunotherapy is expected to bring a breakthrough in HCC treatment. However, the tumor and tumor microenvironment (TME) of HCC is highly complex and heterogeneous, and there are still many unknowns regardi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620237/ https://www.ncbi.nlm.nih.gov/pubmed/37914817 http://dx.doi.org/10.1038/s41598-023-46132-w |
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author | Xie, Zhouhua Huang, Jinping Li, Yanjun Zhu, Qingdong Huang, Xianzhen Chen, Jieling Wei, Cailing Luo, Shunda Yang, Shixiong Gao, Jiamin |
author_facet | Xie, Zhouhua Huang, Jinping Li, Yanjun Zhu, Qingdong Huang, Xianzhen Chen, Jieling Wei, Cailing Luo, Shunda Yang, Shixiong Gao, Jiamin |
author_sort | Xie, Zhouhua |
collection | PubMed |
description | Hepatocellular carcinoma (HCC) is a solid tumor prone to chemotherapy resistance, and combined immunotherapy is expected to bring a breakthrough in HCC treatment. However, the tumor and tumor microenvironment (TME) of HCC is highly complex and heterogeneous, and there are still many unknowns regarding tumor cell stemness and metabolic reprogramming in HCC. In this study, we combined single-cell RNA sequencing data from 27 HCC tumor tissues and 4 adjacent non-tumor tissues, and bulk RNA sequencing data from 374 of the Cancer Genome Atlas (TCGA)-liver hepatocellular carcinoma (LIHC) samples to construct a global single-cell landscape atlas of HCC. We analyzed the enrichment of signaling pathways of different cells in HCC, and identified the developmental trajectories of cell subpopulations in the TME using pseudotime analysis. Subsequently, we performed transcription factors regulating different subpopulations and gene regulatory network analysis, respectively. In addition, we estimated the stemness index of tumor cells and analyzed the intercellular communication between tumors and key TME cell clusters. We identified novel HCC cell clusters that specifically express HP (HCC_HP), which may lead to higher tumor differentiation and tumor heterogeneity. In addition, we found that the HP gene expression-positive neutrophil cluster (Neu_AIF1) had extensive and strong intercellular communication with HCC cells, tumor endothelial cells (TEC) and cancer-associated fibroblasts (CAF), suggesting that clearance of this new cluster may inhibit HCC progression. Furthermore, ErbB signaling pathway and GnRH signaling pathway were found to be upregulated in almost all HCC tumor-associated stromal cells and immune cells, except NKT cells. Moreover, the high intercellular communication between HCC and HSPA1-positive TME cells suggests that the immune microenvironment may be reprogrammed. In summary, our present study depicted the single-cell landscape heterogeneity of human HCC, identified new cell clusters in tumor cells and neutrophils with potential implications for immunotherapy research, discovered complex intercellular communication between tumor cells and TME cells. |
format | Online Article Text |
id | pubmed-10620237 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106202372023-11-03 Single-cell RNA sequencing revealed potential targets for immunotherapy studies in hepatocellular carcinoma Xie, Zhouhua Huang, Jinping Li, Yanjun Zhu, Qingdong Huang, Xianzhen Chen, Jieling Wei, Cailing Luo, Shunda Yang, Shixiong Gao, Jiamin Sci Rep Article Hepatocellular carcinoma (HCC) is a solid tumor prone to chemotherapy resistance, and combined immunotherapy is expected to bring a breakthrough in HCC treatment. However, the tumor and tumor microenvironment (TME) of HCC is highly complex and heterogeneous, and there are still many unknowns regarding tumor cell stemness and metabolic reprogramming in HCC. In this study, we combined single-cell RNA sequencing data from 27 HCC tumor tissues and 4 adjacent non-tumor tissues, and bulk RNA sequencing data from 374 of the Cancer Genome Atlas (TCGA)-liver hepatocellular carcinoma (LIHC) samples to construct a global single-cell landscape atlas of HCC. We analyzed the enrichment of signaling pathways of different cells in HCC, and identified the developmental trajectories of cell subpopulations in the TME using pseudotime analysis. Subsequently, we performed transcription factors regulating different subpopulations and gene regulatory network analysis, respectively. In addition, we estimated the stemness index of tumor cells and analyzed the intercellular communication between tumors and key TME cell clusters. We identified novel HCC cell clusters that specifically express HP (HCC_HP), which may lead to higher tumor differentiation and tumor heterogeneity. In addition, we found that the HP gene expression-positive neutrophil cluster (Neu_AIF1) had extensive and strong intercellular communication with HCC cells, tumor endothelial cells (TEC) and cancer-associated fibroblasts (CAF), suggesting that clearance of this new cluster may inhibit HCC progression. Furthermore, ErbB signaling pathway and GnRH signaling pathway were found to be upregulated in almost all HCC tumor-associated stromal cells and immune cells, except NKT cells. Moreover, the high intercellular communication between HCC and HSPA1-positive TME cells suggests that the immune microenvironment may be reprogrammed. In summary, our present study depicted the single-cell landscape heterogeneity of human HCC, identified new cell clusters in tumor cells and neutrophils with potential implications for immunotherapy research, discovered complex intercellular communication between tumor cells and TME cells. Nature Publishing Group UK 2023-11-01 /pmc/articles/PMC10620237/ /pubmed/37914817 http://dx.doi.org/10.1038/s41598-023-46132-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Xie, Zhouhua Huang, Jinping Li, Yanjun Zhu, Qingdong Huang, Xianzhen Chen, Jieling Wei, Cailing Luo, Shunda Yang, Shixiong Gao, Jiamin Single-cell RNA sequencing revealed potential targets for immunotherapy studies in hepatocellular carcinoma |
title | Single-cell RNA sequencing revealed potential targets for immunotherapy studies in hepatocellular carcinoma |
title_full | Single-cell RNA sequencing revealed potential targets for immunotherapy studies in hepatocellular carcinoma |
title_fullStr | Single-cell RNA sequencing revealed potential targets for immunotherapy studies in hepatocellular carcinoma |
title_full_unstemmed | Single-cell RNA sequencing revealed potential targets for immunotherapy studies in hepatocellular carcinoma |
title_short | Single-cell RNA sequencing revealed potential targets for immunotherapy studies in hepatocellular carcinoma |
title_sort | single-cell rna sequencing revealed potential targets for immunotherapy studies in hepatocellular carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620237/ https://www.ncbi.nlm.nih.gov/pubmed/37914817 http://dx.doi.org/10.1038/s41598-023-46132-w |
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