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Single-cell RNA-seq reveals transcriptional landscape and intratumor heterogenicity in gallbladder cancer liver metastasis microenvironment.
Zhang, Yigang; You, Wen-Hua; Li, Xiangyu; Wang, Peng; Sha, Bowen; Liang, Yuan; Qiu, Jiannan; Zhou, Jinren; Hu, Haoran; Lu, Ling.
Afiliação
  • Zhang Y; Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital, The First Affiliated Hospital of Nanjing Medical University, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical Sciences, NHC Key Laboratory
  • You WH; Jiangsu Key Lab of Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, China.
  • Li X; Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital, The First Affiliated Hospital of Nanjing Medical University, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical Sciences, NHC Key Laboratory
  • Wang P; Jiangsu Key Lab of Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, China.
  • Sha B; School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
  • Liang Y; Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital, The First Affiliated Hospital of Nanjing Medical University, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical Sciences, NHC Key Laboratory
  • Qiu J; Jiangsu Key Lab of Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, China.
  • Zhou J; Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital, The First Affiliated Hospital of Nanjing Medical University, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical Sciences, NHC Key Laboratory
  • Hu H; Jiangsu Key Lab of Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, China.
  • Lu L; Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital, The First Affiliated Hospital of Nanjing Medical University, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical Sciences, NHC Key Laboratory
Ann Transl Med ; 9(10): 889, 2021 May.
Article em En | MEDLINE | ID: mdl-34164523
BACKGROUND: Gallbladder cancer (GBC) is a highly aggressive biliary epithelial malignancy. The median survival time of GBC patients was less than 1 year. Tumor invasion and metastasis are the major cause of high mortality of GBC patients. However, the molecular mechanisms involved in GBC metastases are still unclear. METHODS: We performed 10X genomics single-cell RNA sequencing (scRNA-seq) on GBC liver metastasis tissue to evaluate the characteristics of the GBC liver metastasis microenvironment. RESULTS: In this study, 8 cell types, a total of 7,788 cells, including T cells, B cells, malignant cells, fibroblasts, endothelial cells, macrophages, dendritic cells (DCs), and mast cells were identified. Malignant cells displayed a high degree of intratumor heterogenicity, while neutrophils were found to promote GBC cell proliferation, migration, and invasion. Furthermore, cytotoxic cluster of differentiation (CD8+) T cells became exhausted and CD4+ regulatory T cells (Tregs) exhibited immunosuppressive characteristics. Macrophages played an important role in the tumor microenvironment (TME). We identified three distinct macrophage subsets and emergent M2 polarization. We also found that cancer-associated fibroblasts exhibited heterogeneity and may be associated with GBC metastasis. CONCLUSIONS: Although preliminary in nature, our study provides a landscape view at the single-cell level. These results offer a unique perspective into understanding the liver metastasis of GBC.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article