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Liver cancer from the perspective of single-cell sequencing: a review combined with bibliometric analysis.
Ji, Yanwei; An, Qi; Wen, Xinyu; Xu, Zhou; Xia, Zhengyuan; Xia, Zhongyuan; Hu, Qinyong; Lei, Shaoqing.
Affiliation
  • Ji Y; Department of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, China.
  • An Q; Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.
  • Wen X; Department of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, China.
  • Xu Z; The Second Clinical Medical College, Jiangxi Medical College, Nanchang University, Jiangxi, Nanchang, China.
  • Xia Z; Department of Anesthesiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
  • Xia Z; Faculty of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, Macao, China.
  • Hu Q; Department of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, China.
  • Lei S; Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China. rm001223@whu.edu.cn.
J Cancer Res Clin Oncol ; 150(6): 316, 2024 Jun 24.
Article in En | MEDLINE | ID: mdl-38910204
ABSTRACT

BACKGROUND:

Liver cancer (LC) is a prevalent malignancy and a leading cause of cancer-related mortality worldwide. Extensive research has been conducted to enhance patient outcomes and develop effective prevention strategies, ranging from molecular mechanisms to clinical interventions. Single-cell sequencing, as a novel bioanalysis technology, has significantly contributed to the understanding of the global cognition and dynamic changes in liver cancer. However, there is a lack of bibliometric analysis in this specific research area. Therefore, the objective of this study is to provide a comprehensive overview of the knowledge structure and research hotspots in the field of single-cell sequencing in liver cancer research through the use of bibliometrics.

METHOD:

Publications related to the application of single-cell sequencing technology to liver cancer research as of December 31, 2023, were searched on the web of science core collection (WoSCC) database. VOSviewers, CiteSpace, and R package "bibliometrix" were used to conduct this bibliometric analysis.

RESULTS:

A total of 331 publications from 34 countries, primarily led by China and the United States, were included in this study. The research focuses on the application of single cell sequencing technology to liver cancer, and the number of related publications has been increasing year by year. The main research institutions involved in this field are Fudan University, Sun Yat-Sen University, and the Chinese Academy of Sciences. Frontiers in Immunology and Nature Communications is the most popular journal in this field, while Cell is the most frequently co-cited journal. These publications are authored by 2799 individuals, with Fan Jia and Zhou Jian having the most published papers, and Llovet Jm being the most frequently co-cited author. The use of single cell sequencing to explore the immune microenvironment of liver cancer, as well as its implications in immunotherapy and chemotherapy, remains the central focus of this field. The emerging research hotspots are characterized by keywords such as 'Gene-Expression', 'Prognosis', 'Tumor Heterogeneity', 'Immunoregulation', and 'Tumor Immune Microenvironment'.

CONCLUSION:

This is the first bibliometric study that comprehensively summarizes the research trends and developments on the application of single cell sequencing in liver cancer. The study identifies recent research frontiers and hot directions, providing a valuable reference for researchers exploring the landscape of liver cancer, understanding the composition of the immune microenvironment, and utilizing single-cell sequencing technology to guide and enhance the prognosis of liver cancer patients.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bibliometrics / Single-Cell Analysis / Liver Neoplasms Limits: Humans Language: En Journal: J Cancer Res Clin Oncol Year: 2024 Document type: Article Affiliation country: China Country of publication: Alemania

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bibliometrics / Single-Cell Analysis / Liver Neoplasms Limits: Humans Language: En Journal: J Cancer Res Clin Oncol Year: 2024 Document type: Article Affiliation country: China Country of publication: Alemania