国际肿瘤学杂志 ›› 2022, Vol. 49 ›› Issue (12): 745-748.doi: 10.3760/cma.j.cn371439-20220816-00146

• 综述 • 上一篇    下一篇

单细胞RNA测序技术在食管鳞状细胞癌辅助诊疗中的应用

向光宇1, 李家贺1, 季刚2, 郭欣2, 卢强3()   

  1. 1空军军医大学基础医学院,西安 710032
    2空军军医大学西京医院消化外科,西安 710032
    3空军军医大学唐都医院胸外科,西安 710038
  • 收稿日期:2022-08-16 修回日期:2022-09-26 出版日期:2022-12-08 发布日期:2023-01-05
  • 通讯作者: 卢强 E-mail:luqiang@fmmu.edu.cn

Application of single-cell RNA-seq technology in the auxiliary diagnosis and treatment of esophageal squamous cell carcinoma

Xiang Guangyu1, Li Jiahe1, Ji Gang2, Guo Xin2, Lu Qiang3()   

  1. 1Basic Medical College, Air Force Medical University, Xi'an 710032, China
    2Department of Digestive Surgery, Xi Jing Hospital, Air Force Military Medical University, Xi'an 710032, China
    3Department of Thoracic Surgery, Tang Du Hospital, Air Force Military Medical University, Xi'an 710038, China
  • Received:2022-08-16 Revised:2022-09-26 Online:2022-12-08 Published:2023-01-05
  • Contact: Lu Qiang E-mail:luqiang@fmmu.edu.cn

摘要:

单细胞RNA测序(scRNA-seq)技术可以描述单个肿瘤细胞中基因表达的变化,揭示肿瘤细胞的状态和功能,捕捉细胞群中广泛的转录组异质性。利用scRNA-seq可监测食管鳞状细胞癌(ESCC)体内特异性高表达的基因和肿瘤细胞中具有某些放、化疗抗性相关的基因,有助于为ESCC提供更精准的辅助诊断依据,评估患者的复发风险和生存时间。深入地研究ESCC中肿瘤细胞与肿瘤微环境间的关系,将为开发出新的ESCC免疫治疗方案提供理论基础。

关键词: 食管肿瘤, 肿瘤,鳞状细胞, 序列分析,RNA

Abstract:

Single-cell RNA-seq (scRNA-seq) can describe the changes of gene expression in a single tumor cell. And it can reveal the status and function of tumor cells, and capture the extensive transcriptome heterogeneity in the cell population. The application of scRNA-seq can monitor the specific highly expressed genes in esophageal squamous cell carcinoma (ESCC), and it can also monitor genes related to radio chemotherapy resistance in tumor cells, which is helpful to provide more accurate auxiliary diagnosis for ESCC. Besides, scRNA-seq can evaluate the recurrence risk and survival time of patients. An in-depth study of the relationship between tumor cells and tumor microenvironment in ESCC will provide a theoretical basis for developing a new immunotherapy scheme for ESCC.

Key words: Esophageal neoplasms, Neoplasms, squamous cell, Sequence analysis, RNA