[Research Progress of Single Cell Sequencing in Lung Cancer]

Zhongguo Fei Ai Za Zhi. 2021 Apr 20;24(4):279-283. doi: 10.3779/j.issn.1009-3419.2021.102.04.
[Article in Chinese]

Abstract

Lung cancer is the malignant tumor with the highest mortality rate in the world. Heterogeneity of lung cancer, usually studied by sequencing technology, is considered to have important clinical significance in current studies. However, general sequencing technology can only explain the differences between samples integrally and its resolution is not enough to describe the differences between the individual cells. Therefore, people urgently hope to understand the cell type, state, subgroup distribution in the tumor microenvironment and the communication behavior between cells in the single cell level. Single-cell sequencing technology solves this problem. Using this technique will contribute to further understanding the mechanism of the occurrence and development of lung cancer, discovering new diagnostic markers and therapeutic targets, and providing theoretical references for the precise treatment of lung cancer patients in the future. This article reviews the progress of single-cell sequencing technology and focuses on its research on lung cancer tumor heterogeneity, tumor microenvironment, invasion and metastasis, treatment response, and drug resistance. .

【中文题目:单细胞测序在肺癌中的研究进展】 【中文摘要:肺癌是世界上死亡率最高的恶性肿瘤,肿瘤内部存在着明显的异质性,目前研究认为这种异质性在肺癌研究中有重要的临床意义。对于这种异质性的研究通常使用测序技术,而一般测序技术只能从整体的角度解释样本之间的差异,其分辨率不足以描绘单个细胞之间的差异。因此人们迫切希望从单细胞层面来获得肿瘤微环境中的细胞类型、状态和亚群分布以及细胞之间的通讯行为等信息。单细胞测序技术解决了这一难题。利用该技术将有助于深入了解肺癌的发生和发展机制,并发现新的诊断标记物和治疗靶点,为今后肺癌患者的精准治疗提供理论参考。本文介绍了单细胞测序技术的发展,并重点讨论了其在肺癌肿瘤异质性、肺癌肿瘤微环境、肺癌侵袭和转移以及治疗反应和耐药等方面的研究。 】 【中文关键词:单细胞测序;肺肿瘤;肿瘤异质性;肿瘤微环境;精准治疗】.

Keywords: Lung neoplasms; Precision treatment; Single-cell sequencing; Tumor heterogeneity; Tumor microenvironment.

Publication types

  • Review

MeSH terms

  • Animals
  • Cell Competition
  • Humans
  • Lung Neoplasms / drug therapy
  • Lung Neoplasms / genetics
  • Lung Neoplasms / metabolism
  • Lung Neoplasms / physiopathology*
  • Single-Cell Analysis / trends*
  • Tumor Microenvironment