高分辨率解析肺癌：单细胞和空间转录组测序应用的叙述性综述

Deciphering lung cancer at high resolution: a narrative review of applications of single-cell and spatial transcriptomics sequencing.

期刊: Translational Lung Cancer Research
PMID: 42582974
原文: PubMed ↗
发布日期: 2026-08-12

作者

Qian Zheng — Department of Pulmonary and Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Peiji Yao — Department of Pulmonary and Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Qiyu Zhu — Department of Urology, Institute of Urology, West China Hospital of Sichuan University, Chengdu, China.
Jingwei Li — Department of Pulmonary and Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Wenrong Liu — Department of Pulmonary and Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Jiaxuan Wu — Department of Pulmonary and Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Xiaolong Tang — Department of Pulmonary and Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Weiya Wang — Department of Pathology, West China Hospital, Sichuan University, Chengdu, China.
Jiadi Gan — Department of Pulmonary and Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Weimin Li — Department of Pulmonary and Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Chengdi Wang — Department of Pulmonary and Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.

作者单位

Department of Pulmonary and Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Department of Urology, Institute of Urology, West China Hospital of Sichuan University, Chengdu, China.
Department of Pathology, West China Hospital, Sichuan University, Chengdu, China.

摘要

中文

肺癌仍然是全球癌症相关死亡的主要原因。许多患者仍面临有限的治疗获益或治疗耐药。单细胞RNA测序（scRNA-seq）能够高分辨率表征细胞状态，而空间转录组学（ST）保留组织结构并在肿瘤微环境（TME）内定位基因表达。本综述总结了scRNA-seq和ST在肺癌中的最新进展，并讨论了这些技术如何提高我们对肿瘤生物学和治疗反应的理解。在PubMed/MEDLINE中检索了2020年1月至2025年间与肺癌、单细胞测序、单核测序和空间转录组学相关的英文研究。近期研究使用scRNA-seq和ST表征免疫和基质区室、肿瘤细胞异质性、早期癌症演进、转移和治疗相关重塑。这些发现表明肺癌进展不仅受遗传改变影响，还受转录可塑性、空间组织的TME生态位以及肿瘤、免疫和基质细胞之间的动态相互作用影响。scRNA-seq和ST已将肺癌研究从整体肿瘤谱分析转向细胞和空间生态系统分析。然而，许多提出的生物标志物和治疗靶点仍处于探索阶段。在这些发现转化为常规精准医学之前，需要进一步的空间验证、功能实验和临床注释队列。

English

Lung cancer remains the leading cause of cancer-related death worldwide. Many patients are still facing limited treatment benefit or therapeutic resistance. Single-cell RNA sequencing (scRNA-seq) enables high-resolution characterization of cellular states, whereas spatial transcriptomics (ST) preserves tissue architecture and maps gene expression within the tumor microenvironment (TME). This review summarizes recent advances in scRNA-seq and ST in lung cancer and discusses how these technologies have improved our understanding of tumor biology and therapeutic response. A literature search was conducted in PubMed/MEDLINE for English-language studies published between January 2020 and 2025 using terms related to lung cancer, single-cell sequencing, single-nucleus sequencing, and spatial transcriptomics. Recent studies have used scRNA-seq and ST to characterize immune and stromal compartments, tumor cell heterogeneity, early cancer evolution, metastasis, and treatment-associated remodeling. These findings suggest that lung cancer progression is shaped not only by genetic alterations but also by transcriptional plasticity, spatially organized TME niches, and dynamic interactions between tumor, immune, and stromal cells. scRNA-seq and ST have shifted lung cancer research from bulk tumor profiling toward cellular and spatial ecosystem analysis. However, many proposed biomarkers and therapeutic targets remain exploratory. Further spatial validation, functional experiments, and clinically annotated cohorts are needed before these findings can be translated into routine precision medicine.

分类与指标

研究类型: 综述Meta
病种: 肺癌
JCR 分区: Q2
影响因子: 3.4
新锐分区: 3区