癌症治疗中的空间多组学革命：精准医学的新定义。
The spatial multi-omics revolution in cancer therapy: Precision redefined.
机构信息
Shanghai Institute of Immunology, State Key Laboratory of Oncogenes and Related Genes, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Shanghai Institute of Immunology, State Key Laboratory of Oncogenes and Related Genes, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
出版信息
Cell Rep Med. 2024 Sep 17;5(9):101740. doi: 10.1016/j.xcrm.2024.101740.
Abstract
Spatially resolved multi-omics revolutionizes cancer therapy by decoding the cellular and molecular heterogeneity of the tumor microenvironment through spatial coordinates. This commentary discusses the roles of spatial multi-omics in identifying precise therapeutic targets and predicting treatment responses while also highlighting the challenges that impede its integration into precision medicine.
摘要
空间解析多组学通过空间坐标解码肿瘤微环境的细胞和分子异质性，从而彻底改变癌症治疗。本文讨论了空间多组学在识别精确治疗靶点和预测治疗反应方面的作用，同时强调了阻碍其纳入精准医学的挑战。
相似文献
1
The spatial multi-omics revolution in cancer therapy: Precision redefined.癌症治疗中的空间多组学革命：精准医学的新定义。
Cell Rep Med. 2024 Sep 17;5(9):101740. doi: 10.1016/j.xcrm.2024.101740.
2
Advances in spatial multi-omics in tumors.肿瘤空间多组学研究进展。
Tumori. 2024 Oct;110(5):327-339. doi: 10.1177/03008916241271458. Epub 2024 Aug 26.
3
A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology.多组学数据整合的机器学习技术综合综述：精准肿瘤学中的挑战与应用
Brief Funct Genomics. 2024 Sep 27;23(5):549-560. doi: 10.1093/bfgp/elae013.
4
Towards artificial intelligence to multi-omics characterization of tumor heterogeneity in esophageal cancer.迈向用于食管癌肿瘤异质性多组学表征的人工智能
Semin Cancer Biol. 2023 Jun;91:35-49. doi: 10.1016/j.semcancer.2023.02.009. Epub 2023 Mar 1.
5
Precision medicine in colorectal cancer: Leveraging multi-omics, spatial omics, and artificial intelligence.结直肠癌的精准医学：利用多组学、空间组学和人工智能
Clin Chim Acta. 2024 Jun 1;559:119686. doi: 10.1016/j.cca.2024.119686. Epub 2024 Apr 23.
6
Integration of pan-omics technologies and three-dimensional in vitro tumor models: an approach toward drug discovery and precision medicine.泛组学技术与三维体外肿瘤模型的整合：一种药物发现和精准医学的方法。
Mol Cancer. 2024 Mar 9;23(1):50. doi: 10.1186/s12943-023-01916-6.
7
Spatial multi-omics: deciphering technological landscape of integration of multi-omics and its applications.空间多组学：解析多组学整合及其应用的技术格局。
J Hematol Oncol. 2024 Aug 24;17(1):72. doi: 10.1186/s13045-024-01596-9.
8
Application of spatial omics in gastric cancer.空间组学在胃癌中的应用。
Pathol Res Pract. 2024 Oct;262:155503. doi: 10.1016/j.prp.2024.155503. Epub 2024 Jul 30.
9
The Need for Multi-Omics Biomarker Signatures in Precision Medicine.精准医学中多组学生物标志物特征的必要性。
Int J Mol Sci. 2019 Sep 26;20(19):4781. doi: 10.3390/ijms20194781.
10
Preface on application of omics technologies in cancer biology and therapy.组学技术在癌症生物学与治疗中的应用前言
Cancer Lett. 2016 Nov 1;382(1):A1. doi: 10.1016/j.canlet.2016.10.001.
引用本文的文献
1
Decoding immunometabolism with next-generation tools: lessons from dendritic cells and T cells.使用新一代工具解码免疫代谢：来自树突状细胞和T细胞的经验教训。
EMBO J. 2025 Sep 16. doi: 10.1038/s44318-025-00569-z.
2
Multimodal integration strategies for clinical application in oncology.肿瘤学临床应用中的多模态整合策略
Front Pharmacol. 2025 Aug 20;16:1609079. doi: 10.3389/fphar.2025.1609079. eCollection 2025.
3
Immunotherapy biomarkers in brain metastases: insights into tumor microenvironment dynamics.脑转移瘤中的免疫治疗生物标志物：对肿瘤微环境动态变化的见解
Front Immunol. 2025 Aug 13;16:1600261. doi: 10.3389/fimmu.2025.1600261. eCollection 2025.
4
Mitochondrial metabolic reprogramming in colorectal cancer: mechanisms of resistance and future clinical interventions.结直肠癌中的线粒体代谢重编程：耐药机制与未来临床干预措施
Cell Death Discov. 2025 Aug 9;11(1):375. doi: 10.1038/s41420-025-02670-y.
5
Applications and advances of multi-omics technologies in gastrointestinal tumors.多组学技术在胃肠道肿瘤中的应用与进展
Front Med (Lausanne). 2025 Jul 23;12:1630788. doi: 10.3389/fmed.2025.1630788. eCollection 2025.
6
Evaluating Integrative Strategies for Incorporating Phenotypic Features in Spatial Transcriptomics.评估在空间转录组学中整合表型特征的综合策略。
ArXiv. 2025 Jul 29:arXiv:2507.22212v1.
7
Narrative Review of Patient Cancer Tissue-Derived Zebrafish Xenograft Models for Evaluating Drug Sensitivity as an Avatar Model for Clinical Application.用于评估药物敏感性的患者癌组织来源斑马鱼异种移植模型作为临床应用替身模型的叙述性综述
Cancer Med. 2025 Jul;14(13):e70942. doi: 10.1002/cam4.70942.
8
Spatial omics technology potentially promotes the progress of tumor immunotherapy.空间组学技术有可能推动肿瘤免疫治疗的进展。
Br J Cancer. 2025 Jun 2. doi: 10.1038/s41416-025-03075-5.
9
Spatial multi-omics analysis of tumor-stroma boundary cell features for predicting breast cancer progression and therapy response.用于预测乳腺癌进展和治疗反应的肿瘤-基质边界细胞特征的空间多组学分析
Front Cell Dev Biol. 2025 Mar 26;13:1570696. doi: 10.3389/fcell.2025.1570696. eCollection 2025.
本文引用的文献
1
Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer.髓系和 T 细胞的空间结构调控肺癌的免疫逃逸和临床结局。
Cancer Discov. 2024 Jun 3;14(6):1018-1047. doi: 10.1158/2159-8290.CD-23-1380.
2
Computational methods for alignment and integration of spatially resolved transcriptomics data.空间分辨转录组学数据的比对与整合的计算方法。
Comput Struct Biotechnol J. 2024 Mar 5;23:1094-1105. doi: 10.1016/j.csbj.2024.03.002. eCollection 2024 Dec.
3
The Web-Based Portal SpatialTME Integrates Histological Images with Single-Cell and Spatial Transcriptomics to Explore the Tumor Microenvironment.基于网络的门户SpatialTME将组织学图像与单细胞和空间转录组学相结合，以探索肿瘤微环境。
Cancer Res. 2024 Apr 15;84(8):1210-1220. doi: 10.1158/0008-5472.CAN-23-2650.
4
Spatial transcriptomics of B cell and T cell receptors reveals lymphocyte clonal dynamics.B 细胞和 T 细胞受体的空间转录组学揭示了淋巴细胞克隆动力学。
Science. 2023 Dec 8;382(6675):eadf8486. doi: 10.1126/science.adf8486.
5
Decoding the tumor microenvironment with spatial technologies.利用空间技术解码肿瘤微环境。
Nat Immunol. 2023 Dec;24(12):1982-1993. doi: 10.1038/s41590-023-01678-9. Epub 2023 Nov 27.
6
Spatial predictors of immunotherapy response in triple-negative breast cancer.三阴性乳腺癌免疫治疗反应的空间预测因子。
Nature. 2023 Sep;621(7980):868-876. doi: 10.1038/s41586-023-06498-3. Epub 2023 Sep 6.
7
Spatiotemporally resolved transcriptomics reveals the subcellular RNA kinetic landscape.时空分辨转录组学揭示了亚细胞 RNA 动力学景观。
Nat Methods. 2023 May;20(5):695-705. doi: 10.1038/s41592-023-01829-8. Epub 2023 Apr 10.
8
Reconstruction of the tumor spatial microenvironment along the malignant-boundary-nonmalignant axis.重建沿恶性边界-非恶性轴的肿瘤空间微环境。
Nat Commun. 2023 Feb 20;14(1):933. doi: 10.1038/s41467-023-36560-7.
9
Identification of a tumour immune barrier in the HCC microenvironment that determines the efficacy of immunotherapy.在肝癌微环境中鉴定决定免疫治疗疗效的肿瘤免疫屏障。
J Hepatol. 2023 Apr;78(4):770-782. doi: 10.1016/j.jhep.2023.01.011. Epub 2023 Jan 26.
10
Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma.空间分辨多组学解析胶质母细胞瘤中肿瘤-宿主的双向相互依赖关系。
Cancer Cell. 2022 Jun 13;40(6):639-655.e13. doi: 10.1016/j.ccell.2022.05.009.
Zotero 插件