Ren Liping, Huang Danni, Liu Hongjiang, Ning Lin, Cai Peiling, Yu Xiaolong, Zhang Yang, Luo Nanchao, Lin Hao, Su Jinsong, Zhang Yinghui
School of Healthcare Technology, Chengdu Neusoft University, Chengdu, Sichuan 611844, P.R. China.
Department of Radiology, Central South University Xiangya School of Medicine Affiliated Haikou People's Hospital, Haikou, Hainan 570208, P.R. China.
Oncol Lett. 2024 Feb 14;27(4):152. doi: 10.3892/ol.2024.14285. eCollection 2024 Apr.
Gastric cancer (GC) is a prominent contributor to global cancer-related mortalities, and a deeper understanding of its molecular characteristics and tumor heterogeneity is required. Single-cell omics and spatial transcriptomics (ST) technologies have revolutionized cancer research by enabling the exploration of cellular heterogeneity and molecular landscapes at the single-cell level. In the present review, an overview of the advancements in single-cell omics and ST technologies and their applications in GC research is provided. Firstly, multiple single-cell omics and ST methods are discussed, highlighting their ability to offer unique insights into gene expression, genetic alterations, epigenomic modifications, protein expression patterns and cellular location in tissues. Furthermore, a summary is provided of key findings from previous research on single-cell omics and ST methods used in GC, which have provided valuable insights into genetic alterations, tumor diagnosis and prognosis, tumor microenvironment analysis, and treatment response. In summary, the application of single-cell omics and ST technologies has revealed the levels of cellular heterogeneity and the molecular characteristics of GC, and holds promise for improving diagnostics, personalized treatments and patient outcomes in GC.
胃癌(GC)是导致全球癌症相关死亡的一个重要因素,因此需要更深入地了解其分子特征和肿瘤异质性。单细胞组学和空间转录组学(ST)技术通过在单细胞水平上探索细胞异质性和分子景观,彻底改变了癌症研究。在本综述中,我们概述了单细胞组学和ST技术的进展及其在GC研究中的应用。首先,讨论了多种单细胞组学和ST方法,强调了它们在提供基因表达、基因改变、表观基因组修饰、蛋白质表达模式和组织中细胞定位等独特见解方面的能力。此外,还总结了先前关于GC中使用的单细胞组学和ST方法的研究的关键发现,这些发现为基因改变、肿瘤诊断和预后、肿瘤微环境分析以及治疗反应提供了有价值的见解。总之,单细胞组学和ST技术的应用揭示了GC的细胞异质性水平和分子特征,并有望改善GC的诊断、个性化治疗和患者预后。