转移
鉴定(生物学)
癌症研究
生物
医学
计算生物学
癌症
内科学
植物
作者
Ching Ngar Wong,Yu Zhang,Beibei Ru,Songna Wang,Hong-Yu Zhou,Jiarun Lin,Yingchen Lyu,Yanru Qin,Peng Jiang,Victor Lee,Xin‐Yuan Guan
标识
DOI:10.1002/advs.202401590
摘要
Metastasis is the biggest obstacle to esophageal squamous cell carcinoma (ESCC) treatment. Single-cell RNA sequencing analyses are applied to investigate lung metastatic ESCC cells isolated from pulmonary metastasis mouse model at multiple timepoints to characterize early metastatic microenvironment. A small population of parental KYSE30 cell line (Cluster S) resembling metastasis-initiating cells (MICs) is identified because they survive and colonize at lung metastatic sites. Differential expression profile comparisons between Cluster S and other subpopulations identified a panel of 7 metastasis-initiating signature genes (MIS), including CD44 and TACSTD2, to represent MICs in ESCC. Functional studies demonstrated MICs (CD44
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