Single-cell transcriptomic analysis reveals the landscape of epithelial-mesenchymal transition molecular heterogeneity in esophageal squamous cell carcinoma

被引:6
|
作者
Guo, Dianhao [1 ]
Sheng, Kaiwen [1 ]
Zhang, Qi [1 ]
Li, Pin [1 ]
Sun, Haoqiang [1 ]
Wang, Yongjie [1 ]
Lyu, Xinxing [1 ]
Jia, Yang [2 ]
Wang, Caifan [1 ]
Wu, Jing [1 ]
Zhang, Xiaohang [4 ]
Wang, Dandan [1 ]
Sun, Yawen [3 ]
Huang, Shuhong [1 ,8 ]
Yu, Jinming [5 ,6 ,7 ]
Zhang, Jingze [5 ,6 ]
机构
[1] Shandong First Med Univ & Shandong Acad Med Sci, Sch Clin & Basic Med Sci, Jinan 250117, Shandong, Peoples R China
[2] Shandong First Med Univ, Shandong Prov Hosp, Dept Thorac Surg, Jinan 250117, Shandong, Peoples R China
[3] Shandong First Med Univ & Shandong Acad Med Sci, Shandong Canc Hosp & Inst, Dept Clin Epidemiol & Biostat, Jingwuweiqi Rd 324, Jinan 250117, Shandong, Peoples R China
[4] Macau Univ Sci & Technol, Ave Wai Long, Taipa, Macao, Peoples R China
[5] Shandong First Med Univ & Shandong Acad Med Sci, Shandong Canc Hosp & Inst, Dept Radiat Oncol, Jiyan Rd 440, Jinan 250117, Shandong, Peoples R China
[6] Shandong First Med Univ & Shandong Acad Med Sci, Shandong Canc Hosp & Inst, Shandong Prov Key Lab Radiat Oncol, Jiyan Rd 440, Jinan 250117, Shandong, Peoples R China
[7] Chinese Acad Med Sci, Res Unit Radiat Oncol, Jinan, Shandong, Peoples R China
[8] Shandong First Med Univ & Shandong Acad Med Sci, Sch Clin & Basic Med Sci, Dept Biochem & Mol Biol, Qingdao Rd 6699, Jinan 250117, Peoples R China
基金
中国国家自然科学基金;
关键词
Single -cell transcriptomic analysis; Epithelial-mesenchymal transition; Molecular heterogeneity; Cancer -associated fibroblasts; Targeted drugs; EMT; FIBROBLASTS; DISCOVERY;
D O I
10.1016/j.canlet.2024.216723
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Esophageal squamous cell carcinoma (ESCC) is a prevalent and highly lethal malignant disease. The epithelialmesenchymal transition (EMT) is crucial in promoting ESCC development. However, the molecular heterogeneity of ESCC and the potential inhibitory strategies targeting EMT remain poorly understood. In this study, we analyzed high -resolution single -cell transcriptome data encompassing 209,231 ESCC cells from 39 tumor samples and 16 adjacent samples obtained from 44 individuals. We identified distinct cell populations exhibiting heterogeneous EMT characteristics and identified 87 EMT -associated molecules. The expression profiles of these EMT -associated molecules showed heterogeneity across different stages of ESCC progression. Moreover, we observed that EMT primarily occurred in early -stage tumors, before lymph node metastasis, and significantly promoted the rapid deterioration of ESCC. Notably, we identified SERPINH1 as a potential novel marker for ESCC EMT. By classifying ESCC patients based on EMT gene sets, we found that those with high EMT exhibited poorer prognosis. Furthermore, we predicted and experimentally validated drugs targeting ESCC EMT, including dactolisib, docetaxel, and nutlin, which demonstrated efficacy in inhibiting EMT and metastasis in ESCC. Through the integration of scRNA-seq, RNA-seq, and TCGA data with experimental validation, our comprehensive analysis elucidated the landscape of EMT during the entire course of ESCC development and metastasis. These findings provide valuable insights and a reference for refining ESCC clinical treatment strategies.
引用
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页数:18
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