分子生物学
IVD分子诊断
细胞培养与分析
蛋白研究
细胞因子
重组蛋白
抗体
高通量测序建库
病原检测UCF系列
生物医药
工具酶
抑制剂激活剂与常用试剂
仪器
耗材

Comprehensive Characterization of Stem Cell Landscape Identifies Novel Stemness-Relevant Genes for Nasopharyngeal Carcinoma Therapy

Dahua Xu, Bocen Chen, Yutong Shen, Guoqing Deng, Peihu Li, Jiale Cai, Jiayao Chen, Jing Bai, Yuyue Tian, Man Xiao, Hong Wang, Hongyan Jiang, Wangwei Cai, Bo Wang, Kongning Li

Journal:Cancers

IF:4.4

DOI:10.3390/cancers18030422

PMID:

Published:2026-01-28

research field:皮肤病学生物医学工程免疫学药物递送纳米医学

Abstract

Simple SummaryNasopharyngeal carcinoma (NPC) is a rare type of head and neck malignant tumor with specific geographical distribution. Growing evidence reveals the dominant roles of cancer stem cells (CSCs) in tumor progression and therapy resistance. However, the heterogeneity of CSCs and potential stemness-related markers for NPC patients are still largely unknown. We undertook a systematical analysis, dissecting the stemness heterogeneity of NPC patients. We classified NPC patients into two optimal clusters based on stemness-related gene lists, which were characterized by distinct clinical outcomes, immune phenotypes, and drug response. The immune cell exclusion is associated with the presence of the NPC stem cell-like phenotype. In particular, novel stemness-related markers including PSMC3IP, NABP2, CDC45, and HJURP were prioritized via WGCNA and Cox regression analysis. Moreover, their stemness traits in NPC cells were verified by Western blot, sphere formation, and CCK8 assays. Our results will provide valuable targets against metastatic or recurrent NPC.Background: Metastasis and recurrence account for the failure of nasopharyngeal carcinoma (NPC) treatment. Growing evidence indicates the dominant roles of cancer stem cells (CSCs) in tumor progression and therapy resistance. However, the heterogeneity of CSCs and potential stemness-related markers in NPC patients are still largely unknown. Methods: Consensus clustering was first applied to identify robust stemness subtypes for NPC patients based on the activities of stem cell gene sets. The differences in clinical outcomes, tumor immune microenvironment (TIME), and drug response were compared between subtypes. The stemness-related markers were prioritized via weighted gene correlation network analysis (WGCNA) and Cox regression, and verified through in vitro experiments. Results: NPC patients were classified int

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