Uncovering functional divergence and cellular clusters with specific gene signatures in HNSCC clonal spheroids

揭示头颈部鳞状细胞癌克隆球体中的功能分化和具有特定基因特征的细胞簇

阅读:2

Abstract

Head and neck squamous cell carcinoma (HNSCC) exhibits substantial genetic and functional heterogeneities. We generated clonal spheroids (CS) from HNSCC cell lines and patient tumor cells, uncovering distinct functional differences. Hyperproliferative spheroids (HRPS) showed increased proliferation and tumorigenic potential, whereas hypoproliferative spheroids (HOPS) demonstrated enhanced migration and resistance to cisplatin and radiation. In patient tumor-derived spheroids, spheroid size distribution analysis across various TNM stages indicated that early-stage tumors (T2N0M0) predominantly formed HRPS, while later-stage tumors (T4N2M0) exhibited a higher prevalence of HOPS. Single-cell RNA sequencing (scRNA-seq) identified six clusters in the HOPS and four in the HRPS, each defined by unique gene expression profiles and pathway enrichment. HOPS were enriched with fibroblast, mesenchymal, and keratinizing epithelial cells, indicating a metastatic phenotype. They also expressed genes associated with stemness (KRT15 and ALDH3A1). Conversely, HRPS was characterized by proliferative genes, including TOP2A, AURKA, CKS2, AREG, and ANLN, suggesting an advanced HNSCC proliferative signature. Despite being generated from only two cells/well, the various clusters in both spheroid types mirrored the diverse tumor microenvironment in HNSCC, including neoplastic, epithelial, basal, fibroblast, and mesenchymal cells. Notably, the gene expression profiles of Cluster 3 in the HOPS and Cluster 1 in the HRPS closely matched the expression patterns observed in the HNSCC-TCGA dataset. These clusters also displayed a high transcriptional correlation between patient tumors and their xenografts, reinforcing the clonal nature of HNSCC's genetic and functional diversity of HNSCC.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。