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

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.

Authors

Institutions

Publication Details

Journal
Cell Communication and Signaling
Published
2025-12-12
DOI
https://doi.org/10.1186/s12964-025-02360-3
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Vibha Tandon, Deepali Mishra, Jyoti Pandey, Palak Parashar et al.
Cell Communication and Signaling
Cancer Cells and Metastasis
article

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

Vibha Tandon, Deepali Mishra, Jyoti Pandey, Palak Parashar, Jee Min Lee, Ritis K. Shyanti, Sanjay V. Malhotra, Hitesh Verma, Tejinder Kataria, Praveen Kumar Kujur, Md. Zubbair Malik, Dhanir Tailor, Suneel Kateriya, Anshu Yadav, Rana Pratap Singh, Deepak Gupta, Rupesh Chaturvedi
article en

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.

Cell Communication and SignalingVol. 23(1)
Medanta The Medicity (IN), Alabama State University (US), Jawaharlal Nehru University (IN), Indian Institute of Chemical Biology (IN), Oregon Health & Science University (US), Dasman Diabetes Institute (KW), University of Colorado Anschutz Medical Campus (US), All India Institute of Medical Sciences (IN), University of Montana (US), Gautam Buddha University (IN)
Jawaharlal Nehru University, Department of Biotechnology, Ministry of Science and Technology, India, Department of Science and Technology, Ministry of Science and Technology, India, Indian Council of Medical Research, Indo-US Science and Technology Forum
Openalex Percentile: Top 45%
Cancer Cells and Metastasis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.