Single-cell integrated transcriptomics reveals the role of keratinocytes in head and neck squamous cell carcinoma
- Shaokun Liu 1, Meng Lian 2, Boxuan Han 2, Jugao Fang 3, Zhenlin Wang 4
- Shaokun Liu 1, Meng Lian 2, Boxuan Han 2
- 1Department of Otorhinolaryngology Head and Neck Surgery, Xuanwu Hospital Capital Medical University, Beijing, China.
- 2Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
- 3Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China. fangjugao2@ccmu.edu.cn.
- 4Department of Otorhinolaryngology Head and Neck Surgery, Xuanwu Hospital Capital Medical University, Beijing, China. wzl1812@163.com.
- 0Department of Otorhinolaryngology Head and Neck Surgery, Xuanwu Hospital Capital Medical University, Beijing, China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study reveals keratinocytes as key in head and neck squamous cell carcinoma (HNSCC). A new prognostic model aids in predicting HNSCC progression and identifying potential therapeutic targets.
Area Of Science
- Oncology
- Genomics
- Molecular Biology
Background
- Head and neck squamous cell carcinoma (HNSCC) presents significant challenges in morbidity and mortality.
- Improved understanding of HNSCC molecular mechanisms, prognostic markers, and therapeutic targets is critical for patient outcomes.
Purpose Of The Study
- To comprehensively analyze HNSCC at the cellular level using single-cell and bulk RNA sequencing.
- To identify key cell types, gene modules, and prognostic markers involved in HNSCC progression.
- To develop a predictive model for HNSCC prognosis and explore potential therapeutic strategies.
Main Methods
- Utilized single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data for HNSCC analysis.
- Employed hdWGCNA co-expression network analysis to identify gene modules.
- Constructed and validated a prognostic model using gene expression data.
- Performed immune cell infiltration and signaling pathway analysis.
- Conducted drug sensitivity analysis.
Main Results
- Identified keratinocytes as the predominant cell type in HNSCC tumors.
- Discovered gene modules significantly associated with HNSCC progression.
- Developed a robust prognostic model with strong predictive performance across datasets.
- Demonstrated correlations between the prognostic model, immune infiltration, and tumor progression pathways.
- Identified potential chemotherapeutic targets based on drug sensitivity analysis.
Conclusions
- Keratinocytes play a potential role in HNSCC development.
- The developed prognostic model offers valuable insights for predicting HNSCC prognosis.
- Findings illuminate the molecular landscape and immune microenvironment of HNSCC.
- Potential therapeutic targets and strategies for HNSCC treatment have been identified.
- Further research is needed to validate and translate these findings into clinical practice for improved HNSCC patient outcomes.
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