Single-cell transcriptomic landscape and the microenvironment of normal adjacent tissues in hypopharyngeal carcinoma

BMC Genomics. 2024 May 17;25(1):489. doi: 10.1186/s12864-024-10321-2.

Abstract

Background: The cellular origin of hypopharyngeal diseases is crucial for further diagnosis and treatment, and the microenvironment in tissues may also be associated with specific cell types at the same time. Normal adjacent tissues (NATs) of hypopharyngeal carcinoma differ from non-tumor-bearing tissues, and can influenced by the tumor. However, the heterogeneity in kinds of disease samples remains little known, and the transcriptomic profile about biological information associated with disease occurrence and clinical outcome contained in it has yet to be fully evaluated. For these reasons, we should quickly investigate the taxonomic and transcriptomic information of NATs in human hypopharynx.

Results: Single-cell suspensions of normal adjacent tissues (NATs) of hypopharyngeal carcinoma were obtained and single-cell RNA sequencing (scRNA-seq) was performed. We present scRNA-seq data from 39,315 high-quality cells in the hypopharyngeal from five human donors, nine clusters of normal adjacent human hypopharyngeal cells were presented, including epithelial cells, endothelial cells (ECs), mononuclear phagocyte system cells (MPs), fibroblasts, T cells, plasma cells, B cells, mural cells and mast cells. Nonimmune components in the microenvironment, including epithelial cells, endothelial cells, fibroblasts and the subpopulations of them were performed.

Conclusions: Our data provide a solid basis for the study of single-cell landscape in human normal adjacent hypopharyngeal tissues biology and related diseases.

Keywords: Epithelial cells; Fibroblasts; Human hypopharyngeal carcinoma; Single-cell RNA sequencing; normal adjacent tissues.

MeSH terms

  • Gene Expression Profiling
  • Humans
  • Hypopharyngeal Neoplasms* / genetics
  • Hypopharyngeal Neoplasms* / pathology
  • Hypopharynx / metabolism
  • Hypopharynx / pathology
  • Male
  • Sequence Analysis, RNA
  • Single-Cell Analysis*
  • Transcriptome*
  • Tumor Microenvironment* / genetics