Single-cell sequencing analysis reveals the dynamic tumour ecosystems of primary and metastatic lymph nodes in nasopharyngeal carcinoma

J Cell Mol Med. 2024 Oct;28(19):e70137. doi: 10.1111/jcmm.70137.

Abstract

Lymph node metastasis contributed to the leading cause and treatment failure in nasopharyngeal carcinoma (NPC). The microenvironment and the cellular communications of lymph node metastasized tumours determine the tumour progression and therapeutic effect, but the ecosystems about the lymph node metastasis (LNM) for NPC patients remain poorly characterized. Here, we integrated the transcriptomes of 47,618 single cells from eight samples related to NPC LNM. The dynamic immune ecosystems and immunosuppressive microenvironment including T cells, myeloid cells and B cells were observed in the lymph node metastatic samples compared with primary tumours. Additionally, the heterogeneity of epithelial cells was also revealed, and several clusters with expression programs that were associated with the progression-free survival of NPC patients were identified. Additionally, our data revealed the complex intercellular communications from primary to lymph node metastasis. The rewiring of CCL signalling which plays an important role in tumour metastasis was further identified. Altogether, we systematically characterized the ecosystem of NPC primary and lymph node metastasized tumours, which may shed light on the development of a therapeutic strategy to improve clinical outcomes of NPC patients with lymph node metastasis.

Keywords: NPC; immune ecosystem; lymph node metastasis; single‐cell sequencing.

MeSH terms

  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Lymph Nodes* / metabolism
  • Lymph Nodes* / pathology
  • Lymphatic Metastasis*
  • Nasopharyngeal Carcinoma* / genetics
  • Nasopharyngeal Carcinoma* / metabolism
  • Nasopharyngeal Carcinoma* / pathology
  • Nasopharyngeal Neoplasms* / genetics
  • Nasopharyngeal Neoplasms* / metabolism
  • Nasopharyngeal Neoplasms* / pathology
  • Single-Cell Analysis* / methods
  • Transcriptome / genetics
  • Tumor Microenvironment* / genetics