4.6 Article

Integrated single-cell and bulk RNA sequencing analyses reveal a prognostic signature of cancer-associated fibroblasts in head and neck squamous cell carcinoma

期刊

FRONTIERS IN GENETICS
卷 13, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2022.1028469

关键词

head and neck carcinoma; cancer-associated fibroblast; single-cell sequencing; prognostic signature; bulk RNA sequencing

资金

  1. National Natural Science Foundation of China
  2. Science and Technology Commission of Shanghai Municipality
  3. [82072951]
  4. [19411966600]

向作者/读者索取更多资源

This study aimed to identify a prognosis-related subtype of cancer-associated fibroblasts (CAFs) in head and neck squamous cell carcinoma (HNSCC) and investigate its contributions to molecular characteristics, immune characteristics, and potential benefits in immunotherapy and chemotherapy for HNSCC. Single-cell RNA sequencing (scRNA-seq) analysis was performed on CAFs from HNSCC patient samples to identify the prognostic subgroup. A prognostic signature based on 4 genes derived from the prognosis-related CAFs was constructed. The results showed that higher CAF scores correlated with poor survival outcomes, lower infiltration levels of immune cells, and decreased sensitivity to chemotherapy and immunotherapy.
Objectives: To identify a prognosis-related subtype of cancer-associated fibroblasts (CAFs) in head and neck squamous cell carcinoma (HNSCC) and comprehend its contributions to molecular characteristics, immune characteristics, and their potential benefits in immunotherapy and chemotherapy for HNSCC. Materials and Methods: We performed single-cell RNA sequencing (scRNA-seq) analysis of CAFs from the samples of HNSCC patients derived from Gene Expression Omnibus (GEO), to identify the prognosis-related subtype of CAFs. CAFs were clustered into five subtypes, and a prognosis-related subtype was identified. Univariate and multivariate cox regression analyses were performed on the cohort selected from The Cancer Genome Atlas (TCGA) to determine signature construction, which was validated in GSE65858 and GSE42743. A prognostic signature based on 4 genes was constructed, which were derived from prognosis-related CAFs. The molecular characteristics, immune characteristics as well as the predicted chemosensitivity and immunotherapeutic response in the signature-defined subgroups were analyzed subsequently. Results: The patients with higher CAF scores correlated with poor survival outcomes. Additionally, a high CAF score correlated with lower infiltration levels of many immune cells including M1 macrophages, CD8(+) T cells, follicular T helper cells, monocytes, and naive B cells. High CAF score also demonstrated different enrichment pathways, mutation genes and copy number variated genes. Furthermore, patients with high CAF scores showed lower sensitivity for chemotherapy and immunotherapy than those with low CAF scores. Conclusion: The results of our study indicate the potential of the CAF signature as a biomarker for the prognosis of HNSCC patients. Furthermore, the signature could be a prospective therapeutic target in HNSCC.

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