Subtyping of head and neck squamous cell cancers based on immune signatures

Dandan Song1, Haoyu Lyu1, Qiushi Feng1

  • 1Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China; Cancer Genomics Research Center, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China; Big Data Research Institute, China Pharmaceutical University, Nanjing 211198, China.

Insights

Researchers identified three head and neck squamous cell carcinoma (HNSCC) subtypes based on immune cell infiltration. The "Immunity-H" subtype shows high immune infiltrates and PD-L1 expression, suggesting better response to immune checkpoint inhibitors (ICIs) in HNSCC patients.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Head and neck squamous cell carcinoma (HNSCC) exhibits variable responses to immune checkpoint inhibitors (ICIs).
  • Identifying HNSCC subtypes that respond to ICIs is crucial for effective treatment strategies.
  • Tumor microenvironment and genomic features influence immunotherapy outcomes.

Purpose of the Study:

  • To classify HNSCC into distinct subtypes based on immune cell enrichment.
  • To investigate the relationship between these subtypes, tumor characteristics, and prognosis.
  • To identify potential biomarkers for predicting response to ICIs in HNSCC.

Main Methods:

  • Hierarchical clustering of transcriptome data to define HNSCC subtypes based on immune cell enrichment scores.
  • Validation of the subtyping method across four independent HNSCC cohorts.
  • Analysis of immune infiltrates, PD-L1 expression, stemness, intratumor heterogeneity, genomic instability, and mutation profiles within each subtype.

Main Results:

  • Three stable HNSCC subtypes were identified: Immunity-H, Immunity-M, and Immunity-L.
  • Immunity-H subtype characterized by high immune infiltrates, high PD-L1 expression, low stemness, low intratumor heterogeneity, low genomic instability, and favorable prognosis.
  • Immunity-L subtype showed opposite characteristics with unfavorable prognosis. Somatic copy number alterations negatively associated with anti-tumor immunity; TP53, COL11A1, NSD1, and PKHD1L1 mutations linked to increased immune signatures in Immunity-H.

Conclusions:

  • The identified HNSCC subtypes reflect significant immunological heterogeneity.
  • The Immunity-H subtype, with its high immune infiltration and PD-L1 expression, is predicted to be most responsive to ICIs.
  • This subtyping approach offers valuable clinical implications for personalizing HNSCC immunotherapy.

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