PD-L2 based immune signature confers poor prognosis in HNSCC

Oncoimmunology. 2021 Aug 4;10(1):1947569. doi: 10.1080/2162402X.2021.1947569. eCollection 2021.

Abstract

PD-L2 expression is an important predictor of anti-PD-1 therapy efficacy in patients with head and neck squamous cell carcinoma (HNSCC). However, whether the PD-L2-based immune signature can serve as a prognostic biomarker for patients with HNSCC remains unclear. Here, we reported that PD-L2 was positively stained in 62.7% of tumors, which was more than twice as that of PD-L1, and in 61.4% of patients with PD-L1-negative tumors. Survival tree analysis (STA) revealed that PD-L2high was an independent predictor of poor overall survival (OS). Six patterns were generated from STA, demonstrating that patients with PD-L2lowCD3high were associated with an improved median OS of 72 months and prognostic index (PI) of -3.95 (95% CI, -5.14 to -2.76), whereas patients with PD-L2highCD3lowCD8low to a median OS of 10 months and PI of 1.43 (95% CI, 0.56 to 2.30). Analysis of single-cell RNA sequencing showed that PD-L2 expression was associated with IL-6 expression. We confirmed that IL-6 augments PD-L2 expression in HNSCC cell lines. The PD-L2-based immune signature can serve as an effective biomarker for anti-PD-1 therapy. In addition, PD-L2 may serve as a potential immunotherapeutic target, and we propose anti-IL6 therapy in the adjuvant setting for patients with HNSCC with high PD-L2 expression.

Keywords: Programmed cell death 1 ligand 2; head and neck squamous cell carcinoma; immune signature; interleukin-6; prognosis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor / genetics
  • Head and Neck Neoplasms* / drug therapy
  • Humans
  • Prognosis
  • Squamous Cell Carcinoma of Head and Neck / drug therapy

Substances

  • Biomarkers, Tumor

Grants and funding

This work was supported by the National Natural Scientific Fund of China (81872495, 81872206, 82073010, 81702678); Tianjin Special Support Program for Talent Development “Top Young Talents”; Tianjin Research Innovation Project for Postgraduate Students (2019YJSS174);