Integrated peripheral blood multi-omics profiling identifies immune signatures predictive of neoadjuvant PD-1 blockade efficacy in head and neck squamous cell carcinoma
Journal of Translational Medicine, 2025
Zhang H., Wu W., Wang M., Zhang J., Guo C., Han G., Wang L.
| Disease area | Application area | Sample type | Products |
|---|---|---|---|
Oncology Immunotherapy | Patient Stratification | Plasma |  Olink Target 96 |
Abstract
Background
Neoadjuvant PD-1 inhibitor therapy has shown promise in locally advanced head and neck squamous cell carcinoma (HNSCC), but only a subset of patients achieves major pathological responses. Liquid biopsy, the analysis of tumor-derived biomarkers in readily accessible bodily fluids (primarily blood), offers significant advantages over traditional tissue biopsies for predicting cancer treatment outcomes. The aim of this study is to develop a predictive model for neoadjuvant PD-1 therapy response in HNSCC patients using exclusively liquid biopsy approaches-namely, peripheral blood immune profiling (CyTOF) and plasma cytokine panels (Olink).
Methods
In a prospective trial involving 50 HNSCC patients treated with neoadjuvant tislelizumab plus chemotherapy, peripheral blood samples were collected pre- and post-treatment. Immune cell subsets were analyzed by mass cytometry (CyTOF), and circulating protein markers were quantified via a 92-plex targeted proteomics panel (Olink). Multimodal features were integrated into a predictive model using logistic regression.
Results
Baseline immune profiles differed significantly between responder (RD) and non-responder (NRD): RD showed higher frequencies of CD103−CD8+ central memory T cells (Tcm, c03) and elevated plasma interleukins (IL-5, IL-13), whereas NRD had more CD28−TIGIThighcPARP−CD8+ terminally differentiated effector memory CD45RA+ T cells (Temra, c17) and higher levels of chemokines (CCL3, CCL4) and MMP7. Neoadjuvant therapy reactivated both subsets, evidenced by downregulation of PD-1 and increased expression of activation markers (e.g., CD38) and cytotoxic mediators (e.g., granzyme B and interferon γ). A multimodal predictive model incorporating CD8+T cell subsets (c03, c17) and plasma biomarkers (IL-5, MMP7) demonstrated superior predictive accuracy (AUC = 0.9219).
Conclusions
Integrated peripheral immune profiling enables robust, noninvasive prediction of neoadjuvant PD-1 blockade efficacy in HNSCC. The identified immune cell subsets and plasma biomarkers provide a clinically applicable framework for early response stratification and personalized immunotherapy, supporting liquid biopsy as a viable platform for clinical decision-making.