Li Wendi, Xiao Lin, Li Haiyang, Zuo Dan, Guo Kai, Zhang Ye, Cui Wei
State Key Laboratory of Molecular Oncology, Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ann Med. 2025 Dec;57(1):2522322. doi: 10.1080/07853890.2025.2522322. Epub 2025 Jun 23.
Head and neck squamous cell carcinoma (HNSCC) is a common and challenging malignancy, with limited response rates to immune checkpoint inhibitors (ICIs). Accurate blood-based biomarkers are needed to predict immunotherapy responses, aiding patient stratification in neoadjuvant settings.
Baseline peripheral blood samples were collected from 52 newly diagnosed HNSCC patients undergoing neoadjuvant ICI therapy. Immune cell phenotypes were assessed using flow cytometry across three staining panels: Panel A (CD3, CD4, CD8, PD-1, CD28, HLA-DR), Panel B (CD3, CD4, CD8, KLRG-1, CD57), and Panel C (CD3, CD4, CD8, CD45RA, CCR7, CD28, CD38). Retrospective analysis included routine blood counts, biochemical markers, and cytokine levels. The predictive accuracy of individual and combined biomarkers was evaluated using receiver operating characteristic (ROC) curve analysis.
Six immune markers were elevated in non-responder group (non-R group), including PD-1/CD8 T, PD-1ʰ/CD8 T, PD-1/CD8 T, and CD28PD-1/CD8 T as percentage markers, and HLA-DR/CD8 T and HLA-DR/CD28PD-1CD8 T as mean fluorescence intensity (MFI) markers. Inflammation markers, including WBC, neutrophils (Neut), and CRP, also correlated with response. A combined model of CD28PD-1/CD8 T cells and WBC achieved an area under the curve (AUC) of 0.82 (95% CI: 0.69-0.94), outperforming the Combined Positive Score (CPS; AUC = 0.59, 95% CI: 0.43-0.76).
These findings suggest that peripheral immune and inflammatory markers, particularly CD28PD-1/CD8 T cells and WBC, can predict ICI response, supporting personalized immunotherapy in HNSCC.
头颈部鳞状细胞癌(HNSCC)是一种常见且具有挑战性的恶性肿瘤,对免疫检查点抑制剂(ICI)的反应率有限。需要准确的血液生物标志物来预测免疫治疗反应,以辅助新辅助治疗环境下的患者分层。
收集了52例接受新辅助ICI治疗的新诊断HNSCC患者的基线外周血样本。使用流式细胞术在三个染色板上评估免疫细胞表型:A板(CD3、CD4、CD8、PD-1、CD28、HLA-DR)、B板(CD3、CD4、CD8、KLRG-1、CD57)和C板(CD3、CD4、CD8、CD45RA、CCR7、CD28、CD38)。回顾性分析包括常规血常规、生化标志物和细胞因子水平。使用受试者操作特征(ROC)曲线分析评估单个和组合生物标志物的预测准确性。
无反应组(非R组)中有六种免疫标志物升高,包括作为百分比标志物的PD-1/CD8 T、PD-1ʰ/CD8 T、PD-1/CD8 T和CD28PD-1/CD8 T,以及作为平均荧光强度(MFI)标志物的HLA-DR/CD8 T和HLA-DR/CD28PD-1CD8 T。包括白细胞(WBC)、中性粒细胞(Neut)和C反应蛋白(CRP)在内的炎症标志物也与反应相关。CD28PD-1/CD8 T细胞和WBC的组合模型的曲线下面积(AUC)为0.82(95%CI:0.69-0.94),优于联合阳性评分(CPS;AUC = 0.59,9