Flow-cytometric profiling of large extracellular vesicles as immunophenotypic biomarkers in head and neck squamous cell carcinoma.

IF 5.1
Judith Büntzel, Markus Maulhardt, Alexander Casimir Angleitner, Matthias Schulz, Daniel Köberle, Said Naser, Clara Zwerenz, Charlotta Friederike Pagel, Andrea Hille, Anna-Carina Hund, Jens Büntzel
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Abstract

Background: Large extracellular vesicles (large EV) released from tumor and benign cells are detectable in blood and hold potential as non-invasive biomarkers. While their diagnostic relevance has been shown in several malignancies, their role in head and neck squamous cell carcinoma (HNSCC) remains insufficiently characterized.

Methods: Large EV were isolated from peripheral blood of patients with HNSCC (n = 66), non-small cell lung cancer (NSCLC; n = 52; adenocarcinoma n = 39, squamous cell carcinoma (SQCCL) n = 11), and healthy controls (n = 11) by differential centrifugation. Flow cytometry quantified surface expression of EGFR, EPCAM, MUC1, and PD-L1. Associations with clinical parameters were analyzed using t-tests, Spearman correlations, logistic regression, and random forest modeling.

Results: HNSCC-derived large EV showed significantly higher EGFR and MUC1, but lower EPCAM expression compared to controls. PD-L1 expression increased with advancing tumor stage and was positively associated with metastatic status, whereas EGFR levels declined in metastatic disease. Combined ROC analysis of EGFR, EPCAM, and PD-L1 yielded an AUC of 0.785 (p = 0.003), distinguishing HNSCC from controls. Comparative profiling revealed higher EGFR and EPCAM expression in HNSCC versus NSCLC, while MUC1 predominated in NSCLC, particularly in SQCCL; notably, the NSCLC cohort was predominantly adenocarcinoma. A marker panel comprising EGFR, EPCAM, and MUC1 differentiated HNSCC from SQCCL in this limited subgroup (n = 11) with 96.97% sensitivity, 45.45% specificity, 92.75% positive predictive value and 75.00% negative predictive value.

Conclusion: Flow-cytometric profiling of circulating large EV provides a feasible liquid biopsy approach for tumor characterization in HNSCC. PD-L1 expression reflects tumor burden, and combined large EV marker analysis enables differentiation between HNSCC and primary squamous lung carcinoma, supporting its diagnostic utility in clinical oncology.

大细胞外囊泡作为头颈部鳞状细胞癌免疫表型生物标志物的流式细胞术分析。
背景:肿瘤和良性细胞释放的大细胞外囊泡(Large extracellular vesicole, EV)在血液中可检测到,具有作为非侵入性生物标志物的潜力。虽然它们在几种恶性肿瘤中的诊断相关性已被证实,但它们在头颈部鳞状细胞癌(HNSCC)中的作用仍未充分表征。方法:采用差速离心法从HNSCC (n = 66)、非小细胞肺癌(NSCLC) (n = 52)、腺癌(n = 39)、鳞状细胞癌(SQCCL) (n = 11)和健康对照(n = 11)患者外周血中分离出大EV。流式细胞术定量了EGFR、EPCAM、MUC1和PD-L1的表面表达。使用t检验、Spearman相关性、逻辑回归和随机森林模型分析与临床参数的关系。结果:与对照组相比,hnscc衍生的大EV的EGFR和MUC1表达明显升高,EPCAM表达明显降低。PD-L1表达随着肿瘤分期的进展而增加,并与转移状态呈正相关,而EGFR水平在转移性疾病中下降。结合EGFR、EPCAM和PD-L1的ROC分析得出AUC为0.785 (p = 0.003),将HNSCC与对照组区分开来。对比分析显示,EGFR和EPCAM在HNSCC中的表达高于NSCLC,而MUC1在NSCLC中占主导地位,尤其是在SQCCL中;值得注意的是,非小细胞肺癌队列主要是腺癌。一个由EGFR、EPCAM和MUC1组成的标记小组在这个有限的亚组(n = 11)中区分HNSCC和SQCCL,灵敏度为96.97%,特异性为45.45%,阳性预测值为92.75%,阴性预测值为75.00%。结论:循环大EV的流式细胞分析为HNSCC的肿瘤特征提供了一种可行的液体活检方法。PD-L1的表达反映了肿瘤负荷,结合大EV标记分析可以区分HNSCC和原发性鳞状肺癌,支持其在临床肿瘤学诊断中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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