Department of Hematology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Department of Laboratory Medicine, Guangdong Engineering and Technology Research Center for Rapid Diagnostic Biosensors, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Front Immunol. 2024 Apr 29;15:1405249. doi: 10.3389/fimmu.2024.1405249. eCollection 2024.
Exploring monocytes' roles within the tumor microenvironment is crucial for crafting targeted cancer treatments.
This study unveils a novel methodology utilizing four 20-color flow cytometry panels for comprehensive peripheral immune system phenotyping, specifically targeting classical, intermediate, and non-classical monocyte subsets.
By applying advanced dimensionality reduction techniques like t-distributed stochastic neighbor embedding (tSNE) and FlowSom analysis, we performed an extensive profiling of monocytes, assessing 50 unique cell surface markers related to a wide range of immunological functions, including activation, differentiation, and immune checkpoint regulation.
This in-depth approach significantly refines the identification of monocyte subsets, directly supporting the development of personalized immunotherapies and enhancing diagnostic precision. Our pioneering panel for monocyte phenotyping marks a substantial leap in understanding monocyte biology, with profound implications for the accuracy of disease diagnostics and the success of checkpoint-inhibitor therapies. Key findings include revealing distinct marker expression patterns linked to tumor progression and providing new avenues for targeted therapeutic interventions.
探索单核细胞在肿瘤微环境中的作用对于制定靶向癌症治疗方法至关重要。
本研究揭示了一种新颖的方法,利用四个 20 色流式细胞术面板进行全面的外周免疫系统表型分析,特别针对经典、中间和非经典单核细胞亚群。
通过应用先进的降维技术,如 t 分布随机邻域嵌入(tSNE)和 FlowSom 分析,我们对单核细胞进行了广泛的分析,评估了与广泛免疫功能相关的 50 个独特的细胞表面标志物,包括激活、分化和免疫检查点调节。
这种深入的方法显著改进了单核细胞亚群的鉴定,直接支持个性化免疫疗法的发展并提高诊断精度。我们用于单核细胞表型分析的开创性面板标志着对单核细胞生物学理解的重大飞跃,对疾病诊断的准确性和检查点抑制剂治疗的成功具有深远影响。主要发现包括揭示与肿瘤进展相关的独特标记物表达模式,并为靶向治疗干预提供新途径。