Predictive Analysis in Oral Cancer Immunotherapy: Profiling Dual PD-L1-Positive Extracellular Vesicle Subtypes with Step-Wedge Microfluidic Chips
PD-L1-positive extracellular vesicles (PD-L1<sup>+</sup> EVs) play a pivotal role as predictive biomarkers in cancer immunotherapy. These vesicles, originating from immune cells (I-PD-L1<sup>+</sup> EVs) and tumor cells (T-PD-L1<sup>+</sup> EVs), hold distinct clinical predictive values, emphasizing the importance of deeply differentiating the PD-L1<sup>+</sup> EV subtypes for effective liquid biopsy analyses. However, current methods such as ELISA lack the ability to differentiate their cellular sources. In this study, a novel step-wedge microfluidic chip that combines magnetic microsphere separation with single-layer fluorescence counting is developed. This chip integrates magnetic microspheres modified with anti-PD-L1 antibodies and fluorescent nanoparticles targeting EpCAM (tumor cell marker) or CD45 (immunocyte marker), enabling simultaneous quantification and sensitive analysis of PD-L1<sup>+</sup> EV subpopulations in oral squamous cell carcinoma (OSCC) patients' saliva without background interference. Analysis results indicate reduced levels of I-PD-L1<sup>+</sup> EVs in OSCC patients compared to those in healthy individuals, with varying levels of heterogeneous PD-L1<sup>+</sup> EVs observed among different patient groups. During immunotherapy, responders exhibit decreased levels of total PD-L1<sup>+</sup> EVs and T-PD-L1<sup>+</sup> EVs, accompanied by reduced levels of I-PD-L1<sup>+</sup> EVs. Conversely, nonresponders show increased levels of I-PD-L1<sup>+</sup> EVs. Utilizing the step-wedge microfluidic chip allows for simultaneous detection of PD-L1<sup>+</sup> EV subtypes, facilitating the precise prediction of oral cancer immunotherapy outcomes.
Authors
- Shao-Li Hong (ORCID: https://orcid.org/0000-0001-9432-2104)
- Xing-Chi Liu
- Jun Jia (ORCID: https://orcid.org/0000-0002-9593-5567)
- Min Wu (ORCID: https://orcid.org/0000-0002-1388-9692)
- Zhouyang Wu (ORCID: https://orcid.org/0000-0001-7487-3072)
- Zi‐Li Yu (ORCID: https://orcid.org/0000-0003-0728-8564)
- Xuan Wang (ORCID: https://orcid.org/0000-0002-0790-5641)
- Gang Chen (ORCID: https://orcid.org/0000-0003-3332-3511)
- Qiuyun Fu (ORCID: https://orcid.org/0000-0002-4331-0004)
- Chang-Xin Ji
Institutions
- Wuhan University (CN)
- Wuhan Textile University (CN)
Publication Details
- Journal
- Analytical Chemistry
- Published
- 2024-09-05
- DOI
- https://doi.org/10.1021/acs.analchem.4c03101
- Citations
- 14
- Primary Topic
- Extracellular vesicles in disease
- Type
- article
- Field-Weighted Citation Impact
- 3.27
Funders
- Beijing Xisike Clinical Oncology Research Foundation
- National Natural Science Foundation of China