Wang Chuanyu, Zhou Lang, Kang Xuejia, Huang Chung-Hui, Gao Zhuangqiang, Shen Jialiang, Wu Shuai, Wu Siqi, Cai Yuxin, Chen Weiqiang, Dai Siyuan, Chen Pengyu
Materials Engineering, Department of Mechanical Engineering, Auburn University, Auburn, AL, USA, 36849.
Materials Engineering, Department of Mechanical Engineering, Auburn University, Auburn, AL, USA, 36849; Department of Drug Discovery and Development, Harrison School of Pharmacy, Auburn University, Auburn, AL, 36849, USA.
Biosens Bioelectron. 2025 Jun 1;277:117293. doi: 10.1016/j.bios.2025.117293. Epub 2025 Feb 21.
Despite the transformative impact of immune checkpoint inhibitors (ICIs) targeting the PD-1/PD-L1 pathway in cancer therapy, up to 80% of patients fail to respond, necessitating reliable predictive biomarkers to guide treatment decisions. Recent studies highlight the critical role of tumor-derived exosomal PD-L1 in immune evasion, and its potential as a diagnostic and prognostic biomarker in cancer immunotherapy. However, significant challenges remain in elucidating the functional roles of PD-L1 exosomes in immune suppression, as current methods lack the ability to precisely and simultaneously characterize and monitor exosome secretion and the corresponding immune modulation on site. To address this, we developed an integrated microfluidic platform that combines a digital nanoplasmonic immunoassay with a cell-on-a-chip system, enabling in situ monitoring of PD-L1 exosome secretion and exosome-mediated T cell immune responses. This nanoplasmonic immunoassay integrated cell-on-a-chip (NIIC) creates a localized co-cultured microenvironment that facilitates exosome-mediated cellular interactions without direct contact. The NIIC employs machine-learning assisted signal processing for highly sensitive detection of both exosomes and cytokines, providing spatial and quantitative analysis of immune modulation in situ. Using this system, we demonstrated that PD-L1 exosomes from cancer cells significantly suppressed IFN-γ and IL-2 secretion in neighboring T cells, offering direct insights into exosome-mediated immune suppression. The NIIC platform represents a powerful tool for advancing the understanding of exosome-driven immune modulation and holds potential for predicting clinical responses to anti-PD-1/PD-L1 therapies, paving the way for more personalized cancer immunotherapy strategies.
尽管靶向PD-1/PD-L1通路的免疫检查点抑制剂(ICI)在癌症治疗中具有变革性影响,但高达80%的患者无反应,因此需要可靠的预测性生物标志物来指导治疗决策。最近的研究强调了肿瘤来源的外泌体PD-L1在免疫逃逸中的关键作用,以及其作为癌症免疫治疗中诊断和预后生物标志物的潜力。然而,在阐明PD-L1外泌体在免疫抑制中的功能作用方面仍存在重大挑战,因为目前的方法缺乏精确且同时表征和监测外泌体分泌以及现场相应免疫调节的能力。为了解决这一问题,我们开发了一种集成微流控平台,该平台将数字纳米等离子体免疫测定与芯片上细胞系统相结合,能够原位监测PD-L1外泌体分泌和外泌体介导的T细胞免疫反应。这种纳米等离子体免疫测定集成芯片上细胞(NIIC)创建了一个局部共培养微环境,便于外泌体介导的细胞间相互作用而无需直接接触。NIIC采用机器学习辅助信号处理来高度灵敏地检测外泌体和细胞因子,提供原位免疫调节的空间和定量分析。使用该系统,我们证明癌细胞来源的PD-L1外泌体显著抑制邻近T细胞中IFN-γ和IL-2的分泌,为外泌体介导的免疫抑制提供了直接见解。NIIC平台是推进对外泌体驱动的免疫调节理解的有力工具,在预测抗PD-1/PD-L1疗法的临床反应方面具有潜力,为更个性化的癌症免疫治疗策略铺平了道路。