Detection of plasma EV-associated TRAIL by nanoscale flow cytometry for liver metastasis prediction in PDAC

Chun-Xiang Huang , Jia-Hong Jian , Jun-Sheng Hao , Zi-Wen Zhou , Zhuo-Qun Li , Dong-Ming Kuang , Cai-Yuan Wu

Advanced Biotechnology ›› 2026, Vol. 4 ›› Issue (1) : 6

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Advanced Biotechnology ›› 2026, Vol. 4 ›› Issue (1) :6 DOI: 10.1007/s44307-026-00102-1
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Detection of plasma EV-associated TRAIL by nanoscale flow cytometry for liver metastasis prediction in PDAC
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Abstract

Extracellular vesicles (EVs) mediate tumor–host communication and represent a promising liquid biopsy source for metastasis risk assessment, yet quantitative detection of low-abundance, epitope-defined EV subpopulations in plasma remains technically challenging. Here, we establish a nanoscale flow cytometry workflow on the CytoFLEX platform for sensitive single-EV phenotyping by optimizing violet side scatter (VSSC) triggering, defining an acquisition window that minimizes coincidence or “swarm” effects, and applying fluorescence-based analysis with stringent background controls. Using this framework, we quantified EV-associated tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) at the single particle level, with good inter-assay reproducibility (CV ~ 11–13%), and resolved low-abundance TRAIL⁺ EVs at approximately 1% abundance within total EV events. Due to the low abundance of EV-associated TRAIL in pancreatic ductal adenocarcinoma (PDAC) plasma, ELISA lacked sufficient analytical sensitivity to accurately reflect EV-associated TRAIL levels, whereas flow-based enumeration preserved quantitative resolution. Clinically, plasma EV-associated TRAIL was significantly elevated in PDAC patients with liver metastasis and demonstrated predictive utility for postoperative liver metastatic recurrence (AUC = 0.766). These results support nanoscale flow cytometry as a robust platform for plasma EV biomarker profiling and identify EV-associated TRAIL as an informative indicator of liver metastatic risk in PDAC.

Keywords

Nanoscale flow cytometry / Extracellular vesicles / Pancreatic ductal adenocarcinoma / Liver metastasis

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Chun-Xiang Huang, Jia-Hong Jian, Jun-Sheng Hao, Zi-Wen Zhou, Zhuo-Qun Li, Dong-Ming Kuang, Cai-Yuan Wu. Detection of plasma EV-associated TRAIL by nanoscale flow cytometry for liver metastasis prediction in PDAC. Advanced Biotechnology, 2026, 4(1): 6 DOI:10.1007/s44307-026-00102-1

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Funding

National Natural Science Foundation of China(32530037)

Natural Science Foundation of Guangdong Province(2025B0303000010)

National Postdoctoral Program for Innovative Talents(BX20250192)

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