Quantification of Fascin-1-Positive Extracellular Vesicles by Nanoflow Cytometry for Early Detection of Hepatocellular Carcinoma in Liquid Biopsy

<b>Background:</b> Hepatocellular carcinoma (HCC) lacks effective early diagnostic biomarkers. Identifying extracellular vesicles (EVs)-associated biomarkers for early HCC detection in HCC progression is precise and critical. <b>Methods:</b> Databases, tissue microarrays (TMA) were used to identify Fascin-1 as a candidate target for HCC, EVs isolated from tumoral and adjacent tissues. The tumor cells were transfected with lentivirus to obtain the engineered EVs. <b>Results:</b> Fascin-1-enriched EVs promoted HCC cell migration and induced cytoskeleton reorganization <i>in vitro</i>. Importantly, quantifying Fascin-1-positive EVs (Fascin-1<sup>+</sup>EVs) in patient plasma by nanoflow cytometry (nFCM) demonstrated high diagnostic performance (AUC=0.8925, 95%CI: 0.7959-0.9891) for discriminating advanced stage from early stage of HCC patients and healthy individuals. <b>Conclusion:</b> Our findings highlight the potential of Fascin-1<sup>+</sup>EVs as a novel non-invasive biomarker for early HCC detection, and quantitative Fascin-1<sup>+</sup>EV analysis by nanoflow cytometry provides a promising approach for HCC diagnosis.

Authors

Institutions

Publication Details

Journal
International Journal of Medical Sciences
Published
2025-02-28
DOI
https://doi.org/10.7150/ijms.102438
Citations
2
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
1.61

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantification of Fascin-1-Positive Extracellular Vesicles by Nanoflow Cytometry for Early Detection of Hepatocellular Carcinoma in Liquid Biopsy

Guanbo Wang, Jia‐Wei Li, Qiliang Wu, Bodeng Wu et al.
2 citations
International Journal of Medical Sciences
Extracellular vesicles in disease
1.61
article

Quantification of Fascin-1-Positive Extracellular Vesicles by Nanoflow Cytometry for Early Detection of Hepatocellular Carcinoma in Liquid Biopsy

Guanbo Wang, Jia‐Wei Li, Qiliang Wu, Bodeng Wu, Xin Zhang, Yibin Wang, Jiaming Chen, Quan Zhong, Bo Ma, Xiaohua Tan, Zhenxun Wang
article en
2 citations

Abstract

<b>Background:</b> Hepatocellular carcinoma (HCC) lacks effective early diagnostic biomarkers. Identifying extracellular vesicles (EVs)-associated biomarkers for early HCC detection in HCC progression is precise and critical. <b>Methods:</b> Databases, tissue microarrays (TMA) were used to identify Fascin-1 as a candidate target for HCC, EVs isolated from tumoral and adjacent tissues. The tumor cells were transfected with lentivirus to obtain the engineered EVs. <b>Results:</b> Fascin-1-enriched EVs promoted HCC cell migration and induced cytoskeleton reorganization <i>in vitro</i>. Importantly, quantifying Fascin-1-positive EVs (Fascin-1<sup>+</sup>EVs) in patient plasma by nanoflow cytometry (nFCM) demonstrated high diagnostic performance (AUC=0.8925, 95%CI: 0.7959-0.9891) for discriminating advanced stage from early stage of HCC patients and healthy individuals. <b>Conclusion:</b> Our findings highlight the potential of Fascin-1<sup>+</sup>EVs as a novel non-invasive biomarker for early HCC detection, and quantitative Fascin-1<sup>+</sup>EV analysis by nanoflow cytometry provides a promising approach for HCC diagnosis.

International Journal of Medical SciencesVol. 22(7)
Guangdong Medical College (CN), Second Affiliated Hospital of Guangzhou Medical University (CN), Nanfang Hospital (CN), Cell Technology (China) (HK), Southern Medical University (CN), Guangzhou Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Nanfang Hospital
Zero hunger
Openalex Percentile: Top 19%
Extracellular vesicles in disease
1.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.