Liquid biopsy-derived extracellular vesicle protein biomarkers for diagnosis and prognostic assessment of lung squamous cell carcinoma

The novel nanomaterial NaY effectively enriches EVs from plasma. Utilizing plasma EV biomarkers, the diagnostic model demonstrates strong discriminative ability between benign and malignant pulmonary nodules in patients.

Authors

Institutions

Publication Details

Journal
Cancer Cell International
Published
2025-04-24
DOI
https://doi.org/10.1186/s12935-025-03792-0
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

Liquid biopsy-derived extracellular vesicle protein biomarkers for diagnosis and prognostic assessment of lung squamous cell carcinoma

Shujun Cheng, Ruiqi Zheng, Na Zhao, Xin Dong et al.
2 citations
Cancer Cell International
Extracellular vesicles in disease
1.61
article

Liquid biopsy-derived extracellular vesicle protein biomarkers for diagnosis and prognostic assessment of lung squamous cell carcinoma

Shujun Cheng, Ruiqi Zheng, Na Zhao, Xin Dong, Yutao Liu, Jie Li, Yaru Wang, Ting Xiao, Lei Song, Sheng Ma, Congcong Ma, Xiao Zhi
article en
2 citations

Abstract

The novel nanomaterial NaY effectively enriches EVs from plasma. Utilizing plasma EV biomarkers, the diagnostic model demonstrates strong discriminative ability between benign and malignant pulmonary nodules in patients.

Cancer Cell InternationalVol. 25(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), National Cancer Center (US), Tianjin Medical University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 18%
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.