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Identification of a Biomarker Panel in Extracellular Vesicles Derived From Non-Small Cell Lung Cancer (NSCLC) Through Proteomic Analysis and Machine Learning.

作者信息

Yuan Ye, Jiang Hai, Xue Rui, Feng Xiao-Jun, Liu Bi-Feng, Li Lian, Peng Bo, Ren Chen-Shuo, Li Shi-Min, Li Na, Li Min, Wang Dian-Bing, Zhang Xian-En

机构信息

College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, P. R. China.

Key Laboratory of Biomacromolecules (CAS), Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.

出版信息

J Extracell Vesicles. 2025 May;14(5):e70078. doi: 10.1002/jev2.70078.


DOI:10.1002/jev2.70078
PMID:40366616
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12077270/
Abstract

Antigen fingerprint profiling of tumour-derived extracellular vesicles (TDEVs) in the body fluids is a promising strategy for identifying tumour biomarkers. In this study, proteomic and immunological assays reveal significantly higher CD155 levels in plasma extracellular vesicles (EVs) from patients with non-small cell lung cancer (NSCLC) than from healthy individuals. Utilizing CD155 as a bait protein on the EV membrane, CD155+ TDEVs are enriched from NSCLC patient plasma EVs. In the discovery cohort, 281 differentially expressed proteins are identified in TDEVs of the NSCLC group compared with the healthy control group. In the verification cohort, 49 candidate biomarkers are detected using targeted proteomic analysis. Of these, a biomarker panel of seven frequently and stably detected proteins-MVP, GYS1, SERPINA3, HECTD3, SERPING1, TPM4, and APOD-demonstrates good diagnostic performance, achieving an area under the curve (AUC) of 1.0 with 100% sensitivity and specificity in receiver operating characteristic (ROC) curve analysis, and 92.3% sensitivity and 88.9% specificity in confusion matrix analysis. Western blotting results confirm upregulation trends for MVP, GYS1, SERPINA3, HECTD3, SERPING1 and APOD, and TPM4 is downregulated in EVs of NSCLC patients compared with healthy individuals. These findings highlight the potential of this biomarker panel for the clinical diagnosis of NSCLC.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e722/12077270/555f3c46f9eb/JEV2-14-e70078-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e722/12077270/ff13cae0bfc2/JEV2-14-e70078-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e722/12077270/13fc5c9f39b3/JEV2-14-e70078-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e722/12077270/e2d1504cd975/JEV2-14-e70078-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e722/12077270/25725ee255a0/JEV2-14-e70078-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e722/12077270/34d020307ba2/JEV2-14-e70078-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e722/12077270/9117e4115737/JEV2-14-e70078-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e722/12077270/555f3c46f9eb/JEV2-14-e70078-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e722/12077270/ff13cae0bfc2/JEV2-14-e70078-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e722/12077270/13fc5c9f39b3/JEV2-14-e70078-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e722/12077270/e2d1504cd975/JEV2-14-e70078-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e722/12077270/25725ee255a0/JEV2-14-e70078-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e722/12077270/34d020307ba2/JEV2-14-e70078-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e722/12077270/9117e4115737/JEV2-14-e70078-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e722/12077270/555f3c46f9eb/JEV2-14-e70078-g002.jpg

相似文献

[1]
Identification of a Biomarker Panel in Extracellular Vesicles Derived From Non-Small Cell Lung Cancer (NSCLC) Through Proteomic Analysis and Machine Learning.

J Extracell Vesicles. 2025-5

[2]
Tumor-derived exosomal proteins as diagnostic biomarkers in non-small cell lung cancer.

Cancer Sci. 2018-12-6

[3]
Diagnostic value of microRNA-200 expression in peripheral blood-derived extracellular vesicles in early-stage non-small cell lung cancer.

Clin Exp Med. 2024-9-9

[4]
Identification of GlcNAcylated alpha-1-antichymotrypsin as an early biomarker in human non-small-cell lung cancer by quantitative proteomic analysis with two lectins.

Br J Cancer. 2016-3-1

[5]
Integrative proteomic profiling of tumor and plasma extracellular vesicles identifies a diagnostic biomarker panel for colorectal cancer.

Cell Rep Med. 2025-5-20

[6]
Unique Protein Profiles of Extracellular Vesicles as Diagnostic Biomarkers for Early and Advanced Non-Small Cell Lung Cancer.

Proteomics. 2019-5-27

[7]
FAM3C in circulating tumor-derived extracellular vesicles promotes non-small cell lung cancer growth in secondary sites.

Theranostics. 2023

[8]
Proteomic Signature of Extracellular Vesicles for Lung Cancer Recognition.

Molecules. 2021-10-12

[9]
Serum lipidomic biomarkers for non-small cell lung cancer in nonsmoking female patients.

J Pharm Biomed Anal. 2020-6-5

[10]
Discovery of a diagnostic biomarker for colon cancer through proteomic profiling of small extracellular vesicles.

BMC Cancer. 2018-11-1

本文引用的文献

[1]
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Cell. 2024-8-22

[2]
Construction of AlGaN/GaN high-electron-mobility transistor-based biosensor for ultrasensitive detection of SARS-CoV-2 spike proteins and virions.

Biosens Bioelectron. 2024-8-1

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Incidence and Mortality of Cancers in Female Genital Organs - China, 2022.

China CDC Wkly. 2024-3-8

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Comput Struct Biotechnol J. 2024-2-24

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Hemin blocks TIGIT/PVR interaction and induces ferroptosis to elicit synergistic effects of cancer immunotherapy.

Sci China Life Sci. 2024-5

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Sex-biased adaptation shapes uniparental gene pools in Tibetans.

Sci China Life Sci. 2024-3

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Oncogenesis. 2024-1-25

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Identification and validation of a disulfidptosis-related genes prognostic signature in lung adenocarcinoma.

Heliyon. 2023-12-19

[10]
MIBlood-EV: Minimal information to enhance the quality and reproducibility of blood extracellular vesicle research.

J Extracell Vesicles. 2023-12

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