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Proteomic analysis of small extracellular vesicles unique to cervical cancer
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Document Title
Proteomic analysis of small extracellular vesicles unique to cervical cancer
Author
Molika P. Leetanaporn K. Rungkamoltip P. Roytrakul S. Hanprasertpong J. Navakanitworakul R.
Affiliations
Department of Biomedical Sciences and Biomedical Engineering Faculty of Medicine Prince of Songkla University Songkhla Thailand; National Center for Genetic Engineering and Biotechnology (BIOTEC) National Science and Technology Development Agency Pathum Thani Thailand; Department of Research and Medical Innovation Faculty of Medicine Vajira Hospital Navamindradhiraj University Bangkok Thailand
Type
Article
Source Title
Translational Cancer Research
ISSN
2218676X
Year
2023
Volume
12
Issue
11
Page
3113-3128
Open Access
All Open Access Gold Green
Publisher
AME Publishing Company
DOI
10.21037/tcr-23-517
Abstract
Background: Cervical cancer (CC) is the fourth most common cancer in females worldwide. Existing biomarkers for CC such as squamous cell carcinoma antigens show low specificity. Hence a novel biomarker for the diagnosis of CC is required. Through proteomic analysis this study aimed to distinguish between the small extracellular vesicle (sEV) protein profiles of healthy controls (HC) and CC sera and to identify potential sEV proteins that can serve as biomarkers for CC diagnosis. Methods: The number and size distribution of sEVs in HC and CC sera were measured using nanoparticle tracking analysis. Differential ultracentrifugation combined with size-exclusion chromatography was used to isolate and purify sEVs. Liquid chromatography-tandem mass spectrometry was used to identify and compare the protein profiles between patients with CC and HC. Differentially expressed extracellular vesicle (EV) proteins were validated using The Cancer Genome Atlas database. Results: The EV particle concentration in patients with CC was marginally higher than that in HC. Proteomic and functional protein analyses revealed a difference in the EV protein profiles between HC and CC and identified proteins that can serve as biomarkers for CC. Conclusions: This study provides insights into the potential of sEVs as less invasive biomarkers for CC diagnosis. Validation with a well-designed cohort should be performed to determine the clinical diagnostic value of specific protein markers for CC. ? Translational Cancer Research. All rights reserved.
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Knowledge Taxonomy Level 3
License
CC BY-NC-ND
Rights
Translational Cancer Research
Publication Source
WOS