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Proteomic Analysis of Circulating Extracellular Vesicles Identifies Potential Biomarkers for Lymph Node Metastasis in Oral Tongue Squamous Cell Carcinoma

Authors :
Xinyu Qu
Thomas C. N. Leung
Sai-Ming Ngai
Sau-Na Tsai
Abhimanyu Thakur
Wing-Kar Li
Youngjin Lee
Leanne Leung
Tung-Him Ng
Judy Yam
Linlin Lan
Eric H. L. Lau
Eddy W. Y. Wong
Jason Y. K. Chan
Katie Meehan
Source :
Cells, Vol 10, Iss 9, p 2179 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Lymph node metastasis is the most reliable indicator of a poor prognosis for patients with oral tongue cancers. Currently, there are no biomarkers to predict whether a cancer will spread in the future if it has not already spread at the time of diagnosis. The aim of this study was to quantitatively profile the proteomes of extracellular vesicles (EVs) isolated from blood samples taken from patients with oral tongue squamous cell carcinoma with and without lymph node involvement and non-cancer controls. EVs were enriched using size exclusion chromatography (SEC) from pooled plasma samples of patients with non-nodal and nodal oral tongue squamous cell carcinoma (OTSCC) and non-cancer controls. Protein cargo was quantitatively profiled using isobaric labelling (iTRAQ) and two-dimensional high-performance liquid chromatography followed by tandem mass spectrometry. We identified 208 EV associated proteins and, after filtering, generated a short list of 136 proteins. Over 85% of the EV-associated proteins were associated with the GO cellular compartment term “extracellular exosome”. Comparisons between non-cancer controls and oral tongue squamous cell carcinoma with and without lymph node involvement revealed 43 unique candidate EV-associated proteins with deregulated expression patterns. The shortlisted EV associated proteins described here may be useful discriminatory biomarkers for differentiating OTSCC with and without nodal disease or non-cancer controls.

Details

Language :
English
ISSN :
20734409
Volume :
10
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Cells
Publication Type :
Academic Journal
Accession number :
edsdoj.84b30ef64dc241c0984d28dede38612f
Document Type :
article
Full Text :
https://doi.org/10.3390/cells10092179