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- Publisher Website: 10.3390/cells10092179
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- PMID: 34571828
- WOS: WOS:000699062500001
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Article: Proteomic analysis of circulating extracellular vesicles identifies potential biomarkers for lymph node metastasis in oral tongue squamous cell carcinoma
Title | Proteomic analysis of circulating extracellular vesicles identifies potential biomarkers for lymph node metastasis in oral tongue squamous cell carcinoma |
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Authors | |
Keywords | extracellular vesicles oral tongue squamous cell carcinoma lymph node metastases proteomics biomarkers |
Issue Date | 2021 |
Publisher | MDPI AG. The Journal's web site is located at http://www.mdpi.com/journal/cells |
Citation | Cells, 2021, v. 10 n. 9, p. article no. 2179 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/307753 |
ISSN | 2023 Impact Factor: 5.1 2023 SCImago Journal Rankings: 1.547 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Qu, X | - |
dc.contributor.author | Leung, TCN | - |
dc.contributor.author | Ngai, SM | - |
dc.contributor.author | Tsai, SN | - |
dc.contributor.author | Thakur, A | - |
dc.contributor.author | Li, WK | - |
dc.contributor.author | Lee, Y | - |
dc.contributor.author | Leung, L | - |
dc.contributor.author | Ng, TH | - |
dc.contributor.author | Yam, J | - |
dc.contributor.author | Lan, L | - |
dc.contributor.author | Lau, EHL | - |
dc.contributor.author | Wong, EWY | - |
dc.contributor.author | Chan, JYK | - |
dc.contributor.author | Meehan, K | - |
dc.date.accessioned | 2021-11-12T13:37:19Z | - |
dc.date.available | 2021-11-12T13:37:19Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Cells, 2021, v. 10 n. 9, p. article no. 2179 | - |
dc.identifier.issn | 2073-4409 | - |
dc.identifier.uri | http://hdl.handle.net/10722/307753 | - |
dc.description.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. | - |
dc.language | eng | - |
dc.publisher | MDPI AG. The Journal's web site is located at http://www.mdpi.com/journal/cells | - |
dc.relation.ispartof | Cells | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | extracellular vesicles | - |
dc.subject | oral tongue squamous cell carcinoma | - |
dc.subject | lymph node metastases | - |
dc.subject | proteomics | - |
dc.subject | biomarkers | - |
dc.title | Proteomic analysis of circulating extracellular vesicles identifies potential biomarkers for lymph node metastasis in oral tongue squamous cell carcinoma | - |
dc.type | Article | - |
dc.identifier.email | Ng, TH: tonyng93@hku.hk | - |
dc.identifier.email | Yam, J: judyyam@pathology.hku.hk | - |
dc.identifier.authority | Yam, J=rp00468 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3390/cells10092179 | - |
dc.identifier.pmid | 34571828 | - |
dc.identifier.pmcid | PMC8468562 | - |
dc.identifier.scopus | eid_2-s2.0-85115902320 | - |
dc.identifier.hkuros | 329578 | - |
dc.identifier.volume | 10 | - |
dc.identifier.issue | 9 | - |
dc.identifier.spage | article no. 2179 | - |
dc.identifier.epage | article no. 2179 | - |
dc.identifier.isi | WOS:000699062500001 | - |
dc.publisher.place | Switzerland | - |