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CD5L as an Extracellular Vesicle-Derived Biomarker for Liquid Biopsy of Lung Cancer
Cancer screening and diagnosis can be achieved by analyzing specific molecules within serum-derived extracellular vesicles (EVs). This study sought to profile EV-derived proteins to identify potential lung cancer biomarkers. EVs were isolated from 80 serum samples from healthy individuals and cancer...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067192/ https://www.ncbi.nlm.nih.gov/pubmed/33808296 http://dx.doi.org/10.3390/diagnostics11040620 |
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author | Choi, Eun-Sook Faruque, Hasan Al Kim, Jung-Hee Kim, Kook Jin Choi, Jin Eun Kim, Bo A. Kim, Bora Kim, Ye Jin Woo, Min Hee Park, Jae Yong Hur, Keun Lee, Mi-Young Kim, Dong Su Lee, Shin Yup Kim, Eunjoo |
author_facet | Choi, Eun-Sook Faruque, Hasan Al Kim, Jung-Hee Kim, Kook Jin Choi, Jin Eun Kim, Bo A. Kim, Bora Kim, Ye Jin Woo, Min Hee Park, Jae Yong Hur, Keun Lee, Mi-Young Kim, Dong Su Lee, Shin Yup Kim, Eunjoo |
author_sort | Choi, Eun-Sook |
collection | PubMed |
description | Cancer screening and diagnosis can be achieved by analyzing specific molecules within serum-derived extracellular vesicles (EVs). This study sought to profile EV-derived proteins to identify potential lung cancer biomarkers. EVs were isolated from 80 serum samples from healthy individuals and cancer patients via polyethylene glycol (PEG)-based precipitation and immunoaffinity separation using antibodies against CD9, CD63, CD81, and EpCAM. Proteomic analysis was performed using 2-D gel electrophoresis and matrix-assisted laser desorption ionization–time-of-flight mass spectrometry (MALDI–TOF MS). The expression of proteins that were differentially upregulated in the EVs or tissue of lung cancer samples was validated by Western blotting. The area under the curve (AUC) was calculated to assess the predictability of each differentially expressed protein (DEP) for lung cancer. A total of 55 upregulated protein spots were selected, seven of which (CD5L, CLEC3B, ITIH4, SERFINF1, SAA4, SERFINC1, and C20ORF3) were found to be expressed at high levels in patient-derived EVs by Western blotting. Meanwhile, only the expression of EV CD5L correlated with that in cancer tissues. CD5L also demonstrated the highest AUC value (0.943) and was found to be the core regulator in a pathway related to cell dysfunction. Cumulatively, these results show that EV-derived CD5L may represent a potential biomarker—detected via a liquid biopsy—for the noninvasive diagnosis of lung cancer. |
format | Online Article Text |
id | pubmed-8067192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80671922021-04-25 CD5L as an Extracellular Vesicle-Derived Biomarker for Liquid Biopsy of Lung Cancer Choi, Eun-Sook Faruque, Hasan Al Kim, Jung-Hee Kim, Kook Jin Choi, Jin Eun Kim, Bo A. Kim, Bora Kim, Ye Jin Woo, Min Hee Park, Jae Yong Hur, Keun Lee, Mi-Young Kim, Dong Su Lee, Shin Yup Kim, Eunjoo Diagnostics (Basel) Article Cancer screening and diagnosis can be achieved by analyzing specific molecules within serum-derived extracellular vesicles (EVs). This study sought to profile EV-derived proteins to identify potential lung cancer biomarkers. EVs were isolated from 80 serum samples from healthy individuals and cancer patients via polyethylene glycol (PEG)-based precipitation and immunoaffinity separation using antibodies against CD9, CD63, CD81, and EpCAM. Proteomic analysis was performed using 2-D gel electrophoresis and matrix-assisted laser desorption ionization–time-of-flight mass spectrometry (MALDI–TOF MS). The expression of proteins that were differentially upregulated in the EVs or tissue of lung cancer samples was validated by Western blotting. The area under the curve (AUC) was calculated to assess the predictability of each differentially expressed protein (DEP) for lung cancer. A total of 55 upregulated protein spots were selected, seven of which (CD5L, CLEC3B, ITIH4, SERFINF1, SAA4, SERFINC1, and C20ORF3) were found to be expressed at high levels in patient-derived EVs by Western blotting. Meanwhile, only the expression of EV CD5L correlated with that in cancer tissues. CD5L also demonstrated the highest AUC value (0.943) and was found to be the core regulator in a pathway related to cell dysfunction. Cumulatively, these results show that EV-derived CD5L may represent a potential biomarker—detected via a liquid biopsy—for the noninvasive diagnosis of lung cancer. MDPI 2021-03-30 /pmc/articles/PMC8067192/ /pubmed/33808296 http://dx.doi.org/10.3390/diagnostics11040620 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Choi, Eun-Sook Faruque, Hasan Al Kim, Jung-Hee Kim, Kook Jin Choi, Jin Eun Kim, Bo A. Kim, Bora Kim, Ye Jin Woo, Min Hee Park, Jae Yong Hur, Keun Lee, Mi-Young Kim, Dong Su Lee, Shin Yup Kim, Eunjoo CD5L as an Extracellular Vesicle-Derived Biomarker for Liquid Biopsy of Lung Cancer |
title | CD5L as an Extracellular Vesicle-Derived Biomarker for Liquid Biopsy of Lung Cancer |
title_full | CD5L as an Extracellular Vesicle-Derived Biomarker for Liquid Biopsy of Lung Cancer |
title_fullStr | CD5L as an Extracellular Vesicle-Derived Biomarker for Liquid Biopsy of Lung Cancer |
title_full_unstemmed | CD5L as an Extracellular Vesicle-Derived Biomarker for Liquid Biopsy of Lung Cancer |
title_short | CD5L as an Extracellular Vesicle-Derived Biomarker for Liquid Biopsy of Lung Cancer |
title_sort | cd5l as an extracellular vesicle-derived biomarker for liquid biopsy of lung cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067192/ https://www.ncbi.nlm.nih.gov/pubmed/33808296 http://dx.doi.org/10.3390/diagnostics11040620 |
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