Exosomal miRs in Lung Cancer: A Mathematical Model.
Lung cancer, primarily non-small-cell lung cancer (NSCLC), is the leading cause of cancer deaths in the United States and worldwide. While early detection significantly improves five-year survival, there are no reliable diagnostic tools for early detection. Several exosomal microRNAs (miRs) are over...
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Format: | Article |
Language: | English |
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Public Library of Science (PLoS)
2016-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5176278?pdf=render |
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author | Xiulan Lai Avner Friedman |
author_facet | Xiulan Lai Avner Friedman |
author_sort | Xiulan Lai |
collection | DOAJ |
description | Lung cancer, primarily non-small-cell lung cancer (NSCLC), is the leading cause of cancer deaths in the United States and worldwide. While early detection significantly improves five-year survival, there are no reliable diagnostic tools for early detection. Several exosomal microRNAs (miRs) are overexpressed in NSCLC, and have been suggested as potential biomarkers for early detection. The present paper develops a mathematical model for early stage of NSCLC with emphasis on the role of the three highest overexpressed miRs, namely miR-21, miR-205 and miR-155. Simulations of the model provide quantitative relationships between the tumor volume and the total mass of each of the above miRs in the tumor. Because of the positive correlation between these miRs in the tumor tissue and in the blood, the results of the paper may be viewed as a first step toward establishing a combination of miRs 21, 205, 155 and possibly other miRs as serum biomarkers for early detection of NSCLC. |
first_indexed | 2024-12-23T19:33:13Z |
format | Article |
id | doaj.art-31d900ef43494b5a9cbbb1c4f2554dd0 |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-12-23T19:33:13Z |
publishDate | 2016-01-01 |
publisher | Public Library of Science (PLoS) |
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series | PLoS ONE |
spelling | doaj.art-31d900ef43494b5a9cbbb1c4f2554dd02022-12-21T17:33:51ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011112e016770610.1371/journal.pone.0167706Exosomal miRs in Lung Cancer: A Mathematical Model.Xiulan LaiAvner FriedmanLung cancer, primarily non-small-cell lung cancer (NSCLC), is the leading cause of cancer deaths in the United States and worldwide. While early detection significantly improves five-year survival, there are no reliable diagnostic tools for early detection. Several exosomal microRNAs (miRs) are overexpressed in NSCLC, and have been suggested as potential biomarkers for early detection. The present paper develops a mathematical model for early stage of NSCLC with emphasis on the role of the three highest overexpressed miRs, namely miR-21, miR-205 and miR-155. Simulations of the model provide quantitative relationships between the tumor volume and the total mass of each of the above miRs in the tumor. Because of the positive correlation between these miRs in the tumor tissue and in the blood, the results of the paper may be viewed as a first step toward establishing a combination of miRs 21, 205, 155 and possibly other miRs as serum biomarkers for early detection of NSCLC.http://europepmc.org/articles/PMC5176278?pdf=render |
spellingShingle | Xiulan Lai Avner Friedman Exosomal miRs in Lung Cancer: A Mathematical Model. PLoS ONE |
title | Exosomal miRs in Lung Cancer: A Mathematical Model. |
title_full | Exosomal miRs in Lung Cancer: A Mathematical Model. |
title_fullStr | Exosomal miRs in Lung Cancer: A Mathematical Model. |
title_full_unstemmed | Exosomal miRs in Lung Cancer: A Mathematical Model. |
title_short | Exosomal miRs in Lung Cancer: A Mathematical Model. |
title_sort | exosomal mirs in lung cancer a mathematical model |
url | http://europepmc.org/articles/PMC5176278?pdf=render |
work_keys_str_mv | AT xiulanlai exosomalmirsinlungcanceramathematicalmodel AT avnerfriedman exosomalmirsinlungcanceramathematicalmodel |