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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Main Authors: Xiulan Lai, Avner Friedman
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
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.
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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