Serum miR-339-3p as a potential diagnostic marker for non-small cell lung cancer
Objective: MicroRNA (miRNA), a short noncoding RNA, is claimed to be a potential blood-based biomarker. We aimed to identify and evaluate miRNAs as diagnostic biomarkers for non-small cell lung cancer (NSCLC). Methods: Profiles of 745 miRNAs were screened in the serum of 8 patients with NSCLC and 8...
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China Anti-Cancer Association
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doaj-a9ae4ba1796c4397b5e0563167e10a782020-11-25T02:25:26ZengChina Anti-Cancer AssociationCancer Biology & Medicine2095-39412020-08-0117365266310.20892/j.issn.2095-3941.2020.0063Serum miR-339-3p as a potential diagnostic marker for non-small cell lung cancerKeson Trakunram0Pichitpon Chaniad1Sarayut Lucien Geater2Warangkana Keeratichananont3Voravit Chittithavorn4Sumonmal Uttayamakul5Suhaimee Buya6Pritsana Raungrut7Paramee Thongsuksai8Department of Biomedical Sciences, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, ThailandDepartment of Biomedical Sciences, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, ThailandDepartment of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, ThailandDepartment of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, ThailandDepartment of Surgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, ThailandBamrasnaradura Infectious Diseases Institute, Nonthaburi 11000, ThailandMedical Data Center for Research and Innovation, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, ThailandDepartment of Biomedical Sciences, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, ThailandDepartment of Pathology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, ThailandObjective: MicroRNA (miRNA), a short noncoding RNA, is claimed to be a potential blood-based biomarker. We aimed to identify and evaluate miRNAs as diagnostic biomarkers for non-small cell lung cancer (NSCLC). Methods: Profiles of 745 miRNAs were screened in the serum of 8 patients with NSCLC and 8 age- and sex-matched controls using TaqMan low-density arrays (TLDAs) and validated in 25 patients with NSCLC and 30 with other lung diseases (OLs) as well as in 19 healthy persons (HPs). The diagnostic performance of the candidate miRNAs was assessed in 117 cases of NSCLC and 113 OLs using quantitative real-time polymerase chain reaction (qRT-PCR). Differences in miRNA expression between patients with NSCLC and controls were assessed using the Mann–Whitney U test. The area under receiver operating characteristic (ROC) curve (AUC) was obtained based on the logistic regression model. Results: Ten miRNAs were found to be differentially expressed between patients with NSCLC and controls, including miR-769, miR-339-3p, miR-339-5p, miR-519a, miR-1238, miR-99a#, miR-134, miR-604, miR-539, and miR-342. The expression of miR-339-3p was significantly higher in patients with NSCLC than in those with OLs (P < 0.001) and HPs (P = 0.020). ROC analysis revealed an miR-339-3p expression AUC of 0.616 [95% confidence interval (CI): 0.561–0.702]. The diagnostic prediction was increased (AUC = 0.706, 95% CI: 0.649–0.779) in the model combining miR-339-3p expression and other known risk factors (i.e., age, smoking status, and drinking status). Conclusions: MiR-339-3p was significantly upregulated in patients with NSCLC compared with participants without cancer, suggesting a diagnostic prediction value for high-risk individuals. Therefore, miR-339-3p expression could be a potential blood-based biomarker for NSCLC.http://www.cancerbiomed.org/index.php/cocr/article/view/1672biomarkerdiagnosismicrornanon-small cell lung cancerquantitative real-time polymerase chain reaction |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Keson Trakunram Pichitpon Chaniad Sarayut Lucien Geater Warangkana Keeratichananont Voravit Chittithavorn Sumonmal Uttayamakul Suhaimee Buya Pritsana Raungrut Paramee Thongsuksai |
spellingShingle |
Keson Trakunram Pichitpon Chaniad Sarayut Lucien Geater Warangkana Keeratichananont Voravit Chittithavorn Sumonmal Uttayamakul Suhaimee Buya Pritsana Raungrut Paramee Thongsuksai Serum miR-339-3p as a potential diagnostic marker for non-small cell lung cancer Cancer Biology & Medicine biomarker diagnosis microrna non-small cell lung cancer quantitative real-time polymerase chain reaction |
author_facet |
Keson Trakunram Pichitpon Chaniad Sarayut Lucien Geater Warangkana Keeratichananont Voravit Chittithavorn Sumonmal Uttayamakul Suhaimee Buya Pritsana Raungrut Paramee Thongsuksai |
author_sort |
Keson Trakunram |
title |
Serum miR-339-3p as a potential diagnostic marker for non-small cell lung cancer |
title_short |
Serum miR-339-3p as a potential diagnostic marker for non-small cell lung cancer |
title_full |
Serum miR-339-3p as a potential diagnostic marker for non-small cell lung cancer |
title_fullStr |
Serum miR-339-3p as a potential diagnostic marker for non-small cell lung cancer |
title_full_unstemmed |
Serum miR-339-3p as a potential diagnostic marker for non-small cell lung cancer |
title_sort |
serum mir-339-3p as a potential diagnostic marker for non-small cell lung cancer |
publisher |
China Anti-Cancer Association |
series |
Cancer Biology & Medicine |
issn |
2095-3941 |
publishDate |
2020-08-01 |
description |
Objective: MicroRNA (miRNA), a short noncoding RNA, is claimed to be a potential blood-based biomarker. We aimed to identify and evaluate miRNAs as diagnostic biomarkers for non-small cell lung cancer (NSCLC). Methods: Profiles of 745 miRNAs were screened in the serum of 8 patients with NSCLC and 8 age- and sex-matched controls using TaqMan low-density arrays (TLDAs) and validated in 25 patients with NSCLC and 30 with other lung diseases (OLs) as well as in 19 healthy persons (HPs). The diagnostic performance of the candidate miRNAs was assessed in 117 cases of NSCLC and 113 OLs using quantitative real-time polymerase chain reaction (qRT-PCR). Differences in miRNA expression between patients with NSCLC and controls were assessed using the Mann–Whitney U test. The area under receiver operating characteristic (ROC) curve (AUC) was obtained based on the logistic regression model. Results: Ten miRNAs were found to be differentially expressed between patients with NSCLC and controls, including miR-769, miR-339-3p, miR-339-5p, miR-519a, miR-1238, miR-99a#, miR-134, miR-604, miR-539, and miR-342. The expression of miR-339-3p was significantly higher in patients with NSCLC than in those with OLs (P < 0.001) and HPs (P = 0.020). ROC analysis revealed an miR-339-3p expression AUC of 0.616 [95% confidence interval (CI): 0.561–0.702]. The diagnostic prediction was increased (AUC = 0.706, 95% CI: 0.649–0.779) in the model combining miR-339-3p expression and other known risk factors (i.e., age, smoking status, and drinking status). Conclusions: MiR-339-3p was significantly upregulated in patients with NSCLC compared with participants without cancer, suggesting a diagnostic prediction value for high-risk individuals. Therefore, miR-339-3p expression could be a potential blood-based biomarker for NSCLC. |
topic |
biomarker diagnosis microrna non-small cell lung cancer quantitative real-time polymerase chain reaction |
url |
http://www.cancerbiomed.org/index.php/cocr/article/view/1672 |
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