Diagnosis of lung cancer in individuals with solitary pulmonary nodules by plasma microRNA biomarkers

<p>Abstract</p> <p>Background</p> <p>Making a definitive preoperative diagnosis of solitary pulmonary nodules (SPNs) found by CT has been a clinical challenge. We previously demonstrated that microRNAs (miRNAs) could be used as biomarkers for lung cancer diagnosis. Here...

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Main Authors: Cai Ling, Li Ruiyun, Guarnera Maria A, Yu Lei, Liao Jipei, Zhang Howard, Todd Nevins W, Liu Ziling, Shen Jun, Zhan Min, Jiang Feng
Format: Article
Language:English
Published: BMC 2011-08-01
Series:BMC Cancer
Online Access:http://www.biomedcentral.com/1471-2407/11/374
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spelling doaj-6b59799285df458692c3910b26c51dfd2020-11-25T01:55:48ZengBMCBMC Cancer1471-24072011-08-0111137410.1186/1471-2407-11-374Diagnosis of lung cancer in individuals with solitary pulmonary nodules by plasma microRNA biomarkersCai LingLi RuiyunGuarnera Maria AYu LeiLiao JipeiZhang HowardTodd Nevins WLiu ZilingShen JunZhan MinJiang Feng<p>Abstract</p> <p>Background</p> <p>Making a definitive preoperative diagnosis of solitary pulmonary nodules (SPNs) found by CT has been a clinical challenge. We previously demonstrated that microRNAs (miRNAs) could be used as biomarkers for lung cancer diagnosis. Here we investigate whether plasma microRNAs are useful in identifying lung cancer among individuals with CT-detected SPNs.</p> <p>Methods</p> <p>By using quantitative reverse transcriptase PCR analysis, we first determine plasma expressions of five miRNAs in a training set of 32 patients with malignant SPNs, 33 subjects with benign SPNs, and 29 healthy smokers to define a panel of miRNAs that has high diagnostic efficiency for lung cancer. We then validate the miRNA panel in a testing set of 76 patients with malignant SPNs and 80 patients with benign SPNs.</p> <p>Results</p> <p>In the training set, miR-21 and miR-210 display higher plasma expression levels, whereas miR-486-5p has lower expression level in patients with malignant SPNs, as compared to subjects with benign SPNs and healthy controls (all P ≤ 0.001). A logistic regression model with the best prediction was built on the basis of miR-21, miR-210, and miR-486-5p. The three miRNAs used in combination produced the area under receiver operating characteristic curve at 0.86 in distinguishing lung tumors from benign SPNs with 75.00% sensitivity and 84.95% specificity. Validation of the miRNA panel in the testing set confirms their diagnostic value that yields significant improvement over any single one.</p> <p>Conclusions</p> <p>The plasma miRNAs provide potential circulating biomarkers for noninvasively diagnosing lung cancer among individuals with SPNs, and could be further evaluated in clinical trials.</p> http://www.biomedcentral.com/1471-2407/11/374
collection DOAJ
language English
format Article
sources DOAJ
author Cai Ling
Li Ruiyun
Guarnera Maria A
Yu Lei
Liao Jipei
Zhang Howard
Todd Nevins W
Liu Ziling
Shen Jun
Zhan Min
Jiang Feng
spellingShingle Cai Ling
Li Ruiyun
Guarnera Maria A
Yu Lei
Liao Jipei
Zhang Howard
Todd Nevins W
Liu Ziling
Shen Jun
Zhan Min
Jiang Feng
Diagnosis of lung cancer in individuals with solitary pulmonary nodules by plasma microRNA biomarkers
BMC Cancer
author_facet Cai Ling
Li Ruiyun
Guarnera Maria A
Yu Lei
Liao Jipei
Zhang Howard
Todd Nevins W
Liu Ziling
Shen Jun
Zhan Min
Jiang Feng
author_sort Cai Ling
title Diagnosis of lung cancer in individuals with solitary pulmonary nodules by plasma microRNA biomarkers
title_short Diagnosis of lung cancer in individuals with solitary pulmonary nodules by plasma microRNA biomarkers
title_full Diagnosis of lung cancer in individuals with solitary pulmonary nodules by plasma microRNA biomarkers
title_fullStr Diagnosis of lung cancer in individuals with solitary pulmonary nodules by plasma microRNA biomarkers
title_full_unstemmed Diagnosis of lung cancer in individuals with solitary pulmonary nodules by plasma microRNA biomarkers
title_sort diagnosis of lung cancer in individuals with solitary pulmonary nodules by plasma microrna biomarkers
publisher BMC
series BMC Cancer
issn 1471-2407
publishDate 2011-08-01
description <p>Abstract</p> <p>Background</p> <p>Making a definitive preoperative diagnosis of solitary pulmonary nodules (SPNs) found by CT has been a clinical challenge. We previously demonstrated that microRNAs (miRNAs) could be used as biomarkers for lung cancer diagnosis. Here we investigate whether plasma microRNAs are useful in identifying lung cancer among individuals with CT-detected SPNs.</p> <p>Methods</p> <p>By using quantitative reverse transcriptase PCR analysis, we first determine plasma expressions of five miRNAs in a training set of 32 patients with malignant SPNs, 33 subjects with benign SPNs, and 29 healthy smokers to define a panel of miRNAs that has high diagnostic efficiency for lung cancer. We then validate the miRNA panel in a testing set of 76 patients with malignant SPNs and 80 patients with benign SPNs.</p> <p>Results</p> <p>In the training set, miR-21 and miR-210 display higher plasma expression levels, whereas miR-486-5p has lower expression level in patients with malignant SPNs, as compared to subjects with benign SPNs and healthy controls (all P ≤ 0.001). A logistic regression model with the best prediction was built on the basis of miR-21, miR-210, and miR-486-5p. The three miRNAs used in combination produced the area under receiver operating characteristic curve at 0.86 in distinguishing lung tumors from benign SPNs with 75.00% sensitivity and 84.95% specificity. Validation of the miRNA panel in the testing set confirms their diagnostic value that yields significant improvement over any single one.</p> <p>Conclusions</p> <p>The plasma miRNAs provide potential circulating biomarkers for noninvasively diagnosing lung cancer among individuals with SPNs, and could be further evaluated in clinical trials.</p>
url http://www.biomedcentral.com/1471-2407/11/374
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