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Analysis of small nucleolar RNAs in sputum for lung cancer diagnosis

Molecular analysis of sputum presents a noninvasive approach for diagnosis of lung cancer. We have shown that dysregulation of small nucleolar RNAs (snoRNAs) plays a vital role in lung tumorigenesis. We have also identified six snoRNAs whose changes are associated with lung cancer. Here we investiga...

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Autores principales: Su, Jian, Liao, Jeipi, Gao, Lu, Shen, Jun, Guarnera, Maria A., Zhan, Min, Fang, HongBin, Stass, Sanford A., Jiang, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4868676/
https://www.ncbi.nlm.nih.gov/pubmed/26246471
http://dx.doi.org/10.18632/oncotarget.4219
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author Su, Jian
Liao, Jeipi
Gao, Lu
Shen, Jun
Guarnera, Maria A.
Zhan, Min
Fang, HongBin
Stass, Sanford A.
Jiang, Feng
author_facet Su, Jian
Liao, Jeipi
Gao, Lu
Shen, Jun
Guarnera, Maria A.
Zhan, Min
Fang, HongBin
Stass, Sanford A.
Jiang, Feng
author_sort Su, Jian
collection PubMed
description Molecular analysis of sputum presents a noninvasive approach for diagnosis of lung cancer. We have shown that dysregulation of small nucleolar RNAs (snoRNAs) plays a vital role in lung tumorigenesis. We have also identified six snoRNAs whose changes are associated with lung cancer. Here we investigated if analysis of the snoRNAs in sputum could provide a potential tool for diagnosis of lung cancer. Using qRT-PCR, we determined expressions of the six snoRNAs in sputum of a training set of 59 lung cancer patients and 61 cancer-free smokers to develop a biomarker panel, which was validated in a testing set of 67 lung cancer patients and 69 cancer-free smokers for the diagnostic performance. The snoRNAs were robustly measurable in sputum. In the training set, a panel of two snoRNA biomarkers (snoRD66 and snoRD78) was developed, producing 74.58% sensitivity and 83.61% specificity for identifying lung cancer. The snoRNA biomarkers had a significantly higher sensitivity (74.58%) compared with sputum cytology (45.76%) (P < 0.05). The changes of the snoRNAs were not associated with stage and histology of lung cancer (All P >0.05). The performance of the biomarker panel was confirmed in the testing cohort. We report for the first time that sputum snoRNA biomarkers might be useful to improve diagnosis of lung cancer.
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spelling pubmed-48686762016-05-20 Analysis of small nucleolar RNAs in sputum for lung cancer diagnosis Su, Jian Liao, Jeipi Gao, Lu Shen, Jun Guarnera, Maria A. Zhan, Min Fang, HongBin Stass, Sanford A. Jiang, Feng Oncotarget Research Paper: Pathology Molecular analysis of sputum presents a noninvasive approach for diagnosis of lung cancer. We have shown that dysregulation of small nucleolar RNAs (snoRNAs) plays a vital role in lung tumorigenesis. We have also identified six snoRNAs whose changes are associated with lung cancer. Here we investigated if analysis of the snoRNAs in sputum could provide a potential tool for diagnosis of lung cancer. Using qRT-PCR, we determined expressions of the six snoRNAs in sputum of a training set of 59 lung cancer patients and 61 cancer-free smokers to develop a biomarker panel, which was validated in a testing set of 67 lung cancer patients and 69 cancer-free smokers for the diagnostic performance. The snoRNAs were robustly measurable in sputum. In the training set, a panel of two snoRNA biomarkers (snoRD66 and snoRD78) was developed, producing 74.58% sensitivity and 83.61% specificity for identifying lung cancer. The snoRNA biomarkers had a significantly higher sensitivity (74.58%) compared with sputum cytology (45.76%) (P < 0.05). The changes of the snoRNAs were not associated with stage and histology of lung cancer (All P >0.05). The performance of the biomarker panel was confirmed in the testing cohort. We report for the first time that sputum snoRNA biomarkers might be useful to improve diagnosis of lung cancer. Impact Journals LLC 2015-05-20 /pmc/articles/PMC4868676/ /pubmed/26246471 http://dx.doi.org/10.18632/oncotarget.4219 Text en Copyright: © 2016 Su et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper: Pathology
Su, Jian
Liao, Jeipi
Gao, Lu
Shen, Jun
Guarnera, Maria A.
Zhan, Min
Fang, HongBin
Stass, Sanford A.
Jiang, Feng
Analysis of small nucleolar RNAs in sputum for lung cancer diagnosis
title Analysis of small nucleolar RNAs in sputum for lung cancer diagnosis
title_full Analysis of small nucleolar RNAs in sputum for lung cancer diagnosis
title_fullStr Analysis of small nucleolar RNAs in sputum for lung cancer diagnosis
title_full_unstemmed Analysis of small nucleolar RNAs in sputum for lung cancer diagnosis
title_short Analysis of small nucleolar RNAs in sputum for lung cancer diagnosis
title_sort analysis of small nucleolar rnas in sputum for lung cancer diagnosis
topic Research Paper: Pathology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4868676/
https://www.ncbi.nlm.nih.gov/pubmed/26246471
http://dx.doi.org/10.18632/oncotarget.4219
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