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Small nucleolar RNA signatures as biomarkers for non-small-cell lung cancer

BACKGROUND: Non-small-cell lung cancer (NSCLC) is the leading cause of cancer death. Early detection of NSCLC will improve its outcome. The current techniques for NSCLC early detection are either invasive or have low accuracy. Molecular analyses of clinical specimens present promising diagnostic app...

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Autores principales: Liao, Jipei, Yu, Lei, Mei, Yuping, Guarnera, Maria, Shen, Jun, Li, Ruiyun, Liu, Zhenqiu, Jiang, Feng
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2919450/
https://www.ncbi.nlm.nih.gov/pubmed/20663213
http://dx.doi.org/10.1186/1476-4598-9-198
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author Liao, Jipei
Yu, Lei
Mei, Yuping
Guarnera, Maria
Shen, Jun
Li, Ruiyun
Liu, Zhenqiu
Jiang, Feng
author_facet Liao, Jipei
Yu, Lei
Mei, Yuping
Guarnera, Maria
Shen, Jun
Li, Ruiyun
Liu, Zhenqiu
Jiang, Feng
author_sort Liao, Jipei
collection PubMed
description BACKGROUND: Non-small-cell lung cancer (NSCLC) is the leading cause of cancer death. Early detection of NSCLC will improve its outcome. The current techniques for NSCLC early detection are either invasive or have low accuracy. Molecular analyses of clinical specimens present promising diagnostic approaches. Non-coding RNAs (ncRNAs) play an important role in tumorigenesis and could be developed as biomarkers for cancer. Here we aimed to develop small nucleolar RNAs (snoRNAs), a common class of ncRNAs, as biomarkers for NSCLC early detection. The study comprised three phases: (1) profiling snoRNA signatures in 22 NSCLC tissues and matched noncancerous lung tissues by GeneChip Array, (2) validating expressions of the signatures by RT-qPCR in the tissues, and (3) evaluating plasma expressions of the snoRNAs in 37 NSCLC patients, 26 patients with chronic obstructive pulmonary disease (COPD), and 22 healthy subjects. RESULTS: In the surgical tissues, six snoRNAs were identified, which were overexpressed in all tumour tissues compared with their normal counterparts. The overexpressions of the genes in tumors were confirmed by RT-qPCR. The snoRNAs were stably present and reliably detectable in plasma. Of the six genes, three (SNORD33, SNORD66 and SNORD76) displayed higher plasma expressions in NSCLC patients compared with the cancer-free individuals (All < 0.01). The use of the three genes produced 81.1% sensitivity and 95.8% specificity in distinguishing NSCLC patients from both normal and COPD subjects. The plasma snoRNA expressions were not associated with stages and histological types of NSCLC (All > 0.05). CONCLUSIONS: The identified snoRNAs provide potential markers for NSCLC early detection.
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spelling pubmed-29194502010-08-11 Small nucleolar RNA signatures as biomarkers for non-small-cell lung cancer Liao, Jipei Yu, Lei Mei, Yuping Guarnera, Maria Shen, Jun Li, Ruiyun Liu, Zhenqiu Jiang, Feng Mol Cancer Research BACKGROUND: Non-small-cell lung cancer (NSCLC) is the leading cause of cancer death. Early detection of NSCLC will improve its outcome. The current techniques for NSCLC early detection are either invasive or have low accuracy. Molecular analyses of clinical specimens present promising diagnostic approaches. Non-coding RNAs (ncRNAs) play an important role in tumorigenesis and could be developed as biomarkers for cancer. Here we aimed to develop small nucleolar RNAs (snoRNAs), a common class of ncRNAs, as biomarkers for NSCLC early detection. The study comprised three phases: (1) profiling snoRNA signatures in 22 NSCLC tissues and matched noncancerous lung tissues by GeneChip Array, (2) validating expressions of the signatures by RT-qPCR in the tissues, and (3) evaluating plasma expressions of the snoRNAs in 37 NSCLC patients, 26 patients with chronic obstructive pulmonary disease (COPD), and 22 healthy subjects. RESULTS: In the surgical tissues, six snoRNAs were identified, which were overexpressed in all tumour tissues compared with their normal counterparts. The overexpressions of the genes in tumors were confirmed by RT-qPCR. The snoRNAs were stably present and reliably detectable in plasma. Of the six genes, three (SNORD33, SNORD66 and SNORD76) displayed higher plasma expressions in NSCLC patients compared with the cancer-free individuals (All < 0.01). The use of the three genes produced 81.1% sensitivity and 95.8% specificity in distinguishing NSCLC patients from both normal and COPD subjects. The plasma snoRNA expressions were not associated with stages and histological types of NSCLC (All > 0.05). CONCLUSIONS: The identified snoRNAs provide potential markers for NSCLC early detection. BioMed Central 2010-07-27 /pmc/articles/PMC2919450/ /pubmed/20663213 http://dx.doi.org/10.1186/1476-4598-9-198 Text en Copyright ©2010 Liao et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Liao, Jipei
Yu, Lei
Mei, Yuping
Guarnera, Maria
Shen, Jun
Li, Ruiyun
Liu, Zhenqiu
Jiang, Feng
Small nucleolar RNA signatures as biomarkers for non-small-cell lung cancer
title Small nucleolar RNA signatures as biomarkers for non-small-cell lung cancer
title_full Small nucleolar RNA signatures as biomarkers for non-small-cell lung cancer
title_fullStr Small nucleolar RNA signatures as biomarkers for non-small-cell lung cancer
title_full_unstemmed Small nucleolar RNA signatures as biomarkers for non-small-cell lung cancer
title_short Small nucleolar RNA signatures as biomarkers for non-small-cell lung cancer
title_sort small nucleolar rna signatures as biomarkers for non-small-cell lung cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2919450/
https://www.ncbi.nlm.nih.gov/pubmed/20663213
http://dx.doi.org/10.1186/1476-4598-9-198
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