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The MiR-17-92 Gene Cluster is a Blood-Based Marker for Cancer Detection in Non-Small-Cell Lung Cancer

BACKGROUND: Lung cancer is one of the most malignant cancers threatening human health. The miR-17-92 gene cluster is a highly conserved oncogene cluster encoding 6 miRNAs: miR-17, miR-18a, miR-19a, miR-19b-1, miR-20a and miR-92a. This study explored whether these miRNAs can be used as diagnostic mar...

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Autores principales: Yang, Chenghao, Jia, Xiaoyu, Zhou, Jinbao, Sun, Qiangling, Ma, Zhongliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Southern Society for Clinical Investigation. Published by Elsevier Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7211762/
https://www.ncbi.nlm.nih.gov/pubmed/32466856
http://dx.doi.org/10.1016/j.amjms.2020.05.004
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author Yang, Chenghao
Jia, Xiaoyu
Zhou, Jinbao
Sun, Qiangling
Ma, Zhongliang
author_facet Yang, Chenghao
Jia, Xiaoyu
Zhou, Jinbao
Sun, Qiangling
Ma, Zhongliang
author_sort Yang, Chenghao
collection PubMed
description BACKGROUND: Lung cancer is one of the most malignant cancers threatening human health. The miR-17-92 gene cluster is a highly conserved oncogene cluster encoding 6 miRNAs: miR-17, miR-18a, miR-19a, miR-19b-1, miR-20a and miR-92a. This study explored whether these miRNAs can be used as diagnostic markers for non-small-cell lung cancer (NSCLC). METHODS: Serum samples were collected from healthy subjects (n = 23) and NSCLC patients at various stages (n = 74). Serum RNA was extracted by the TRIzol-glycogen method, and cDNA libraries were constructed by reverse transcription. Quantitative real-time polymerase chain reaction (qRT-PCR) was utilized to detect the expression levels of the 6 miRNAs. RESULTS: The expression levels of the 6 miRNAs varied in different stages of NSCLC. Thus, 2 receiver operating characteristic (ROC) curves, that is, normal subjects and stage I-III patients and normal subjects and stage IV patients, of each miRNA were established to determine the interval of normal ΔCt values. The 2 areas under the curve (AUCs) of each miRNA were investigated (miR-17: 0.8097 and 1.000; miR-18a: 0.7388 and 0.9907; miR-19a/19b: 0.8451 and 0.5104; miR-20a: 0.8975 and 1.000; miR-92a: 0.8097 and 0.8342). In addition, a high positive correlation was discovered between miR-17 and miR-20a expression. Combining these 2 miRNAs can improve the screening effect of NSCLC. CONCLUSION: The miR-17-92 gene cluster can likely serve as a diagnostic marker in NSCLC.
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spelling pubmed-72117622020-05-11 The MiR-17-92 Gene Cluster is a Blood-Based Marker for Cancer Detection in Non-Small-Cell Lung Cancer Yang, Chenghao Jia, Xiaoyu Zhou, Jinbao Sun, Qiangling Ma, Zhongliang Am J Med Sci Article BACKGROUND: Lung cancer is one of the most malignant cancers threatening human health. The miR-17-92 gene cluster is a highly conserved oncogene cluster encoding 6 miRNAs: miR-17, miR-18a, miR-19a, miR-19b-1, miR-20a and miR-92a. This study explored whether these miRNAs can be used as diagnostic markers for non-small-cell lung cancer (NSCLC). METHODS: Serum samples were collected from healthy subjects (n = 23) and NSCLC patients at various stages (n = 74). Serum RNA was extracted by the TRIzol-glycogen method, and cDNA libraries were constructed by reverse transcription. Quantitative real-time polymerase chain reaction (qRT-PCR) was utilized to detect the expression levels of the 6 miRNAs. RESULTS: The expression levels of the 6 miRNAs varied in different stages of NSCLC. Thus, 2 receiver operating characteristic (ROC) curves, that is, normal subjects and stage I-III patients and normal subjects and stage IV patients, of each miRNA were established to determine the interval of normal ΔCt values. The 2 areas under the curve (AUCs) of each miRNA were investigated (miR-17: 0.8097 and 1.000; miR-18a: 0.7388 and 0.9907; miR-19a/19b: 0.8451 and 0.5104; miR-20a: 0.8975 and 1.000; miR-92a: 0.8097 and 0.8342). In addition, a high positive correlation was discovered between miR-17 and miR-20a expression. Combining these 2 miRNAs can improve the screening effect of NSCLC. CONCLUSION: The miR-17-92 gene cluster can likely serve as a diagnostic marker in NSCLC. Southern Society for Clinical Investigation. Published by Elsevier Inc. 2020-09 2020-05-11 /pmc/articles/PMC7211762/ /pubmed/32466856 http://dx.doi.org/10.1016/j.amjms.2020.05.004 Text en © 2020 Southern Society for Clinical Investigation. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Yang, Chenghao
Jia, Xiaoyu
Zhou, Jinbao
Sun, Qiangling
Ma, Zhongliang
The MiR-17-92 Gene Cluster is a Blood-Based Marker for Cancer Detection in Non-Small-Cell Lung Cancer
title The MiR-17-92 Gene Cluster is a Blood-Based Marker for Cancer Detection in Non-Small-Cell Lung Cancer
title_full The MiR-17-92 Gene Cluster is a Blood-Based Marker for Cancer Detection in Non-Small-Cell Lung Cancer
title_fullStr The MiR-17-92 Gene Cluster is a Blood-Based Marker for Cancer Detection in Non-Small-Cell Lung Cancer
title_full_unstemmed The MiR-17-92 Gene Cluster is a Blood-Based Marker for Cancer Detection in Non-Small-Cell Lung Cancer
title_short The MiR-17-92 Gene Cluster is a Blood-Based Marker for Cancer Detection in Non-Small-Cell Lung Cancer
title_sort mir-17-92 gene cluster is a blood-based marker for cancer detection in non-small-cell lung cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7211762/
https://www.ncbi.nlm.nih.gov/pubmed/32466856
http://dx.doi.org/10.1016/j.amjms.2020.05.004
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