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The lncRNA myocardial infarction associated transcript-centric competing endogenous RNA network in non-small-cell lung cancer

BACKGROUND: The leading cause of death for cancer is lung cancer, of which the majority subtype is non-small cell lung cancer (NSCLC). Recent studies have shown long non-coding RNAs are transcribed and contribute to cancer. Previous study has shown that a few single nucleotide polymorphisms (SNPs) i...

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Autores principales: Zheng, Chang, Li, Xuelian, Qian, Biyun, Feng, Nannan, Gao, Sumeng, Zhao, Yuxia, Zhou, Baosen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958945/
https://www.ncbi.nlm.nih.gov/pubmed/29795987
http://dx.doi.org/10.2147/CMAR.S163395
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author Zheng, Chang
Li, Xuelian
Qian, Biyun
Feng, Nannan
Gao, Sumeng
Zhao, Yuxia
Zhou, Baosen
author_facet Zheng, Chang
Li, Xuelian
Qian, Biyun
Feng, Nannan
Gao, Sumeng
Zhao, Yuxia
Zhou, Baosen
author_sort Zheng, Chang
collection PubMed
description BACKGROUND: The leading cause of death for cancer is lung cancer, of which the majority subtype is non-small cell lung cancer (NSCLC). Recent studies have shown long non-coding RNAs are transcribed and contribute to cancer. Previous study has shown that a few single nucleotide polymorphisms (SNPs) in myocardial infarction associated transcript (MIAT) were associated with some diseases or function as competing endogenous RNA (ceRNA) in some cancer. PATIENTS AND METHODS: We performed bioinformatic methods for analyzing RNA-seq and miRNA-seq data of NSCLC from The Cancer Genome Atlas database. 1352 NSCLC patients and 1320 cancer-free controls for genotyping, and dual luciferase reporter assay, real-time PCR are performed in A549 and H1975 lung cancer cell lines. Results are analyzed by SPSS v16.0. RESULTS: In the present study, we focus on the role of over-expression MIAT in NSCLC. We confirmed that rs1061451 T>C (allele odds ratio = 0.22; P < 0.01) was associated with NSCLC. Furthermore, we constructed MIAT-centric ceRNA network, and three mRNAs (MYO1B, SGK1 and WNT9A) was identified as targets by MIAT via miR-133a-5p. CONCLUSION: C-containing genotypes of MIAT rs1061451 were protective factor of NSCLC, and MIAT, which may act as ceRNA via miR-133a-5p, modulated MYO1B, SGK1 and WNT9A expression level.
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spelling pubmed-59589452018-05-24 The lncRNA myocardial infarction associated transcript-centric competing endogenous RNA network in non-small-cell lung cancer Zheng, Chang Li, Xuelian Qian, Biyun Feng, Nannan Gao, Sumeng Zhao, Yuxia Zhou, Baosen Cancer Manag Res Original Research BACKGROUND: The leading cause of death for cancer is lung cancer, of which the majority subtype is non-small cell lung cancer (NSCLC). Recent studies have shown long non-coding RNAs are transcribed and contribute to cancer. Previous study has shown that a few single nucleotide polymorphisms (SNPs) in myocardial infarction associated transcript (MIAT) were associated with some diseases or function as competing endogenous RNA (ceRNA) in some cancer. PATIENTS AND METHODS: We performed bioinformatic methods for analyzing RNA-seq and miRNA-seq data of NSCLC from The Cancer Genome Atlas database. 1352 NSCLC patients and 1320 cancer-free controls for genotyping, and dual luciferase reporter assay, real-time PCR are performed in A549 and H1975 lung cancer cell lines. Results are analyzed by SPSS v16.0. RESULTS: In the present study, we focus on the role of over-expression MIAT in NSCLC. We confirmed that rs1061451 T>C (allele odds ratio = 0.22; P < 0.01) was associated with NSCLC. Furthermore, we constructed MIAT-centric ceRNA network, and three mRNAs (MYO1B, SGK1 and WNT9A) was identified as targets by MIAT via miR-133a-5p. CONCLUSION: C-containing genotypes of MIAT rs1061451 were protective factor of NSCLC, and MIAT, which may act as ceRNA via miR-133a-5p, modulated MYO1B, SGK1 and WNT9A expression level. Dove Medical Press 2018-05-14 /pmc/articles/PMC5958945/ /pubmed/29795987 http://dx.doi.org/10.2147/CMAR.S163395 Text en © 2018 Zheng et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Zheng, Chang
Li, Xuelian
Qian, Biyun
Feng, Nannan
Gao, Sumeng
Zhao, Yuxia
Zhou, Baosen
The lncRNA myocardial infarction associated transcript-centric competing endogenous RNA network in non-small-cell lung cancer
title The lncRNA myocardial infarction associated transcript-centric competing endogenous RNA network in non-small-cell lung cancer
title_full The lncRNA myocardial infarction associated transcript-centric competing endogenous RNA network in non-small-cell lung cancer
title_fullStr The lncRNA myocardial infarction associated transcript-centric competing endogenous RNA network in non-small-cell lung cancer
title_full_unstemmed The lncRNA myocardial infarction associated transcript-centric competing endogenous RNA network in non-small-cell lung cancer
title_short The lncRNA myocardial infarction associated transcript-centric competing endogenous RNA network in non-small-cell lung cancer
title_sort lncrna myocardial infarction associated transcript-centric competing endogenous rna network in non-small-cell lung cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958945/
https://www.ncbi.nlm.nih.gov/pubmed/29795987
http://dx.doi.org/10.2147/CMAR.S163395
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