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Bioinformatics analysis of differentially expressed miRNAs in non‐small cell lung cancer

OBJECTIVE: Non‐small cell lung cancer (NSCLC) contains 85% of lung cancer. Lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) are the largest NSCLC subgroups. The aim of the study was to investigate the underlying mechanism in developing more effective subtype‐specific molecular ther...

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Autores principales: Yu, Hui, Pang, Zhonghao, Li, Gang, Gu, Tianyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891510/
https://www.ncbi.nlm.nih.gov/pubmed/32965722
http://dx.doi.org/10.1002/jcla.23588
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author Yu, Hui
Pang, Zhonghao
Li, Gang
Gu, Tianyi
author_facet Yu, Hui
Pang, Zhonghao
Li, Gang
Gu, Tianyi
author_sort Yu, Hui
collection PubMed
description OBJECTIVE: Non‐small cell lung cancer (NSCLC) contains 85% of lung cancer. Lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) are the largest NSCLC subgroups. The aim of the study was to investigate the underlying mechanism in developing more effective subtype‐specific molecular therapeutic procedures. METHODS: A total of 876 specimens were used in this study: 494 LUAD tissues (ie, 449 LUAD tissues and 45 matched normal tissues) and 382 LUSC tissues (ie, 337 LUSC tissues and 45 matched normal tissues). The miRNA sequencing data were processed using R. The differential expressed miRNAs between lung cancer and normal tissues were analyzed using the limma package in R. Gene expression, Western blotting, hematoxylin and eosin staining, and luciferase assay were used to test LUAD and LUSC. RESULTS: LUAD and LUSC appear sharply distinct at molecular and pathological level. Let‐7a‐5p, miR‐338, miR‐375, miR‐217, miR‐627, miR‐140, miR‐147b, miR‐138‐2, miR‐584, and miR‐197 are top 10 relevant miRNAs and CLDN3, DSG3, KRT17, TMEM125, KRT5, NKX2‐1, KRT7, ABCC5, KRAS, and PLCG2 are top 10 relevant genes in NSCLC. At the same time, the miRNAs expression levels were also quite different between the two groups. Among the differential expressed miRNAs, let‐7a‐5p was significantly down‐regulated in LUAD while miR‐338 was markedly down‐regulated in LUSC. Bioinformatics analyses appeared that let‐7a‐5p directly targets high–molecular weight keratin 5 (KRT5) which were shown to be a strong risk factor for LUAD. And NK2 homeobox 1(NKX2‐1) which was associated with tumor progression in LUSC was identified as a target gene of miR‐338. CONCLUSIONS: Distinct profile of miRNAs can take a part in the development of LUAD and LUSC and thus could serve as a subtype‐specific molecular therapeutic target to protect against LUAD and LUSC.
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spelling pubmed-78915102021-03-10 Bioinformatics analysis of differentially expressed miRNAs in non‐small cell lung cancer Yu, Hui Pang, Zhonghao Li, Gang Gu, Tianyi J Clin Lab Anal Research Article OBJECTIVE: Non‐small cell lung cancer (NSCLC) contains 85% of lung cancer. Lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) are the largest NSCLC subgroups. The aim of the study was to investigate the underlying mechanism in developing more effective subtype‐specific molecular therapeutic procedures. METHODS: A total of 876 specimens were used in this study: 494 LUAD tissues (ie, 449 LUAD tissues and 45 matched normal tissues) and 382 LUSC tissues (ie, 337 LUSC tissues and 45 matched normal tissues). The miRNA sequencing data were processed using R. The differential expressed miRNAs between lung cancer and normal tissues were analyzed using the limma package in R. Gene expression, Western blotting, hematoxylin and eosin staining, and luciferase assay were used to test LUAD and LUSC. RESULTS: LUAD and LUSC appear sharply distinct at molecular and pathological level. Let‐7a‐5p, miR‐338, miR‐375, miR‐217, miR‐627, miR‐140, miR‐147b, miR‐138‐2, miR‐584, and miR‐197 are top 10 relevant miRNAs and CLDN3, DSG3, KRT17, TMEM125, KRT5, NKX2‐1, KRT7, ABCC5, KRAS, and PLCG2 are top 10 relevant genes in NSCLC. At the same time, the miRNAs expression levels were also quite different between the two groups. Among the differential expressed miRNAs, let‐7a‐5p was significantly down‐regulated in LUAD while miR‐338 was markedly down‐regulated in LUSC. Bioinformatics analyses appeared that let‐7a‐5p directly targets high–molecular weight keratin 5 (KRT5) which were shown to be a strong risk factor for LUAD. And NK2 homeobox 1(NKX2‐1) which was associated with tumor progression in LUSC was identified as a target gene of miR‐338. CONCLUSIONS: Distinct profile of miRNAs can take a part in the development of LUAD and LUSC and thus could serve as a subtype‐specific molecular therapeutic target to protect against LUAD and LUSC. John Wiley and Sons Inc. 2020-09-23 /pmc/articles/PMC7891510/ /pubmed/32965722 http://dx.doi.org/10.1002/jcla.23588 Text en © 2020 The Authors. Journal of Clinical Laboratory Analysis Published by Wiley Periodicals LLC This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yu, Hui
Pang, Zhonghao
Li, Gang
Gu, Tianyi
Bioinformatics analysis of differentially expressed miRNAs in non‐small cell lung cancer
title Bioinformatics analysis of differentially expressed miRNAs in non‐small cell lung cancer
title_full Bioinformatics analysis of differentially expressed miRNAs in non‐small cell lung cancer
title_fullStr Bioinformatics analysis of differentially expressed miRNAs in non‐small cell lung cancer
title_full_unstemmed Bioinformatics analysis of differentially expressed miRNAs in non‐small cell lung cancer
title_short Bioinformatics analysis of differentially expressed miRNAs in non‐small cell lung cancer
title_sort bioinformatics analysis of differentially expressed mirnas in non‐small cell lung cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891510/
https://www.ncbi.nlm.nih.gov/pubmed/32965722
http://dx.doi.org/10.1002/jcla.23588
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