MicroRNA Expression Profiling of Lung Cancer with Differential Expression of the RON Receptor Tyrosine Kinase

Background. The Ron receptor tyrosine kinase (RON) can act as a protooncogene and may play a prominent role in the initiation and development of lung cancer. microRNAs (miRNA) are master regulators of gene expression through direct or indirect regulation, and impact all aspects of cell biology. Meth...

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Main Authors: Huilin Ou, Keda Chen, Hongcheng Wu
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Journal of Oncology
Online Access:http://dx.doi.org/10.1155/2021/5670675
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spelling doaj-3842bc952e0f4edea90ef1cde179c8a42021-10-04T01:57:56ZengHindawi LimitedJournal of Oncology1687-84692021-01-01202110.1155/2021/5670675MicroRNA Expression Profiling of Lung Cancer with Differential Expression of the RON Receptor Tyrosine KinaseHuilin Ou0Keda Chen1Hongcheng Wu2Ningbo Medical CentreShulan International Medical CollegeNingbo Medical CentreBackground. The Ron receptor tyrosine kinase (RON) can act as a protooncogene and may play a prominent role in the initiation and development of lung cancer. microRNAs (miRNA) are master regulators of gene expression through direct or indirect regulation, and impact all aspects of cell biology. Methods. Nonsmall-cell lung cancer (NSCLC) samples and small-cell lung cancer (SCLC) were stratified based on RON expression to identify miRNA profiles associated with RON expression levels, differentially expressed miRNA regulated by RON were screened out, and their biological behavior was analyzed. Results. miRNA expression was most significantly affected by cancer type, and we found 85 miRNAs that were significantly differentially expressed between NSCLC and SCLC. There were 46 miRNAs differentially expressed between high RON expressing NSCLC compared to low RON expressing NSCLC. Biological processes and pathways found to be significantly influenced by RON expression included epithelial-mesenchymal transition (EMT) and activation of the PI3K-Akt and MAPK signaling pathways. Conclusions. These data may provide the basis for a novel strategy to characterize lung cancer by RON expression and microRNA genotyping.http://dx.doi.org/10.1155/2021/5670675
collection DOAJ
language English
format Article
sources DOAJ
author Huilin Ou
Keda Chen
Hongcheng Wu
spellingShingle Huilin Ou
Keda Chen
Hongcheng Wu
MicroRNA Expression Profiling of Lung Cancer with Differential Expression of the RON Receptor Tyrosine Kinase
Journal of Oncology
author_facet Huilin Ou
Keda Chen
Hongcheng Wu
author_sort Huilin Ou
title MicroRNA Expression Profiling of Lung Cancer with Differential Expression of the RON Receptor Tyrosine Kinase
title_short MicroRNA Expression Profiling of Lung Cancer with Differential Expression of the RON Receptor Tyrosine Kinase
title_full MicroRNA Expression Profiling of Lung Cancer with Differential Expression of the RON Receptor Tyrosine Kinase
title_fullStr MicroRNA Expression Profiling of Lung Cancer with Differential Expression of the RON Receptor Tyrosine Kinase
title_full_unstemmed MicroRNA Expression Profiling of Lung Cancer with Differential Expression of the RON Receptor Tyrosine Kinase
title_sort microrna expression profiling of lung cancer with differential expression of the ron receptor tyrosine kinase
publisher Hindawi Limited
series Journal of Oncology
issn 1687-8469
publishDate 2021-01-01
description Background. The Ron receptor tyrosine kinase (RON) can act as a protooncogene and may play a prominent role in the initiation and development of lung cancer. microRNAs (miRNA) are master regulators of gene expression through direct or indirect regulation, and impact all aspects of cell biology. Methods. Nonsmall-cell lung cancer (NSCLC) samples and small-cell lung cancer (SCLC) were stratified based on RON expression to identify miRNA profiles associated with RON expression levels, differentially expressed miRNA regulated by RON were screened out, and their biological behavior was analyzed. Results. miRNA expression was most significantly affected by cancer type, and we found 85 miRNAs that were significantly differentially expressed between NSCLC and SCLC. There were 46 miRNAs differentially expressed between high RON expressing NSCLC compared to low RON expressing NSCLC. Biological processes and pathways found to be significantly influenced by RON expression included epithelial-mesenchymal transition (EMT) and activation of the PI3K-Akt and MAPK signaling pathways. Conclusions. These data may provide the basis for a novel strategy to characterize lung cancer by RON expression and microRNA genotyping.
url http://dx.doi.org/10.1155/2021/5670675
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AT kedachen micrornaexpressionprofilingoflungcancerwithdifferentialexpressionoftheronreceptortyrosinekinase
AT hongchengwu micrornaexpressionprofilingoflungcancerwithdifferentialexpressionoftheronreceptortyrosinekinase
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