Cargando…

Bioinformatic analysis of four miRNAs relevant to metastasis-regulated processes in endometrial carcinoma

BACKGROUND: The purpose of this study was to investigate the expression of different miRNAs in nonmetastatic and metastatic endometrial cancer Existing evidence indicates that there are many factors affecting the metastasis of endometrial cancer, and miRNAs play an unique role in many processes of e...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Lingping, Shu, Zhiqun, Sun, Xiaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078085/
https://www.ncbi.nlm.nih.gov/pubmed/30122983
http://dx.doi.org/10.2147/CMAR.S168594
_version_ 1783345033501474816
author Zhu, Lingping
Shu, Zhiqun
Sun, Xiaoming
author_facet Zhu, Lingping
Shu, Zhiqun
Sun, Xiaoming
author_sort Zhu, Lingping
collection PubMed
description BACKGROUND: The purpose of this study was to investigate the expression of different miRNAs in nonmetastatic and metastatic endometrial cancer Existing evidence indicates that there are many factors affecting the metastasis of endometrial cancer, and miRNAs play an unique role in many processes of endometiral cancer. MATERIALS AND METHODS: miRNA sequences were downloaded from The Cancer Genome Atlas Project database, and Bioinformatics technique was used to deal with those data. RESULTS: We elucidated the relation between differentially expressed miRNAs and clinical information for a total of 260 tumor tissues and 22 tumor tissues that had metastasized. We used the threshold of P <0.05| log 2 FC | >1.2 to identify potential miRNAs. Four differentially expressed miRNAs were identified in nonmetastatic and metastatic endometrial cancers. Further differential analysis of metastatic tissue revealed that miR-1247 is associated with metastasis of endometrial cancer to the lung, and miR-3200 is associated with the clinical stage of endometrial cancer. A functional enrichment analysis showed that the four miRNAs may be involved in multiple pathways of cancer, including the Wnt, NOTCH, and TGF-β signaling pathways and signaling pathways regulating pluripotency of stem cells. Protein–protein interaction analysis showed that PAK6, SNAP25, MAN1A1, MYB, ZBTB4, UST, ALDH1A3, and NRP2 are hub genes of relevant miRNAs in endometrial cancers. CONCLUSION: The current study indicates that these four miRNAs may be related to molecular markers of metastasis of endometrial cancer.
format Online
Article
Text
id pubmed-6078085
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Dove Medical Press
record_format MEDLINE/PubMed
spelling pubmed-60780852018-08-17 Bioinformatic analysis of four miRNAs relevant to metastasis-regulated processes in endometrial carcinoma Zhu, Lingping Shu, Zhiqun Sun, Xiaoming Cancer Manag Res Original Research BACKGROUND: The purpose of this study was to investigate the expression of different miRNAs in nonmetastatic and metastatic endometrial cancer Existing evidence indicates that there are many factors affecting the metastasis of endometrial cancer, and miRNAs play an unique role in many processes of endometiral cancer. MATERIALS AND METHODS: miRNA sequences were downloaded from The Cancer Genome Atlas Project database, and Bioinformatics technique was used to deal with those data. RESULTS: We elucidated the relation between differentially expressed miRNAs and clinical information for a total of 260 tumor tissues and 22 tumor tissues that had metastasized. We used the threshold of P <0.05| log 2 FC | >1.2 to identify potential miRNAs. Four differentially expressed miRNAs were identified in nonmetastatic and metastatic endometrial cancers. Further differential analysis of metastatic tissue revealed that miR-1247 is associated with metastasis of endometrial cancer to the lung, and miR-3200 is associated with the clinical stage of endometrial cancer. A functional enrichment analysis showed that the four miRNAs may be involved in multiple pathways of cancer, including the Wnt, NOTCH, and TGF-β signaling pathways and signaling pathways regulating pluripotency of stem cells. Protein–protein interaction analysis showed that PAK6, SNAP25, MAN1A1, MYB, ZBTB4, UST, ALDH1A3, and NRP2 are hub genes of relevant miRNAs in endometrial cancers. CONCLUSION: The current study indicates that these four miRNAs may be related to molecular markers of metastasis of endometrial cancer. Dove Medical Press 2018-08-01 /pmc/articles/PMC6078085/ /pubmed/30122983 http://dx.doi.org/10.2147/CMAR.S168594 Text en © 2018 Zhu 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
Zhu, Lingping
Shu, Zhiqun
Sun, Xiaoming
Bioinformatic analysis of four miRNAs relevant to metastasis-regulated processes in endometrial carcinoma
title Bioinformatic analysis of four miRNAs relevant to metastasis-regulated processes in endometrial carcinoma
title_full Bioinformatic analysis of four miRNAs relevant to metastasis-regulated processes in endometrial carcinoma
title_fullStr Bioinformatic analysis of four miRNAs relevant to metastasis-regulated processes in endometrial carcinoma
title_full_unstemmed Bioinformatic analysis of four miRNAs relevant to metastasis-regulated processes in endometrial carcinoma
title_short Bioinformatic analysis of four miRNAs relevant to metastasis-regulated processes in endometrial carcinoma
title_sort bioinformatic analysis of four mirnas relevant to metastasis-regulated processes in endometrial carcinoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078085/
https://www.ncbi.nlm.nih.gov/pubmed/30122983
http://dx.doi.org/10.2147/CMAR.S168594
work_keys_str_mv AT zhulingping bioinformaticanalysisoffourmirnasrelevanttometastasisregulatedprocessesinendometrialcarcinoma
AT shuzhiqun bioinformaticanalysisoffourmirnasrelevanttometastasisregulatedprocessesinendometrialcarcinoma
AT sunxiaoming bioinformaticanalysisoffourmirnasrelevanttometastasisregulatedprocessesinendometrialcarcinoma