Home Neoplasma 2019 Neoplasma Vol.66, No.6, p.930–938, 2019

Journal info

6 times a year.
Founded: 1954
ISSN 0028-2685
ISSN 1338-4317 (online)

Published in English

Editorial Info
Abstracted and Indexed
Submission Guidelines

Select Journal

Webshop Cart

Your Cart is currently empty.

Info: Your browser does not accept cookies. To put products into your cart and purchase them you need to enable cookies.

Neoplasma Vol.66, No.6, p.930–938, 2019

Title: Comparison of dysregulated long noncoding RNAs in lung adenocarcinoma and spinal metastasis: A genome-wide analysis
Author: H. Wang, S. Wang, P. Liu, Y. Ma, A. Hu, C. Sun, J. Dong

Abstract: Long noncoding RNAs (lncRNAs) have been shown to play crucial roles in cancer metastasis, yet the lncRNAs landscape of lung adenocarcinoma has not been completely characterized. The aim of this study was to assess the expression profile and potential function of lncRNA in lung adenocarcinoma and in spinal metastasis (SM). A genome-wide microarray analysis was conducted on lung adenocarcinoma and SM tissue from ten Chinese patients. A total of 3,345 differentially expressed lncRNAs were detected. Of those, 761 lncRNAs were upregulated and 2,584 were downregulated (fold-change >2.0, p- and trans- target genes. All 2,317 cis targeted genes were confirmed to be differentially expressed and influenced by dysregulated lncRNAs in SM of lung adenocarcinoma. Top ten markedly dysregulated lncRNAs and mRNAs were verified from the co-expression network. In conclusion, this study was a genome-wide survey of dysregulated lncRNAs and corresponding mRNAs that comprise co-regulation networks for SM and lung adenocarcinoma tissues. These dysregulated lncRNAs and mRNA networks could be used as therapeutic gene targets to prevent SM of lung adenocarcinoma and to predictively evaluate treatment efficacy.

Keywords: adenocarcinoma of lung, long noncoding RNA (lncRNA), spinal metastasis, mRNA, microarray analysis
Published online: 07-Aug-2019
Year: 2019, Volume: 66, Issue: 6 Page From: 930, Page To: 938

download file

© AEPress s.r.o
Copyright notice: For any permission to reproduce, archive or otherwise use the documents in the ELiS, please contact AEP.