Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Key nodes of a microRNA network associated with the integrated mesenchymal subtype of high-grade serous ovarian cancer

Sun, Y and Guo, F and Bagnoli, M and Xue, FX and Sun, BC and Shmulevich, I and Mezzanzanica, D and Chen, KX and Sood, AK and Yang, D and Zhang, W (2015) Key nodes of a microRNA network associated with the integrated mesenchymal subtype of high-grade serous ovarian cancer. Chinese Journal of Cancer, 34 (1). 28 - 40.

[img]
Preview
PDF
Published Version
Available under License : See the attached license file.

Download (595kB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

© 2015 Landes Bioscience. All Rights reserved. Metastasis is the main cause of cancer mortality. One of the initiating events of cancer metastasis of epithelial tumors is epithelial-to-mesenchymal transition (EMT), during which cells dedifferentiate from a relatively rigid cell structure/morphology to a flexible and changeable structure/morphology often associated with mesenchymal cells. The presence of EMT in human epithelial tumors is reflected by the increased expression of genes and levels of proteins that are preferentially present in mesenchymal cells. The combined presence of these genes forms the basis of mesenchymal gene signatures, which are the foundation for classifying a mesenchymal subtype of tumors. Indeed, tumor classification schemes that use clustering analysis of large genomic characterizations, like The Cancer Genome Atlas (TCGA), have defined mesenchymal subtype in a number of cancer types, such as high-grade serous ovarian cancer and glioblastoma. However, recent analyses have shown that gene expression-based classifications of mesenchymal subtypes often do not associate with poor survival. This “paradox” can be ameliorated using integrated analysis that combines multiple data types. We recently found that integrating mRNA and microRNA (miRNA) data revealed an integrated mesenchymal subtype that is consistently associated with poor survival in multiple cohorts of patients with serous ovarian cancer. This network consists of 8 major miRNAs and 214 mRNAs. Among the 8 miRNAs, 4 are known to be regulators of EMT. This review provides a summary of these 8 miRNAs, which were associated with the integrated mesenchymal subtype of serous ovarian cancer.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Sun, Y
Guo, F
Bagnoli, M
Xue, FX
Sun, BC
Shmulevich, I
Mezzanzanica, D
Chen, KX
Sood, AK
Yang, Ddyang@pitt.eduDYANG0000-0002-8336-9457
Zhang, W
Date: 1 January 2015
Date Type: Publication
Journal or Publication Title: Chinese Journal of Cancer
Volume: 34
Number: 1
Page Range: 28 - 40
DOI or Unique Handle: 10.5732/cjc.014.10284
Schools and Programs: School of Pharmacy > Pharmaceutical Sciences
Refereed: Yes
Article Type: Review
Date Deposited: 22 Dec 2016 15:24
Last Modified: 03 Feb 2019 04:55
URI: http://d-scholarship.pitt.edu/id/eprint/29430

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item