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.
Abstract
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: |
|
Details
| Item Type: |
Article
|
| Status: |
Published |
| Creators/Authors: |
| Creators | Email | Pitt Username | ORCID  |
|---|
| Sun, Y | | | | | Guo, F | | | | | Bagnoli, M | | | | | Xue, FX | | | | | Sun, BC | | | | | Shmulevich, I | | | | | Mezzanzanica, D | | | | | Chen, KX | | | | | Sood, AK | | | | | Yang, D | dyang@pitt.edu | DYANG | 0000-0002-8336-9457 | | 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: |
30 Mar 2021 14:55 |
| 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 |
![[img]](http://d-scholarship.pitt.edu/style/images/fileicons/text_plain.png)
![[feed]](/images/feed-icon-32x32.png){kind=icon}