Important miRs of pathways in different tumor types

We computationally determined miRs that are significantly connected to molecular pathways by utilizing gene expression profiles in different cancer types such as glioblastomas, ovarian and breast cancers. Specifically, we assumed that the knowledge of physical interactions between miRs and genes ind...

Full description

Saved in:
Bibliographic Details
Published in:PLoS computational biology 2013-01, Vol.9 (1), p.e1002883-e1002883
Main Authors: Wuchty, Stefan, Arjona, Dolores, Bauer, Peter O
Format: Article
Language:English
Subjects:
Biology
Breast cancer
Gene expression
Genetic aspects
Health aspects
Humans
Legs
MicroRNA
MicroRNAs - metabolism
Molecular genetics
Neoplasms - classification
Neoplasms - genetics
Ovarian cancer
Physiological aspects
Proteins
Tumors
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We computationally determined miRs that are significantly connected to molecular pathways by utilizing gene expression profiles in different cancer types such as glioblastomas, ovarian and breast cancers. Specifically, we assumed that the knowledge of physical interactions between miRs and genes indicated subsets of important miRs (IM) that significantly contributed to the regression of pathway-specific enrichment scores. Despite the different nature of the considered cancer types, we found strongly overlapping sets of IMs. Furthermore, IMs that were important for many pathways were enriched with literature-curated cancer and differentially expressed miRs. Such sets of IMs also coincided well with clusters of miRs that were experimentally indicated in numerous other cancer types. In particular, we focused on an overlapping set of 99 overall important miRs (OIM) that were found in glioblastomas, ovarian and breast cancers simultaneously. Notably, we observed that interactions between OIMs and leading edge genes of differentially expressed pathways were characterized by considerable changes in their expression correlations. Such gains/losses of miR and gene expression correlation indicated miR/gene pairs that may play a causal role in the underlying cancers.
ISSN:1553-7358
1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1002883