Title: Prediction of lymph node involvement in breast cancer from primary tumor tissue using gene expression profiling and miRNAs
Authors: Smeets, Ann ×
Daemen, Anneleen
Vanden Bempt, Isabelle
Gevaert, Olivier
Claes, Bart
Wildiers, Hans
Drijkoningen, Ria
Van Hummelen, Paul
Lambrechts, Diether
De Moor, Bart
Neven, Patrick
Sotiriou, Christos
Vandorpe, Thijs
Paridaens, Robert
Christiaens, Rose #
Issue Date: Oct-2011
Publisher: M. Nijhoff
Series Title: Breast Cancer Research and Treatment vol:129 issue:3 pages:767-776
Abstract: The aim of this study was to investigate whether lymph node involvement in breast cancer is influenced by gene or miRNA expression of the primary tumor. For this purpose, we selected a very homogeneous patient population to minimize heterogeneity in other tumor and patient characteristics. First, we compared gene expression profiles of primary tumor tissue from a group of 96 breast cancer patients balanced for lymph node involvement using Affymetrix Human U133 Plus 2.0 microarray chip. A model was built by weighted Least-Squares Support Vector Machines and validated on an internal and external dataset. Next, miRNA profiling was performed on a subset of 82 tumors using Human MiRNA-microarray chips (Illumina). Finally, for each miRNA the number of significant inverse correlated targets was determined and compared with 1000 sets of randomly chosen targets. A model based on 241 genes was built (AUC 0.66). The AUC for the internal dataset was 0.646 and 0. 651 for the external datasets. The model includes multiple kinases, apoptosis-related, and zinc ion-binding genes. Integration of the microarray and miRNA data reveals ten miRNAs suppressing lymph node invasion and one miRNA promoting lymph node invasion. Our results provide evidence that measurable differences in gene and miRNA expression exist between node negative and node positive patients and thus that lymph node involvement is not a genetically random process. Moreover, our data suggest a general deregulation of the miRNA machinery that is potentially responsible for lymph node invasion.
ISSN: 0167-6806
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Vesalius Research Centre (-)
Multidisciplinary Breast Clinic Section (-)
ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
Laboratory of Experimental Oncology
Gynaecological Oncology
Surgical Oncology
Laboratory of Translational Genetics (Vesalius Research Center) (+)
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science