Unknown

Dataset Information

0

Gene transcriptional networks integrate microenvironmental signals in human breast cancer.


ABSTRACT: A significant amount of evidence shows that microenvironmental signals generated from extracellular matrix (ECM) molecules, soluble factors, and cell-cell adhesion complexes cooperate at the extra- and intracellular level. This synergetic action of microenvironmental cues is crucial for normal mammary gland development and breast malignancy. To explore how the microenvironmental genes coordinate in human breast cancer at the genome level, we have performed gene co-expression network analysis in three independent microarray datasets and identified two microenvironment networks in human breast cancer tissues. Network I represents crosstalk and cooperation of ECM microenvironment and soluble factors during breast malignancy. The correlated expression of cytokines, chemokines, and cell adhesion proteins in Network II implicates the coordinated action of these molecules in modulating the immune response in breast cancer tissues. These results suggest that microenvironmental cues are integrated with gene transcriptional networks to promote breast cancer development.

SUBMITTER: Xu R 

PROVIDER: S-EPMC3121540 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Gene transcriptional networks integrate microenvironmental signals in human breast cancer.

Xu Ren R   Mao Jian-Hua JH  

Integrative biology : quantitative biosciences from nano to macro 20101216 4


A significant amount of evidence shows that microenvironmental signals generated from extracellular matrix (ECM) molecules, soluble factors, and cell-cell adhesion complexes cooperate at the extra- and intracellular level. This synergetic action of microenvironmental cues is crucial for normal mammary gland development and breast malignancy. To explore how the microenvironmental genes coordinate in human breast cancer at the genome level, we have performed gene co-expression network analysis in  ...[more]

Similar Datasets

| S-EPMC10775554 | biostudies-literature
| S-EPMC4132719 | biostudies-literature
| S-EPMC3435267 | biostudies-literature
| S-EPMC8585944 | biostudies-literature
| S-EPMC8355191 | biostudies-literature
| S-EPMC5348381 | biostudies-literature
| S-EPMC2854678 | biostudies-literature
| S-EPMC6746846 | biostudies-literature
| S-EPMC4525203 | biostudies-literature
| S-EPMC8222808 | biostudies-literature