The transcriptional network for mesenchymal transformation of brain tumors

Abstract

Inference of transcriptional networks that regulate transitions into physiologic or pathologic cellular states remains a central challenge in systems biology. A mesenchymal phenotype is the hallmark of tumor aggressiveness in human malignant glioma but the regulatory programs responsible for implementing the associated molecular signature are largely unknown. Here, we show that reverse-engineering and unbiased interrogation of a glioma-specific regulatory network reveal the transcriptional module that activates expression of mesenchymal genes in malignant glioma. Two transcription factors (C/EBPβ and Stat3) emerge as synergistic initiators and master regulators of mesenchymal transformation. Ectopic co-expression of C/EBPβ and Stat3 reprograms neural stem cells along the aberrant mesenchymal lineage whereas elimination of the two factors in glioma cells leads to collapse of the mesenchymal signature and reduces tumor aggressiveness. In human glioma, expression of C/EBPβ and Stat3 correlates with mesenchymal differentiation and predicts poor clinical outcome. These results reveal that activation of a small regulatory module is necessary and sufficient to initiate and maintain an aberrant phenotypic state in cancer cells.