Unknown

Dataset Information

Stroma-associated master regulators of molecular subtypes predict patient prognosis in ovarian cancer.


ABSTRACT: High-grade serous ovarian carcinoma (HGS-OvCa) has the lowest survival rate among all gynecologic cancers and is hallmarked by a high degree of heterogeneity. The Cancer Genome Atlas network has described a gene expression-based molecular classification of HGS-OvCa into Differentiated, Mesenchymal, Immunoreactive and Proliferative subtypes. However, the biological underpinnings and regulatory mechanisms underlying the distinct molecular subtypes are largely unknown. Here we showed that tumor-infiltrating stromal cells significantly contributed to the assignments of Mesenchymal and Immunoreactive clusters. Using reverse engineering and an unbiased interrogation of subtype regulatory networks, we identified the transcriptional modules containing master regulators that drive gene expression o

SUBMITTER: Zhang S 

PROVIDER: S-EPMC4632004 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature