Transcriptomics

Dataset Information

Systematic Identification of Epithelial–Stromal Crosstalk Signaling Networks in Ovarian Cancer


ABSTRACT: Ovarian cancer is the most lethal malignancy in the United States. While studies on ovarian cancer pathogenesis were mainly focused on the epithelial component of the tumor, understanding in the role of cancer associated fibroblasts (CAFs) in ovarian cancer progression is limited. In the present study, we describe the use of microdissected transcriptome profiles for the identification of cancer–stroma crosstalk networks with prognostic value, which presents a unique opportunity for developing new treatment strategies for ovarian cancer.

ORGANISM(S): Homo sapiens

PROVIDER: GSE115635 | GEO | 2018/10/22

REPOSITORIES: GEO

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