ArticleBMC cancer2021
Differential gene expression identifies a transcriptional regulatory network involving ER-alpha and PITX1 in invasive epithelial ovarian cancer.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Robust and efficient annotation of cell states through gene signature scoring.Genome research · 2026Article
- Exosomal insights into ovarian cancer stem cells: revealing the molecular hubs.Journal of ovarian research · 2025Article
- Divergent ERα co-factor landscapes in gynecological cancers: implications for disease progression and therapy.Biochemistry and cell biology = Biochimie et biologie cellulaire · 2025Review
- The Megacomplex protects ER-alpha from degradation by Fulvestrant in epithelial ovarian cancer.Cancer letters · 2025Article
- Epigenetic Modulation of Estrogen Receptor Signaling in Ovarian Cancer.International journal of molecular sciences · 2024Review
- PITX1 plays essential functions in cancer.Frontiers in oncology · 2023Review
- Structural, topological, and functional characterization of transmembrane proteins TMEM213, 207, 116, 72 and 30B provides a potential link to ccRCC etiology.American journal of cancer research · 2023Article
- Molecular Management of High-Grade Serous Ovarian Carcinoma.International journal of molecular sciences · 2022Review
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Authors and funding
12 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundThe heterogeneous subtypes and stages of epithelial ovarian cancer (EOC) differ in their biological features, invasiveness, and response to chemotherapy, but the transcriptional regulators causing their differences remain nebulous.
methodsIn this study, we compared high-grade serous ovarian cancers (HGSOCs) to low malignant potential or serous borderline tumors (SBTs). Our aim was to discover new regulatory factors causing distinct biological properties of HGSOCs and SBTs.
resultsIn a discovery dataset, we identified 11 differentially expressed genes (DEGs) between SBTs and HGSOCs. Their expression correctly classified 95% of 267 validation samples. Two of the DEGs, TMEM30B and TSPAN1, were significantly associated with worse overall survival in patients with HGSOC. We also identified 17 DEGs that distinguished stage II vs. III HGSOC. In these two DEG promoter sets, we identified significant enrichment of predicted transcription factor binding sites, including those of RARA, FOXF1, BHLHE41, and PITX1. Using published ChIP-seq data acquired from multiple non-ovarian cell types, we showed additional regulatory factors, including AP2-gamma/TFAP2C, FOXA1, and BHLHE40, bound at the majority of DEG promoters. Several of the factors are known to cooperate with and predict the presence of nuclear hormone receptor estrogen receptor alpha (ER-alpha). We experimentally confirmed ER-alpha and PITX1 presence at the DEGs by performing ChIP-seq analysis using the ovarian cancer cell line PEO4. Finally, RNA-seq analysis identified recurrent gene fusion events in our EOC tumor set. Some of these fusions were significantly associated with survival in HGSOC patients; however, the fusion genes are not regulated by the transcription factors identified for the DEGs.
conclusionsThese data implicate an estrogen-responsive regulatory network in the differential gene expression between ovarian cancer subtypes and stages, which includes PITX1. Importantly, the transcription factors associated with our DEG promoters are known to form the MegaTrans complex in breast cancer. This is the first study to implicate the MegaTrans complex in contributing to the distinct biological trajectories of malignant and indolent ovarian cancer subtypes.
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