Journal
PHARMACOLOGY & THERAPEUTICS
Volume 220, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.pharmthera.2020.107722
Keywords
Transcription factor; Epithelial ovarian cancer; PAX8; MYC; FOXM1; Gene regulation
Categories
Funding
- Ruth L. Kirschstein Institutional National Research Service Award (T32) from the NIH [5T32 GM 118288-2]
- Ovarian Cancer Research Alliance Program Project Development [373356]
- American Cancer Society [134005]
- NIH R01s [R01CA211574, R01CA244569, R01CA207456]
- Ovarian Cancer Research Alliance Liz Tilberis Early Career Award [599175]
Ask authors/readers for more resources
Transcription factors play critical roles in different subtypes of epithelial ovarian cancer, presenting opportunities for the development of therapeutic strategies and biomarkers.
Transcription factors (TFs) are major contributors to cancer risk and somatic development. In preclinical and clinical studies, direct or indirect inhibition of TF-mediated oncogenic gene expression profiles have proven to be effective in many tumor types, highlighting this group of proteins as valuable therapeutic targets. In spite of this, our understanding of TFs in epithelial ovarian cancer (EOC) is relatively limited. EOC is a heterogeneous disease composed of five major histologic subtypes; high-grade serous, low-grade serous, endometrioid, clear cell and mucinous. Each histology is associated with unique clinical etiologies, sensitivity to therapies, and molecular signatures -including diverse transcriptional regulatory programs. While some TFs are shared across EOC subtypes, a set of TFs are expressed in a histotype-specific manner and likely explain part of the histologic diversity of EOC subtypes. Targeting TFs present with unique opportunities for development of novel precision medicine strategies for ovarian cancer. This article reviews the critical TFs in EOC subtypes and highlights the potential of exploiting TFs as biomarkers and therapeutic targets. ? 2020 Elsevier Inc. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available