ORIGINAL RESEARCH article
Front. Mol. Biosci.
Sec. Cellular Biochemistry
Volume 12 - 2025 | doi: 10.3389/fmolb.2025.1623062
ZKSCAN3 promotes ovarian cancer cell proliferation by increasing HSPB1 expression
Provisionally accepted- 1Huazhong University of Science and Technology, Wuhan, China
- 2Fudan University, shanghai, China
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Ovarian cancer has the worst prognosis among major gynecological cancers. Current therapies include platinum, taxol, angiogenesis inhibitors, PARP inhibitors. However, resistance develops in most ovarian cancer patients. Identification of more pro-tumor factors in ovarian cancer may provide insight into ovarian cancer biology and therapy. In this study, we find ZKSCAN3, a zinc-finger transcription factor is overexpressed in ovarian cancer. We show that ZKSCAN3 promotes ovarian cancer cell proliferation. Through RNA-seq and ChIP-seq, HSPB1 is identified as a target gene of ZKSCAN3. HSPB1 expression is significantly decreased upon suppressing ZKSCAN3. Suppressing HSPB1 expression also inhibits ovarian cancer cell proliferation. In contrast, expressing exogenous HSPB1 partially rescues the cell proliferation in ZKSCAN3 knockdown cells, which supports HSPB1 as a functional target gene of ZKSCAN3. Collectively, our study uncovers a functional ZKSCAN3-HSPB1 axis that promotes ovarian cancer cell proliferation.
Keywords: ZKSCAN3, transcription factor, ovarian cancer, HSPB1, Cell Proliferation
Received: 05 May 2025; Accepted: 22 Oct 2025.
Copyright: © 2025 Ke, Li, Fan, Li, Sun, Zhao and Song. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Lidong Sun, sun.lidong@foxmail.com
Hongbo Zhao, zhaohongbo01@sina.com
Tanjing Song, songt@hust.edu.cn
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