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Updated: May 2, 2026

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer
Published on: August 2, 2024
Targeting TBP-Associated Factors in Ovarian Cancer
Jennifer R Ribeiro1, Lindsay A Lovasco2, Barbara C Vanderhyden3
1Pathobiology Graduate Program, Brown University , Providence, RI , USA.
Abstract:
As ovarian tumors progress, they undergo a process of dedifferentiation, allowing adaptive changes in growth and morphology that promote metastasis and chemoresistance. Herein, we outline a hypothesis that TATA-box binding protein associated factors (TAFs), which compose the RNA Polymerase II initiation factor, TFIID, contribute to regulation of dedifferentiation states in ovarian cancer. Numerous studies demonstrate that TAFs regulate differentiation and proliferation states; their expression is typically high in pluripotent cells and reduced upon differentiation. Strikingly, TAF2 exhibits copy number increases or mRNA overexpression in 73% of high-grade serous ovarian cancers (HGSC). At the biochemical level, TAF2 directs TFIID to TATA-less promoters by contact with an Initiator element, which may lead to the deregulation of the transcriptional output of these tumor cells. TAF4, which is altered in 66% of HGSC, is crucial for the stability of the TFIID complex and helps drive dedifferentiation of mouse embryonic fibroblasts to induced pluripotent stem cells. Its ovary-enriched paralog, TAF4B, is altered in 26% of HGSC. Here, we show that TAF4B mRNA correlates with Cyclin D2 mRNA expression in human granulosa cell tumors. TAF4B may also contribute to regulation of tumor microenvironment due to its estrogen-responsiveness and ability to act as a cofactor for NFκB. Conversely, TAF9, a cofactor for p53 in regulating apoptosis, may act as a tumor suppressor in ovarian cancer, since it is downregulated or deleted in 98% of HGSC. We conclude that a greater understanding of mechanisms of transcriptional regulation that execute signals from oncogenic signaling cascades is needed in order to expand our understanding of the etiology and progression of ovarian cancer, and most importantly to identify novel targets for therapeutic intervention.
Insights
TATA-box binding protein associated factors (TAFs) may drive ovarian cancer progression by regulating cell dedifferentiation. TAF2 and TAF4 alterations are common in high-grade serous ovarian cancers, suggesting novel therapeutic targets.
Area of Science:
- Molecular Biology
- Oncology
- Gene Regulation
Background:
- Ovarian tumors progress through dedifferentiation, promoting metastasis and chemoresistance.
- TATA-box binding protein associated factors (TAFs) regulate cell differentiation and proliferation.
- TAF expression is typically high in pluripotent cells and decreases upon differentiation.
Purpose of the Study:
- To hypothesize the role of TAFs in regulating dedifferentiation states in ovarian cancer.
- To investigate the specific contributions of TAF2, TAF4, TAF4B, and TAF9 in ovarian cancer progression.
Main Methods:
- Analysis of TAF gene copy number and mRNA expression in high-grade serous ovarian cancers (HGSC).
- Biochemical investigation of TAF2's role at TATA-less promoters.
- Correlation analysis of TAF4B mRNA with Cyclin D2 mRNA in granulosa cell tumors.
- Examination of TAF9's role as a p53 cofactor in apoptosis regulation.
Main Results:
- TAF2 copy number increases or mRNA overexpression observed in 73% of HGSC.
- TAF4 alterations found in 66% of HGSC; TAF4B alterations in 26% of HGSC.
- TAF4B mRNA correlates with Cyclin D2 mRNA in granulosa cell tumors.
- TAF9 is downregulated or deleted in 98% of HGSC, suggesting a tumor suppressor role.
Conclusions:
- TAFs, particularly TAF2 and TAF4 family members, are implicated in ovarian cancer dedifferentiation and progression.
- TAF4B's estrogen-responsiveness and cofactor activity suggest roles in the tumor microenvironment.
- TAF9's downregulation indicates its potential tumor suppressive function in ovarian cancer.
- Understanding TAF-mediated transcriptional regulation is crucial for identifying novel therapeutic targets in ovarian cancer.

