ArticleJournal of cellular and molecular medicine2023
Synergistic effect of PARP inhibitor and BRD4 inhibitor in multiple models of ovarian cancer.
Article in Journal of cellular and molecular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Interplay Between Poly(ADP-ribosyl)ation and Specific Inner Cellular Events That Suggest Combination Strategies for Overcoming PARP Inhibitor Resistance.Pharmaceutics · 2026Review
- Bromodomain-Driven Regulation of Stem Cells: A Potential Target for Cancer Therapeutic Intervention.Stem cell reviews and reports · 2026Review
- Near Infrared-light responsive chlorin e6 pro-drug micellar photodynamic therapy for oral cancer.Bioengineering & translational medicine · 2025Article
- Article
- Tumor Treating Fields (TTFields) induce homologous recombination deficiency in ovarian cancer cells, thus mitigating drug resistance.Frontiers in oncology · 2024Article
- Bromodomain and extraterminal (BET) proteins: biological functions, diseases, and targeted therapy.Signal transduction and targeted therapy · 2023Review
- Synergistic effect of PARP inhibitor and BRD4 inhibitor in multiple models of ovarian cancer.Journal of cellular and molecular medicine · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ovarian cancer has the highest facility rate among gynaecological tumours. Current therapies including PARP inhibitors have a defect that ovarian tumour is easy to recurrent and become resistant to therapy. To solve this problem, we found that BRD4 inhibitor AZD5153 and PARP inhibitor olaparib had a widespread synergistic effect in multiple models with different gene backgrounds. AZD5153 sensitizes cells to olaparib and reverses the acquired resistance by down-regulating PTEN expression levels to destabilize hereditary materials. In this study, we used the following multiple ovarian cancer models PDX, PDO and 3D/2D cell lines to elucidate the co-effect of AZD5153 and olaparib in vivo and in vitro. The similar results of these models further proved that the mechanism identified was consistent with the biological process occurring in ovarian cancer patients after drug treatment. This consistency between the results of different models suggests the possibility of translating these laboratory research findings into clinical studies towards developing treatments.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.