ArticleProceedings of the National Academy of Sciences of the United States of America2025
Defining CDK12 as a tumor suppressor and therapeutic target in mouse models of tubo-ovarian high-grade serous carcinoma.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Gemogenovatucel-T Advantage in Clonal Tumor Mutation Burden-High Ovarian Cancer.JCO precision oncology · 2026Trial
- Review
- CDK12/13 inhibition overcomes platinum resistance by impairing RNA metabolism.Signal transduction and targeted therapy · 2026Article
- The Emerging Role of Transcription-Associated Cyclin-Dependent Kinases in Gastrointestinal Tumors.Cancers · 2026Review
- Development and Application of MiMouse, a Comprehensive Genomic Profiling Panel for Credentialing Mouse Tumor Models.Cancer research communications · 2025Article
Corrections and comments
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Authors and funding
31 authors.
Funding
Abstract
Ovarian cancer is the sixth leading cause of cancer death among American women, with most fatalities attributable to tubo-ovarian high-grade serous carcinoma (HGSC). This malignancy usually develops resistance to conventional chemotherapy, underscoring the need for robust preclinical models to guide the development of novel therapies. Here, we introduce an HGSC mouse model generated via
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Registered trials
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.