ArticleClinical cancer research : an official journal of the American Association for Cancer Research2015
Mevalonate Pathway Antagonist Suppresses Formation of Serous Tubal Intraepithelial Carcinoma and Ovarian Carcinoma in Mouse Models.
Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 4 of them syntheses that pooled it.
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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
42 citing papers in PubMed, 4 syntheses or guidelines pooled it, 61 citations in OpenAlex.
- The impact of statin therapy on the prognosis of hormone receptor-positive breast cancer: a systematic review and meta-analysis.Frontiers in oncology · 2026Pooled it
- Statins as Repurposed Drugs in Gynecological Cancer: A Review.International journal of molecular sciences · 2022Pooled it
- Drug repositioning: Progress and challenges in drug discovery for various diseases.European journal of medicinal chemistry · 2022Pooled it
- Efficacy and safety profile of statins in patients with cancer: a systematic review of randomised controlled trials.European journal of clinical pharmacology · 2020Pooled it
- The emerging role of cholesterol metabolism in gynecologic cancer development and therapy.Apoptosis : an international journal on programmed cell death · 2026Review
- Alterations in lipid metabolism and blood profile in gynecological cancers - potential strategies in diagnosis and treatment.Frontiers in physiology · 2026Review
- Spatial proteomics of ovarian cancer precursors delineates early disease changes and drug targets.Molecular systems biology · 2026Article
- Integration of cell-type resolved spatial proteomics and transcriptomics reveals novel mechanisms in early ovarian cancer.medRxiv : the preprint server for health sciences · 2025Article
- Follicular metabolic dysfunction, oocyte aneuploidy and ovarian aging: a review.Journal of ovarian research · 2025Review
- Cholesterol synthesis is essential for the growth of liver metastasis-prone colorectal cancer cells.Cancer science · 2024Article
- Use of an emulated trial to investigate the association between use of nitrogen-based bisphosphonates and risk of epithelial ovarian cancer.International journal of epidemiology · 2024Article
- Revolutionizing ovarian cancer therapy by drug repositioning for accelerated and cost-effective treatments.Frontiers in oncology · 2024Review
- Enhancing Immunotherapy in Ovarian Cancer: The Emerging Role of Metformin and Statins.International journal of molecular sciences · 2023Review
- Repositioning of HMG-CoA Reductase Inhibitors as Adjuvants in the Modulation of Efflux Pump-Mediated Bacterial and Tumor Resistance.Antibiotics (Basel, Switzerland) · 2023Review
- Drug repurposing-an emerging strategy in cancer therapeutics.Naunyn-Schmiedeberg's archives of pharmacology · 2022Review
- Pretreatment HDL-C and ApoA1 are predictive biomarkers of progression-free survival in patients with EGFR mutated advanced non-small cell lung cancer treated with TKI.Thoracic cancer · 2022Article
- Response Predictive Markers and Synergistic Agents for Drug Repositioning of Statins in Ovarian Cancer.Pharmaceuticals (Basel, Switzerland) · 2022Article
- Advances in ovarian cancer treatment using a combination of statins with other drugs.Frontiers in pharmacology · 2022Review
- Statins: a repurposed drug to fight cancer.Journal of experimental & clinical cancer research : CR · 2021Review
- Report from the 36th Annual Meeting of the Korean Society of Gynecologic Oncology (KSGO).Journal of gynecologic oncology · 2021Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 3 countries.
Funding
Abstract
purposeStatins are among the most frequently prescribed drugs because of their efficacy and low toxicity in treating hypercholesterolemia. Recently, statins have been reported to inhibit the proliferative activity of cancer cells, especially those with TP53 mutations. Because TP53 mutations occur in almost all ovarian high-grade serous carcinoma (HGSC), we determined whether statins suppressed tumor growth in animal models of ovarian cancer. EXPERIMENTAL
designTwo ovarian cancer mouse models were used. The first one was a genetically engineered model, mogp-TAg, in which the promoter of oviduct glycoprotein-1 was used to drive the expression of SV40 T-antigen in gynecologic tissues. These mice spontaneously developed serous tubal intraepithelial carcinomas (STICs), which are known as ovarian cancer precursor lesions. The second model was a xenograft tumor model in which human ovarian cancer cells were inoculated into immunocompromised mice. Mice in both models were treated with lovastatin, and effects on tumor growth were monitored. The molecular mechanisms underlying the antitumor effects of lovastatin were also investigated.
resultsLovastatin significantly reduced the development of STICs in mogp-TAg mice and inhibited ovarian tumor growth in the mouse xenograft model. Knockdown of prenylation enzymes in the mevalonate pathway recapitulated the lovastatin-induced antiproliferative phenotype. Transcriptome analysis indicated that lovastatin affected the expression of genes associated with DNA replication, Rho/PLC signaling, glycolysis, and cholesterol biosynthesis pathways, suggesting that statins have pleiotropic effects on tumor cells.
conclusionsThe above results suggest that repurposing statin drugs for ovarian cancer may provide a promising strategy to prevent and manage this devastating disease.
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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.