ReviewEndocrinology2012
Minireview: animal models and mechanisms of ovarian cancer development.
Review in Endocrinology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
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Who cites it
31 citing papers in PubMed.
- Assessing the roles of collagen fiber morphology and matrix stiffness on ovarian cancer cell migration dynamics using multiphoton fabricated orthogonal image-based models.Acta biomaterialia · 2022Article
- Modeling the Tumor Microenvironment of Ovarian Cancer: The Application of Self-Assembling Biomaterials.Cancers · 2021Review
- The hallmarks of ovarian cancer: proliferation and cell growth.EJC supplements : EJC : official journal of EORTC, European Organization for Research and Treatment of Cancer ... [et al.] · 2020Article
- Role of Collagen Fiber Morphology on Ovarian Cancer Cell Migration Using Image-Based Models of the Extracellular Matrix.Cancers · 2020Article
- Migration dynamics of ovarian epithelial cells on micro-fabricated image-based models of normal and malignant stroma.Acta biomaterialia · 2019Article
- Characteristics of in Vivo Model Systems for Ovarian Cancer Studies.Diagnostics (Basel, Switzerland) · 2019Review
- In Utero Exposure to Benzo[a]pyrene Induces Ovarian Mutations at Doses That Deplete Ovarian Follicles in Mice.Environmental and molecular mutagenesis · 2019Article
- Measurement of Tumor Antioxidant Capacity and Prediction of Chemotherapy Resistance in Preclinical Models of Ovarian Cancer by Positron Emission Tomography.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019Article
- The oncogene KRAS promotes cancer cell dissemination by stabilizing spheroid formation via the MEK pathway.BMC cancer · 2018Article
- Charged-Iron-Particles Found in Galactic Cosmic Rays are Potent Inducers of Epithelial Ovarian Tumors.Radiation research · 2018Article
- Article
- Amplification of R-spondin1 signaling induces granulosa cell fate defects and cancers in mouse adult ovary.Oncogene · 2017Article
- Follicle Depletion Provides a Permissive Environment for Ovarian Carcinogenesis.Molecular and cellular biology · 2016Article
- Molecular manipulation of keratin 8/18 intermediate filaments: modulators of FAS-mediated death signaling in human ovarian granulosa tumor cells.Journal of ovarian research · 2016Article
- Article
- FOXO1/3 and PTEN Depletion in Granulosa Cells Promotes Ovarian Granulosa Cell Tumor Development.Molecular endocrinology (Baltimore, Md.) · 2015Article
- The promise and challenge of ovarian cancer models.Translational cancer research · 2015Article
- Mitochondrial division inhibitor 1 (mdivi-1) enhances death receptor-mediated apoptosis in human ovarian cancer cells.Biochemical and biophysical research communications · 2015Article
- Murine model for non-invasive imaging to detect and monitor ovarian cancer recurrence.Journal of visualized experiments : JoVE · 2014Article
- Triggering necroptosis in cisplatin and IAP antagonist-resistant ovarian carcinoma.Cell death & disease · 2014Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Ovarian cancer in women is a complex and deadly disease, where the molecular events that initiate and control tumor formation remain poorly defined. Therefore, mouse models provide one approach for determining the mechanisms by which specific oncogenic factors cause ovarian surface epithelial cell and granulosa cell transformation. This minireview summarizes the phenotypes of current mouse models that have been generated and some of the underlying mechanisms they have provided.
Indexed as
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What OpenQuestion holds
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.