ReviewAdvanced drug delivery reviews2014
Three-dimensional modeling of ovarian cancer.
Review in Advanced drug delivery reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- MARCKS contributes to stromal cancer-associated fibroblast activation and facilitates ovarian cancer metastasis.Oncotarget · 2016Pooled it
- 3D pentaculture model unveils malignant cell-driven macrophage polarization in high-grade serous ovarian cancer.Nature communications · 2026Article
- Inflammasomes meet organoids and artificial intelligence: unraveling the complexity of gynecological inflammation.Frontiers in immunology · 2026Review
- Multifaceted cancer alleviation by cowpea mosaic virus in a bioprinted ovarian cancer peritoneal spheroid model.Biomaterials · 2024Article
- Omentum-derived matrix enables the study of metastatic ovarian cancer and stromal cell functions in a physiologically relevant environment.Matrix biology plus · 2023Article
- Porcine endometrial 3D co-culture: Morphological changes in 3D endometrium tissues according to hormonal changes.Histology and histopathology · 2021Article
- Sonosensitizer-Functionalized Graphene Nanoribbons for Adhesion Blocking and Sonodynamic Ablation of Ovarian Cancer Spheroids.Advanced healthcare materials · 2021Article
- Review
- Global miRNA/proteomic analyses identify miRNAs at 14q32 and 3p21, which contribute to features of chronic iron-exposed fallopian tube epithelial cells.Scientific reports · 2021Article
- Employing hydrogels in tissue engineering approaches to boost conventional cancer-based research and therapies.RSC advances · 2021Review
- Three-dimensional culture and clinical drug responses of a highly metastatic human ovarian cancer HO-8910PM cells in nanofibrous microenvironments of three hydrogel biomaterials.Journal of nanobiotechnology · 2020Article
- Designer Self-Assembling Peptide Hydrogels to Engineer 3D Cell Microenvironments for Cell Constructs Formation and Precise Oncology Remodeling in Ovarian Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Review
- Article
- Notch3 signaling promotes tumor cell adhesion and progression in a murine epithelial ovarian cancer model.PloS one · 2020Article
- Marine Collagen Substrates for 2D and 3D Ovarian Cancer Cell Systems.Frontiers in bioengineering and biotechnology · 2019Article
- The oncogene KRAS promotes cancer cell dissemination by stabilizing spheroid formation via the MEK pathway.BMC cancer · 2018Article
- A combined microfluidic-transcriptomic approach to characterize the extravasation potential of cancer cells.Oncotarget · 2018Article
- Review
- Review
- Reprogramming of stromal fibroblasts by SNAI2 contributes to tumor desmoplasia and ovarian cancer progression.Molecular cancer · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
New models for epithelial ovarian cancer initiation and metastasis are required to obtain a mechanistic understanding of the disease and to develop new therapeutics. Modeling ovarian cancer however is challenging as a result of the genetic heterogeneity of the malignancy, the diverse pathology, the limited availability of human tissue for research, the atypical mechanisms of metastasis, and because the origin is unclear. Insights into the origin of high-grade serous ovarian carcinomas and mechanisms of metastasis have resulted in the generation of novel three-dimensional (3D) culture models that better approximate the behavior of the tumor cells in vivo than prior two-dimensional models. The 3D models aim to recapitulate the tumor microenvironment, which has a critical role in the pathogenesis of ovarian cancer. Ultimately, findings using models that accurately reflect human ovarian cancer biology are likely to translate into improved clinical outcomes. In this review we discuss the design of new 3D culture models of ovarian cancer primarily using human cells, key studies in which these models have been applied, current limitations, and future applications.
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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.