ReviewJournal of ovarian research2023
Insights into high-grade serous carcinoma pathobiology using three-dimensional culture model systems.
Review in Journal of ovarian research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed, 16 citations in OpenAlex.
- ULK1 promotes metastatic progression in experimental models of epithelial ovarian cancer.Oncogene · 2026Article
- Evaluating the Therapeutic Potential of MRT68921 and Afatinib in Three-Dimensional Models of Epithelial Ovarian Cancer.Cancers · 2026Article
- Article
- Genomic and clinical insights into ovarian cancer: subtype-specific alterations and predictors of metastasis and relapse.Discover oncology · 2025Article
- Article
- Comparison of two-dimensional and three-dimensional culture systems and their responses to chemotherapy in cells representing disease progression of high-grade serous ovarian cancer.Biochemistry and biophysics reports · 2024Article
- Article
- Multicellular ovarian cancer spheroids: novel 3D model to mimic tumour complexity.Scientific reports · 2024Article
- The role of STK11/LKB1 in cancer biology: implications for ovarian tumorigenesis and progression.Frontiers in cell and developmental biology · 2024Review
- Exploiting a living biobank to delineate mechanisms underlying disease-specific chromosome instability.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2023Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Epithelial ovarian cancer (EOC) research has become more complex as researchers try to fully understand the metastatic process. Especially as we delve into the concept of tumour dormancy, where cells transition between proliferative and dormant states to survive during disease progression. Thus, the in vitro models used to conduct this research need to reflect this vast biological complexity. The innovation behind the many three-dimensional (3D) spheroid models has been refined to easily generate reproducible spheroids so that we may understand the various molecular signaling changes of cells during metastasis and determine therapeutic efficacy of treatments. This ingenuity was then used to develop the 3D ex vivo patient-derived organoid model, as well as multiple co-culture model systems for EOC research. Although, researchers need to continue to push the boundaries of these current models for in vitro and even in vivo work in the future. In this review, we describe the 3D models already in use, where these models can be developed further and how we can use these models to gain the most knowledge on EOC pathogenesis and discover new targeted therapies.
Indexed as
Identifiers
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.