ArticleJournal of visualized experiments : JoVE2012
In vitro mesothelial clearance assay that models the early steps of ovarian cancer metastasis.
Article in Journal of visualized experiments : JoVE, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 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
39 citing papers in PubMed, 47 citations in OpenAlex.
- DCLK1 regulates stemness and IL-6/STAT3-dependent metastatic niche formation in chemoresistant ovarian cancer.Journal of experimental & clinical cancer research : CR · 2026Article
- 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
- CAMKKβ supports growth and viability of epithelial ovarian cancer in vitro and in vivo.Scientific reports · 2025Article
- Loss of Predicted Cell Adhesion Molecule MPZL3 Promotes EMT in Ovarian Cancer.Cancer research communications · 2025Article
- Collagen fiber density observed in metastatic ovarian cancer promotes tumor cell adhesion.Acta biomaterialia · 2025Article
- Article
- ROR2/Wnt5a Signaling Regulates Directional Cell Migration and Early Tumor Cell Invasion in Ovarian Cancer.Molecular cancer research : MCR · 2024Article
- Defining the Role of Metastasis-Initiating Cells in Promoting Carcinogenesis in Ovarian Cancer.Biology · 2023Review
- Article
- Insights into high-grade serous carcinoma pathobiology using three-dimensional culture model systems.Journal of ovarian research · 2023Review
- Matrix Gla Protein drives stemness and tumor initiation in ovarian cancer.Cell death & disease · 2023Article
- Agent-based modeling predicts RAC1 is critical for ovarian cancer metastasis.Molecular biology of the cell · 2022Article
- Extracellular Matrix Modulates Outgrowth Dynamics in Ovarian Cancer.Advanced biology · 2022Article
- Article
- Topological defects in the mesothelium suppress ovarian cancer cell clearance.APL bioengineering · 2021Article
- MAPK Signaling Is Required for Generation of Tunneling Nanotube-Like Structures in Ovarian Cancer Cells.Cancers · 2021Article
- Transient commensal clonal interactions can drive tumor metastasis.Nature communications · 2020Article
- Article
- Tumor cell‑fibroblast heterotypic aggregates in malignant ascites of patients with ovarian cancer.International journal of molecular medicine · 2019Article
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 at 1 institution in 1 country.
Funding
Abstract
Ovarian cancer is the fifth leading cause of cancer related deaths in the United States(1). Despite a positive initial response to therapies, 70 to 90 percent of women with ovarian cancer develop new metastases, and the recurrence is often fatal(2). It is, therefore, necessary to understand how secondary metastases arise in order to develop better treatments for intermediate and late stage ovarian cancer. Ovarian cancer metastasis occurs when malignant cells detach from the primary tumor site and disseminate throughout the peritoneal cavity. The disseminated cells can form multicellular clusters, or spheroids, that will either remain unattached, or implant onto organs within the peritoneal cavity(3) (Figure 1, Movie 1). All of the organs within the peritoneal cavity are lined with a single, continuous, layer of mesothelial cells(4-6) (Figure 2). However, mesothelial cells are absent from underneath peritoneal tumor masses, as revealed by electron micrograph studies of excised human tumor tissue sections(3,5-7) (Figure 2). This suggests that mesothelial cells are excluded from underneath the tumor mass by an unknown process. Previous in vitro experiments demonstrated that primary ovarian cancer cells attach more efficiently to extracellular matrix than to mesothelial cells(8), and more recent studies showed that primary peritoneal mesothelial cells actually provide a barrier to ovarian cancer cell adhesion and invasion (as compared to adhesion and invasion on substrates that were not covered with mesothelial cells)(9,10). This would suggest that mesothelial cells act as a barrier against ovarian cancer metastasis. The cellular and molecular mechanisms by which ovarian cancer cells breach this barrier, and exclude the mesothelium have, until recently, remained unknown. Here we describe the methodology for an in vitro assay that models the interaction between ovarian cancer cell spheroids and mesothelial cells in vivo (Figure 3, Movie 2). Our protocol was adapted from previously described methods for analyzing ovarian tumor cell interactions with mesothelial monolayers(8-16), and was first described in a report showing that ovarian tumor cells utilize an integrin -dependent activation of myosin and traction force to promote the exclusion of the mesothelial cells from under a tumor spheroid(17). This model takes advantage of time-lapse fluorescence microscopy to monitor the two cell populations in real time, providing spatial and temporal information on the interaction. The ovarian cancer cells express red fluorescent protein (RFP) while the mesothelial cells express green fluorescent protein (GFP). RFP-expressing ovarian cancer cell spheroids attach to the GFP-expressing mesothelial monolayer. The spheroids spread, invade, and force the mesothelial cells aside creating a hole in the monolayer. This hole is visualized as the negative space (black) in the GFP image. The area of the hole can then be measured to quantitatively analyze differences in clearance activity between control and experimental populations of ovarian cancer and/ or mesothelial cells. This assay requires only a small number of ovarian cancer cells (100 cells per spheroid X 20-30 spheroids per condition), so it is feasible to perform this assay using precious primary tumor cell samples. Furthermore, this assay can be easily adapted for high throughput screening.
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.