ArticleMolecular and cellular biochemistry2008
Genomic and proteomic characterization of YDOV-157, a newly established human epithelial ovarian cancer cell line.
Article in Molecular and cellular biochemistry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 11 citations in OpenAlex.
- VGLL3 expression is associated with macrophage infiltration and predicts poor prognosis in epithelial ovarian cancer.Frontiers in oncology · 2023Article
- TOM40 Inhibits Ovarian Cancer Cell Growth by Modulating Mitochondrial Function Including Intracellular ATP and ROS Levels.Cancers · 2020Article
- PLAG1 silencing promotes cell chemosensitivity in ovarian cancer via the IGF2 signaling pathway.International journal of molecular medicine · 2020Article
- The role of S100A14 in epithelial ovarian tumors.Oncotarget · 2014Article
- Expression of stress-induced phosphoprotein1 (STIP1) is associated with tumor progression and poor prognosis in epithelial ovarian cancer.Genes, chromosomes & cancer · 2014Article
- Lipocalin2 expressions correlate significantly with tumor differentiation in epithelial ovarian cancer.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2009Article
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
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Abstract
The existence of several model systems with which to investigate a particular disease is advantageous for researchers. This is especially true for ovarian cancer, which, due to its complex and heterogeneous nature, inherently requires a large number of model systems. Here, we report a new ovarian serous adenocarcinoma cell line, designated YDOV-157, and characterized via post genomics and post proteomics. In this study, primary culture of tumor cells from ascites was performed and the cells were immortalized up to at least 60 passages in vitro. We studied the morphologies, cell proliferation, BRCA1/2 mutations, tumorigenesis capacity, and chemosensitivity of YDOV-157. Using a cDNA microarray, differentially expressed genes were identified and some of them were validated. Using proteomic analysis, we identified proteins that were differentially expressed in YDOV-157. The newly derived cell line, designated YDOV-157, grew as a monolayer and the doubling time was 102 h. When transplanted into nude mice, it initiated the formation of tumor masses with microscopic findings identical to those of the primary tumor. Chemosensitivity test showed that paclitaxel induced the highest chemosensitivity index. In microarray analysis, 2,520 probes were differently expressed, compared to human ovarian surface epithelial cells (HOSEs). In SYBR Green real-time PCR, the expression of E2F2 (P = 0.040) and CRABP2 genes (P = 0.030) was significantly higher in the ovarian cancer cell lines than in HOSEs. Furthermore, proteomic analysis showed that expression of 28 spots was significantly altered between YDOV-157 and HOSE. In conclusion, the newly derived YDOV-157 cell line may be an important research resource for studying cancer cell biology and should also be very useful for developing new strategies that inhibit cancer cell growth and progression.
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