ArticleCancer science2016
Novel 3-D cell culture system for in vitro evaluation of anticancer drugs under anchorage-independent conditions.
Article in Cancer science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Prospects and challenges of ovarian cancer organoids in chemotherapy research (Review).Oncology letters · 2025Review
- Reversible suspension culture of human vascular smooth muscle cells using the functional biopolymer FP003.In vitro cellular & developmental biology. Animal · 2023Article
- Patient-Derived Sarcoma Organoids Offer a Novel Platform for Personalized Precision Medicine.Annals of surgical oncology · 2022Article
- Macrophage/microglia-derived IL-1β induces glioblastoma growth via the STAT3/NF-κB pathway.Human cell · 2022Article
- Carboplatin response in preclinical models for ovarian cancer: comparison of 2D monolayers, spheroids, ex vivo tumors and in vivo models.Scientific reports · 2021Article
- Review
- Exploring the Potential of Drug Response Assays for Precision Medicine in Ovarian Cancer.International journal of molecular sciences · 2020Review
- Article
- The transcriptional coactivator WBP2 primes triple-negative breast cancer cells for responses to Wnt signaling via the JNK/Jun kinase pathway.The Journal of biological chemistry · 2018Article
- The Role of Tumor Microenvironment in Chemoresistance: 3D Extracellular Matrices as Accomplices.International journal of molecular sciences · 2018Article
- Insulin secretion of mixed insulinoma aggregates-gelatin hydrogel microspheres after subcutaneous transplantation.Regenerative therapy · 2018Article
- Oligodendrocyte Progenitor Cells and Macrophages/Microglia Produce Glioma Stem Cell Niches at the Tumor Border.EBioMedicine · 2018Article
- Three-dimensional culture of chicken primordial germ cells (cPGCs) in defined media containing the functional polymer FP003.PloS one · 2018Article
- Novel 3-D cell culture system for in vitro evaluation of anticancer drugs under anchorage-independent conditions.Cancer science · 2016Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Anticancer drug discovery efforts have used 2-D cell-based assay models, which fail to forecast in vivo efficacy and result in a lower success rate of clinical approval. Recent 3-D cell culture models are expected to bridge the gap between 2-D and in vivo models. However, 3-D cell culture methods that are available for practical anticancer drug screening have not yet been fully attained. In this study, we screened several polymers for their ability to suspend cells or cell spheroids homogeneously in a liquid medium without changing the viscosity behavior, and identified gellan gum (FP001), as the most potent polymer. FP001 promoted cell dispersion in the medium and improved the proliferation of a wide range of cancer cell lines under low attachment conditions by inhibiting the formation of large-sized spheroids. In addition, cancer cells cultured with FP001-containing medium were more susceptible to inhibitors of epidermal growth factor (EGF) signaling than those cultured under attachment conditions. We also showed that ligands of the EGF receptor family clearly enhance proliferation of SKOV3 ovarian carcinoma cells under anchorage-independent conditions with FP001. Consistent with this result, the cells grown with FP001 showed higher EGF receptor content compared with cells cultured under attachment conditions. In conclusion, we developed a novel 3-D cell culture system that is available for high throughput screening of anticancer agents, and is suitable for evaluation of molecular-targeted anticancer drugs. Three-dimensional cell culture using FP001 will be of value in the development of useful technologies for anticancer drug discovery.
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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.