University of Chicago Medicine researchers have built a model system that uses multiple cell types from patients to rapidly test compounds that could block the early steps in ovarian cancer metastasis. Their three-dimensional cell-culture system, adapted for high-throughput screening, has enabled them to identify small molecules that can inhibit adhesion and invasion, preventing ovarian cancers from spreading to nearby tissues.
This is a multi-layered 3-D ‘organotypic’ platform for quantitative high-throughput screening to identify new therapeutics for ovarian cancer. Fibroblasts are red. Mesothelial cells are blue. Ovarian cancer cells are green. The square image is the XY-planes (up-down, right-left). The images on the sides are Z-planes (depth).
Credit:Lengyel laboratory, University of Chicago
The study was funded by Bears Care, the charitable beneficiary of the Chicago Bears Football Club; the National Institutes of Health; the National Cancer Institute; and the National Institute of Neurological Disorders and Stroke. Additional authors were Erin A. White, Chun-Yi Chiang, Anirban K. Mitra, Yilin Zhang, Marion Curtis, Elizabeth M. Schryver and Sam Bettis from the University of Chicago; and Ajit Jadhav, Matthew B. Boxer, Madhu Lal-Nag, Min Shen, Zhuyin Li, and Marc Ferrer from the NIH’s National Center for Advancing Translational Sciences.