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. 2022 Feb 10;10:836984. doi: 10.3389/fbioe.2022.836984

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Copyright © 2022 Yee, Dickson, Muntasir, Ma and Marsh.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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A bench-to-bedside approach using 3D cell cultures to fast track personalized therapies for ovarian cancers. Utilization of (A) samples from multiple patient tumor sites, (B) isolation of cancer cells ex vivo for (C) molecular profiling and (D) propagation as 3D cell cultures can identify clues regarding a patient’s unique tumor phenotype. Based on these findings, (E) a high-throughput drug screen of molecularly relevant drugs in 3D cell cultures can be employed to predict drug efficacy and utilized to guide a personalized medicine approach. Created with Biorender.com.