Cisplatin resistant spheroids model clinically relevant survival mechanisms in ovarian tumors

dc.contributor.author Chowanadisai, Winyoo
dc.contributor.author Messerli, Shanta M.
dc.contributor.author Miller, Daniel H.
dc.contributor.author Medina, Jamie E.
dc.contributor.author Hamilton, Joshua W.
dc.contributor.author Messerli, Mark A.
dc.contributor.author Brodsky, Alexander S.
dc.date.accessioned 2016-03-31T15:11:30Z
dc.date.available 2016-03-31T15:11:30Z
dc.date.issued 2016-03-17
dc.description © The Author(s), 2016. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in PLoS 11 (2016): e0151089, doi: 10.1371/journal.pone.0151089 . en_US
dc.description.abstract The majority of ovarian tumors eventually recur in a drug resistant form. Using cisplatin sensitive and resistant cell lines assembled into 3D spheroids we profiled gene expression and identified candidate mechanisms and biological pathways associated with cisplatin resistance. OVCAR-8 human ovarian carcinoma cells were exposed to sub-lethal concentrations of cisplatin to create a matched cisplatin-resistant cell line, OVCAR-8R. Genome-wide gene expression profiling of sensitive and resistant ovarian cancer spheroids identified 3,331 significantly differentially expressed probesets coding for 3,139 distinct protein-coding genes (Fc >2, FDR < 0.05) (S2 Table). Despite significant expression changes in some transporters including MDR1, cisplatin resistance was not associated with differences in intracellular cisplatin concentration. Cisplatin resistant cells were significantly enriched for a mesenchymal gene expression signature. OVCAR-8R resistance derived gene sets were significantly more biased to patients with shorter survival. From the most differentially expressed genes, we derived a 17-gene expression signature that identifies ovarian cancer patients with shorter overall survival in three independent datasets. We propose that the use of cisplatin resistant cell lines in 3D spheroid models is a viable approach to gain insight into resistance mechanisms relevant to ovarian tumors in patients. Our data support the emerging concept that ovarian cancers can acquire drug resistance through an epithelial-to-mesenchymal transition. en_US
dc.description.sponsorship This work was funded by the NIH NCRR supplement grant P41 RR001395-27S1 (J.W.H.), NSF DBI-1005378 “REU Site: Biological Discovery in Woods Hole”, faculty startup funds from the Office of Research at Oklahoma State University (W.C.), and the Mary Kay Foundation (A.S.B.). en_US
dc.identifier.citation PLoS 11 (2016): e0151089 en_US
dc.identifier.doi 10.1371/journal.pone.0151089
dc.identifier.uri https://hdl.handle.net/1912/7916
dc.language.iso en_US en_US
dc.publisher Public Library of Science en_US
dc.relation.uri https://doi.org/10.1371/journal.pone.0151089
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.title Cisplatin resistant spheroids model clinically relevant survival mechanisms in ovarian tumors en_US
dc.type Article en_US
dspace.entity.type Publication
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S1 Table. List of primer sequences used for qPCR
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S2 Table. List of genes significantly differentially expressed between OVCAR-8R and OVCAR-8 spheroids
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S3 Table. Gene Set Enrichment Analysis (GSEA) of the Cancer Hallmarks and Reactome gene sets.
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