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ATP\u2010binding cassette (ABC) proteins constitute a large family dedicated to active transmembrane transport including transport of xenobiotics.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and methods<\/jats:title><jats:p>mRNA level was measured by quantitative RT\u2010PCR in tumor tissues from OC patients. Bioinformatics analyses were applied to two gene expression datasets (60 primary tumors and 29 peritoneal metastases). Two different approaches of expression data normalization were applied in parallel, and their results were compared. Data from publically available cancer datasets were checked to further validate our conclusions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The results showed significant connections between ABC gene expression profiles and time to progression (TTP), chemotherapy resistance, and metastatic progression in OC. Two consensus ABC gene profiles with clinical meaning were documented. (a) Downregulation of <jats:italic>ABCC4, ABCC10, ABCD3, ABCE1, ABCF1, ABCF2,<\/jats:italic> and <jats:italic>ABCF3 <\/jats:italic>was connected with the best sensitivity to chemotherapy and TTP. (b) Oppositely, downregulation of <jats:italic>ABCB11<\/jats:italic> and upregulation of <jats:italic>ABCB1<\/jats:italic> and <jats:italic>ABCG2<\/jats:italic> were connected with the worst sensitivity to chemotherapy and TTP. Results from publicly available online databases supported our conclusions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>This study stressed the connection between two well\u2010documented ABC genes and clinicopathological features\u2014<jats:italic>ABCB1<\/jats:italic> and <jats:italic>ABCG2<\/jats:italic>. Moreover, we showed a comparable connection also for several other ABC genes\u2014<jats:italic>ABCB11, ABCC4, ABCC10, ABCD3,<\/jats:italic> <jats:italic>ABCE1<\/jats:italic>, <jats:italic>ABCF1, ABCF2,<\/jats:italic> and <jats:italic>ABCF3<\/jats:italic>. Our results add new clinically relevant information to this oncology field and can stimulate further exploration.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cam4.1964","type":"journal-article","created":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T08:14:18Z","timestamp":1548317658000},"page":"606-616","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["Association of ABC gene profiles with time to progression and resistance in ovarian cancer revealed by bioinformatics analyses"],"prefix":"10.1002","volume":"8","author":[{"given":"Karolina","family":"Seborova","sequence":"first","affiliation":[{"name":"Toxicogenomics Unit National Institute of Public Health Prague Czech Republic"},{"name":"Biomedical Center, Faculty of Medicine in Pilsen Charles University Pilsen Czech 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