Association of ABC gene profiles with time to progression and resistance in ovarian cancer revealed by bioinformatics analyses

Author:

Seborova Karolina12,Vaclavikova Radka12,Soucek Pavel12,Elsnerova Katerina123,Bartakova Alena4,Cernaj Petr4,Bouda Jiri4,Rob Lukas5,Hruda Martin5,Dvorak Pavel26ORCID

Affiliation:

1. Toxicogenomics Unit; National Institute of Public Health; Prague Czech Republic

2. Biomedical Center, Faculty of Medicine in Pilsen; Charles University; Pilsen Czech Republic

3. Third Faculty of Medicine; Charles University; Prague Czech Republic

4. Department of Gynecology and Obstetrics, Faculty of Medicine and University Hospital in Pilsen; Charles University; Pilsen Czech Republic

5. Department of Gynecology and Obstetrics, Third Faculty of Medicine and Faculty Hospital Kralovske Vinohrady; Charles University; Prague Czech Republic

6. Department of Biology, Faculty of Medicine in Pilsen; Charles University; Pilsen Czech Republic

Funder

Univerzita Karlova v Praze

Ministry of Education Youth and Sports of the Czech Republic

Ministerstvo Zdravotnictví Ceské Republiky

Grantová Agentura České Republiky

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

Reference52 articles.

1. Cancer statistics, 2017;Siegel;CA Cancer J. Clin,2017

2. Epidemiology of ovarian cancer: a review;Reid;Cancer Biol Med,2017

3. Pathology and classification of ovarian tumors;Chen;Cancer,2015

4. FIGO´s staging classification for cancer of the ovary, fallopian tube, and peritoneum: abridged republication;Prat;J Gynecol Oncol,2015

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