Journal article
Prediction of Epithelial Ovarian Cancer Outcomes With Integration of Genomic Data
Clinical obstetrics and gynecology, Vol.63(1), pp.92-108
03/2020
DOI: 10.1097/GRF.0000000000000493
PMID: 31789830
Abstract
Some of the patients with epithelial ovarian cancer will not respond to initial therapy. These patients have a poor prognosis. Our aim was to identify patients with a worse prognosis by integrating clinical, pathologic, and genomic data. Using publicly available genomic data and integrating it with clinical data, we significantly improved the prediction of patients with worse surgical outcomes and those who do not respond to initial chemotherapy. We further improved these models with more precise data collection and better understanding of the genetic background of the studied population. Better prediction will lead to better patient classification and opportunities for individualized treatment.
Details
- Title: Subtitle
- Prediction of Epithelial Ovarian Cancer Outcomes With Integration of Genomic Data
- Creators
- Andreea M Newtson - Department of Obstetrics and Gynecology, Division of Gynecologic Oncology.Eric J Devor - University of IowaJesus Gonzalez Bosquet - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Clinical obstetrics and gynecology, Vol.63(1), pp.92-108
- DOI
- 10.1097/GRF.0000000000000493
- PMID
- 31789830
- ISSN
- 0009-9201
- eISSN
- 1532-5520
- Grant note
- R01 CA184101 / NCI NIH HHS
- Language
- English
- Date published
- 03/2020
- Academic Unit
- Obstetrics and Gynecology
- Record Identifier
- 9984315746602771
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