Journal article
A predictive model for serous epithelial ovarian cancer chemo-response using clinical characteristics
Proceedings in obstetrics and gynecology, Vol.8(1), pp.1-2
02/26/2018
DOI: 10.17077/2154-4751.1390
Abstract
One of the prognostic factors most highly associated with ovarian cancer survival is response to initial chemotherapy. Current prediction models of chemo-response built with comprehensive molecular datasets, like The Cancer Genome Atlas (TCGA), could be improved by including clinical and outcomes data designed to study response to treatment. The objective of this study was to create a prediction model of ovarian cancer chemo-response using clinical-pathological features, and to compare its performance with a similar TCGA clinical model.
Keywords: Ovarian cancer, serous epithelial ovarian cancer, chemotherapy, chemotherapy response, prediction model, clinical predictors, TCGA
Details
- Title: Subtitle
- A predictive model for serous epithelial ovarian cancer chemo-response using clinical characteristics
- Creators
- Andreea Mihai Newtson - University of Iowa Hospitals and ClinicsRebecca K Chung - University of Iowa Hospitals and ClinicsEric J Devor - University of IowaErin A Salinas - University of Iowa Hospitals and ClinicsMegan E McDonald - University of IowaKristina W. Thiel - University of IowaMichael J. Goodheart - University of IowaKimberly K. Leslie - University of IowaBrian J Smith - University of IowaJesus Gonzalez-Bosquet - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Proceedings in obstetrics and gynecology, Vol.8(1), pp.1-2
- DOI
- 10.17077/2154-4751.1390
- ISSN
- 2154-4751
- eISSN
- 2154-4751
- Language
- English
- Date published
- 02/26/2018
- Academic Unit
- Biostatistics; Holden Comprehensive Cancer Center; Obstetrics and Gynecology
- Record Identifier
- 9984227041002771
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