Journal article
Stratification of endometrioid endometrial cancer patients into risk levels using somatic mutations
Gynecologic Oncology, Vol.142(1), pp.150-157
07/2016
DOI: 10.1016/j.ygyno.2016.05.012
PMCID: PMC5257080
PMID: 27181389
Abstract
Patients with endometrioid endometrial cancer are stratified as high risk and low risk for extrauterine disease by surgical staging. Since patients with low-grade, minimally invasive disease do not benefit from comprehensive staging, pre-surgery stratification into a risk category may prevent unnecessary surgical staging in low risk patients. Our objective was to develop a predictive model to identify risk levels using somatic mutations that could be used preoperatively. We classified endometrioid endometrial cancer patients in The Cancer Genome Atlas (TCGA) dataset into high risk and low risk categories: high risk patients presented with stage II, III or IV disease or stage I with high-intermediate risk features, whereas low risk patients consisted of the remaining stage I patients with either no myometrial invasion or low-intermediate risk features. Three strategies were used to build the prediction model: 1) mutational status for each gene; 2) number of somatic mutations for each gene; and 3) variant allele frequencies for each somatic mutation for each gene. Each prediction strategy had a good performance, with an area under the curve (or AUC) between 61% and 80%. Analysis of variant allele frequency produced a superior prediction model for risk levels of endometrial cancer as compared to the other two strategies, with an AUC=91%. Lasso and Ridge methods identified 53 mutations that together had the highest predictability for high risk endometrioid endometrial cancer. This prediction model will assist future retrospective and prospective studies to categorize endometrial cancer patients into high risk and low risk in the preoperative setting. [Display omitted] •We designed a prediction model to stratify endometrial cancer patients by risk levels using somatic mutations from TCGA.•The prediction model including variant allele frequencies for each somatic gene mutation was superior to any other strategy.•Stratifying patients accordingly to risk could individualize cancer treatment before and after surgery.
Details
- Title: Subtitle
- Stratification of endometrioid endometrial cancer patients into risk levels using somatic mutations
- Creators
- Donghai Dai - Department of Obstetrics and Gynecology, University of Iowa, Iowa City, IA, United StatesKristina W Thiel - Department of Obstetrics and Gynecology, University of Iowa, Iowa City, IA, United StatesErin A Salinas - Department of Obstetrics and Gynecology, University of Iowa, Iowa City, IA, United StatesMichael J Goodheart - Department of Obstetrics and Gynecology, University of Iowa, Iowa City, IA, United StatesKimberly K Leslie - Department of Obstetrics and Gynecology, University of Iowa, Iowa City, IA, United StatesJesus Gonzalez Bosquet - Department of Obstetrics and Gynecology, University of Iowa, Iowa City, IA, United States
- Resource Type
- Journal article
- Publication Details
- Gynecologic Oncology, Vol.142(1), pp.150-157
- DOI
- 10.1016/j.ygyno.2016.05.012
- PMID
- 27181389
- PMCID
- PMC5257080
- NLM abbreviation
- Gynecol Oncol
- ISSN
- 0090-8258
- eISSN
- 1095-6859
- Publisher
- Elsevier Inc
- Language
- English
- Date published
- 07/2016
- Academic Unit
- Obstetrics and Gynecology
- Record Identifier
- 9983930283402771
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