Journal article
Association analysis of a chemo-response signature identified within The Cancer Genome Atlas aimed at predicting genetic risk for chemo-response in ovarian cancer
International Journal of Molecular Epidemiology and Genetics, Vol.7(1), pp.41-44
2016
PMCID: PMC4858615
PMID: 27186327
Abstract
Background: A gene signature associated with chemo-response in ovarian cancer was created through integration of biological data in The Cancer Genome Atlas (TCGA) and validated in five independent microarray experiments. Our study aimed to determine if single nucleotide polymorphisms (SNPs) within the 422-gene signature were associated with a genetic predisposition to platinum-based chemotherapy response in serous ovarian cancer. Methods: An association analysis between SNPs within the 422-gene signature and chemo-response in serous ovarian cancer was performed under the log-additive genetic model using the ‘SNPassoc’ package within the R environment (p<0.0001). Subsequent validation of statistically significant SNPs was done in the Ovarian Cancer Association Consortium (OCAC) database. Results: 19 SNPs were found to be associated with chemo-response with statistical significance. None of the SNPs found significant in TCGA were validated within OCAC for the outcome of interest, chemo-response. Conclusions: SNPs associated with chemo-response in ovarian cancer within TGCA database were not validated in a larger database of patients and controls from OCAC. New strategies integrating somatic and germline information may help to characterize genetic predictors for treatment response in ovarian cancer.
Details
- Title: Subtitle
- Association analysis of a chemo-response signature identified within The Cancer Genome Atlas aimed at predicting genetic risk for chemo-response in ovarian cancer
- Creators
- Erin A Salinas - Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Iowa Hospitals and ClinicsAndreea M Newtson - Department of Obstetrics and Gynecology, University of Iowa Hospitals and ClinicsKimberly K Leslie - Department of Obstetrics and Gynecology, University of Iowa Hospitals and ClinicsJesus Gonzalez-Bosquet - Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Iowa Hospitals and Clinics
- Resource Type
- Journal article
- Publication Details
- International Journal of Molecular Epidemiology and Genetics, Vol.7(1), pp.41-44
- Publisher
- e-Century Publishing Corporation
- PMID
- 27186327
- PMCID
- PMC4858615
- ISSN
- 1948-1756
- eISSN
- 1948-1756
- Language
- English
- Date published
- 2016
- Academic Unit
- Obstetrics and Gynecology
- Record Identifier
- 9983931812602771
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